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Machine learning Jobs in Berkeley, CA
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Machine learning • berkeley ca
- Promoted
Machine Learning Engineer
Recruiting from ScratchSan Francisco, California, United States- New!
Machine Learning Researcher
InferenceSan Francisco, California, USA- Promoted
Machine Learning - Infrastructure
Causal Labs, Inc.San Francisco, CA, United States- Promoted
Machine Learning Engineer
AquabyteSan Francisco, California, United StatesMachine Learning Engineer
EPM ScientificSan Francisco, CA, USMachine Learning Manager
HiveSan Francisco, California, United States- Promoted
Machine Learning Engineer
Happy ElementsSan Francisco, California, United StatesMachine Learning Researcher
DoeSan Francisco, CA, United States- Promoted
Machine Learning Engineer
CiscoSan Francisco, California, United States- Promoted
Machine Learning Engineer
HealthLeap AISan Francisco, California, United States- Promoted
Machine Learning
VewotechnologiesSan Francisco, CA, United StatesMachine Learning Engineer
BaselayerSan Francisco, California, United StatesMachine Learning Engineer
Orchard RoboticsSan Francisco, California, United States- Promoted
Machine Learning Engineer
LMArenaSan Francisco, California, United States- Promoted
Machine Learning Engineer
Remedy RoboticsSan Francisco, CA, United StatesMachine Learning Engineer
Mariana MineralsSan Francisco, California, United States- Promoted
Machine Learning
Pantera CapitalSan Francisco, CA, United States- Promoted
Machine Learning Engineer
Capital OneSan Francisco, CA, United States- Promoted
Machine Learning Researcher
Prima MenteSan Francisco, CA, United StatesThe average salary range is between $ 125,000 and $ 200,000 year , with the average salary hovering around $ 152,500 year .
- software development manager (from $ 220,000 to $ 273,000 year)
- nuclear medicine (from $ 153,470 to $ 250,984 year)
- veterinarian (from $ 115,000 to $ 250,000 year)
- python developer (from $ 135,000 to $ 244,125 year)
- office administrative assistant (from $ 47,840 to $ 243,900 year)
- vp of engineering (from $ 68,428 to $ 237,500 year)
- embedded systems engineer (from $ 133,875 to $ 222,134 year)
- product director (from $ 157,500 to $ 220,750 year)
- applications engineer (from $ 149,709 to $ 218,500 year)
- startup (from $ 136,250 to $ 216,250 year)
- Grand Rapids, MI (from $ 177,531 to $ 240,706 year)
- Lansing, MI (from $ 109,700 to $ 240,100 year)
- Simi Valley, CA (from $ 136,688 to $ 235,450 year)
- Spokane Valley, WA (from $ 135,458 to $ 234,943 year)
- Charleston, SC (from $ 112,230 to $ 233,350 year)
- Chula Vista, CA (from $ 174,990 to $ 229,500 year)
- Fairfield, CA (from $ 151,875 to $ 227,500 year)
- Sunnyvale, CA (from $ 150,000 to $ 225,000 year)
- Hampton, VA (from $ 107,500 to $ 225,000 year)
- Wichita Falls, TX (from $ 145,250 to $ 223,751 year)
The average salary range is between $ 115,000 and $ 195,008 year , with the average salary hovering around $ 146,288 year .
Related searches
Machine Learning Engineer
Recruiting from ScratchSan Francisco, California, United States- Full-time
Company
We train models that predict how well someone will perform on a job better than a human can. Our platform sources, vets, and onboard expert contractors who help train AI models across a wide range of domains. The technology is used by the top five AI labs. We grew from a $1‑$500M run rate in the last 17 months, averaging 11% week‑over‑week growth in July, 18% in August, and 19% in September, and we maintain profitability while scaling quickly.
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. You’ll blend generalist backend engineering with applied machine learning, designing and deploying models, building scalable infrastructure, and collaborating with product and operations teams to solve real‑world problems.
Responsibilities
Research, train, and deploy production ML models (fraud / cheating detection, candidate engagement and conversion prediction, search / recommendation).
Build backend infrastructure and APIs to serve ML models at scale.
Collaborate with product engineers, sourcing / operations, and other teams to align models with business impact.
Run experiments, analyze results, and iterate quickly to improve model and product performance.
Wear multiple hats—sometimes data scientist, sometimes backend engineer—always a problem solver.
Qualifications
Strong background in backend engineering (Python / Django or similar).
Solid foundation in machine learning and statistics with production experience.
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 generalist engineer with curiosity and rigor to tackle diverse problems.
Pay & Benefits
Base cash compensation $130‑400k
Generous equity grant
$20K relocation bonus
$10K housing bonus
$1K / month food stipend
Free Equinox membership
Health insurance
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.
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