Machine learning engineer Jobs in Berkeley, CA
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Machine learning engineer • berkeley ca
Last updated: 2 days ago
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...Show moreLast updated: 25 days ago
Get AI-powered advice on this job and more exclusive features.Trusted by 2,200+ financial institutions, Baselayer is the intelligent business identity platform that helps verify any business, autom...Show moreLast updated: 28 days ago
Get AI-powered advice on this job and more exclusive features.This range is provided by Cubiq Recruitment.Your actual pay will be based on your skills and experience — talk with your recruiter to l...Show moreLast updated: 23 days ago
HealthLeap is an AI start-up revolutionizing healthcare through predictive analytics, initially focused on disease-related malnutrition—a critical form of patient deterioration affecting virtually ...Show moreLast updated: 30+ days ago
Machine Learning Engineer Location : San Francisco, CA.Build, maintain, and improve efficient and reliable data mining and machine learning models.
Design, implement and tune machine learning models,...Show moreLast updated: 7 days ago
About Remedy Robotics Cardiovascular disease is the #1 cause of morbidity and mortality in the world.Much of this could be prevented with better access to specialist care.
Take stroke as an example : ...Show moreLast updated: 3 days ago
About Canals Canals is a fully remote, profitable startup transforming the industrial supply chain ($10T industry) with AI.
Our platform seamlessly integrates with the systems distributors already u...Show moreLast updated: 21 days ago
Machine Learning Engineer at HealthLeap AI Join to apply for the Machine Learning Engineer role at HealthLeap AI.HealthLeap builds AI that helps clinicians prioritize patients, surfaces the right d...Show moreLast updated: 19 days ago
Role Overview Join an applied research team advancing the state of the art in Video AI for real‑world perception systems.
We operate at the intersection of computer vision research and large‑scale p...Show moreLast updated: 7 days ago
Youll be responsible for software and machine learning model development of our on-camera and cloud software.Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquacultu...Show moreLast updated: 29 days ago
Hybrid - San Francisco - $170k - $200k plus equity.This early-stage Speech Technology startup is developing the next wave of ML technology in the real-time speech synthesis sector.They have develop...Show moreLast updated: 2 days ago
Job Overview At Advex, we’re working on solving the hardest problem in all of computer vision – data collection.In order to train a reliable AI model, you need access to the right training data.The...Show moreLast updated: 20 days ago
Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst.We're securing America’s food supply by building the AI farmer that automates our nation’s farms.We've rai...Show moreLast updated: 30+ days ago
Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning.
Through unparalleled curriculum...Show moreLast updated: 30+ days ago
Mariana Minerals is looking for a highly motivated Machine Learning Engineer to work on building the critical minerals supply chain.
As a Machine Learning Engineer at Mariana Minerals, you will lead...Show moreLast updated: 30+ days ago
Onyx is a popular open source project with hundreds of thousands of users.The project has over 10K stars and over 3K community members across Slack and Discord (these stats may already be out of da...Show moreLast updated: 30+ days ago
Machine Learning Engineer – LMArena Join to apply for the.About LMArena LMArena is the open platform for evaluating how AI models perform in the real world.
Created by researchers from UC Berkeley’s...Show moreLast updated: 18 days ago
Bachelor’s Degree • At least 2 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) • At least 2 years of experience ...Show moreLast updated: 19 days ago
Apiphany is a pioneering foundational AI company for physical product development.We empower global innovators in automotive, aerospace, medtech, and energy to transform mountains of unstructured t...Show moreLast updated: 30+ days ago
- Promoted
Machine Learning Engineer
Recruiting from ScratchSan Francisco, California, United StatesFull-time
- Promoted
Machine Learning Engineer
BaselayerSan Francisco, California, United StatesFull-time
- Promoted
Machine Learning Engineer
Cubiq RecruitmentSan Francisco, California, United StatesFull-time
- Promoted
Machine Learning Engineer
HealthLeapSan Francisco, CA, United StatesFull-time
- Promoted
Machine Learning Engineer
Happy ElementsSan Francisco, California, United StatesFull-time
- Promoted
Machine Learning Engineer
Remedy RoboticsSan Francisco, California, United StatesPermanent
- Promoted
Machine Learning Engineer
CanalsSan Francisco, California, United StatesFull-time
- Promoted
Machine Learning Engineer
HealthLeap AISan Francisco, California, United StatesFull-time
- Promoted
Machine Learning Engineer
CiscoSan Francisco, California, United StatesFull-time
Machine Learning Engineer
AquabyteSan Francisco, California, USAFull-time
- Promoted
Machine Learning Engineer
LumicitySan Francisco, California, United StatesFull-time
- Promoted
Machine Learning Engineer
OpenReqSan Francisco, California, United StatesFull-time
Machine Learning Engineer
Orchard RoboticsSan Francisco, California, United StatesFull-time
Machine Learning Engineer
KiddomSan Francisco, California, United StatesFull-time +1
Machine Learning Engineer
Mariana MineralsSan Francisco, California, United StatesFull-time
Machine Learning Engineer
OnyxSan Francisco, California, United StatesFull-time
- Promoted
Machine Learning Engineer
LMArenaSan Francisco, California, United StatesPermanent
- Promoted
Machine Learning Engineer
Capital OneSan Francisco, CA, United StatesPart-time
- Promoted
Machine Learning Engineer
Apiphany CorporationSan Francisco, CA, United StatesFull-time
The average salary range is between $ 117,000 and $ 200,000 year , with the average salary hovering around $ 165,000 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)
- Lansing, MI (from $ 114,400 to $ 241,000 year)
- Cedar Rapids, IA (from $ 131,250 to $ 240,706 year)
- Grand Rapids, MI (from $ 133,750 to $ 240,706 year)
- Kent, WA (from $ 109,500 to $ 238,773 year)
- Simi Valley, CA (from $ 145,000 to $ 235,450 year)
- Spokane Valley, WA (from $ 145,000 to $ 235,450 year)
- Sunnyvale, CA (from $ 154,550 to $ 230,000 year)
- Bellevue, WA (from $ 140,000 to $ 229,250 year)
- Wichita Falls, TX (from $ 159,200 to $ 226,625 year)
- Austin, TX (from $ 144,900 to $ 225,000 year)
The average salary range is between $ 124,693 and $ 200,000 year , with the average salary hovering around $ 154,997 year .
Machine Learning Engineer
Recruiting from ScratchSan Francisco, California, United States25 days ago
Job type
- Full-time
Job description
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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