consultant - artificial intelligence developer

software engineer

senior data engineer

senior lead machine learning engineer Jobs in New York

senior lead machine learning engineer

ai engineer

consultant - artificial intelligence developer Jobs in New York

senior lead developer

BlackRock

<div><div><div><div><div>Locations: New York, New York</div></div></div></div></div>
 <div><h2 class="jobSectionHeader">Job description</h2>
<div>About this role
Aladdin is BlackRock&rsquo;s unified technology and data platform used by BlackRock and many of the world&rsquo;s largest Asset Managers and Investors. The Aladdin Platform Engineering organization is the Engineering Pillar within Aladdin responsible for building and operating the technology platform that powers Aladdin and includes the Developer Platform, the Core Platform and the Control Platform. Within Aladdin Platform Engineering, we are looking to bring on a senior technology leader to be the Head of AI Developer Platform.
Responsibilities
1. Own AI Native SDLC &amp; Engineering Productivity<ul><li>
Define and operationalize an AIfirst, agent driven SDLC embedded into the Developer Platform, spanning design, build, test, release, and operate phases, including:<ul><li>
Agent assisted design, code generation, refactoring, and documentation</li><li>
Agent driven test generation, coverage analysis, defect intelligence, and built-in quality and resilience signals</li><li>
Intelligent release validation, change risk assessment, and deployment readiness</li><li>
Continuous functional, integration, regression, performance, and resilience testing orchestrated as first-class SDLC stages rather than post hoc controls</li><li>
Continuous learning loops that improve software, delivery workflows, and AI agents over time</li></ul></li><li>
AI Vendor, Tooling &amp; Platform Integration<ul><li>
Drive evaluation, selection, and governance of AI developer tools and vendors integrated into the AI Developer Platform, ensuring capabilities are secure, production grade, and aligned to Aladdin&rsquo;s architecture, risk posture, and engineering standards.</li><li>
Ensure AI tools are platform integrated rather than point solutions, delivered through standardized onboarding, quality gates, observability, lifecycle management, and Responsible AI controls in partnership with Risk, Security, Legal, and Architecture.</li></ul></li><li>
Lead adoption of PDLC agents delivered through the Developer Platform, aligned to core engineering personas and architecture/design principles:<ul><li>
Developers:</li><li>
Testers / QE:</li><li>
Operators / SREs:</li><li>
Ensure quality, resilience, and risk prevention are embedded as default behaviors within PDLC agents, rather than treated as separate processes or late-stage controls.</li></ul></li></ul>
2. Own the evolution of continuous validation capabilities across the SDLC, including:<ul><li>
Performance, load, spike, and concurrency testing integrated into CI/CD pipelines</li><li>
Chaos engineering and fault injection experiments executed in preproduction environments</li><li>
Game Day testing and operational readiness simulations to validate incident response, observability, and recovery paths</li><li>
Establish clear skill expectations and enablement paths for developers, testers, and operators working in an AI augmented delivery model,</li></ul>
3. AI Developer Platform Context Engineering &amp; Enablement<ul><li>
Own the workforce enablement and distribution layer for the Developer Platform (through IDEs), ensuring AI capabilities and PDLC agents are delivered as secure, reusable, composable platform services within Engineering Services rather than fragmented tools.</li><li>
Lead context engineering and context graph strategy for the Developer Platform, including:<ul><li>
Defining and evolving enterprise context graphs
</li><li>Ensuring AI agents and PDLC agents have governed access to the right context at the right time, with controlled blast radius</li></ul></li><li>
Driving reuse of context primitives across SDLC, agent-based validation, and operational workflows</li></ul>
4. Own platform level capabilities for test data and environment management, including:<ul><li>
Production aligned preproduction environments that enable reliable end-to-end validation</li><li>
Repeatable, governed test data strategies (refresh, reset/replay, synthetic data) that support functional, performance, and resilience testing</li><li>
Pre-Prod Environment stability, drift detection, and telemetry-based health signals as inputs to release decisions</li></ul><ul><li>
Be a Champion and Lead governance for context ownership, freshness, versioning, and reuse to prevent drift and repeated failures at scale.</li></ul>
5. Engineering Excellence, Culture &amp; Leadership<ul><li>
Build and lead a high-performance, globally distributed AI Developer Platform organization within Engineering Services.</li><li>
Evangelize AI native, agent driven delivery practices across Aladdin while balancing innovation, operational stability, and risk discipline.</li></ul>
7. Governance, Risk &amp; Responsible AI<ul><li>
Own policy, governance, and control frameworks for AI usage and PDLC agents within the Developer Platform, ensuring alignment with firmwide risk, compliance, and Responsible AI standards.</li><li>
Own and mitigate technology and AI related risks for the Developer Platform, representing Engineering Services in risk and control governance forums.</li></ul>
8. Collaboration &amp; Enterprise Impact<ul><li>
Work closely with business leaders, product managers, domain architects, and delivery teams to translate business requirements into scalable, secure AI Developer Platform and PDLC agent capabilities.</li><li>
Collaborate with Platform Engineering, Product Engineering, Product leadership to ensure the Developer Platform meets the growth demands of Aladdin&rsquo;s clients and partners.</li></ul>
For New York, NY Only the salary range for this position is USD$275,000.00 - USD$350,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

Our benefits 
 
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.<div>
For additional information on BlackRock, please visit @blackrock<div>
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 | Twitter: @blackrock<div>
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 | LinkedIn: www.linkedin.com/company/blackrock<div>
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BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC&rsquo;s Know Your Rights poster and its supplement<div>
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 and the pay transparency statement<div>
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.</div><div>
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com<div>
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BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.</div>
<div><div>Job Requisition #
 
R261411</div></div></div>

Head of AI Developer Platform

Maximus Health

<div>Fully Remote (North America / South America)<ul><li>
There is 1 opening, posted to multiple locations.</li></ul>
No agencies.
<h1 class="jobSectionHeader">About Maximus</h1>
Maximus (https://www.maximustribe.com/) is a mission-driven consumer performance medicine telehealth company that provides men and women with content, community, and clinical support to optimize their health, wellness, and hormones. Maximus has achieved profitability, 8-figure ARR, and is doubling year over year - with a strong cash position. We have raised $15M from top Silicon Valley VCs such as Founders Fund and 8VC as well as leading angel investors/operators from companies like Bulletproof, Tinder, Coinbase, Daily Stoic, &amp; Shopify.
We also offer Maximus Labs, a standalone biomarker testing subscription that doubles as an acquisition channel into our telemedicine protocols. We're targeting 2x customer growth this year and need a Growth Lead who can build the acquisition engine that gets us there.
We're capital-efficient and compete against Hims, Hone, Keeps, and Fella by being better at the product, not louder with ad spend. Our growth strategy is conversion-driven: make the signup-to-checkout funnel so good that paid channels become more efficient by default.<h1 class="jobSectionHeader">
About the Role</h1>
We are looking for a strong Lead Engineer (Tech Lead) to lead our Growth engineering team. You will be splitting your time roughly 50/50 between management and coding. You own the lower acquisition funnel, from flow start through checkout, across all Maximus protocols.
Your north star metric is Flow Start to Checkout CVR. You also carry an M1 Retention guardrail, which means you can't optimize for conversion at the expense of user quality. Every experiment you ship has a built-in quality check.
You will manage a small team of engineers and work directly with a Sr. PM and Sr. Designer. You will report directly to the Head of Engineering.<h1 class="jobSectionHeader">
Why this role and join us?:</h1><ul><li>
Impact: Set the technical direction for how Maximus acquires customers, run experiments that directly move revenue, and build a team that compounds learning over time. The Growth team's output is visible in the company's top-line numbers every month.</li><li>
First 90 days: Complete BNPL migration to Klarna across all protocols</li><li>
First 2 Quarters: Launch a new activation satisfaction survey for our retention guardrail and build cohort-level experiment tracking</li><li>
Maximus is at the stage where the acquisition engine needs a dedicated engineering leader who stays with the problem long enough to compound results. If you want to own that end to end, with real authority and real accountability, this is the role for you.</li></ul><h1 class="jobSectionHeader">
What you will do (Key Responsibilities):</h1><ul><li>
Deliver protocol-level A/B experiments on signup flows, checkout, plan pricing, and product recommendations using Amplitude</li><li>
Ship full-stack features across the acquisition funnel in Rails and React</li><li>
Coach and develop your engineering team through regular 1:1s, pair programming, code reviews, and career conversations</li><li>
Own experiment design, including sample sizing, metric selection, and the CVR-vs-retention tension that comes with a dual mandate</li><li>
Iterate and continuously optimize plan and pricing architecture, including payment platform integrations</li><li>
Build and maintain the experimentation infrastructure your team runs on</li><li>
Partner with data engineering to instrument cohort-level M1 retention tracking per experiment</li><li>
Drive adoption of AI-assisted development across the team, using tools like Claude Code and Devin to increase shipping and development velocity</li></ul><h1 class="jobSectionHeader">
Our Tech Stack:</h1><ul><li>
Ruby on Rails 7 / Ruby 3.3, React 18 / TypeScript 5.4 (strongly preferred)</li><li>
Event-sourced architecture with command pattern</li><li>
PostgreSQL, Redis, Delayed Job for background processing</li><li>
Stripe and Klarna for payments and installment plans</li><li>
Amplitude for experimentation and analytics, Segment for event collection</li><li>
Redux with redux-loop and Immutable.js on the frontend</li><li>
Docker, AWS/GCP, Aptible, GitHub Actions CI/CD</li><li>
Cypress for E2E testing</li><li>
AI-assisted development: Claude Code and Devin for agentic coding</li></ul><h1 class="jobSectionHeader">
What we are looking for (Qualifications):</h1><ul><li>
You've led a team of 4-8 engineers before, with direct reports you grew and retained</li><li>
You've shipped and measured growth experiments in a subscription product (signup funnels, checkout optimization, pricing and plan architecture)</li><li>
You write production Ruby on Rails and React code and expect to keep doing so (strongly preferred). Javascript (Node), Python are also acceptable.
</li><li>You can design an experiment, pick the right metric, set a sample size, and explain the trade-offs to a PM who wants to ship faster</li><li>
You think in funnels and cohorts, not just features</li><li>
You're comfortable with event-sourced systems or similar architectural patterns where state is derived from event streams</li><li>
You use agentic AI coding tools (Claude Code, Devin, Cursor, or similar) in your daily workflow and have opinions about how to integrate them into a team's development process</li></ul><h2 class="jobSectionHeader">
Nice to have (strongly preferred):</h2><ul><li>
Experience with healthcare, wellness, or regulated subscription commerce</li><li>
Familiarity with Stripe billing, Klarna, or similar payment platform integrations</li><li>
Experience building or managing Amplitude (or LaunchDarkly, Optimizely, etc.) experimentation infrastructure</li></ul><h1 class="jobSectionHeader">
How we work:</h1><ul><li>
Remote, Americas-based (team is distributed across US and Latin America time zones)</li><li>
Two-week sprints with PM, Design, and Tech Lead driving prioritization together</li><li>
Ship and deploy to production multiple times per day</li></ul><h1 class="jobSectionHeader">
World-Class Benefits:</h1><ul><li>
Full suite: health, medical, dental coverage (USA &amp; Canada)</li><li>
Flexible vacation/time-off policies</li><li>
Equity into the company in the form of high potential stock options</li><li>
Liquidity of options whenever available</li><li>
Extended options exercise window for loyal employees (3 months for every year of service; e.g. 1 year for 4+ year employees)</li></ul><h1 class="jobSectionHeader">
Interview process</h1>
Do you believe you're a fit for this role and want to join the Maximus team? We'd love to hear about you! Here is what you can expect from the hiring process (if there are changes we will be sure to let you know).
Please refrain from messaging or emailing people directly, if you are interested, apply directly, your application will be reviewed by a human.<ul><li>
Application &amp; Criteria Questionnaire: When submitting your application and resume, tell us why you want to join Maximus and take your time with the questions. The Criteria Questionnaire will be sent to you automatically and is mandatory, we will use it as part of our data driven process. This is your chance to make a strong first impression.</li><li>
First Interview (30min): Interview with Justin L, Recruiting Lead. This will be a exploratory conversation focused on how you work, your experience &amp; fit for the role, and alignment on values and expectations.</li><li>
Hiring Manager Interview (60min): You will then meet with Mark P - Head of Engineering to understand how you would approach real Growth team problems across system design and technical decisions as well as discussion around leading a team, growing engineers, hiring, AI adoption, and other aspects of people leadership.</li><li>
Technical Interview (60min): Interview with one of our Senior or Lead engineers to evaluate hands-on coding ability in our stack (Rails + React/TypeScript). We want to see that you can build and ship, not just architect. Feel free use agentic AI tools (Claude Code, Cursor, Windsurf, etc.) during the exercise, as appropriate</li><li>
Product Interview (45min): You will chat with Steve C - Senior Growth Product Manager who will dive into your collaboration with product, how you assess tradeoffs, and growth related product work.
</li><li>Meet the CEO (30min): At the very end, you will have the opportunity to meet with Cam S, our CEO. This is a great chance for you to gain a deeper understanding of Maximus's strategy, values, and work processes.</li></ul>
Maximus is an equal opportunity employer, which not only includes standard protected categories, but the additional freedom from discrimination against your free speech and beliefs, as long as they are aligned with company values. We celebrate intellectual diversity.
Note: We utilize AI note-taking technology during our interview sessions to ensure we capture all answers and details accurately. Candidates are also encouraged to use AI note-takers for their own records if they wish.
Compensation Range: $150K - $200K</div>

Lead Software Engineer / Tech Lead Manager, Growth (Remote)

Capital One

<div>Senior Lead Machine Learning Engineer
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You&rsquo;ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You&rsquo;ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
What you&rsquo;ll do in the role:
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:<ul><li>
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.</li><li>
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).</li><li>
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.</li><li>
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.</li><li>
Retrain, maintain, and monitor models in production.</li><li>
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.</li><li>
Construct optimized data pipelines to feed ML models.</li><li>
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.</li><li>
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.</li><li>
Use programming languages like Python, Scala, or Java.</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)</li><li>
At least 4 years of experience programming with Python, Scala, or Java</li><li>
At least 3 years of experience building, scaling, and optimizing ML systems</li><li>
At least 2 years of experience leading teams developing ML solutions</li></ul>
Preferred Qualifications:<ul><li>
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field</li><li>
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform</li><li>
4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, Kubeflow or TensorFlow</li><li>
3+ years of experience developing performant, resilient, and maintainable code</li><li>
3+ years of experience with data gathering and preparation for ML models</li><li>
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents</li><li>
3+ years of experience building production-ready data pipelines that feed ML models</li><li>
Ability to communicate complex technical concepts clearly to a variety of audiences</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer 

McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer 

New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer 

San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer 

San Jose, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Senior Lead Machine Learning Engineer

Information Technology Senior Management Forum

<div><div>Posted Date
4/10/2026
</div><div>Description
<div>Senior Lead Machine Learning Engineer
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You&rsquo;ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You&rsquo;ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
What you&rsquo;ll do in the role:
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:<ul><li>
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.</li><li>
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).</li><li>
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.</li><li>
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.</li><li>
Retrain, maintain, and monitor models in production.</li><li>
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.</li><li>
Construct optimized data pipelines to feed ML models.</li><li>
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.</li><li>
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.</li><li>
Use programming languages like Python, Scala, or Java.</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)</li><li>
At least 4 years of experience programming with Python, Scala, or Java</li><li>
At least 3 years of experience building, scaling, and optimizing ML systems</li><li>
At least 2 years of experience leading teams developing ML solutions</li></ul>
Preferred Qualifications:<ul><li>
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field</li><li>
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform</li><li>
4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, Kubeflow or TensorFlow</li><li>
3+ years of experience developing performant, resilient, and maintainable code</li><li>
3+ years of experience with data gathering and preparation for ML models</li><li>
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents</li><li>
3+ years of experience building production-ready data pipelines that feed ML models</li><li>
Ability to communicate complex technical concepts clearly to a variety of audiences</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer 

McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer 

New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer 

San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer 

San Jose, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead Machine Learning Engineer
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You&rsquo;ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You&rsquo;ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
What you&rsquo;ll do in the role:
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:<ul><li>
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.</li><li>
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).</li><li>
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.</li><li>
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.</li><li>
Retrain, maintain, and monitor models in production.</li><li>
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.</li><li>
Construct optimized data pipelines to feed ML models.</li><li>
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.</li><li>
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.</li><li>
Use programming languages like Python, Scala, or Java.</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)</li><li>
At least 4 years of experience programming with Python, Scala, or Java</li><li>
At least 3 years of experience building, scaling, and optimizing ML systems</li><li>
At least 2 years of experience leading teams developing ML solutions</li></ul>
Preferred Qualifications:<ul><li>
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field</li><li>
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform</li><li>
4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, Kubeflow or TensorFlow</li><li>
3+ years of experience developing performant, resilient, and maintainable code</li><li>
3+ years of experience with data gathering and preparation for ML models</li><li>
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents</li><li>
3+ years of experience building production-ready data pipelines that feed ML models</li><li>
Ability to communicate complex technical concepts clearly to a variety of audiences</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer 

McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer 

New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer 

San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer 

San Jose, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>
</div><div>Salary
229,900.00 - 262,400.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

DeepMind

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>5 years of experience programming in Objective-C or Swift.</li>
<li>3 years of experience with iOS application development.</li>
<li>3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree or PhD in Computer Science or related technical field.</li>
<li>Experience building beautiful and intuitive mobile interfaces with a focus on &quot;high-craft&quot; user experiences and sophisticated UI behaviors.</li>
<li>Experience executing live experiments (A/B testing) and using performance or crash data to optimize user journeys.</li>
<li>Familiarity with or a strong interest in integrating AI/ML capabilities (like LLMs) into mobile applications.</li>
<li>Ability to own an end-to-end technical roadmap, set direction for a small team, and mentor engineers.</li>
<li>Ability to partner with Product Managers and UX Designers to define and implement core product features.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
As a part of the Gemini App Input team, you will serve as the primary gateway to the Gemini ecosystem. Your mission is to establish a new, high bar for user experience by creating simple, intuitive, and high-craft interfaces across Web, Android, and iOS, as the &quot;front door&quot; to Gemini, we own the core interaction model, from the initial input experience to sophisticated model orchestration via the model picker and thinking levels. 
 
In this role, you will be responsible for integrating Gemini&rsquo;s most powerful and popular capabilities directly into the user&rsquo;s workflow, including managing feature gates for multimodal experiences like Image Generation and Video Generation (Veo), as well as deep research tools. You will drive essential cross-product synergy, building seamless integrations with NotebookLM, Workspace, and other key services to ensure Gemini is a helpful and beautiful partner in every user journey.Artificial intelligence will be one humanity&rsquo;s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve global issues and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.<div> 
We are pushing the boundaries across multiple domains. Our global teams offer various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.</div><div></div><div> 
The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</div><div></div><div> 
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Lead the development of a beautiful, high-craft input experience for the Gemini App on iOS, implementing sophisticated features like progressive disclosure, tool attachments, and the new &quot;Add&quot; menu.</li>
<li>Own end-to-end implementation of the iOS input plate, defining both the architecture and technical roadmap for a seamless mobile user journey.</li>
<li>Collaborate with Product Managers and UX Designers to translate the new design goal into intuitive mobile behaviors, acting as the primary technical point of contact for the GeminiApp Core experience.</li>
<li>Design and execute live experiments to optimize user journeys, while proactively monitoring crash data and performance metrics to ensure a rock-solid mobile experience.</li>
<li>Identify and implement opportunities to use Google's latest AI/ML capabilities to enhance the application's responsiveness and overall helpfulness.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Software Engineer, iOS, Gemini App Input, DeepMind

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
POSITION SUMMARY
CVS Health Digital is looking for hands-on, passionate people who want to join a high energy and growing team to make a difference in customers&rsquo; lives and who want to be on the forefront of digital innovation that aims to reinvent what a pharmacy and a health care company can be in the digital world. The Director of Automation Engineering - Pharmacy Products will lead the strategy, design, and delivery of intelligent automation platforms that accelerate product development, improve productivity and drive operational efficiency across the team. This leader will build and scale AI‑powered automation products, including knowledge repositories, automated user‑story generation, and end‑to‑end test automation, with a strong emphasis on agentic AI and real‑world business impact. This role requires a rare combination of deep technical expertise in AI and automation, strong business acumen, and proven leadership in building platforms that are adopted at scale by product, engineering, and operations teams.
Expectations For The Role<div>
Automation &amp; AI Product Leadership<ul><li>
Define and own the vision, roadmap, and execution of enterprise‑grade automation platforms that support:<ul><li>
Intelligent knowledge repositories (self‑learning, context‑aware, continuously updated)</li><li>
Automated user‑story and acceptance‑criteria generation
</li><li>AI‑driven test‑case generation and end‑to‑end experience automation</li></ul></li><li>
Drive adoption of agentic AI systems that can reason, plan, and execute multi‑step workflows to automate processes</li><li>
Ensure automation solutions are product‑centric, scalable, secure, and aligned with business priorities</li></ul>
Agentic AI &amp; Advanced Automation</div><ul><li>
Lead the design and implementation of agentic AI systems that drive efficiencies to accelerate product ideation, product strategy development, and creation of high‑quality product backlogs</li><li>
Build AI agents capable of synthesizing insights from knowledge repositories, customer signals, and operational data to inform roadmap decisions and backlog prioritization</li><li>
Enable automated generation of user stories, acceptance criteria, and test scenarios that align product intent with end‑to‑end experience automation</li><li>
Partner with Product Management, Engineering, and Architecture leaders to embed AI‑driven automation into product discovery, planning, and delivery workflows</li><li>
Ensure agentic solutions continuously learn from outcomes and user feedback to improve relevance, accuracy, and business impact</li></ul><div></div><div>
End‑to‑End Experience Automation<ul><li>
Build automation capabilities that span the full product lifecycle&mdash;from ideation and requirements to development, testing, release, and monitoring</li><li>
Enable true experience‑level automation, not just test automation, across user journeys and business workflows</li><li>
Establish standards, metrics, and feedback loops to continuously improve automation effectiveness and reliability</li></ul></div><div>
Business &amp; Stakeholder Leadership<ul><li>
Partner with Product, Engineering, Operations, and Business leaders to identify high‑impact automation opportunities</li><li>
Translate business problems into automation strategies with clear ROI, efficiency gains, and quality improvements</li><li>
Influence senior leadership through data‑driven insights, compelling narratives, and demonstrated outcomes</li></ul></div><div>
People &amp; Organizational Leadership<ul><li>
Build, lead, and mentor high‑performing teams of automation engineers, AI engineers, and technical leaders</li><li>
Foster a culture of innovation, experimentation, learning agility, and accountability</li><li>
Own talent strategy including hiring, performance management, career development, and succession planning</li></ul></div> 
REQUIRED QUALIFICATIONS<div><ul><li>
10+ years of experience in software engineering, automation, or platform development</li><li>
5+ years in senior technical leadership roles (Director, Senior Manager, or equivalent)</li><li>
5+ years using SDLC automation, test automation, CI/CD, and modern engineering practices</li><li>
3+ years of proven experience building AI‑driven automation products, including hands‑on experience with agentic AI or autonomous systems</li><li>
Demonstrated ability to connect technology decisions to business outcomes and operational efficiency</li></ul></div>
PREFERRED QUALIFICATIONS<div><ul><li>
Experience building internal developer platforms or productivity tools at enterprise scale</li><li>
Background in knowledge management systems, NLP‑based automation, or generative AI applications</li><li>
Experience operating in highly regulated or complex enterprise environments</li><li>
Track record of driving cross‑functional change and technology adoption</li></ul></div>
EDUCATION 
Bachelor&rsquo;s degree or, equivalent experience (HS diploma + 4 years relevant experience)
BUSINESS OVERVIEW 
Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand &mdash; with heart at its center &mdash; our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors&trade; support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
Pay Range
The typical pay range for this role is:
$144,200.00 - $288,400.00 
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. 
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. 
Additional details about available benefits are provided during the application process and on Benefits Moments. 
We anticipate the application window for this opening will close on: 07/31/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Director of Automation Engineering - Pharmacy Products

Praxis

Java eTrading Developer (Fixed Income) &ndash; NYC (W9)We are looking for a Java eTrading Developer based in New York City with experience in Fixed Income Capital Markets. This is a W9 contractor position.Location: New York City Work Type: Hybrid (2-3 day per week) Employment Type: W9 ContractorResponsibilities<ul><li>Develop and maintain Java-based eTrading applications</li><li>Work with Fixed Income trading systems and market data</li><li>Build REST APIs and microservices</li><li>Support pricing, quotes, and order management workflows</li><li>Collaborate with trading and business teams</li></ul>Requirements<ul><li>Strong Java experience (Java 6+)</li><li>Spring / Spring Boot</li><li>REST API development</li><li>Experience with electronic trading (eTrading) systems</li><li>Knowledge of Fixed Income products (Bonds, Treasuries, Yield/Pricing)</li><li>Understanding of trading lifecycle (Front Office preferred)</li><li>Experience with messaging systems (Kafka, MQ, JMS)</li><li>Market data experience</li><li>SQL and Linux/Unix environment</li><li>Microservices architecture</li></ul>Nice to Have<ul><li>FIX Protocol</li><li>Investment banking experience</li><li>Trading platforms</li><li>AWS or cloud experience</li></ul>Pay: $15,000.00 - $18,000.00 per monthWork Location: Hybrid remote in New York, NY 10010

Java eTrading Developer (Fixed Income) — NYC

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Director of Automation Engineering - Pharmacy Products

Java eTrading Developer (Fixed Income) — NYC