CrawlJobs Logo

Senior Lead Machine Learning Engineer

capitalone.com Logo

Capital One

Location Icon

Location:
United States , New York ▼

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

229900.00 - 286200.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Job Responsibility:

  • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with a cross-functional team of engineers, research scientists, technical program managers, and product managers
  • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more
  • Construct optimized data pipelines to feed ML models
  • Design, develop, test, deploy, and support AI software components including large language model inference, similarity search, model evaluation, experimentation, governance, and observability, etc
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
  • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One
  • 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

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

Nice to have:

  • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
  • Experience developing, delivering, and supporting ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
  • 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 with data gathering and preparation for ML models
  • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
  • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory)
  • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
  • Ability to communicate complex technical concepts clearly to a variety of audiences
What we offer:
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Additional Information:

Job Posted:
January 31, 2026

Employment Type:
Fulltime
Icon
Capital One - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior Lead Machine Learning Engineer

Senior Principal Machine Learning Engineer - LLM Post-Training and Optimization

Atlassian is seeking a highly skilled and experienced Senior Principle Machine L...
Location
Location
United States , Mountain View
Salary
Salary:
243100.00 - 407200.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D. or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field
  • 8+ years of experience in machine learning, with a focus on large-scale model development and optimization
  • Deep expertise in LLM and transformer architectures (e.g., GPT, BERT, T5)
  • Strong proficiency in Python and ML frameworks such as PyTorch, JAX, or TensorFlow
  • Experience with distributed training techniques and large-scale data processing pipelines
  • Proven track record of deploying machine learning models in production environments
  • Familiarity with model optimization techniques, including quantization, pruning, and knowledge distillation
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment
  • Excellent communication skills and ability to translate technical concepts for diverse audiences
Job Responsibility
Job Responsibility
  • Lead the fine-tuning and post-training optimization of large language models (LLMs) for diverse applications
  • Develop and implement techniques for model compression, quantization, pruning, and knowledge distillation to optimize performance and reduce computational costs
  • Conduct research on advanced techniques in transfer learning, reinforcement learning, and prompt engineering for LLMs
  • Design and execute rigorous benchmarking and evaluation frameworks to assess model performance across multiple dimensions
  • Collaborate with infrastructure teams to optimize LLM deployment pipelines, ensuring scalability and efficiency in production environments
  • Stay at the forefront of advancements in LLM technologies, sharing insights, driving innovation within the team, and leading agile development
  • Mentoring other team members, facilitating within/across team workshops, fostering a culture of technical excellence and continuous learning
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Systems Engineer

Our team is building the foundations to democratise Machine Learning for Atlassi...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin)
  • Understanding and experience with Machine Learning project lifecycle and tools
  • Understanding of LLMs, best deployment practices and inference optimisation
  • Experience in building and implementing high-performance RESTful micro-services
  • Experience building and operating large scale distributed systems using Amazon Web Services (Sagemaker, S3, Cloud Formation, AWS Security and Networking)
  • Experience with Continuous Delivery and Continuous Integration
Job Responsibility
Job Responsibility
  • Build and scale the core infrastructure to allow software engineers, ML engineers & data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines
  • Build systems for product teams like Jira & Confluence to provide access to curated LLMs
  • Use software development expertise to solve difficult problems, tackling infrastructure and architecture challenges
  • Lead engineers to drive involved projects from technical design to launch
  • Collaborate with other teams and internal customers to set expectations, gather input and communicate results
What we offer
What we offer
  • Health coverage
  • Paid volunteer days
  • Wellness resources
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

As a Senior Machine Learning Engineer in the Central AI team, you will build and...
Location
Location
Australia , Sydney
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)
  • 3+ years of related industry experience in the data science domain
  • Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
  • Experience building and scaling machine learning models in business applications using large amounts of data
  • Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
  • Focus on business practicality and the 80/20 rule
  • very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"
  • Agile development mindset, appreciating the benefit of constant iteration and improvement
Job Responsibility
Job Responsibility
  • Build and maintain the core infrastructure to allow machine learning engineers and data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines
  • Use software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges
  • Design system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to junior ML engineers
  • Lead other engineers to drive involved projects from technical design to launch
  • Collaborate with other teams and internal customers to set expectations, gather input and communicate results
What we offer
What we offer
  • Health and wellbeing resources
  • Paid volunteer days
  • Fulltime
Read More
Arrow Right

Senior AI and Machine Learning Engineer

We are seeking Senior AI/ML & Innovation Engineer who will be leading initiative...
Location
Location
United States , Aguadilla
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
  • Typically, 7-10 years’ experience
  • Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning
  • A strong foundation in mathematics and statistics
  • Proficiency in programming languages such as Python, R, or Java
  • Strong understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
  • Experience in Cloud Infrastructure (AWS, Azure, etc)
  • Knowledge of Open Source, Linux, etc
  • Understanding of Devops, SRE
  • Advanced knowledge and experience in deep learning
Job Responsibility
Job Responsibility
  • Conducts research and stays up to date with the latest advancements in AI and machine learning technologies, frameworks, and algorithms
  • Collaborates with cross-functional teams to understand business requirements and design AI and machine learning solutions
  • Develops, implements, and optimizes machine learning models and algorithms
  • Deploys machine learning models into production environments
  • Monitors the performance of deployed models
  • Organizes and leads comprehensive design review sessions
  • Works collaboratively with the engineering manager and team lead to set design and implementation standards
  • Regularly leads meetings
  • Has experience in providing technical leadership, mentorship, and guidance to junior team members
  • Develops and delivers strategic presentations and reports to senior stakeholders
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...
Location
Location
United Kingdom , Cambridge
Salary
Salary:
136000.00 - 261050.00 GBP / Year
altoslabs.com Logo
Altos Labs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
  • 6+ years of relevant post-PhD work experience in either an academic or industry setting
  • Proven experience developing and applying complex machine learning models
  • A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
  • Excellent scientific communication skills
  • Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
  • Proven experience applying sophisticated ML techniques to molecular and cell biological data sets
Job Responsibility
Job Responsibility
  • Pioneer novel machine learning methodologies and statistical frameworks
  • Contribute to setting the long-term technical vision and research strategy for a core domain within the Institute of Computation
  • Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
  • Design, implement, and optimize large-scale machine learning systems using modern frameworks and agile practices
  • Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
  • Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
  • Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
  • Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
  • Act as a key technical mentor to Machine Learning Scientists and Engineers
  • Fulltime
Read More
Arrow Right

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...
Location
Location
United States , Redwood City; San Diego
Salary
Salary:
260950.00 - 509450.00 USD / Year
altoslabs.com Logo
Altos Labs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
  • 6+ years of relevant post-PhD work experience in either an academic or industry setting
  • Proven experience developing and applying complex machine learning models
  • A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
  • Excellent scientific communication skills
  • Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
  • Proven experience applying sophisticated ML techniques to molecular and cell biological data sets
Job Responsibility
Job Responsibility
  • Pioneer novel machine learning methodologies and statistical frameworks
  • Contribute to setting the long-term technical vision and research strategy for a core domain
  • Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
  • Design, implement, and optimize large-scale machine learning systems
  • Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
  • Develop robust approaches for multi-modal data integration and cross-domain mapping
  • Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
  • Lead the full ML development lifecycle
  • Act as a key technical mentor to Machine Learning Scientists and Engineers
Read More
Arrow Right

Senior Machine Learning Engineer

As Babylist’s Senior Machine Learning Engineer, you’ll be the founding expert dr...
Location
Location
United States; Canada
Salary
Salary:
189900.00 - 237400.00 USD / Year
babylist.com Logo
Babylist
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of experience delivering end to end solutions that drive business growth
  • Deep expertise in the Python ML ecosystem (pandas, sklearn, xgboost, PyTorch)
  • Strong expertise creating custom embeddings from raw data sources
  • Experience going beyond off-the-shelf image/text embeddings to develop domain-specific representations for ML models
  • Proven track record building and delivering production-grade ML solutions, especially recommender systems or personalization features
  • Experience with the entire ML lifecycle, including workflow orchestration (Airflow) and model monitoring
  • Strong communication skills with technical and non-technical stakeholders
  • Background in consumer-facing products preferred
  • Expertise with e-commerce, dating apps, or complex user journey platforms is highly relevant
  • Demonstrate autonomy: able to define problem space, architect solutions from scratch (zero to one), and operate with ownership
Job Responsibility
Job Responsibility
  • Pioneer ML at Babylist: shape the roadmap, practices, and culture for machine learning and personalization at scale
  • Own high-impact work end-to-end: build and launch high-leverage personalization features from the ground up
  • Lead both technically and strategically: be the technical pioneer and strategic leader for ML at Babylist
  • Collaborate across a strong data organization: partner with data scientists, data engineers, and analytics engineers
What we offer
What we offer
  • Competitive salary with equity and bonus opportunities
  • Company-paid medical, dental, and vision insurance
  • Retirement savings plan with company matching and flexible spending accounts
  • Generous paid parental leave and PTO
  • Remote work stipend to set up your office
  • Perks for physical, mental, and emotional health, parenting, childcare, and financial planning
  • Fulltime
Read More
Arrow Right

Senior Staff Machine Learning Engineer (AI Agent)

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agent...
Location
Location
United States; Canada
Salary
Salary:
Not provided
cresta.com Logo
Cresta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree in Computer Science, Mathematics, or a related field
  • Master’s or Ph.D. preferred, or equivalent professional experience
  • 7+ years of hands-on industry experience with AI and machine learning
  • 3+ years of experience working with LLMs in large-scale production environments
  • Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs
  • Proven leadership in designing and deploying AI solutions at scale
  • Extensive practical knowledge of modern machine learning frameworks and technologies (e.g., PyTorch, Tensorflow, Hugging Face, NumPy)
  • Experience with distributed systems and cloud-based AI infrastructure
  • Strong problem-solving and strategic thinking abilities
  • Proven ability to lead cross-functional teams and work collaboratively to deliver innovative AI solutions in production
Job Responsibility
Job Responsibility
  • Design, develop, and deploy Cresta’s AI Agent solutions and proprietary models
  • Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios
  • Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Cresta’s customer solutions
  • Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases
  • Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s AI Agents
  • Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems
What we offer
What we offer
  • Variety of medical, dental, and vision plans
  • Paid parental leave
  • Monthly Health & Wellness allowance
  • Work from home office stipend
  • Lunch reimbursement for in-office employees
  • PTO: 3 weeks in Canada
  • Base salary, equity, and a variety of benefits
  • Fulltime
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy