CrawlJobs Logo
Capital One Logo Capital One · IT - Software Development

Senior Manager, Machine Learning Engineering

United States, McLean Employment contract 229900.00 - 286200.00 USD / Year · Job Posted May 04, 2026
Apply Position
Job Link Share

Job Description

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’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’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.

Job Responsibility

  • Design, build, and/or deliver ML models and components that solve real-world business problems
  • Inform ML infrastructure decisions using understanding of ML modeling techniques and issues
  • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
  • Collaborate as part of a cross-functional Agile team to create and enhance software
  • Retrain, maintain, and monitor models in production
  • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
  • Construct optimized data pipelines to feed ML models
  • Leverage continuous integration and continuous deployment best practices
  • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed
  • Use programming languages like Python, Scala, or Java

Requirements

  • Bachelor’s Degree
  • At least 8 years of experience designing and building data-intensive solutions using distributed computing
  • At least 4 years of experience programming with Python, Scala, or Java
  • At least 3 years of experience building, scaling, and optimizing ML systems
  • At least 2 years of experience leading teams developing ML solutions
  • At least 4 years of people management experience
  • Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field
  • 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
  • 3+ years of experience developing performant, resilient, and maintainable code
  • 3+ years of experience with data gathering and preparation for ML models
  • Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
  • 3+ years of experience building production-ready data pipelines that feed ML models
  • Ability to communicate complex technical concepts clearly to a variety of audiences
  • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents

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
Capital One - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Senior Manager, Machine Learning Engineering

8 matching positions

Senior Machine Learning Engineering Manager, Gen AI

We're seeking a Senior Machine Learning Manager (M60) to lead a cross-functional...
Location
Location
United States
Salary
Salary:
193500.00 - 303150.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years in ML, search, or backend engineering roles, with 3+ years leading teams
  • Strong track record of shipping ML-powered or LLM-integrated user-facing products
  • Experience with RAG systems (vector search, hybrid retrieval, LLM orchestration)
  • Deep experience in either modeling (e.g., LLMs, search, NLP) or engineering (e.g., backend infra, full-stack), with the ability to lead end-to-end
  • Deep understanding of LLM ecosystems (OpenAI, Claude, Mistral, OSS), orchestration frameworks (LangChain, LlamaIndex), and vector databases (Weaviate, Pinecone, FAISS, etc.)
  • Strong product intuition and ability to translate complex tech into valuable user features
  • Familiarity with GenAI evaluation methods: hallucination detection, groundedness scoring, and human-in-the-loop feedback loops
  • Master’s or PhD in Computer Science, Machine Learning, or related field preferred—or equivalent practical experience
Job Responsibility
Job Responsibility
  • Lead the vision, design, and execution of LLM-powered AI products, leveraging advance AI modeling (e.g. SLM post-training/fine-tuning), RAG architectures and hybrid ranking system
  • Define system architecture across retrievers, rankers, orchestration layers, prompt templates, and feedback mechanisms
  • Work closely with product and design teams to ensure delightful, fast, and grounded user experiences
  • Build and manage a cross-disciplinary team including ML engineers, backend/frontend engineers, and applied scientists
  • Foster a culture of E2E ownership — empowering the team to move from prototype to production quickly and iteratively
  • Mentor individuals to grow in both technical depth and product acumen
  • Shape the technical roadmap and long-term strategy for GenAI search across Atlassian’s product suite
  • Partner with platform and infra teams to scale inference, evaluate performance, and integrate usage signals for continuous improvement
  • Champion data quality, grounding, and responsible AI practices in all deployed features
What we offer
What we offer
  • health and wellbeing resources
  • paid volunteer days
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineering Manager, Gen AI

The Dropbox team is growing, and we're looking for an engineering manager to sup...
Location
Location
Canada
Salary
Salary:
219300.00 - 296700.00 CAD / Year
dropbox.com Logo
Dropbox
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MS degree or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
  • 10+ years of software engineering experience, with at least 5+ years in direct management roles.
  • Proficient in the latest advancements in ML, NLP, LLM, and GenAI.
  • Drive and ability to move forward in spite of ambiguity with a bias for action.
  • Proven expertise in the application of ML techniques to address practical challenges in real-world scenarios, spanning AI Agents, Chatbots, Search, or Information Retrieval domains.
  • Strong emphasis on using data-driven insights to guide decision-making processes, including A/B testing and experimentation.
  • Proven track record of setting visionary goals and delivering iterative progress.
  • Exceptional analytical capabilities to optimize solutions in complex and dynamic environments.
  • Ability to mentor and guide team members to maximize their impact.
Job Responsibility
Job Responsibility
  • Lead and develop a high-performing team of engineers, fostering individual ownership, and driving impactful outcomes.
  • Shape and advance the future of Dash, driving product monetization and revenue generation for Dropbox.
  • Utilize data and insights to make informed decisions that significantly impact the company.
  • Foster operational excellence, streamline processes, and eliminate redundancies to ensure team agility.
  • Cultivate a collaborative culture within the team that embodies Dropbox's values.
  • Provide strategic direction and proactively anticipate scaling challenges through long-term planning.
  • Define team’s OKRs and manage the executions.
  • Work closely with business partners and peer teams for project priorities and requirements
  • Manages system’s operational health, including on-call duties and connections with external gateway partners.
  • Define the growth paths and opportunities for team members.
What we offer
What we offer
  • Competitive medical, dental and vision coverage
  • Retirement savings through a defined contribution pension or savings plan
  • Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more, allowing you time to unplug, unwind, and refresh
  • Income Protection Plans: Life and disability insurance
  • Business Travel Protection: Travel medical and accident insurance
  • Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food and groceries, and much more
  • Parental benefits including: Parental Leave, Fertility Benefits, Adoptions and Surrogacy support, and Lactation support
  • Mental health and wellness benefits
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineering Manager, Gen AI

The Dropbox team is growing, and we're looking for an engineering manager to sup...
Location
Location
United States
Salary
Salary:
216200.00 - 365700.00 USD / Year
dropbox.com Logo
Dropbox
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MS degree or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
  • 10+ years of software engineering experience, with at least 5+ years in direct management roles.
  • Proficient in the latest advancements in ML, NLP, LLM, and GenAI.
  • Drive and ability to move forward in spite of ambiguity with a bias for action.
  • Proven expertise in the application of ML techniques to address practical challenges in real-world scenarios, spanning AI Agents, Chatbots, Search, or Information Retrieval domains.
  • Strong emphasis on using data-driven insights to guide decision-making processes, including A/B testing and experimentation.
  • Proven track record of setting visionary goals and delivering iterative progress.
  • Exceptional analytical capabilities to optimize solutions in complex and dynamic environments.
  • Ability to mentor and guide team members to maximize their impact.
Job Responsibility
Job Responsibility
  • Lead and develop a high-performing team of engineers, fostering individual ownership, and driving impactful outcomes.
  • Shape and advance the future of Dash, driving product monetization and revenue generation for Dropbox.
  • Utilize data and insights to make informed decisions that significantly impact the company.
  • Foster operational excellence, streamline processes, and eliminate redundancies to ensure team agility.
  • Cultivate a collaborative culture within the team that embodies Dropbox's values.
  • Provide strategic direction and proactively anticipate scaling challenges through long-term planning.
  • Define team’s OKRs and manage the executions.
  • Work closely with business partners and peer teams for project priorities and requirements
  • Manages system’s operational health, including on-call duties and connections with external gateway partners.
  • Define the growth paths and opportunities for team members.
What we offer
What we offer
  • Competitive medical, dental, and vision coverage
  • 401(k) plan with a generous company match and immediate vesting
  • Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more, allowing you time to unplug, unwind, and refresh
  • Income Protection Plans: Life and disability insurance
  • Business Travel Protection: Travel medical and accident insurance
  • Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food and groceries, and much more
  • Parental benefits including: Parental Leave, Child and Adult Care, Day Care FSA, Fertility Benefits, Adoption and Surrogacy Support, and Lactation Support
  • Access to over 10,000 global co-working spaces through Gable.to, making it easy to book flexible workspaces for collaboration or individual work
  • Quarterly Cell phone and internet allowance
  • Mental health and wellness benefits
  • Fulltime
Read More
Arrow Right

Senior Engineering Manager - Machine Learning

As Sr Engineering Manager for the Shopping ML team, you will join a team dedicat...
Location
Location
United States , Sunnyvale; San Francisco; New York
Salary
Salary:
267000.00 - 297000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MS or equivalent experience in Computer Science, Engineering, Mathematics, or related field
  • 10+ years of industry experience in software engineering and AI/ML
  • 5+ years of experience directly managing engineering or ML teams, with a track record of hiring, mentoring, and growing high-performance teams
  • Deep understanding of machine learning fundamentals, with practical experience applying them to real-world problems.
  • Experience working with cross-functional teams (product, science, product ops, etc.)
Job Responsibility
Job Responsibility
  • Define and execute the Shopping ML product and engineering roadmap and strategy, focusing on personalization and discovery experiences that enhance multiple surfaces on the Uber Eats app including the store, checkout, and s experiences.
  • Collaborate with product managers, data scientists, designers, and operations to identify opportunities, prioritize initiatives, and deliver ML-powered features that feel intuitive and assistive.
  • Develop scalable systems that help consumers easily discover and order food and groceries, while also surfacing personalized recommendations for future meals or unmet needs.
  • Partner with other product & engineering teams to ensure ML frameworks and capabilities are leveraged to create cohesive, delightful user experiences.
  • Stay on top of industry trends and emerging best practices in machine learning and personalization to ensure Uber Eats continues to lead in innovation.
What we offer
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
Read More
Arrow Right

Senior Manager, Machine Learning Platform

We are seeking an experienced Sr. Manager, Machine Learning Platform to lead and...
Location
Location
United States , Mountain View
Salary
Salary:
348913.00 USD / Year
earnin.com Logo
EarnIn
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MS or Ph.D. degree in Computer Science, Statistics, or a related technical field, or equivalent work experience
  • 5+ years of experience in Engineering or Scientific domains
  • 5+ years of experience as a team builder and leader in hiring, developing, and managing high-performing teams
  • Industry experience building and productionizing machine learning systems
  • Advanced knowledge of Python, SQL
  • Strong oral and written communication skills
Job Responsibility
Job Responsibility
  • Define and own the machine learning platform roadmap in alignment with business goals
  • Lead the ML platform team to design, develop, and optimize ML-based systems
  • Drive a culture of scientific and engineering rigor and real-world pragmatism in your team's work, particularly to quantify the impact of features on relevant engagement metrics
  • Collaborate with data engineers, ML algorithm engineers and product managers to coordinate timely deployments from conception to release
What we offer
What we offer
  • equity and benefits
  • Fulltime
Read More
Arrow Right

Senior Manager - Machine Learning

As a Senior Manager at Roku Search, you will lead a team of talented engineers a...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
roku.com Logo
Roku
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years of experience in software engineering
  • 3+ years of experience in managing engineering teams
  • Strong background and hands-on experience in Machine Learning, Natural Language Processing, and Information Retrieval
  • Proven track record of delivering high-quality and scalable search engine solutions
  • Excellent communication and collaboration skills, with the ability to work effectively across different teams and stakeholders
  • Passion for creating a great user experience and solving hard problems
  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience
Job Responsibility
Job Responsibility
  • Manage, mentor, and grow a team of engineers and data scientists who work on search platform and ML optimizations
  • Define the vision, strategy, and roadmap for search relevance, platform optimizations and innovation
  • Oversee the design, implementation, and evaluation of search engine features and algorithms, such as query understanding, ranking, relevance, personalization, and voice search
  • Conduct data analysis and user research to identify search engine opportunities and challenges
  • Collaborate with multiple Cloud (ML and engineering) teams, product and business teams to ensure high degree of alignment, ruthless prioritization in a fast-paced, hyper-growth environment
  • Provide technical direction, guidance, mentoring and hands-on management
  • Plan for operational efficiency to scale products, programs and practices
  • Recruit and manage a world-class Search platform and ML engineering talent
  • Assimilate Roku culture and lead by example to nurture and develop it with the broader team
  • Identify, recommend and develop best practices to improve agility in development pace across geo-distributed teams
What we offer
What we offer
  • Global access to mental health and financial wellness support and resources
  • Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)
  • Vacation and other personal time off
  • Fulltime
Read More
Arrow Right

Engineering Manager, Machine Learning - Fraud Detection & Prevention

Lead the team that develops and owns the machine-learning behind Adyen Protect: ...
Location
Location
Netherlands , Amsterdam
Salary
Salary:
Not provided
adyen.com Logo
Adyen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2+ years experience in managing machine learning engineering teams within a mission-critical environment
  • 7+ years of experience in a ML/AI tech environment
  • affinity to the Protect or Fraud Detection & Prevention domain
  • proven experience working with, and deep understanding of machine learning products
  • energetic self-starter experienced in creating alignment between multiple teams
  • able to define, implement and monitor performance to quickly identify opportunities for improvement in existing systems
  • experience in coaching and mentoring engineering talent
  • experience in leading technical projects in a fast paced and critical environment
  • experience collaborating with senior leadership to set strategic direction including product roadmaps
  • excellent communicator and team player who can inspire others around them
Job Responsibility
Job Responsibility
  • Lead the Fraud Detection & Prevention team with hands-on technical leadership, driving architecture strategy and raising the bar through active mentoring and technical guidance
  • Work cross-functionally with Design, Product, Data Engineers, Machine Learning Engineers, Developers and other key stakeholders
  • Have a multiplier effect by motivating team members and providing coaching in areas including but not limited to: engineering best practices, scalable architecture design, product roadmap discussions
  • Maintain an inclusive team culture focused on autonomy, ownership, collaboration, communication, and impact
  • Collaborate with different teams to design and implement new services with reliability/infra/data/dev in mind
  • Set clear individual and team goals that align with our strategic engineering ambitions in close collaboration with the product manager
  • Create an inspiring and collaborative team environment with an open communication/feedback culture
  • Recruit new team members who align with the Adyen culture and required skills
  • Fulltime
Read More
Arrow Right

Senior Engineer, Machine Learning Engineering

Mastercard’s Business & Market Insights (B&MI) group empowers organizations to a...
Location
Location
India , Pune
Salary
Salary:
Not provided
mastercard.com Logo
Mastercard
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s/bachelor’s degree in computer science or engineering
  • Considerable work experience with a proven track-record of successfully leading and managing complex projects/products and delivering to aggressive market needs
  • Expert-level hands on experience designing, building and deploying both conventional AI/ML solutions and LLM/Agentic solutions
  • Strong analytical and problem-solving abilities, with quick adaptation to new technologies, methodologies, and systems
  • Strong applied knowledge and hands on experience in advanced statistical techniques, predictive modelling, machine learning algorithms, GenAI and deep learning frameworks
  • Experience with AI and machine learning platforms such as TensorFlow, PyTorch, or similar
  • Strong programming skills in languages such as Python/SQL is a must
  • Experience with data visualization tools (e.g., Tableau, Power BI) and understanding of cloud computing services (AWS, Azure, GCP) related to data processing and storage is a plus
Job Responsibility
Job Responsibility
  • Implement multi-agent intelligence frameworks (LangGraph, CrewAI, AutoGen) to enable reasoning, coordination, and adaptive decision-making across specialized AI agents
  • Design and operationalize multi-modal AI pipelines combining text, image, tabular, and graph data using transformer-based architectures (BERT, CLIP, LLaVA, T5, Whisper, etc.) for unified intelligence
  • Build scalable RAG and Graph-RAG systems integrating vector stores and knowledge graphs (Neo4j, AWS Neptune) to enable contextual retrieval, semantic linking, and entity-aware reasoning
  • Develop and productionize transformer-based models for NLP, vision-language understanding, and sequential prediction tasks leveraging Hugging Face, PyTorch, and TensorFlow ecosystems
  • Implement advanced Python-based backend services for inference orchestration, async job handling, and distributed data workflows supporting high-throughput AI operations
  • Establish end-to-end LLMOps and MLOps pipelines on Databricks (AWS) integrating MLflow, feature stores, model lineage, prompt evaluation, and continuous retraining frameworks
  • Apply traditional AI/ML and statistical modeling techniques (regression, clustering, forecasting, ensemble methods) alongside deep learning models for hybrid interpretability and explainability
  • Engineer state and memory management subsystems that preserve context, track embeddings, and enable agents to reason temporally across multiple modalities and interactions
  • Implement Responsible AI practices—bias detection, explainability dashboards, data ethics checks, and performance governance ensuring fairness and transparency of deployed models
  • Continuously research, benchmark, and productionize innovations in multimodal transformers, generative modeling, and agentic orchestration to drive enterprise-scale intelligence and automation
  • Fulltime
Read More
Arrow Right