Data scientist jobs in Benicia, CA and nearby

Within 25 miles

Group jobs by employerEmail me new jobs Save this search

Added 1 month ago
AA
Member of Technical Staff - Machine Learning Engineer
Asari AI
San Francisco, CA
- $150,000 to $250,000 USD / year
…scalable, for research and production. You make agents work, from data processing, training, inference, evaluation, to other components. You work closely with research and product…
Added 1 month ago
Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)
Capital One
San Francisco, CA
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…
Added 1 month ago
Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)
Capital One
San Francisco, CA
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…
Added 1 month ago
Machine Learning Engineer 4
Capital One
San Francisco, CA
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…
Added 1 month ago
Machine Learning Engineer 5
Capital One
San Francisco, CA
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…
Added 1 month ago
Senior Manager, Machine Learning Engineer
Capital One
San Francisco, CA
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…
Added 1 month ago
BA
Data Scientist, Marketplace Incentives
Build AI
San Francisco, CA
- $180,000 to $280,000 USD / year
Build AI is the data hyperscaler for Physical AI. We're vertically integrated across hardware, manufacturing, logistics, collection, and model training to scale the physical labor dataset…
Added 1 month ago
Senior · Staff · Principal Machine Learning Engineer
Lead Allies Inc
San Francisco, CA
Working with data scientists, software engineers, and other stakeholders to deliver effective ML solutions.
Added 1 month ago
ML
Data Scientist, Bioengineering
Merge Labs
San Francisco, CA
- $120,000 to $215,000 USD / year
We need a Data-Scientist who can sit at the interface of Ultrasound, synthetic-biology, and research platforms (imaging, sequencing) and drive the development of rigorous data-analysis…
Added 1 month ago
ES
Member of Technical Staff, Machine Learning Engineer
Edison Scientific
San Francisco, CA
- $240,000 to $350,000 USD / year
Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. We are an ambitious team run by scientists and engineers from leading…
Added 1 month ago
C
Founding Machine Learning Engineer
Composite
San Francisco, CA
- $150,000 to $220,000 USD / year
- Build evaluation frameworks and data pipelines to measure and improve model quality at scale
Added 1 month ago
F
Machine Learning Engineer, Safety
fal
San Francisco, CA
- $180,000 to $250,000 USD / year
Added 1 month ago
I
Applied Machine Learning Engineer
Inference
San Francisco, CA
- $220,000 to $320,000 USD / year
…research and production engineering. You'll lead projects from data intake to trained model, building the infrastructure and tooling along the…
Added 1 month ago
K
Data Scientist
Koah
San Francisco, CA
- $180,000 to $250,000 USD / year
- Data: PostgreSQL, ClickHouse, Redis, Kafka, Python
Added 1 month ago
Machine Learning Engineer
Apiphany
San Francisco, CA
…and energy to transform mountains of unstructured technical data into real-time, actionable insights. Backed by world-class investors from Markforged, Databricks, GM, and Character, our…
Added 1 month ago
O
Machine Learning Engineer
OpenMind
San Francisco, CA
- $130,000 to $200,000 USD / year
Added 1 month ago
Founding Data Scientist
Sela AI
San Francisco, CA
- As our first data scientist, defining how data science is done at Sela and eventually the team we build.
Added 1 month ago
SI
Lead Data Scientist, Core, Level 6
Snap Inc.
San Francisco, CA
- $195,000 to $343,000 USD / year
To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week
Added 1 month ago
SI
Machine Learning Engineer, Level 5
Snap Inc.
San Francisco, CA
- $178,000 to $313,000 USD / year
To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week
Added 1 month ago
SI
Machine Learning Engineer, Level 4
Snap Inc.
San Francisco, CA
- $147,000 to $259,000 USD / year
To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week
Added 1 month ago
SI
Principal Machine Learning Engineer, Platform Integrity Engineering, Level 7
Snap Inc.
San Francisco, CA
- $235,000 to $414,000 USD / year
To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week
Added 1 month ago
Machine Learning Engineer
Mach Industries
San Francisco, CA
…Machine Learning Engineer, you will own and scale the training, data, and edge-inference backbone that every vision and multi-sensor model on our product lines depends on for detection,…
Added 1 month ago
Senior Machine Learning Engineer, Recommendations
Lyft
San Francisco, CA
Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role
Added 1 month ago
Senior Data Scientist, Algorithms, Lyft Biz
Lyft
San Francisco, CA
We are seeking a Senior Data Scientist to lead technical initiatives across the entire Lyft Business product suite. In this role, you will shape the technical vision, define algorithmic…
Added 1 month ago
Senior Data Scientist, Algorithm, Lyft Biz
Lyft
San Francisco, CA
We are seeking a Senior Data Scientist to lead technical initiatives across the entire Lyft Business product suite. In this role, you will shape the technical vision, define algorithmic…

Capital One

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

NY, United States
San Francisco, CA, United States
McLean, VA, United States
Richmond, VA, United States
Plano, TX, United States

Apply on capitalone.wd12.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Sep 21, 2026

Original job description

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

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.

Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices.

Team:

The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels.

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
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 4 years of experience programming with Python, Java, Golang, or C++
At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)
At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data
At least 2 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
3+ years of experience optimizing ML algorithms, configurations, and infrastructure
3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc.
3+ 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.
3+ 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)
3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.
1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation
Authored/co-authored a paper on a ML technique, model, or proof of concept

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any 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.

McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4

New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4

Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4

Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4

San Francisco, CA: $215,200 - $245,600 for Machine Learning Engineer 4

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 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).

Apply on capitalone.wd12.myworkdayjobs.com About employer

More about this job

Skills

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

Report this job

Hiring at a glance

Advertised starting pay

Where work happens

Data scientist jobs in Benicia, CA and nearby

Member of Technical Staff - Machine Learning Engineer