Machine Learning Engineer

Posted 6 Days Ago
Be an Early Applicant
San Francisco, CA, USA
In-Office
200K-325K Annually
Entry level
Professional Services • Consulting
The Role
Own machine learning models from experimentation through production. Train, evaluate, deploy, and integrate models for unstructured data, while building data flows and benchmarking tools. Partner with founders and customers on technical and product direction, and manage the full model lifecycle. The role emphasizes OCR, document understanding, vision-language models, computer vision, and large language models in a customer-facing, high-ownership software 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. Own machine learning models from early experimentation through to production use. Train, assess and ship models inside a software product while working closely with leadership and customers to guide technical direction.

What you'll do

- Train and deploy new models that interpret unstructured data.

- Try out novel techniques to raise model accuracy and create the tooling to measure whether they help.

- Set up the data flows, benchmarking and product integration that carry a model into production.

- Partner directly with founders and customers to influence product direction and engineering strategy.

- Carry models through the full lifecycle, from research to live use.


Requirements

What we're looking for

- Degree from a leading computer science or engineering program.

- Experience training, fine-tuning and evaluating machine learning models for production systems.

- Background in OCR and document understanding.

- Hands-on experience with vision-language models, classical computer vision or large language models.

- Track record of taking a model all the way to end users without handing it off unfinished.

- Strong attention to detail and a self-directed, high-ownership approach.

- Comfort holding technical conversations with customers.

Bonus points

- Authorship of well-cited research in vision, multimodal models or document understanding.

- Recent startup experience.


Benefits

Compensation and benefits

- Base salary: USD 200,000 to 325,000 per year

- Equity

- Health, dental and vision coverage

- Parental leave

- Flexible time off

Location and work model

- San Francisco, California, United States

- On-site, 5 days per week in office

- Full-time

Skills Required

  • Degree from a leading computer science or engineering program
  • Experience training, fine-tuning, and evaluating machine learning models for production systems
  • Background in OCR and document understanding
  • Hands-on experience with vision-language models, classical computer vision, or large language models
  • Track record of taking machine learning models through production to end users
  • Strong attention to detail and a self-directed, high-ownership approach
  • Comfort holding technical conversations with customers
  • Authorship of well-cited research in vision, multimodal models, or document understanding
  • Recent startup experience
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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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