ml 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

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

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

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon&rsquo;s global talent is incredibly complex with unique problems to be solved for each line of business. Global Talent Management (GTM) is centrally responsible for managing and evolving Amazon&rsquo;s human capital through intelligent talent products and processes. GTM Science is a growing interdisciplinary science team within GTM that develops science products and services to facilitate Amazon&rsquo;s growth and development of talent across all of our businesses and locations around the world.
<br>
<br>
Our vision in GTM Science is to use machine learning and science to scalably solve organizational challenges focused on talent movement, talent differentiation, employee-role matching, promotion processes, organizational design and succession planning, diversity and inclusion, and new areas that address the evolving needs of our diverse employee base.
<br>
<br>
We are looking for an experienced machine learning scientist to work on talent science products that draw from a range of fields such as algorithmic fairness, natural language processing, supervised and unsupervised learning, recommendation systems, machine learning on graphs, reinforcement learning and others on rich and novel datasets. The role has high visibility to senior Amazon business leaders and involves working with other scientists, and partnering with engineering and product teams to integrate these models into production systems.
<br>
<br>
As an applied scientist in GTM Science, you will have the opportunity to work on exciting problems in one of the most innovative applications of science in the People Experience and Technology space. You will help to solve high impact business problems in an unconventional domain, and be encouraged to patent and publish your contributions. If this kind of work excites you, reach out to us to find out more!
<br>
<br>
Key Responsibilities
<br>
<ul><li>Design and implement models, science-based product ideas and features, project plans and communicate with stakeholders.
</li><li>Develop fair predictive models to understand important business and people-centered outcomes
</li><li>Productionize ML and science models at the scale of Amazon
</li></ul></div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</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 $150,400/year in our lowest geographic market up to $260,000/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>

Sr. Applied Scientist , AMX Science

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

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

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