Top 960 Machine learning engineer Jobs in Novato, Ca

Machine Learning Engineer II (Servicing ML)
Affirm —San Francisco, CA
- $146,000 - $225,000 a year
- Remote
- Writing skills
- Mid-level
- Bachelor's degree
- Employee stock purchase plan
- Health insurance
Machine Learning Engineer
Goliath Partners —San Francisco, CA
- $250,000 a year
- Research
- Mid-level
- APIs
AI Engineer
Campfire —San Francisco, CA
- $180,000 - $250,000 a year
- Full-time
- Mid-level
- Office
- Dental insurance
Machine Learning Engineer
Orchard Robotics —San Francisco, CA
- $135,000 - $210,000 a year
- Weekends as needed
- System design
- Mid-level
- Office
- Health insurance
- Dental insurance
Early Career Machine Learning Engineer, Applied AI
Brain Co. —San Francisco, CA
- Full-time
- Hybrid work
- Computer Science
- Sales
- Bachelor of Science
- Commuter assistance
- Paid parental leave
Machine Learning Engineer
Happy Elements —San Francisco, CA
- Full-time
- Computer science
- Computer Science
- Mid-level
Quick Apply
Senior Machine Learning Engineer, LLM Inference Optimization
Nebius —San Francisco, CA
- $195,200 - $262,200 a year
- Remote
- US work authorization
- APIs
- Senior level
- Disability insurance
- Health insurance
Quick Apply
3d
Machine Learning Engineer I
Handshake —San Francisco, CA
- $151,000 - $189,000 a year
- Full-time
- Azure
- Computer Science
- 3 years
- Paid parental leave
- Health insurance
Quick Apply
Machine Learning Engineer, Marketplace
Mercor —San Francisco, CA
- $130,000 - $500,000 a year
- Full-time
- Office
- Senior level
- Python
- Health insurance
- Dental insurance
Machine Learning Engineer
Latent —San Francisco, CA
- $225,000 - $300,000 a year
- Full-time
- System design
- Office
- Senior level
Machine Learning Engineer
Mariana Minerals —San Francisco, CA
- $120,000 - $160,000 a year
- Full-time
- Mid-level
- Python
- Commercial
Machine Learning Eval Engineer
Reducto —San Francisco, CA
- $150,000 - $300,000 a year
- Full-time
- Mid-level
- Office
- Dental insurance
- Parental leave
Senior Machine Learning Engineer
The Voleon Group —Berkeley, CA
- $290,000 - $395,000 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- System design
- Referral program
Early Career Software Engineer – Applied AI
Wonderschool —San Francisco Bay Area, CA
- $100,000 - $120,000 a year
- Computer Science
- Office
- AWS
- Health insurance
- Paid time off
Quick Apply
Machine Learning Engineer
Krea —San Francisco, CA
- Full-time
- Mid-level
Machine Learning Engineer
Hive —San Francisco, CA
- $120,000 - $180,000 a year
- Full-time
- Computer Science
- Mid-level
- SQL
Staff Machine Learning Engineer
Pinterest —San Francisco, CA
- $189,308 - $389,753 a year
- Computer science
- 7 years
- Computer Science
Machine Learning Engineer
Liftoff —San Francisco, CA
- $215,000 - $275,000 a year
- Remote
- Computer Science
- Doctor of Philosophy
- Travel
- Health insurance
- Dental insurance
Quick Apply
Staff Machine Learning Engineer, Platform & Production
Warner Bros. Discovery —San Francisco, CA
- $187,670 - $348,530 a year
- Full-time
- System design
- Java
- Databases
- Wellness program
- Paid holidays
Machine Learning Engineer
DocuSign —San Francisco, CA
- $158,300 - $266,000 a year
- Hybrid work
- 5 years
- Senior level
- Paid parental leave
- Paid holidays

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Machine Learning Engineer II (Servicing ML)

Affirm -
San Francisco, CA

Apply Now

Job Details

$146,000 - $225,000 a year

Benefits

Employee stock purchase plan
Health insurance
Dental insurance
Vision insurance

Qualifications

AI models
Gradient boosting machines
Software engineering
Image processing
Application systems
Digital imaging
Requirements design
Automation
Tooling
Writing skills
Mid-level
AI platforms (beyond public GPTs)
Computational framework
Prompt engineering
Production systems
Collaboration with product development teams
Machine intelligence
Bachelor's degree
Data pipeline scheduling
XGBoost
Model deployment
Airflow
Prototype creation
APIs
Decision tree analysis
Engineering product development
Model training
AI-driven automation
Business requirements
Machine learning frameworks

Full Job Description

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

On the Servicing ML team, you will build and improve machine learning and AI systems that automate customer operations such as disputes, returns, fraud, and chargebacks to make the best decisions for Affirm and our customers. You will work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring.

What you'll do

You will develop AI systems that automate dispute and chargeback handling using structured evidence and business logic, creating a better experience for our customers.

You will build models that automate refunds, getting money back to our customers faster.

You will build and maintain evidence extraction pipelines that process unstructured data using LLM-powered workflows to produce structured, actionable outputs.

You will prototype new modeling ideas, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls.

You will collaborate across Engineering, Servicing Operations, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences.

What we look for

You have a total of 2+ years of experience as a machine learning engineer

Strong Python skills and experience writing production-quality code

Experience building and evaluating models for tabular classification problems (preferably gradient-boosted decision trees like LightGBM/XGBoost/CatBoost).

Experience building applications with LLM APIs (e.g., OpenAI, Anthropic), including structured extraction, prompt engineering, and orchestration frameworks like LangChain or LangGraph.

Familiarity with document and unstructured data processing (PDF/image extraction, text parsing, or similar).

Experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, Airflow, MLflow, or equivalent internal platforms).

Proficient in using AI-powered developer tools (e.g., Claude Code, Cursor, or similar) to accelerate iteration, debugging, and code quality as part of day-to-day development workflows.

You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code.

You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.

Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.

You have strong verbal and written communication skills that support effective collaboration with our global engineering team.

This position requires either equivalent practical experience or a Bachelor's degree in a related field

Base Pay Grade - L
Equity Grade - 6

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

USA base pay range (CA, WA, NY, NJ, CT) per year: $165,000 - $225,000
USA base pay range (all other U.S. states) per year: $146,000 - $206,000

#LI-Remote

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We're extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:

Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It's On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Apply Now

Refine Your Search

machine learning engineer jobs in novato, ca

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