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machine learning engineer

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

Affinity

<div></div><div><div><p><b>New York, NY; San Francisco, CA; USA (Remote)
</b></p></div><div><p>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.</p>
<p>
This role is part of the <b>AI Insights</b> 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 <b>Senior Machine Learning Engineer</b>, 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.</p>
<p><b>
This is an applied machine learning position with a strong emphasis on engineering, not research.</b> You will play a key role in advancing our ML Engineering capabilities, particularly in recommendation systems and information retrieval.</p>
<p><b>
What you&rsquo;ll be doing:</b></p>
<ul>
<li><b>Own the full ML lifecycle</b>: Take projects from ideation to production, including feature engineering, model selection, deployment, and model observability and evaluation.</li>
<li><b>Translate business needs into ML solutions</b>: Gather product requirements and translate them into robust ML system design requirements.</li>
<li><b>Build sophisticated recommendation and ranking systems</b>: Design and implement ranking and recommendation systems using techniques such as learn-to-rank (LTR) and collaborative filtering.</li>
<li><b>Solve complex problems</b>: Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data.</li>
<li><b>Collaborate cross-functionally</b>: 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>
<p><b>Qualifications</b></p>
<p>
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.</p>
<p><b>
Required:</b></p>
<ul>
<li>5+ years of experience in software engineering and/or Machine Learning experience in applying machine learning in production.</li>
</ul>
<p><b>Recommendation Systems &amp; Information Retrieval:</b></p>
<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>
<p><b>ML Engineering:</b></p>
<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>
<p><b>Nice to Have:</b></p>
<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><b>Feature development:</b> LangChain, LlamaIndex, or similar orchestration frameworks</li>
<li><b>Evaluation &amp; monitoring: </b>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>
<p><b>Tech stack</b>: 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.</p>
<p><b>
How we work:</b></p>
<p>
Our culture is a key part of how we operate, as well as our hiring process:</p>
<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><br>
<p></p>
<p><b>
What you'll enjoy at Affinity:</b></p>
<ul>
<li><b>We live our values:</b> 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><b>Health Benefits:</b> 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><b>Retirement Planning:</b> We offer a 401(k) plan to help you plan for your future.</li>
<li><b>Learning &amp; Development:</b> We provide an annual education budget and a comprehensive L&amp;D program.</li>
<li><b>Wellness Support:</b> We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness.</li>
<li><b>Team Connection:</b> Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.</li>
</ul>
<p>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.</p>
<p>
A reasonable estimate of the current range is <b>$106,200 to $210,000 USD</b>. Within the range, individual pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant.</p>
<div><p><b>About Affinity</b></p>
<p>
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.</p>
<p><b>
We use E-Verify</b></p>
<p>
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.</p></div></div></div>

Senior Machine Learning Engineer, AI Insights

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></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.
<br>
<br>
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.
<br>
<br>
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.<br>
<br>
Key job responsibilities<br>
<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"><b><br>
BASIC QUALIFICATIONS</b></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"><b>
PREFERRED QUALIFICATIONS</b></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><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
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

Software Engineer, Machine Learning

Information Technology Senior Management Forum

<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

<div>Job Description:
<div><p>
AXA XL recognizes digital, data and information assets are critical for the business, both in terms of managing risk and enabling new business opportunities. Data Science and AI assets should not only be high quality but also drive a sustained competitive advantage and deliver a superior experience to our internal, external customers and improve efficiency. Our Innovation, Data &amp; Analytics function is focused on driving innovation by optimizing how we leverage digital, data and AI to drive strategy and differentiate ourselves from the competition.</p><p>
As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and strengthen our digital and AI capabilities, we are looking for an Associate AI Engineer. In this role, you will contribute to developing our AI technical capabilities, projects and products that seek to yield a significant business benefit and advantage in the market through execution on innovation.</p></div><div></div><h2 class="jobSectionHeader"><b><br>
What</b><b> </b><b>you&rsquo;ll be doing</b></h2><p>
What will your essential responsibilities include?</p><ul><li>
Contribute into a team effort of building scalable AI capabilities to drive the solutions which will enable functions across the insurance value chain such as underwriting, pricing, claims, distribution, operations etc.</li><li>
Exercise and develop robust data science, GenAI and software development skills and support solution delivery by following the lead of senior technical members.</li><li>
Ensure high-quality software delivery by following code review process and standard.</li><li>
Be able to clearly communicate the expectations of development effort and help set up the project timeline by collaborating with project managers, senior data scientists and software developers</li></ul><div>
In this role, you will report to the Division Lead, Data Science and AI Excellence.</div><div></div><h2 class="jobSectionHeader"><b><br>
What</b><b> </b><b>you&rsquo;ll bring</b></h2><p>
We&rsquo;re looking for someone who has these abilities and skills:</p><p><b>
Required Skills and Abilities:</b></p><ul><li>
Hands-on knowledge and experience in the life cycle of AI technical capability development, from ideation and data exploration to model training, selection, deployment, and monitoring.</li><li>
Requires a combination of solid execution, strategic thinking and ability to &lsquo;connect the dots&rsquo;</li><li>
A minimum of a bachelor&rsquo;s or master&rsquo;s degree in a relevant discipline</li><li>
Supporting multiple specialty areas of Digital, Data and Analytics experience is preferred</li><li>
Passion for digital, data and AI and experience working within a digital and data driven Organization</li></ul><h2 class="jobSectionHeader"><b>
Who</b><b> </b><b>we</b><b> </b><b>are</b></h2><p>
AXA XL, the P&amp;C and specialty risk division of AXA, is known for solving complex risks. For mid-sized companies, multinationals and even some inspirational individuals we don&rsquo;t just provide re/insurance, we reinvent it.</p><p>
How? By combining a comprehensive and efficient capital platform, data-driven insights, leading technology, and the best talent in an agile and inclusive workspace, empowered to deliver top client service across all our lines of business property, casualty, professional, financial lines and specialty.</p><p>
With an innovative and flexible approach to risk solutions, we partner with those who move the world forward.</p><p>
Learn more at axaxl.com</p><h2 class="jobSectionHeader"><b>
What</b><b> </b><b>we</b><b> </b><b>offer
</b></h2><p><b>Inclusion</b></p><p>
AXA XL is committed to equal employment opportunity and will consider applicants regardless of gender, sexual orientation, age, ethnicity and origins, marital status, religion, disability, or any other protected characteristic. At AXA XL, we know that an inclusive culture and enables business growth and is critical to our success. That&rsquo;s why we have made a strategic commitment to attract, develop, advance and retain the most inclusive workforce possible, and create a culture where everyone can bring their full selves to work and reach their highest potential. <i>It&rsquo;s about helping one another &mdash; and our business &mdash; to move forward and succeed.</i></p><ul><li>
Five Business Resource Groups focused on gender, LGBTQ+, ethnicity and origins, disability and inclusion with 20 Chapters around the globe.</li><li>
Robust support for Flexible Working Arrangements</li><li>
Enhanced family-friendly leave benefits</li><li>
Named to the Diversity Best Practices Index</li><li>
Signatory to the UK Women in Finance Charter</li></ul><p></p><p><br>
Learn more at Inclusion &amp; Diversity at AXA XL | AXA XL. AXA XL is an Equal Opportunity Employer.</p><p><b>
Total Rewards</b></p><p>
AXA XL&rsquo;s Reward program is designed to take care of what matters most to you, covering the full picture of your health, wellbeing, lifestyle and financial security. It provides competitive compensation and personalized, inclusive benefits that evolve as you do.</p><p>
We&rsquo;re committed to rewarding your contribution for the long term, so you can be your best self today and look forward to the future with confidence.</p><p><b>
Sustainability</b></p><p>
At AXA XL, Sustainability is integral to our business strategy. In an ever-changing world, AXA XL protects what matters most for our clients and communities. We know that sustainability is at the root of a more resilient future. Our 2023-26 Sustainability strategy, called &ldquo;Roots of resilience&rdquo;, focuses on protecting natural ecosystems, addressing climate change, and embedding sustainable practices across our operations.</p><p>
Our Pillars:</p><ul><li><b>
Valuing nature: </b>How we impact nature affects how nature impacts us. Resilient ecosystems - the foundation of a sustainable planet and society &ndash; are essential to our future. We&rsquo;re committed to protecting and restoring nature &ndash; from mangrove forests to the bees in our backyard &ndash; by increasing biodiversity awareness and inspiring clients and colleagues to put nature at the heart of their plans.</li><li><b>
Addressing climate change: </b>The effects of a changing climate are far-reaching and significant. Unpredictable weather, increasing temperatures, and rising sea levels cause both social inequalities and environmental disruption. We're building a net zero strategy, developing insurance products and services, and mobilizing to advance thought leadership and investment in societal-led solutions.</li><li><b>
Integrating ESG: </b>All companies have a role to play in building a more resilient future. Incorporating ESG considerations into our internal processes and practices builds resilience from the roots of our business. We&rsquo;re training our colleagues, engaging our external partners, and evolving our sustainability governance and reporting.</li><li><b>
AXA Hearts in Action</b>: We have established volunteering and charitable giving programs to help colleagues support causes that matter most to them, known as AXA XL&rsquo;s &ldquo;Hearts in Action&rdquo; programs. These include our Matching Gifts program, Volunteering Leave, and our annual volunteering day &ndash; the Global Day of Giving.</li></ul><div></div><p><br>
For more information, please see Sustainability at AXA XL.</p><p>
The U.S. base salary range for this position is USD 66,000 &ndash; 105,100.</p><p>
Actual pay will be determined based upon the individual&rsquo;s skills, experience and location. We strive for market alignment and internal equity with our colleagues&rsquo; pay.</p><p>
At AXA XL, we know how important physical, mental, and financial health are to our employees, which is why we are proud to offer benefits such as a competitive retirement savings plan, health and wellness programs, and many other benefits. We also believe in fostering our colleagues' development and offer a wide range of learning opportunities for colleagues to hone their professional skills and to position themselves for the next step of their careers. For more details about AXA XL&rsquo;s benefits offerings, please visit US Benefits at a Glance 2025.</p></div>

Associate AI Engineer

OpenAI

<div>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 We bring OpenAI's technology to the world through products like ChatGPT and the OpenAI API.
 <br/>
 <br/>
 We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are looking for a self-starter engineer who loves building new products in an iterative and fast-moving environment. In this role, you will be bringing our large language models to millions of users around the world. Our users include everyday enthusiasts as well as professionals for ChatGPT, and everyone from hobbyists to large enterprises for the OpenAI API &mdash; you&rsquo;ll interface directly with users to develop the features they want most! You will also collaborate closely with the research teams that created the core models and work with them on continual improvement. You will be a key part of the effort to push these technologies forward, and onto the next 100x users.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own the development of new customer-facing ChatGPT and OpenAI API features and product experiences end-to-end
  </li>
  <li>
   Talk to users to understand their problems and design solutions to address them
  </li>
  <li>
   Work with the research team to get relevant feedback and iterate on their latest models
  </li>
  <li>
   Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations folks to create cutting-edge products
  </li>
  <li>
   Optimize applications for speed and scale
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Background Looks Something Like
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of relevant engineering experience at tech and product-driven companies
  </li>
  <li>
   Proficiency with JavaScript, React, and other web technologies
  </li>
  <li>
   Proficiency with some backend language (we use Python)
  </li>
  <li>
   Some experience with relational databases like Postgres/MySQL
  </li>
  <li>
   Interest in AI/ML (direct experience not required)
  </li>
  <li>
   Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About OpenAI
  <br/>
  <br/>
 </strong>
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 <br/>
 <br/>
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 <br/>
 <br/>
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 <br/>
 <br/>
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 <br/>
 <br/>
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 <br/>
 <br/>
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 <br/>
 <br/>
 OpenAI Global Applicant Privacy Policy
 <br/>
 <br/>
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 <br/>
 <br/>
 Compensation Range: $255K - $405K
</div>


Software Engineer, Full-Stack

Explore 210+ Machine learning engineer in New York United States this November. Find roles across top companies and apply now to boost your career.