Lead Machine Learning Engineer (Manager IC) Job at Capital One (Cambridge, Massachusetts)

Lead Machine Learning Engineer (Manager IC)

Lead Machine Learning Engineer (Manager IC) at Capital One. In Risk Tech, you wi...

Location

United States , McLean; Richmond; Cambridge

Salary:

179400.00 - 225100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems

Job Responsibility

Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers
Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI
Fine-tune, develop and evaluate machine learning and foundation models
Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities
Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One
Leverage a broad stack of Open Source and SaaS AI technologies
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues
Retrain, maintain, and monitor models in production
Construct optimized data pipelines to feed ML models
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

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Machine Learning Engineer

We’re building AI-driven applications that power business onboarding, fraud prev...

Location

United States , San Francisco; New York

Salary:

175000.00 - 260000.00 USD / Year

Middesk

Expiration Date

Until further notice

Requirements

7+ years applied ML experience with proven impact in risk, fraud, trust & safety, compliance, fintech, or other high-stakes domains
Track record of owning ML models end-to-end — from research and design to deployment, monitoring, and retraining in production
Strong software engineering skills (Python, ML frameworks, deployment pipelines) and ability to write reliable, production-grade code
Hands-on experience with ML infrastructure such as feature stores, model management, training/serving pipelines, and monitoring tools
Comfortable as a senior IC: you can set technical direction, establish best practices, and mentor peers while collaborating effectively across teams
Experience working cross-functionally with data engineers, platform engineers, and product stakeholders to bring ML systems to life
Deep expertise in classification challenges such as imbalanced labels, sparse signals, cold start, and production version management

Job Responsibility

End-to-end ML ownership: Lead the full lifecycle of ML systems — feature engineering, model design, training, evaluation, deployment, monitoring, and iteration
Collaborate with a strong team: Work alongside data engineers, platform engineers, and product teammates who ensure you have the infrastructure, data, and context to deliver
Design & deploy production models: Build high-performance ML applications in risk, fraud, trust & safety, and compliance domains
Keep models healthy in production: Proactively monitor, detect drift, and retrain to ensure long-term performance and reliability
Experiment & learn: Drive online experiments, offline evaluation, and counterfactual analyses to prove impact
Shape ML foundations: Contribute to the feature store, model management, training/serving pipelines, and best practices that scale ML across multiple use cases

What we offer

equity and benefits

Fulltime

Staff Software Engineer - Traffic Machine Learning

Engineering at Uber means building for real-world impact under real-world constr...

Location

Netherlands , Amsterdam

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

Proficiency in building and maintaining high-scale data pipelines using systems like Flink or Spark
Experience with data analysis techniques and the ability to reason about system performance, headroom, and data quality
Experience leading major technical initiatives from inception through to production and maintenance
Ability to work across multiple technical domains in parallel, zooming into code-level details and out to system-level strategy
Ability to lead through others, driving results from more junior engineers on the team

Job Responsibility

Design, build, and maintain data pipelines that process real-time road data at a global scale, where every millisecond of latency impacts millions of ETAs
Lead technically complex initiatives, such as re-architecting our incident and closure detection systems to improve accuracy and reaction time
Solve messy, high-impact problems—like optimizing the interface between traffic and routing—often without a clear starting point or obvious solution
Navigate the trade-offs between short-term tactical fixes and long-term architectural stability while keeping our Maps ecosystem running smoothly
Own your work end-to-end, from drafting the multi-year technical vision for traffic domains to debugging production issues when the stakes are high
Collaborate cross-functionally with Data Scientists, Product Managers, and Engineering peers to translate complex business needs into robust, scalable software
Champion engineering best practices like code health and design clarity, even when the pace is fast and priorities shift
Mentor and unblock other ICs on the team, raising the bar for technical excellence through thoughtful design reviews and leadership by example

Fulltime

Tech Lead Manager - Behaviour Learning for Embodied AI

The Science organisation at Wayve advances foundational research in embodied AI ...

Location

United Kingdom , London

Salary:

Not provided

Wayve

Expiration Date

Until further notice

Requirements

Years of experience in applied ML/AI roles with strong hands-on contributions
Demonstrated track record of impactful technical work in one or more of: multimodal learning, reinforcement learning, generative models, latent action modelling, optimisation, or planning
Experience building large-scale ML infrastructure and working with high-dimensional temporal data (e.g., video, multi-sensor inputs)
Deep understanding of the end-to-end lifecycle of ML research and deployment
Strong Python and PyTorch engineering fundamentals, with experience developing research-grade, production-oriented tools
Proven ability to shape technical strategy and lead architectural design for ML systems
Publications at top-tier ML conferences such as NeurIPS, ICML, CoRL or ICLR
Clear and thoughtful communicator, capable of influencing technical direction and mentoring others without formal reporting lines

Job Responsibility

Architect the future – Design and evolve models for efficient, robust, and adaptable autonomy, setting a high technical bar for quality and innovation
Accelerate research impact – Partner with team members to test, scale, and productionise research ideas - from architecture design to data strategy. Provide technical guidance and feedback on research design, implementation, and evaluation. Implement scalable, high-throughput training pipelines for models with temporal context and develop and evaluate novel data sampling strategies to accelerate training and generalisation
Get hands-on when it matters – Lead from the front by contributing directly to key system components, codebases, and experiments, especially during high-leverage moments. Contribute directly as an IC on core research and development tasks (~60-70% of time)
Disrupt thoughtfully – Challenge assumptions, ask sharp questions, and champion bold ideas that push us beyond incremental gains and toward breakthrough advances
Make things happen – Lead a high-performing, cross-functional team of applied scientists and ML engineers working across ML, RL, representation learning, planning, among many more. Work closely with the team manager to drive quarterly planning and execution of research-engineering initiatives, enabling rapid iteration and delivery in high-ambiguity environments. Translate ambiguity into action and ensure technical progress tracks with our mission
Champion change – Lead through ambiguity. Balance structure and adaptability to help your team navigate evolving priorities, novel research, and complex organisational change

Principal Tech Lead Manager, Image Generation

We are hiring a Principal Tech Lead Manager to own and grow Copilot's image gene...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Master's degree or PHD or equivalent experience in Computer Science, Applied Math, Statistics, or a related field
5+ years of industry experience in applied ML, AI product engineering, or related disciplines
1+ years managing a team of engineers or data scientists
Demonstrated experience shipping production AI or ML systems at scale
Prior experience leading or mentoring engineers, including at formal tech lead and senior IC responsibilities
Hands-on experience building evaluation frameworks or quality systems for AI/ML products
Track record of driving measurable quality or performance improvements through systematic iteration
Direct experience with image generation models (diffusion models, GANs, multimodal models, etc.)
Experience building and owning hillclimbing infrastructure for generative AI

Job Responsibility

Define and own the end-to-end technical roadmap for Copilot image generation — from prompt understanding and model integration to evaluation, quality, and reliability
Establish architectural best practices for image generation pipelines, including prompt conditioning, safety filtering, multimodal grounding, and user personalization
Partner with research, product, and infrastructure teams to translate long-horizon vision into executable milestones
Serve as the primary technical decision-maker for model selection, integration approaches, and evaluation strategy
Lead the integration, evaluation, and launch of new image generation models and capabilities into Copilot surfaces
Drive improvements to first-run success rate, image quality, prompt adherence, and overall user satisfaction with generated images
Build and own the feedback loop from user signals to model and prompt iteration. Close the loop from production data to systematic improvements
Identify and resolve failure modes in image generation including safety gaps, quality regressions, prompt misinterpretation, and accessibility issues
Architect and scale evaluation frameworks purpose-built for image generation: aesthetic quality, safety, prompt fidelity, diversity, and user preference
Lead competitive benchmarking against peer systems, establishing clear metrics to track progress and signal investment areas

Fulltime

Senior Product Marketing Manager

We are seeking a senior marketing manager to lead product management and marketi...

Location

United States , San Jose

Salary:

177000.00 - 265500.00 USD / Year

ASML

Expiration Date

Until further notice

Requirements

B.S./M.S. and above in electrical engineering, computer science, physics, chemical engineering, materials engineering, IC manufacturing, or process technology related fields
8+ years of experience in the semiconductor industry
5+ years of experience in product marketing and product management with working knowledge in lithography, metrology and process control
Experience managing product management/marketing teams
Critical problem solver with demonstrated experience in leading organizations while influencing cross-functional teams to drive product development, penetration, and adoption
Demonstrated leadership in influencing and managing change
Demonstrated successes in product development and marketing strategies in the semiconductor capital equipment industry
Prior experience with semiconductor capital equipment including working knowledge of semiconductor processes, process control and incorporate design into process control is a must
Demonstrated experience in bringing products to market successfully
Strong motivation to win with a can-do attitude

Job Responsibility

Develop a comprehensive understanding of key customer requirements in semiconductor markets: understand challenges the customer faces, the technical requirements for our products, and the value represented by our solution
Understand our position relative to the competition through competitive SWOT analysis and use this understanding to develop marketing and product introduction strategies
Define product roadmaps that clearly establishes HMI’s competitive advantage
Develop marketing plans and product roadmaps to drive product definition, design and development, customer engagements, and market penetration
Knowledge of computing architectures, design layout analysis and machine learning applications
Evaluate the financial aspects of product developments incl. budgets, expenditures, and projected R&D cost, ROI and profit-and-loss projections
Estimates the financial value of the products and presents alternatives thereby evaluating customer value
Develop use cases, marketing materials, sales collateral, market communication plans including press releases, launch materials and customer presentations
Customer visits and meetings with up to roughly 25% travel

What we offer

medical insurance
dental insurance
vision insurance
basic life insurance
participation in Company’s 401k plan
eight (8) hours of vacation leave every month
(13) paid holidays throughout the calendar year

Fulltime

Director, Data Science - AI for Work (AI4W) Ecosystem

AI for Work (AI4W) is Meta's company-wide effort to integrate AI into every tool...

Location

United States , Menlo Park

Salary:

253000.00 - 314000.00 USD / Year

Engineering Manager II, Ranking and Recommendations, Grocery and Retail

Uber has expanded its services beyond transporting people to include the deliver...

Location

United States , New York

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

10+ years in software engineering with a primary focus on high-traffic backend systems
4+ years of engineering management experience
Deep experience in distributed systems, API/service design, and high-scale production serving
Proven track record in managing SLOs/SLAs, incident response, and performance/latency optimization
Experience delivering ML-backed services and the ability to partner with DS/MLE on model requirements and evaluation
Strong verbal and written communication skills with the ability to influence technical and product roadmaps

Job Responsibility

Lead the team of backend and ML engineers owning the online ranking serving stack and integrations powering key consumer surfaces
Own the Roadmap: Define, prioritize, and execute an ambitious product roadmap through strong people leadership—managing, coaching, and growing all team members
Drive Reliability & Performance: Lead high-impact initiatives to improve p99 latency, tail-latency mitigation, and infra-cost efficiency for high-QPS services
Evolve Data Flow: Oversee the development of real-time and batch pipelines, ensuring online/offline consistency for features and model inputs
Technical Vision: Lay out the multi-quarter roadmap for ranking infra, leveraging senior ICs to drive architectural migrations and capacity planning
Operational Excellence: Champion a strong engineering culture of on-call health, post-mortems, and graceful degradation/fallback strategies
Scale Experimentation: Build and extend automated experimentation capabilities, including guardrails, logging, and debiasing

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

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Lead Machine Learning Engineer (Manager IC)

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