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Added 3 mins ago
Mechanical Engineer
MAG
Titusville, FL
MAG Aerospace is seeking a hands-on Mechanical / Structural Design Engineer to support aircraft modification and integration work at its Titusville facility, including special-mission / ISR…
Added 4 mins ago
Product Development Engineer
Ford Motor Company
Sunrise, FL
p]:inline">Travel occasionally to support PCB assembly and fabrication efforts
Added 5 mins ago
C
Chief Bldg Engineer Supervisor
CBRE
Fort Myers, FL
- $43.27 to $45.67 USD / hour
Are you an experienced Building Engineer who enjoys solving complex problems, leading teams, and having variety in your work? CBRE is looking for a Chief Building Engineer Supervisor to…
Added 5 mins ago
B(
Field Service Engineer (Orlando, Melbourne, Jupiter FL)
BD (Becton, Dickinson and Company)
Pensacola, FL
- $28.2 to $45.1 USD / hour
The BD Pyxis Field Service Engineer (FSE) provides remote and on-site technical support for BD automated dispensing systems across the assigned region, including Department of Defense (DoD)…
Added 5 mins ago
Low Latency Trading Infrastructure Engineer
Citigroup
Jacksonville, FL
The Low Latency Trading Infrastructure Engineer is a rare combination of deep technical specialist and mission-critical operator - a professional whose expertise sits at the intersection of…
Added 6 mins ago
EG
Cloud Engineer
Eliassen Group
Tallahassee, FL
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 6 mins ago
EG
Databricks Data Engineer
Eliassen Group
Tallahassee, FL
- $150,000 to $154,000 USD / year
Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and…
Added 6 mins ago
EG
Senior Software Engineer
Eliassen Group
Orlando, FL
- $86.96 to $90.31 USD / hour
Our client seeks a Senior Software Engineer to design, build, and support integrations for an AI-enabled employee assistant that helps users find answers, request services, and complete HR…
Added 16 mins ago
M
Construction Project Engineer
Microsoft
WY · Cheyenne, WY · Cheyenne
- $97,600 to $206,400 USD / year
The Construction Project Engineer supports the planning, execution, and closeout of construction projects by ensuring timely coordination, documentation control, and stakeholder…
Added 23 mins ago
GI
Gameplay Tools Engineer
Gardens Interactive
Remote, United States
- $138,000 to $155,000 USD / year
As a Gameplay Tools Engineer, you will create custom Unreal Engine tools that support teams across the studio. You will partner with stakeholders to understand the unique needs of their…
Added 23 mins ago
GI
Lead Backend Engineer
Gardens Interactive
Remote, United States
- $196,000 to $203,000 USD / year
- Manage, mentor, and grow a team of backend engineers: set goals, run 1:1s, give feedback, and support career development.
Added 23 mins ago
GI
Gameplay Engineer
Gardens Interactive
Remote, United States
- $155,000 to $171,000 USD / year
As a Gameplay Engineer, you will craft tactile and immersive gameplay systems that will fuel the adventure and enable the stories within our games. You will partner with designers to…
Added 26 mins ago
M
Senior Emulation Engineer
Microsoft
CA · TX · WA · OR · NC · Mountain View, CA · Austin, TX · Redmond, WA · Hillsboro, OR · Raleigh, NC · Mountain View · Austin · Redmond · Hillsboro · Raleigh
- $119,800 to $261,000 USD / year
As a Senior Emulation Engineer on the AISiE SoC Design Verification team, develop complex, scalable verification environments optimized for emulation platforms to support functional,…
Added 27 mins ago
M
Senior Silicon Design Verification Engineer
Microsoft
CA · Mountain View, CA · Mountain View
- $119,800 to $261,000 USD / year
…and we are looking for a Senior Silicon Design Verification Engineer to help achieve that…
Added 37 mins ago
G
Manufacturing Engineer
GPAC
Charlotte, NC
- $90,000 to $120,000 USD / year
A medical device manufacturer specializing in injection molded components is hiring a Manufacturing Engineer to develop, transfer, validate, launch, and continuously improve manufacturing…
Added 42 mins ago
O
Lead Software Engineer - City
OKC
OKLAHOMA CITY, OK · Oklahoma City, OK
- $39.52 to $60.39 USD / hour
At the City of Oklahoma City, our Total Rewards package is designed to honor your service, fuel your growth, and support every part of your life. We offer:
Added 48 mins ago
Mechanial Engineer (R&D Engineer 2)
Los Alamos National Laboratory
Los Alamos, NM
…Group. The Group is seeking an early to mid-level R&D Mechanical Engineer to work closely with a diverse group of engineers, technologists and technicians on initiation train design, high…
Added 48 mins ago
Systems Engineer (R&D Engineer 2 or 3)
Los Alamos National Laboratory
Los Alamos, NM
Among other responsibilities, the Target Experimental and Support Team (AOT-OPS:TESTeam) spearheads the design, development, and construction of experimental end stations aimed at…
Added 48 mins ago
Linux Systems Engineer (Cybersecurity Technical Staff 2)
Los Alamos National Laboratory
Los Alamos, NM
The Special Security Operations IT & Cyber Group (SSO-3) is seeking a skilled and motivated Linux systems engineer to join our Linux Services Team. This team designs, deploys, and maintains…
Added 48 mins ago
Mechanical Engineer (R&D Engineer 2)
Los Alamos National Laboratory
Los Alamos, NM
…Group is seeking an early to mid-level R&D Optical/Mechanical Engineer to work closely with a diverse group of engineers, technologists and technicians on laser based initiation train…
Added 48 mins ago
Linux Systems Engineer (Cybersecurity Technical Staff 1)
Los Alamos National Laboratory
Los Alamos, NM
The Special Security Operations IT & Cyber Group (SSO-3) is seeking a motivated Linux Systems Engineer to join our Linux Services Team. This team supports, deploys, and maintains secure…
Added 48 mins ago
Mechanical Engineer (R&D Engineer 2)
Los Alamos National Laboratory
Los Alamos, NM
…Group. The Group is seeking an early to mid-level R&D Mechanical Engineer to work closely with a diverse group of engineers, technologists and technicians on initiation train design, high…
Added 48 mins ago
Control Account Manager (Science-Engineer Program Manager 2/3)
Los Alamos National Laboratory
Los Alamos, NM
As a Science-Engineer Program Manager 2-3 (SE-PM 2-3) within the Associate Laboratory Directorate for Weapons Production (ALDWP) you will manage control accounts within the Plutonium…
Added 48 mins ago
Quality Product Verifier (Quality Engineer 1/2)
Los Alamos National Laboratory
Los Alamos, NM
Join the Weapons Production Directorate at Los Alamos National Laboratory (LANL) as a Quality Engineer focusing on Quality Product Verification. LANL is a multidisciplinary research…
Added 48 mins ago
Early-Career R&D Electrical Engineer - System Test and Integration, Onsite
Sandia National Laboratories
Albuquerque, NM
We are seeking a highly motivated Electrical Engineer to join our ND system-level tester development team. This small, focused team is responsible for the design, development, and delivery…

Closed listing

Capital One

Machine Learning Engineer 5 (IC)

San Jose, CA, United States
San Francisco, CA, United States

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Experience: At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data
Posting language: English
Posted: Nov 3, 2026

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Original job description

Archived listing. The details below describe a past opening.

Machine Learning Engineer 5 (IC)

Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One.

What You’ll Do:

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:
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
Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale
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)
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 that enables state-of-the-art big data and ML applications
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, including test automation and monitoring, to ensure successful deployment of ML models and application code
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
Use programming languages like Python, Scala, or Java

Basic Qualifications:

Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)
At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data
At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems

Preferred Qualifications:

Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field
5+ years of experience optimizing ML algorithms, configurations, and infrastructure
5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc.
5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans
5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)
5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences

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.

McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5

New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5

Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5

San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5

San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5

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 (https://www.capitalonecareers.com/benefits) . 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 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).

About employer

More about this job

Skills

Machine learning
Data engineering
ML
Collaboration
CI/CD
Test automation
Programming languages
Python
Scala
Oracle Java
Computer science
Statistics
Research
Google Analytics
Go
C++
PyTorch
TensorFlow
NumPy
Scikit-learn
AWS
Google Cloud
Microsoft Azure
Kubernetes
Electrical engineering
Software development
Incident response
Presentation skills
Technical support
Recruitment

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