Raydar

Machine Learning Engineer

San Francisco
Salary
$210,000 - $325,000 per year
Level
Mid

Not stated in the posting: work type, visa.

Open. First seen 27 October 2026.

About the role

About the company

Our client is a fast-growing software company.

The role

Raydar is recruiting for this role on behalf of our client. Build and ship machine learning systems that move from prototype to production, covering model work, data pipelines and the services that run them. The role suits an engineer who can take an idea through to a working, reliable feature with limited direction.

What you'll do

- Build, integrate and deploy AI-powered services into production environments for business customers.

- Fine-tune, evaluate and apply machine learning models to practical problems.

- Design scalable pipelines for model training, inference and data processing.

- Improve the speed, capacity, cost and reliability of production AI systems.

- Work with large datasets and connect systems to internal tools and APIs.

- Work with product, research and design colleagues to deliver features end to end.

- Set up evaluation methods, monitoring and feedback loops for production AI systems.

Requirements

What we're looking for

- A Bachelor's or Master's degree in Computer Science, Engineering or a related field.

- Strong proficiency in Python and common engineering or machine learning frameworks.

- A track record of shipping software that runs live for real users.

- Working knowledge of data movement, service interfaces and hosted compute in a public cloud.

- Past hands-on work applying learned models or analytics-heavy software in practice.

- Two to six years of relevant experience.

- Prior work in a fast-paced startup setting, ideally as an early team member.

Bonus points

- Experience deploying or scaling machine learning systems at meaningful scale.

- Familiarity with large language models, agents or workflow automation.

- Exposure to multi-machine computing or high-volume backend platforms.

- Prior founding experience or end-to-end ownership of a product.

Benefits

Compensation and benefits

- Base salary: USD 210,000 to 325,000 per year

- Health insurance

- Retirement plan

Location and work model

- San Francisco, CA, United States

- On-site

- Full-time

What this role asks for

Standard for data science / ML roles

LLM · Machine Learning · Python

Common in data science / ML postings at any company.

Compared with Raydar's other open jobs.

Other openings for this role

11 open postings for this role in San Francisco, first posted 23 October 2026. The company is likely hiring for more than one position. None has been taken down and posted again.

Salary context

75 other open postings titled Machine Learning Engineer state a salary: median USD 160,000 to USD 225,000 a year.

See Machine Learning Engineer salaries in San Francisco →

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