Job Details

Machine Learning Engineer

  2025-11-17     Recruiting from Scratch     San Francisco,CA  
Description:

Get AI-powered advice on this job and more exclusive features.

Recruiting from Scratch provided pay range

This range is provided by Recruiting from Scratch. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$130,000.00/yr - $500,000.00/yr

About the Company

We are training models that predict how well someone will perform on a job better than a human can. We use our platform to source, vet, and onboard expert contractors who help train AI models in a wide variety of domains. Our technology is so effective it's used by all of the top 5 AI labs.

We scaled from $1-500M in revenue run rate in the last 17 months, making us the fastest growing company in the world. Our growth is accelerating. We averaged 11% week over week growth in July, 18% WoW growth in August, and 19% WoW growth in September. The team is small and we remain profitable because we can't hire great people as quickly as revenue is growing.

About the Role

As a Machine Learning Engineer, you'll be a key contributor to the backbone of our core product: models and systems that power talent discovery, evaluation, and trust. From fraud detection to candidate-job matching to performance prediction, your work will directly impact how companies find talent and how people land their next opportunity.

This role blends generalist backend engineering with applied machine learning and statistical modelling. You'll work across the stack: designing and deploying models, building scalable infrastructure, and collaborating with product and operations teams to solve real-world problems.

What You'll Work On

  • Researching, training, and deploying ML models in production (e.g., fraud/cheating detection, candidate engagement and conversion prediction, search/recommendation).
  • Building backend infrastructure and APIs to serve ML models at scale.
  • Collaborating with product engineers, sourcing/operations, and other teams to align models with business impact.
  • Running experiments, analyzing results, and iterating quickly to improve model and product performance.
  • Wearing multiple hats, sometimes data scientist, sometimes backend engineer, always problem solver.

What We're Looking For

  • Strong background in backend engineering (Python/Django or similar).
  • Solid foundation in machine learning and statistics; experience applying ML in production.
  • Comfort with ambiguity and a willingness to work across domains.
  • Familiarity with LLMs, search/recommendation systems, or classification models is a bonus.
  • Above all: a strong generalist engineer with the curiosity and rigor to tackle diverse problems.

Why Join Us

  • Work on high-impact problems at the intersection of ML and talent discovery.
  • Own projects end-to-end in a fast-moving, high-autonomy environment.
  • Collaborate with a team of versatile engineers who are comfortable wearing many hats.
  • Contribute to a mission of empowering a billion people to find their next job.

Compensation

  • Base cash compensation $130-500k
  • Generous equity grant
  • $20K relocation bonus
  • $10K housing bonus
  • $1K/month food stipend
  • Free Equinox membership
  • Health insurance

Who is Recruiting from Scratch

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Engineering and Product Management
  • Software Development and Staffing and Recruiting

Industries

  • Software Development
  • Staffing and Recruiting

Referrals increase your chances of interviewing at Recruiting from Scratch by 2x

Get notified about new Machine Learning Engineer jobs in San Francisco, CA.

#J-18808-Ljbffr


Apply for this Job

Please use the APPLY HERE link below to view additional details and application instructions.

Apply Here

Back to Search