Machine Learning Engineer

Posted One Month Ago
San Francisco, CA, USA
In-Office
165K-250K Annually
Mid level
Professional Services • Consulting
The Role
Build backend services, data pipelines, retrieval systems, and machine learning inference pipelines for large-scale video, audio, and text data. Integrate language and vision-language models into production, deploy secure distributed systems, and own projects from architecture through release. The role also requires clear technical communication, strong Python skills, backend scaling expertise, and comfort in a fast-paced startup environment.
Summary Generated by Built In

About the company

Our client is a fast-growing software company.

The role

Raydar is recruiting for this role on behalf of our client. Join as an early engineer working across backend services and applied machine learning. The role involves building data processing and retrieval systems and taking models into secure production environments, with broad ownership of how the pieces fit together.

What you'll do

- Build backend services and data pipelines that handle large volumes of video, audio and text.

- Develop retrieval pipelines that surface relevant information from large datasets.

- Integrate large language models and vision-language models into production applications.

- Deploy secure, distributed systems and machine learning inference pipelines.

- Take projects from initial architecture through to a live release, owning each stage.

- Explain system design choices and trade-offs clearly to colleagues and stakeholders.


Requirements

What we're looking for

- 3+ years of software engineering experience, ideally 2+ years in applied machine learning.

- Strong Python backend skills and familiarity with machine learning operations.

- Production experience deploying language or vision-language models, or custom inference pipelines.

- Solid working knowledge of scaling backend infrastructure.

- Strong technical communication skills.

- Comfort working in fast-paced, high-impact startup settings.

- Willingness to undergo a government background check.


Benefits

Compensation and benefits

- Base salary: USD 165,000 to 250,000 per year

- Equity

- Health and dental coverage

- Retirement plan with employer contribution

- Unlimited paid time off

Location and work model

- San Francisco, CA, United States or New York City, NY, United States

- On-site

- Full-time

Skills Required

  • 3+ years of software engineering experience
  • 2+ years of applied machine learning experience
  • Strong Python backend skills
  • Familiarity with machine learning operations
  • Production experience deploying language or vision-language models, or custom inference pipelines
  • Working knowledge of scaling backend infrastructure
  • Strong technical communication skills
  • Comfort working in fast-paced, high-impact startup settings
  • Willingness to undergo a government background check
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The Company
28 Employees
Year Founded: 2021

What We Do

Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.

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