software engineer Jobs in New York United States

software engineer

agent software engineer - new grad (2026 start) Jobs in New York United States

agent software engineer - new grad (2026 start)

associate software engineer Jobs in New York United States

associate software engineer

full stack engineer Jobs in New York United States

full stack engineer

intern, software engineering Jobs in New York United States

intern, software engineering

new grad software engineer

PointOne

<div>
 <strong>
  About PointOne
  <br/>
  <br/>
 </strong>
 PointOne is reinventing how law firms operate.
 <br/>
 <br/>
 Our AI‑powered timekeeper helps attorneys capture billable time automatically and provides rich insights that transform how legal work is managed. We&rsquo;re a venture‑backed startup (Y Combinator, Bessemer, 8VC, General Catalyst) made up of software engineers (Jane Street, Google, Stanford, Princeton) and ex-attorneys. Following an excellent seed round and rapid customer adoption, we&rsquo;re adding two more software engineers before we raise our Series A.
 <br/>
 <br/>
 Who you are
 <br/>
 <br/>
 <strong>
  You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Significant internship experience at hyper-growth startups and/or leading big tech companies
  </li>
  <li>
   A CS degree from a top university
  </li>
  <li>
   Strong product sense
  </li>
  <li>
   High degree of ownership and the ability to operate autonomously
   <br/>
   <br/>
  </li>
 </ul>
 You're excited to work in-person, talk to customers, and build products that professionals rely on every day.
 <br/>
 <br/>
 Why you should join
 <br/>
 <br/>
 <strong>
  Growth:
 </strong>
 Work with founders and customers in person to define and build new features. You&rsquo;ll gain exposure to AI, serverless architecture, and the business of law while owning high‑impact projects.
 <br/>
 <br/>
 <strong>
  Impact:
 </strong>
 A lot of AI tools have trouble showing real impact. We&rsquo;re some of the stickiest tools in a law firm&mdash;and we deliver hard ROI to our customers. We&rsquo;re also a multi-product company, meaning that you would be expected to drive technical and product decisions.
 <br/>
 <br/>
 <strong>
  Support:
 </strong>
 We&rsquo;re committed to building a supportive culture. Our rapidly growing and collaborative team values openness, high feedback, and continuous learning.
 <br/>
 <br/>
 What you&rsquo;ll do
 <br/>
 <br/>
 <ul>
  <li>
   Develop novel AI products, providing customers with entirely new workflows.
  </li>
  <li>
   Work directly with customers (you&rsquo;ll be visiting their offices with us) to understand needs, prioritize requests, and translate them into technical solutions.
  </li>
  <li>
   Prototype and integrate AI pipelines (e.g., retrieval‑augmented generation) to prove out new workflows.
  </li>
  <li>
   Lead by example through mentoring future hires, pairing, and code reviews. You'll shape our engineering culture.
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  We are currently only considering candidates that will have graduated by January 2026.
 </em>
</div>


New Grad Software Engineer

Oleve

<div>
 <p>
  <strong>
   🫒 Company Description
  </strong>
 </p>
 <p>
  <span>
   Oleve is building a family of iconic consumer software products that enable everyone to live a&nbsp;
  </span>
 </p>
 <p>
  <span>
   better, more fulfilling, and more productive life. We&rsquo;re a small, focused team in NYC who&rsquo;ve cracked the code on building and scaling products people actually want. With multiple products already serving millions of users and more on the way, we&rsquo;re gearing up to launch several new apps.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  🚀&nbsp;
  <strong>
   What You&rsquo;ll Do
  </strong>
 </p>
 <ul>
  <li>
   Ideate, script, and film short-form videos for
   <strong>
    paid ads
   </strong>
   on TikTok and Instagram
  </li>
  <li>
   Speak confidently and naturally on camera to deliver convincing, scroll-stopping content
  </li>
  <li>
   Create hooks and narratives that drive attention, trust, and conversions
  </li>
  <li>
   Research top-performing paid ads and current trends for inspiration
  </li>
  <li>
   Collaborate with marketing to test and refine winning concepts
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  💪&nbsp;
  <strong>
   What You Bring
  </strong>
 </p>
 <ul>
  <li>
   <span>
    You&rsquo;re a college student or recent grad who lives and breathes social media
   </span>
  </li>
  <li>
   <span>
    You&rsquo;re confident on camera and comfortable filming in a casual, authentic style
   </span>
  </li>
  <li>
   <span>
    You understand TikTok trends, pacing, and what keeps viewers watching
   </span>
  </li>
  <li>
   <span>
    You&rsquo;ve made UGC or branded videos before (preferred but not required)
   </span>
  </li>
  <li>
   <span>
    You have access to a phone with solid video and audio quality
   </span>
  </li>
  <li>
   <span>
    You&rsquo;re creative, dependable, and eager to experiment with new formats
   </span>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  🤝
  <strong>
   Details
  </strong>
 </p>
 <p>
  - Part-time role, with transition to full-time
 </p>
 <p>
  - Location: Remote
 </p>
 <p>
  <br/>
 </p>
 <p>
  👋
  <strong>
   Ready to apply?
  </strong>
 </p>
 <p>
  <span>
   To apply for this role, please put in your application in this [Google Form]
  </span>
 </p>
 <p>
  <span>
   (
  </span>
  https://forms.gle/9nmQyTPrhnJHC7CN8
  <span>
   ) and we will get back to you. We look forward to hearing from you!
  </span>
 </p>
</div>


Content Creator

Snap Inc.

<div><div><div>Snap Inc</div> is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company&rsquo;s three core products are <div>Snapchat</div>, a visual messaging app that enhances your relationships with friends, family, and the world; <div>Lens Studio</div>, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, <div>Spectacles</div>.</div><div></div><div><div>
Snap Inc</div> is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company&rsquo;s three core products are<div> Snapchat</div>, a visual messaging app that enhances your relationships with friends, family, and the world;<div> Lens Studio</div>, an augmented reality platform that powers AR across Snapchat and other services; and it's AR glasses,<div> Spectacles</div>.</div><div></div><div><div>
Snap Engineering</div> teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We&rsquo;re deeply committed to the well-being of everyone in our global community, which is why<div> our values</div> are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.</div><div></div><div>
We&rsquo;re looking for a Machine Learning Engineer to join Snap Inc!</div><div></div><div>
What you&rsquo;ll do:</div><ul><li><div>
Create models which help drive value for users, advertisers, and our company</div></li><li><div>
Evaluate the technical tradeoffs of every decision</div></li><li><div>
Perform code reviews and ensure exceptional code quality</div></li><li><div>
Build robust, lasting, and scalable products Iterate quickly without compromising quality</div></li></ul><div></div><div>
Knowledge, Skills &amp; Abilities:</div><ul><li><div>
Strong understanding of machine learning approaches and algorithms</div></li><li><div>
Able to prioritize duties and work well on your own</div></li><li><div>
Ability to work with both internal and external partners</div></li><li><div>
Skilled at solving open ambiguous problems</div></li><li><div>
Strong collaboration and mentorship skills</div></li></ul><div></div><div>
Minimum Qualifications:</div><ul><li><div>
Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience</div></li><li><div>
5+ years of post-Bachelor&rsquo;s machine learning experience; or Master&rsquo;s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience</div></li></ul><ul><li><div>
Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning</div></li></ul><div></div><div>
Preferred Qualifications:</div><ul><li><div>
Advanced degree in computer science or related field</div></li><li><div>
Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks</div></li><li><div>
Experience working with machine learning, ranking infrastructures, and system design</div></li></ul><div></div><div>
If you have a disability or special need that requires accommodation, please don&rsquo;t be shy and provide us some <div>information</div>.</div><div></div><div>
&quot;Default Together&quot; Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a &ldquo;default together&rdquo; approach and expect our team members to work in an office 4+ days per week.</div><div></div><div>
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.</div><div></div><div>
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).</div><div></div><div><div>
Our Benefits</div>: Snap Inc. is its own community, so we&rsquo;ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap&rsquo;s long-term success!</div><div></div><div>
Compensation</div><div>
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate&rsquo;s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.</div><div></div><div><div>
Zone A (CA, WA, NYC)</div>:</div>
The base salary range for this position is $209,000-$313,000 annually.<div></div><div><div><br>
Zone B</div>:</div>
The base salary range for this position is $199,000-$297,000 annually.<div></div><div><div>
Zone C</div>:</div>
The base salary range for this position is $178,000-$266,000 annually.<div></div><div>
This position is eligible for equity in the form of RSUs.</div></div><div></div>

Machine Learning Engineer

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>11/10/2025</p>
</div><div><p>Description</p>
<div>Senior Software Engineer, Full Stack<p>
Capital One's Digital Commerce &amp; Innovation organization is seeking a <b>Senior Software Engineer</b> with a passion for building and growing full stack applications to join its AirKey Experience Team.<br>
</p><p><br>
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.</p><p><b>
What You&rsquo;ll Do:</b></p><ul><li>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies; <b>(Golang/React)
</b></li><li>Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, mentoring other members of the engineering community</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 3 years of experience in software engineering (Internship experience does not apply)</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
5+ years of experience in at least one of the following: Go, JavaScript, Java, TypeScript, SQL, Python</li><li>
1+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service</li><li>
3+ years of experience in open source frameworks</li><li>
2+ years of experience in Agile practices</li></ul><p><b><i>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).</i></b></p><p>
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.</p>
New York, NY: $173,000 - $197,400 for Senior Software Engineer<p></p><p><br>
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.</p>
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.<p>
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.</p>
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.<p>
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.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
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.</p><p>
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).</p>
Senior Software Engineer, Full Stack<p>
Capital One's Digital Commerce &amp; Innovation organization is seeking a <b>Senior Software Engineer</b> with a passion for building and growing full stack applications to join its AirKey Experience Team.<br>
</p><p><br>
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.</p><p><b>
What You&rsquo;ll Do:</b></p><ul><li>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies; <b>(Golang/React)
</b></li><li>Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, mentoring other members of the engineering community</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 3 years of experience in software engineering (Internship experience does not apply)</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
5+ years of experience in at least one of the following: Go, JavaScript, Java, TypeScript, SQL, Python</li><li>
1+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service</li><li>
3+ years of experience in open source frameworks</li><li>
2+ years of experience in Agile practices</li></ul><p><b><i>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).</i></b></p><p>
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.</p>
New York, NY: $173,000 - $197,400 for Senior Software Engineer<p></p><p><br>
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.</p>
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.<p>
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.</p>
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.<p>
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.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
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.</p><p>
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).</p></div>
</div><div><p>Salary</p><p>
173,000.00 - 197,400.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Senior Software Engineer, Full Stack

<div><div><p>Posted Date</p>
<p>11/07/2025</p>
</div><div><p>Description</p>
<div>Senior Lead AI Engineer<p><b>
Overview:</b><br>
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.</p><p><b>
Team Description:</b></p><p>
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.</p><p><b><br>
In this role, you will:</b></p><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><p><b>
The Ideal Candidate:</b></p><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><p><b>
Basic Qualifications:</b></p><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><p><b>
Preferred Qualifications:</b></p><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><p><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></p><p>
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.</p>
McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer<br>
<p></p>
New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer<br>
<p></p>
San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer<br>
<p></p>
San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer<p></p><p><br>
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.</p>
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.<p>
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.</p>
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.<p>
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.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
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.</p><p>
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).</p>
Senior Lead AI Engineer<p><b>
Overview:</b><br>
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.</p><p><b>
Team Description:</b></p><p>
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.</p><p><b><br>
In this role, you will:</b></p><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><p><b>
The Ideal Candidate:</b></p><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><p><b>
Basic Qualifications:</b></p><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><p><b>
Preferred Qualifications:</b></p><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><p><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></p><p>
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.</p>
McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer<br>
<p></p>
New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer<br>
<p></p>
San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer<br>
<p></p>
San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer<p></p><p><br>
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.</p>
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.<p>
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.</p>
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.<p>
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.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
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.</p><p>
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).</p></div>
</div><div><p>Salary</p><p>
225,400.00 - 257,200.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Senior Lead AI Engineer

Dataing

<p><b>Job Summary</b><br/>We are seeking a talented and motivated Software Engineer to join our dynamic team. The ideal candidate will have a strong background in software development and a passion for creating innovative solutions. You will be responsible for designing, developing, and maintaining software applications that meet the needs of our clients. This role requires proficiency in various programming languages and frameworks, as well as experience with IT infrastructure and cloud services.</p><p><b>Responsibilities</b></p><ul><li>Design, develop, and implement software applications using Ruby on Rails, Java, Python, C#, and other programming languages.</li><li>Collaborate with cross-functional teams to define, design, and ship new features in an Agile environment.</li><li>Develop RESTful APIs and integrate with third-party services to enhance application functionality.</li><li>Maintain and improve existing applications by troubleshooting issues and optimizing performance.</li><li>Utilize version control systems such as GitHub and SVN for code management.</li><li>Conduct code reviews to ensure high-quality standards are met.</li><li>Participate in the full software development lifecycle from concept through deployment.</li><li>Work with databases such as MySQL and SQL to manage data effectively.</li><li>Engage in front-end development using JavaScript frameworks like React Express to create user-friendly interfaces.</li><li>Implement security measures including Role-Based Access Control (RBAC) within applications.</li></ul><p><b>Requirements</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science or a related field or equivalent practical experience.</li><li>Proficiency in multiple programming languages including Ruby on Rails, Java, Python, C++, C#, and .NET.</li><li>Strong understanding of web development principles and technologies including RESTful APIs, Agile methodologies, and application development practices.</li><li>Experience with cloud platforms such as AWS or Azure is highly desirable.</li><li>Familiarity with IT infrastructure concepts and Linux operating systems.</li><li>Knowledge of database management systems including MySQL and SQL.</li><li>Ability to work collaboratively within a team environment while also being self-motivated.</li><li>Excellent problem-solving skills and attention to detail. Join us in shaping the future of technology through innovative software solutions!</li></ul><p>Job Type: Full-time</p><p>Pay: $108,203.35 - $130,309.41 per year</p><p>Work Location: Remote</p>

Software Engineer

Millennium Management

<div>AI Platform Engineer<p></p><p>
We&rsquo;re seeking an AI Platform Engineer to contribute to the development and management of cutting-edge AI infrastructure for our complex enterprise environment. In this role, you&rsquo;ll harness your expertise to build infrastructure which enables your team and the firm to manage autonomous agents, machine learning systems and other applications in the AI domain.</p><p></p><p>
You&rsquo;ll design and manage federated AI ecosystems, including MCP servers, agents and enterprise AI tooling, while orchestrating agent deployment across distributed systems and service buses. This role requires technical depth, strong communication, and a passion for building transformative AI infrastructure.</p><p></p><p>
If you&rsquo;re ready to shape the future of AI and thrive in a fast-paced, innovative environment, we want to hear from you!</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li><p>
Design and implement AI infrastructure to support federated agent development and distributed deployment across the organization.</p></li><li><p>
Manage and orchestrate AI agents to generate architecturally sound code, ensuring adherence to enterprise standards and best practices.</p></li><li><p>
Build and maintain MCP (Model Context Protocol) servers and related infrastructure for agent communication, coordination, and enterprise service bus integration.</p></li><li><p>
Accelerate code review processes by leveraging AI agents for automated analysis, quality checks, and architectural validation.</p></li><li><p>
Establish robust monitoring, governance, and security frameworks for AI agent operations in enterprise environments.</p></li><li><p>
Implement and manage secure authentication and authorization systems for MCP servers, including OAuth flows and API security.</p></li><li><p>
Collaborate with development teams to integrate AI-powered tools into existing workflows and CI/CD pipelines.</p></li><li><p>
Act as a deployed engineer, traveling to different teams across the firm to teach AI infrastructure best practices and guide adoption.</p></li><li><p>
Provide technical leadership in transitioning traditional development practices to AI-augmented approaches.</p></li></ul><p></p><p><b>
Qualifications:</b></p><ul><li><p><b>
Experience</b>: 8+ years of professional software development experience with a demonstrated ability to architect and build scalable systems.</p></li><li><p><b>
AI Infrastructure</b>: Experience with AI/ML infrastructure, agent orchestration, or similar AI-powered development tools.</p></li><li><p><b>
Programming Skills</b>: Proficiency in Python, TypeScript/JavaScript, and experience with AI/ML frameworks and libraries.</p></li><li><p><b>
Enterprise Architecture</b>: Strong understanding of enterprise software architecture patterns and distributed systems design.</p></li><li><p><b>
Cloud Platforms</b>: Experience with cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools.</p></li><li><p><b>
Containerization</b>: Experience with Docker, Kubernetes, and container orchestration in production environments.</p></li><li><p><b>
API Design</b>: Experience building and managing APIs, microservices, and event-driven architectures.</p></li><li><p><b>
Security</b>: Strong understanding of information security principles, OAuth 2.0/OpenID Connect flows, API security, and secure system design.</p></li><li><p><b>
Communication</b>: Strong communication and teaching skills with the ability to work as a deployed engineer across different teams.</p></li><li><p><b>
Education</b>: Bachelor's or Master's degree in Computer Science, Engineering, or related technical field.</p></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li><p>
Experience with AI agent frameworks, LLM integration, or Model Context Protocol (MCP) implementations.</p></li><li><p>
Background in building federated systems or multi-tenant AI platforms.</p></li><li><p>
Experience with AI governance, security, and compliance in enterprise environments.</p></li><li><p>
Background in information security, penetration testing, or security architecture roles.</p></li><li><p>
Familiarity with code generation tools, automated testing frameworks, and AI-powered development workflows.</p></li><li><p>
Knowledge of vector databases, embedding systems, and retrieval-augmented generation (RAG) architectures.</p></li><li><p>
Experience in DevOps/Platform Engineering roles with focus on developer tooling and productivity.</p></li><li><p>
Previous experience managing transitions from traditional to AI-augmented development practices.</p></li></ul><p></p><p>
The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual&rsquo;s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.</p></div>

AI Platform Engineer

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