software engineer Jobs in New York United States

software engineer

associate software engineer Jobs in New York United States

associate software engineer

new grad software engineer Jobs in New York United States

new grad software engineer

senior data engineer Jobs in New York United States

senior data engineer

senior lead ai engineer Jobs in New York United States

senior lead ai engineer

senior lead software engineer

Information Technology Senior Management Forum

<div><div>Posted Date
11/07/2025
</div><div>Description
<div>Senior Lead AI Engineer
Overview: 
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
Team Description:
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 
In this role, you will:<ul><li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li></ul><ul><li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li></ul><ul><li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li></ul><ul><li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</li></ul><ul><li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul>
The Ideal Candidate:<ul><li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li></ul><ul><li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li></ul><ul><li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li></ul><ul><li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul>
Basic Qualifications:<ul><li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>
At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul>
Preferred Qualifications:<ul><li>
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>
Experience designing, developing, integrating, delivering, and supporting complex AI systems</li><li>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li><li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer 

New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer 

San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 

San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer
Overview: 
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
Team Description:
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 
In this role, you will:<ul><li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li></ul><ul><li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li></ul><ul><li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li></ul><ul><li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</li></ul><ul><li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul>
The Ideal Candidate:<ul><li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li></ul><ul><li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li></ul><ul><li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li></ul><ul><li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul>
Basic Qualifications:<ul><li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>
At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul>
Preferred Qualifications:<ul><li>
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>
Experience designing, developing, integrating, delivering, and supporting complex AI systems</li><li>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li><li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer 

New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer 

San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 

San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>
</div><div>Salary
225,400.00 - 257,200.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Senior Lead AI Engineer

Spring & Bond

<div>About us:
Spring &amp; Bond is a digital media agency and consultancy specializing in helping pharmaceutical and medical device manufacturers create robust, omnichannel media strategies for both healthcare professionals (HCPs) and consumer audiences. We emphasize transparency and client empowerment through comprehensive services, including customer journey planning, media strategy and activation, technology evaluation, in-house capability development, and training.
Spring &amp; Bond is a digital media agency and consultancy helping pharmaceutical and medical device manufacturers build robust, omnichannel-enabled media executions for both HCP and consumer audiences. Our focus is on client empowerment through services like customer journey planning, media strategy &amp; activation, technology evaluation, in-house capability development, and training.
We are looking for a Senior Data Engineer to help drive the design, build, and scale of our data infrastructure. This role will be responsible for architecting and maintaining multi-cloud data platforms, optimizing ETL pipelines, and ensuring data quality and availability across the organization. As a senior member of the Data Engineering team, you will not only deliver hands-on technical solutions but also mentor junior engineers, guide best practices, and help shape the direction of our data engineering capabilities.
Core Responsibilities<ul><li>
Architect and optimize robust, scalable ETL pipelines and workflows to ingest, transform, and deliver data from multiple sources.</li><li>
Ensure data integrity and governance through validation frameworks, schema design, and proactive monitoring.</li><li>
Leverage advanced SQL and programming skills to extract, transform, and analyze data efficiently.</li><li>
Develop automation using Python, Pandas, AWS Lambda, and related tools to improve operational efficiency.</li><li>
Design and manage data platforms, including Snowflake, Athena, Redshift, BigQuery, and other cloud-based solutions.</li><li>
Collaborate cross-functionally with analysts, strategists, and business leaders to translate business requirements into technical solutions.</li><li>
Mentor and coach junior data engineers, setting standards for code quality, documentation, and best practices.</li><li>
Lead vendor and partner integrations, ensuring seamless data delivery and alignment with internal standards.</li><li>
Communicate effectively with both technical and non-technical stakeholders, providing clear insight and direction.</li><li>
Drive innovation, identifying opportunities to improve performance, scalability, and usability of our data systems.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Engineering, or related field&mdash;or equivalent experience.</li><li>
5&ndash;7+ years of experience in data engineering, with proven success building and scaling data systems.</li><li>
Expert knowledge of SQL and Python, including performance optimization and data manipulation libraries (e.g., Pandas).</li><li>
Strong experience with AWS data products (S3, Redshift, Athena, Lambda) and familiarity with multi-cloud environments.</li><li>
Deep understanding of data modeling, schema design, and best practices for large-scale data solutions.</li><li>
Demonstrated ability to design secure, reliable pipelines and troubleshoot complex issues.</li><li>
Experience leading projects and mentoring other engineers.</li><li>
Excellent communication, critical thinking, and problem-solving skills.</li><li>
Comfortable managing multiple priorities and delivering in a fast-paced environment.</li></ul><h2 class="jobSectionHeader">
Great-to-Haves</h2><ul><li>
Experience with data transformation and productivity tools (dbt, Jinja, etc.).</li><li>
Familiarity with Snowflake (Notebooks, Worksheets, VS Code plugin).</li><li>
Knowledge of data visualization platforms such as Looker Studio or similar BI tools.</li><li>
Exposure to digital marketing analytics and measurement frameworks.</li></ul>
Benefits:<ul><li>
Remote-first team environment</li><li>
Coverage for medical, dental, and vision insurance for you and your dependents</li><li>
Disability insurance plan</li><li>
Matching 401K</li><li>
Parental leave</li><li>
Other fun health &amp; wellness perks</li></ul>
Spring &amp; Bond is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Spring &amp; Bond is a woman-owned business.
Not everyone will match the above qualifications 100%. If your experiences don&rsquo;t perfectly align, but you think you&rsquo;d be a great addition to our team, we&rsquo;d still love to hear from you.
Compensation Range: $120K - $160K</div>

Senior Data Engineer

Capital One

<div>Senior Manager, Product Designer - Capital One Software
We&rsquo;re currently seeking a Senior Manager, Product Designer to join the Capital One Software Experience Design team supporting our digital experiences &amp; site team.
We are at the forefront of shaping the digital landscape for Capital One Software, and we're looking for a lead designer to join our Software website team. As a partner to the Director of Product, this is a foundational role focused on the discovery and delivery of a compelling, best-in-class B2B digital experience. We&rsquo;re seeking someone who is obsessed with usability, customer empathy, and funnel optimization. A primary focus will be optimizing key user flows to improve task completion and customer satisfaction while building a content-rich experience that elevates discoverability through search and AI channels. You will have a direct hand in shaping the website into a high-impact, performance-driven platform that aligns with brand, sales, and growth objectives.
The Experience Design team at Capital One is at the forefront of enriching our customers&rsquo; digital and physical experiences and we are passionate about creating memorable, meaningful product experiences that build the Capital One brand with humanity and drive business advantage and innovation. We champion a thriving environment of collaboration, authenticity and healthy critique, in which we honor diversity of thought, create a culture of belonging, and elevate one another. If you&rsquo;re a creative innovator who embraces an environment where you can experiment, learn, and change banking for good, we&rsquo;d love to hear from you.
Role Expectations
As a Senior Manager Product Designer, you&rsquo;ll combine your craft expertise, influence &amp; strategic thinking with an understanding of our customers and the business. You&rsquo;ll co-create innovative solutions to complex problems, drive product strategy and contribute to a thriving team culture of high performing designers.
Here are some of the expected competencies for this role:
Product Design Expertise: Leverage established product design expertise and skills across interaction, visual and service design to elevate the quality and maturity of the design practice at Capital One; in collaboration with cross-functional partners, help to oversee and optimize the use of appropriate tools, platforms, frameworks and design systems and work with teams to develop artifacts that may include vision stories, journey maps, blueprints, high-fidelity designs and prototypes
Mentorship: Advance the craft of design at Capital One by leading, mentoring and consulting with others, providing expertise that matures the design discipline, builds our culture and enables work to move forward efficiently
Strategic Influence: You'll shape product direction and outcomes by leveraging deep content design expertise, user insights, and an understanding of the business. You'll drive alignment across product, tech, and business partners, ensuring user needs are central to our overall strategy and enabling bold, innovative solutions to complex problems.
Human-Centered: Advocate for human-centered methodologies that align customer needs and business goals by applying data, research insights, design expertise and a mature perspective to problem-solving across the portfolio
Business-Focused: Demonstrate strong knowledge of products, processes, customers, competitors and broader market trends and use that knowledge to shape how Design should engage (i.e., actively managing the portfolio, pivoting, redirecting and broadening and narrowing scope, as needed)
Problem-Solving: Own the problem-solving approach (issue, impact, resolution) and apply good judgment when exploring alternatives and balancing competing interests or priorities, leveraging leadership for input and alignment. Bring exceptional creativity to exploring a solution space.
Collaboration: Engage partner expertise and perspectives from across the organization to support workstream projects and identify the people needed to move the work forward, embracing compromise to solve strategic challenges and deliver the best results
Communication: Present work across levels and job functions, modeling a strategic human-centered approach that integrates design frameworks, data and research insights to make the complex accessible, influence stakeholders and achieve desired results
The ideal candidate has a strong portfolio demonstrating your leadership, process, results and impact.
Basic Qualifications<ul><li>
At least 6 years of experience in a Product Design role</li><li>
At least 6 years of experience in design and prototyping tools such as Figma</li></ul>
Preferred Qualifications<ul><li>
At least 8 years of experience in a Product Design role</li><li>
At least 8 years of experience in design and prototyping tools such as Figma</li><li>
Experience working with and contributing to an established design system</li><li>
Experience collaborating with product, tech and business leaders</li><li>
Experience leading design projects or teams</li><li>
Experience working in heavily regulated, data heavy problem spaces</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $193,000 - $220,300 for Sr. Manager, Design 

New York, NY: $210,500 - $240,300 for Sr. Manager, Design 

Richmond, VA: $175,500 - $200,300 for Sr. Manager, Design 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Senior Manager, Product Designer - Capital One Software

Phamily

<div>
 
 Location:
 
 Remote, New York, Chicago, Atlanta, Seattle
 
 
 Jaan Health&rsquo;s team is growing! We&rsquo;re looking for several experienced
 
 Senior Software Engineers
 
 to join us on our mission to transform healthcare by powering proactive care at population scale.
 
 
 
 Who We Are
 
 
 
 Jaan Health is a rapidly growing software company focused on leveraging accessible technology and artificial intelligence (AI) to drive better healthcare outcomes for patients while addressing the increasing cost and profitability challenges facing the healthcare industry. Our SaaS platform, Phamily, provides healthcare systems and physicians with an AI-powered virtual care platform that enables them to efficiently and easily manage the chronic conditions and general healthcare needs of their patients between office visits, while also increasing their own reimbursement and financial sustainability in the process. Phamily helps transform healthcare from reactive episodic treatment to proactive care management.
 
 
 We've helped hundreds of thousands of patients since our founding. We need your help to serve even more patients and revolutionize healthcare delivery!
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 We are looking for several entrepreneurial Senior Software Engineers to join our lean, mean, innovative team of people on a mission to build the best AI-driven smart care management platform on the planet.
 
 
 
 Who You Are
 
 
 
 <ul>
 <li>
 Passionate about building products that make a difference
 </li>
 <li>
 Takes ownership and thrives in startups or small entrepreneurial teams
 </li>
 <li>
 Loves taking features through rapid prototypes, MVP, launch, iterate &amp; scale
 </li>
 <li>
 Self-directed quick learner and analytical problem solver
 </li>
 <li>
 Clear architectural thinker who writes clean code
 </li>
 <li>
 Makes it a habit to refactor and continuously improve codebases
 </li>
 <li>
 Perfects every detail, but limits the number of details
 </li>
 <li>
 High-signal communicator who asks good questions
 </li>
 <li>
 Good collaborator who creates alignment with team members
 </li>
 <li>
 Bonus: Interest in healthcare, messaging, or data-centric SaaS products
 </li>
 <li>
 Bonus: Understanding of data science, machine learning, AI, NLP &amp; LLMs
 </li>
 <li>
 Gets "it"
 
 
 </li>
 </ul>
 
 What Skills You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 Full lifecycle software engineering experience
 </li>
 <li>
 Clean high-quality production code
 </li>
 <li>
 Good UX / product design sense
 </li>
 <li>
 Javascript, HTML, CSS
 </li>
 <li>
 Vue.js / React / SPA (Single Page Apps)
 </li>
 <li>
 Ruby on Rails / Python / Elixir
 </li>
 <li>
 SQL / PostgreSQL / MySQL
 </li>
 <li>
 TDD / RSpec / Playwright
 </li>
 <li>
 AWS, GCP, Docker, Kubernetes
 </li>
 <li>
 Healthcare, SaaS, or startup experience
 </li>
 <li>
 Bonus: Data ingestion, HL7 / FHIR integration
 </li>
 <li>
 Bonus: AI / ML / NLP / LLMs
 
 
 </li>
 </ul>
 
 Our Compensation &amp; Benefits
 
 
 
 <ul>
 <li>
 Competitive compensation commensurate with experience
 </li>
 <li>
 Potential to earn equity based on performance
 </li>
 <li>
 We embrace a remote working environment
 </li>
 <li>
 Medical, Dental, and Vision coverage for employees and dependents at a nominal cost
 </li>
 <li>
 Vision coverage for employees and dependents at a nominal cost
 </li>
 <li>
 Paid Maternity Leave
 </li>
 <li>
 FSA and Dependent Care saving account options
 </li>
 <li>
 401(k)
 </li>
 <li>
 A collaborative work environment
 
 
 </li>
 </ul>
 If you take pride in delivering results, embrace challenges, and proactively seek improvement, then this is the place for you. You will be part of a smart, self-aware, humble team dedicated to improving healthcare.
 
 
 
 Jaan Health and Phamily provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
 
</div>

Senior Software Engineer (AI Health-Tech SaaS, Remote)

Affinity

<div></div><div><div>New York, NY; San Francisco, CA; USA (Remote)
</div><div>Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. Based on this data, we offer our users the insights and visibility they need to nurture and tap into the opportunities in their team's network.

This role is part of the AI Insights team, which owns the services that power Affinity's industry-leading relationship intelligence platform. We extract and retrieve information from billions of structured and unstructured data points to deliver actionable insights to customers. As a Senior Machine Learning Engineer, you will collaborate with data engineers, software engineers, and product managers to shape the future of private capital's leading CRM platform. You will design and build AI systems that efficiently uncover insights from compelling business interaction data &ndash; an exciting and unique opportunity within the industry.

This is an applied machine learning position with a strong emphasis on engineering, not research. You will play a key role in advancing our ML Engineering capabilities, particularly in recommendation systems and information retrieval.

What you&rsquo;ll be doing:
<ul>
<li>Own the full ML lifecycle: Take projects from ideation to production, including feature engineering, model selection, deployment, and model observability and evaluation.</li>
<li>Translate business needs into ML solutions: Gather product requirements and translate them into robust ML system design requirements.</li>
<li>Build sophisticated recommendation and ranking systems: Design and implement ranking and recommendation systems using techniques such as learn-to-rank (LTR) and collaborative filtering.</li>
<li>Solve complex problems: Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data.</li>
<li>Collaborate cross-functionally: Partner with cross-functional teams (product management, infrastructure, data engineering, and software engineering) to build robust, high-scale systems that underlie all of our data processing and ML Operations.</li>
</ul>
Qualifications

Don&rsquo;t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you&rsquo;re excited about this role, but your past experience doesn&rsquo;t perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Required:
<ul>
<li>5+ years of experience in software engineering and/or Machine Learning experience in applying machine learning in production.</li>
</ul>
Recommendation Systems &amp; Information Retrieval:
<ul>
<li>Hands-on experience developing recommendation and ranking systems at scale, using techniques such as:</li>
<ul><li>Learn-to-rank (LTR) algorithms, including RankNet, LambdaRank, or similar approaches</li>
<li>Collaborative filtering and content-based filtering</li>
<li>Reranking strategies and hybrid search implementations</li>
<li>Information retrieval and relevance scoring</li>
</ul><li>Solid understanding of machine learning techniques, including clustering and decision forests.</li>
</ul>
ML Engineering:
<ul>
<li>Experiences with serving ML models for streaming and batch inference at scale.</li>
<li>Experience with vector databases (milvus, weaviate) or graph database (Neo4j)</li>
<li>Proficiency in Python and modern ML frameworks (PyTorch, Scikit-learn, or similar)</li>
<li>Track record of building maintainable, testable, and production-grade codebases</li>
<li>Experience with observability tools for online and offline model evaluation, A/B testing, and tracing for AI applications</li>
</ul>
Nice to Have:
<ul>
<li>Experience with dataset engineering, including data curation, augmentation, and synthesis, to assist ML model improvement.</li>
<li>Develop AI applications powered by LLMs and agent-based systems</li>
<li>Familiar with modern LLM development frameworks:</li>
<ul><li>Feature development: LangChain, LlamaIndex, or similar orchestration frameworks</li>
<li>Evaluation &amp; monitoring: LangSmith, Weights &amp; Biases, TruLens, DeepEval, Azure AI, or equivalent tools</li>
</ul><li>Experience with text-to-SQL (text2sql) generation or similar natural language to structured query tasks</li>
<li>Experience with packaging, CI/CD and pipeline automation.</li>
</ul>
Tech stack: Our ML pipeline manages multiple Python services that support various AI features, including utilizing OCR to extract information from unstructured data, serving embedding models to vectorize chunks, and ranking a list of recommendations based on relevance and user preference.

How we work:

Our culture is a key part of how we operate, as well as our hiring process:
<ul>
<li>We iterate quickly. As such, you must be comfortable embracing ambiguity, be able to cut through it, and deliver value to our customers.</li>
<li>We are candid, transparent, and speak our minds while simultaneously caring personally with each person we interact with.</li>
<li>We make data-driven decisions and make the best decision for the moment based on the information available.</li></ul> 


What you'll enjoy at Affinity:
<ul>
<li>We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and &quot;taste the soup&quot; by diving deep into experiences to create the best outcomes for our colleagues and clients.</li>
<li>Health Benefits: We cover your medical, dental, and vision insurance premiums with comprehensive PPO, HDHP and HMO options (in CA), and offer flexible personal &amp; sick days to support your well-being.</li>
<li>Retirement Planning: We offer a 401(k) plan to help you plan for your future.</li>
<li>Learning &amp; Development: We provide an annual education budget and a comprehensive L&amp;D program.</li>
<li>Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness.</li>
<li>Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.</li>
</ul>
Please note that the role compensation details below reflect the base salary only and do not include any equity or benefits. This represents the salary range that Affinity believes, in good faith, at the time of this posting, that it will pay for the posted job.

A reasonable estimate of the current range is $106,200 to $210,000 USD. Within the range, individual pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant.
<div>About Affinity

With more than 3,000 customers worldwide and backed by some of Silicon Valley's best firms, Affinity has raised $120M to empower dealmakers to find, manage, and close more deals. How? Our Relationship Intelligence platform uses the wealth of data exhaust from trillions of interactions between Investment Bankers, Venture Capitalists, Consultants, and other strategic dealmakers to deliver automated relationship insights that drive over 450,000 deals every month. We are are proud to have received Inc. and Fortune Best Workplaces awards as well as to be Great Places to Work certified for the last 5 years running. Join us on our mission to make it possible for anyone to cultivate and fully harness their network to succeed.

We use E-Verify

Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify.</div></div></div>

Senior Machine Learning Engineer, AI Insights

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company&rsquo;s Think Big leadership principle to the next level. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you&rsquo;re interested in innovating at scale to address big challenges in the world, this is the team for you.
 
 
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon&rsquo;s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
 
 
Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best. 
 
Key job responsibilities 
<ul><li>Work closely with applied scientists, engineers and product managers to design, implement and launch AI solutions end-to-end</li><li>Write high-quality, maintainable code while following best practices and design patterns</li><li>Own end to end deployment at scale of ML models for large scale inference</li><li>Build and optimize automated data processing workflows
</li><li>Contribute to architecture decisions and technical strategy</li></ul></div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>2+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Machine Learning Engineer II, Special Projects

The Farmer's Dog

<div><h2 class="jobSectionHeader">Who We Are</h2>

The Farmer's Dog was born from a mission to change the landscape of pet health, providing dogs and their humans with honest, smart, and simple care. We're starting by radically improving the $90 billion pet food industry, replacing bags of highly-processed pellets with a personalized subscription service that sends complete and balanced, freshly-made dog food directly to customers' doors. Our ultimate goal is to create innovative, delightful and personalized experiences across all aspects of pet care, and we believe our direct-to-consumer business model, holistic approach to growth, and dynamic culture uniquely position us to shepherd this backwards industry into the future.

To date, The Farmer's Dog has delivered over 1 billion meals nationwide and raised over $150M in funding to help us build a company as healthy as the dogs who are eating those meals. Join us as we continue to develop ways of bringing peace of mind to customers, health to their companions,
<h2 class="jobSectionHeader">
What We Stand For and Where You'll Come In</h2>

At The Farmer's Dog, we believe the best customer experience comes from owning the technology that powers it. That's why we design, build, and operate our systems in-house, from subscription and e-commerce to fulfillment and delivery, so that every dog and human gets the right experience, every time.

Our engineers work on problems that matter and that are hard: evolving systems to support rapid growth, building platforms flexible enough to serve customers with many different needs, and creating product experiences that didn't exist before.

You'll join a group of talented engineers and managers who care deeply about building reliable, scalable systems and about working well together. Here, you'll have the space and agency to help scale the business, solve novel customer problems, and build strong relationships along the way.

If you want to make an outsized impact on technology, on customers, and on the lives of dogs everywhere this is the right place for you.

One Team: We don't think of ourselves as &quot;Acquisition Marketers&quot;, &quot;Engineers&quot;, &quot;Data Analysts&quot;, or &quot;Product Managers&quot;. Beyond denoting skill sets and areas of expertise, we don't think departments matter. We'd rather align ourselves to the goals we're working to achieve and make sure we have necessary subject matter expertise to drive meaningful impact. We strive to orient ourselves around customer problems TOGETHER &ndash; getting the right people, with the right context, in the right rooms/Zooms to solve problems holistically.

We are skeptical about everything and precious about nothing: Ideas can and should come from anywhere, and we aren't tied to our own. We proactively source input. We talk to our customers and leads regularly and are quick to change course if we know there's a better or more impactful way to solve problems.

We consider the customer journey in all of our decisions: We know that no interaction exists in a silo and therefore understand how important every single one is. We ensure our strategy sets prospective and new customers up for success and drives long-term retention. We answer questions and address problems early and proactively. We understand the value of different channels, initiatives, and messages and know how to articulate impact and advocate for prioritization holistically.

We Execute For Impact: We don't subscribe to &quot;best practices&quot; or &quot;industry KPIs&quot;. We're uninterested in how we compare to &quot;benchmarks&quot;; instead we orient ourselves around being the best we can possibly be. Similarly, we don't subscribe to rigid or classical expectations of roles &ndash; i.e. acquisition is hyper-focused on improving customer retention and experience.

We Are Focused and Work Without Assumption: We are not beholden to ideas. We have goals and believe everything beyond that is a series of hypotheses to validate. To that end, we seek to work in sequence and not in parallel. We constantly ask ourselves, &quot;what's the most important hypothesis I should be working on right now? How do I confirm or reject that hypothesis as fast as possible?&quot;. We rarely have timelines/deadlines and are constantly taking in new information and adjusting our priorities accordingly. We don't expect to be perfect the first time.
<h2 class="jobSectionHeader">
How You'll Make an Impact</h2>
<ul><li>Lead the end-to-end lifecycle of complex systems and features, from planning through maintenance, ensuring long-term sustainability</li>
<li>Improve team execution by refining processes, tools, and practices that raise the bar for everyone</li>
<li>Collaborate with product managers, engineers, designers, and business stakeholders to shape strategy and achieve our goals</li>
<li>Contribute to our engineering culture and mentor the team through knowledge sharing, feedback, and design and incident reviews</li>
<li>Work our stack (TypeScript, Node.js, React, OpenAPI, AWS), but embrace learning and applying new tools as needed</li>
</ul><h2 class="jobSectionHeader">We're Excited About You Because</h2>
<ul><li>You lead by example and take full ownership over the success of the product, software and &quot;pawd&quot; (our name for cross-functional teams)</li>
<li>You are curious and regularly seek out ways to improve both our system and how we work</li>
<li>You lead projects with impact beyond just your pawd's domain and you bring others along</li>
<li>You elevate others through mentorship, code reviews and clear feedback</li>
<li>You welcome diverse opinions and actively seek input to challenge your assumptions</li>
<li>You see the value in communicating key decisions, tradeoffs and practices through writing</li>
<li>You are committed to furthering the mission of The Farmer's Dog</li>
</ul><h2 class="jobSectionHeader">Office Guidelines</h2>

We are an in-office culture, made of in-office people who thrive on the collaboration and magnetism of working in a shared space. We are seeking individuals who excel in this type of environment, where being present fosters deeper connections and engagement.
<h2 class="jobSectionHeader">
Our Belonging Philosophy:</h2>

At TFD, we believe Belonging is a shared commitment to creating a workplace where every person feels respected, valued, and empowered to be themselves. When people feel a true sense of belonging, they do their best work, take smart risks, and bring forward diverse perspectives &mdash; leading to stronger decisions and deeper relationships. 
We anchor this belief in a simple phrase: &quot;Everyone's welcome at the dog park.&quot; No matter your background, identity, or role, there's space for you here. There's no one way to show up at the dog park&mdash; just shared space, mutual respect, and the freedom to be yourself. Being included is just the beginning, it's about contributing your voice, growing through challenges, and building trust through shared goals. This philosophy guides how we lead, how we hire, how we communicate, and how we grow. 
 
We continuously evaluate to ensure we are creating a consistent experience that cultivates belonging for all employees, from hiring and performance reviews to talent development. We also believe Belonging happens in everyday moments of connection; lunch with a new teammate, a shared laugh, or a quick story about your weekend. Our structure includes biannual employee surveys, manager training, TFD camps, and support from Humans to ensure we're listening and learning from our Team.

Together, these efforts reflect what Belonging means at TFD: a culture where everyone can thrive.
<h2 class="jobSectionHeader">
A Few of Our Best Benefits</h2>
<ul><li>Dog-friendly office in Greenwich Village</li>
<li>Market-competitive compensation and equity packages</li>
<li>Comprehensive Healthcare, Dental, and Vision</li>
<li>Company supported mental health benefits</li>
<li>12 week paid parental leave</li>
<li>Competitive 401k plan with company match</li>
<li>Flexible PTO</li>
<li>Discounted fresh food for your pup</li>
<li>Your pet interrupting video calls (and in-person meetings) is now a feature, not a bug</li>
</ul>
We commit to building a competitive compensation package and company environment for all individuals to thrive. We believe in competitive base compensation rooted in location specific market data and performance along with equity ownership in the company that allows every team member to build their personal wealth as the company grows, just as much as we believe in fostering a culture that supports our team members personally, professionally, and holistically. For this role the anticipated hiring base compensation range is $205,000.00 - $240,000.00 USD Annual and the compensation offered will include a robust market competitive package of base and equity. In addition to your base compensation offer you will also receive equity ownership in the company. More information about the value of this equity will be shared at the time of offer. This range is representative of NYC Market Data if you are applying to this role outside of the NYC area the range may change.
<h2 class="jobSectionHeader">
Equal Employment Opportunity Statement</h2>

The Farmer's Dog, Inc. is an equal employment opportunity employer and does not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religion, creed, national origin, physical or mental disability, protected veteran status or any other legally protected characteristic or status. For more information, please visit Know Your Rights.
<h2 class="jobSectionHeader">
Reasonable Accommodations</h2>

TFD complies with applicable federal, state, and local disability laws and makes reasonable accommodations for applicants and employees with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact humansops@thefarmersdog.com.
<h2 class="jobSectionHeader">
We're Here to Help</h2>

We're happy to answer any questions you may have about the position or our hiring process - please reach out at careers@thefarmersdog.com.</div>

Senior Software Engineer 2

Explore 443+ Senior lead software engineer in New York United States this November. Find roles across top companies and apply now to boost your career.