Plano, Texas, United States · On-site
$179k–$205k/yr
Lead Machine Learning Engineer As a Capital One Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing Generative AI and advanced agentic systems at scale. You’ll lead the deta…
Skills: Generative AI, Agentic Architectures, Python, LLM Optimization, RAG
Plano, Texas, United States · On-site
Overview Overview The role of Consumer Care Coordinator will handle escalated inquiries, coordinate incident responses, and ensure high-quality service delivery via phone, email, and chat. This role plays a key part in s…
Skills: Team Leadership, Customer Service, Conflict Resolution, Incident Escalation, Verbal Communication
Plano, Texas, United States · Hybrid
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Plano, Texas, United States · Remote OK
NTT Data is Hiring! Medical Claims Examiner - Remote Processing of Professional claim forms files by provider Reviewing the policies and benefits Comply with company regulations regarding HIPAA, confidentiality, and PHI …
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Plano, Texas, United States · On-site
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Plano, Texas, United States · On-site
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Plano, Texas, United States · On-site
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Plano, Texas, United States · On-site
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Skills: Ecommerce, Digital Retailing, Agile Framework, MS Office Suite, Relationship Management
Plano, Texas, United States · Hybrid
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Jacksonville, Florida, United States · Hybrid
$63k–$124k/yr
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Plano, Texas, United States · Hybrid
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Jacksonville, Florida, United States · Hybrid
$63k–$124k/yr
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Skills: Tax Reporting, US IRW Tax Withholding, Leadership Development, Performance Management, Process Management
Jacksonville, Florida, United States · Hybrid
$63k–$124k/yr
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Skills: Tax Reporting, US IRW Tax Withholding, Microsoft Excel, Reconciliations, Leadership
Plano, Texas, United States · On-site
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Skills: Electronic Packaging, 3D CAD Modeling, Mechanical Design, Thermal Management, GD&T
Plano, Texas, United States · On-site
Overview Enterprise Mobility is seeking a responsible, dedicated person to join our team as a full time Automotive Detailer. This position pays $15 / hr, and is located at 4434 W PLANO PKWY PLANO, TX 75093. The available…
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Plano, Texas, United States · On-site
$18/hr–$23/hr
Base Salary RangeUSD $18.00 - USD $23.00 /Hr. Join Mariner Finance! Base + Incentive: This role is eligible for a competitive monthly incentive based on individual and company performance. The base salary offered within …
Skills: Customer Service, Sales, Credit Analysis, Collections, Problem Solving
Plano, Texas, United States · On-site
Position Summary Headquartered in Plano, TX., Samsung Electronics America, Inc. (SEA) is a leader in mobile technologies, consumer electronics, home appliances and enterprise solutions. From our humble beginnings to our …
Skills: AI Transformation, Data Engineering, Enterprise Platform Architecture, Business Intelligence, Salesforce CRM
Plano, Texas, United States · On-site
The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which w…
Skills: Business Development, Relationship Management, Commercial Lending, Financial Analysis, Credit Assessment
Plano, Texas, United States · Hybrid
$80k–$125k/yr
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Plano, Texas, United States · Hybrid
Overview Do you have an interest in working in the United States with high-net-worth clients living in the UK? Come join our firm as an International Investment Counselor to service a roster of high-net-worth clients. Si…
Skills: Wealth Management, Financial Services, Sales Conversion, Client Relationship Management, Portfolio Management
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Lead the technical design and implementation of core agentic architectures and multi-agent workflows for generative AI applications. Ensure system performance, security, and the integration of scalable evaluation and observability frameworks.
Requires a Bachelor's degree with at least 6 years of experience in distributed computing and 4 years of programming in Python, Scala, or Java. Preferred candidates have advanced degrees and extensive experience with GenAI frameworks and LLM orchestration in production.
As a Capital One Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing Generative AI and advanced agentic systems at scale. You’ll lead the detailed technical design, development, and implementation of core agentic architectures and multi-agent workflows using emerging technologies. You’ll focus on system-level architectural design, develop and review complex models and application code, and ensure the high availability, performance, and security of our generative AI applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in generative and agentic machine learning engineering.
Architect Agentic Platforms: Design, develop, and scale core agentic engines and multi-agent workflow solutions, enabling seamless composition of conversational and business automation workflows.
Drive AI Evaluation & Trust: Build and integrate scalable evaluation (Evals) and observability frameworks into solutions to ensure model predictability, performance monitoring, and mitigation of model risk.
Deliver High-Impact Use Cases: Partner with cross-functional product and business teams to deploy production AI solutions, including next-generation consumer AI experiences, intelligent recommendation engines, and advanced conversational assistants.
Enforce Enterprise Guardrails: Ensure all AI/ML applications strictly adhere to robust data privacy standards, regulatory postures, and framework auditability/explainability.
Translate Practical Research: Stay abreast of practical advancements in LLM optimization, retrieval-augmented generation (RAG), and multi-agent design patterns, judiciously applying these novel techniques to production systems.
Technical Leadership & Code Excellence: Provide technical direction, architectural oversight, and rigorous code reviews for engineering teams, fostering a culture of modern engineering excellence.
Basic Qualifications:
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
Preferred Qualifications:
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
3+ years of experience with GenAI frameworks (e.g., LangChain, LangGraph, LlamaIndex) and Vector Databases
3 years of experience building, scaling, and optimizing Large Language Model (LLM) or GenAI orchestration systems in production
2+ years of experience building automated evaluations (Evals) and observability pipelines for LLMs
3+ years of on-the-job experience with an industry-recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
Experience deploying AI solutions within a strictly regulated environment, incorporating data privacy and model risk governance
Demonstrated ability to lead technical architecture design and provide deep technical guidance to engineering teams
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
ML industry impact through conference presentations, papers, blog posts, open-source contributions, or patents
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
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.
Plano, TX: $179,400 - $204,700 for 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’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’s Fair Chance Act; Philadelphia’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 [email protected]. 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 [email protected]
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).
At Capital One, we're making things better for our customers and associates through innovation and collaboration. We were founded on the belief that everyone deserves financial freedom—and are dedicated to a world where all have equal opportunity to prosper. Banking is in our DNA, but we are so much more than a bank. We always think about what’s next—and how we can bring our customers the tools needed to improve their financial lives. Your ideas, experiences and skills will help make banking better. You’ll be part of a supportive culture while earning amazing benefits. That’s life at Capital One. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. View our Social Media Community Guidelines https://www.capitalone.com/digital/social-media/
Offices: 1680 Capital One Drive, McLean, Va 22102, US · 8020 Towers Crescent Dr, Vienna, VA 22182, US · 2 Bethesda METRO Center, Bethesda, MD 20814, US
