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Overnight Machine Learning Testing Jobs in California

Machina Labs

$150 - $200/hr

Strong experience designing, building, training, and testing machine learning models end‑to‑end. * Proven ability to work with raw, unstructured, or incomplete data, including data collection ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

Strong experience designing, building, training, and testing machine learning models end-to-end. * Proven ability to work with raw, unstructured, or incomplete data, including data collection ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

Strong experience designing, building, training, and testing machine learning models end-to-end. * Proven ability to work with raw, unstructured, or incomplete data, including data collection ...

Hive

Machine Learning Manager

San Francisco, CA

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... testing, and deployment in production * Drive delivery for our product milestones, continually ...

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... testing, and deployment in production * Drive delivery for our product milestones, continually ...

Lyft

Machine Learning Engineer

San Francisco, CA · On-site

Understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning * Experience with translating state-of-the-art ML ...

Adobe, Inc.

Machine Learning Engineer 4

San Jose, CA · On-site

As a Senior Machine Learning Engineer (MLE 40), you will design, build, and deploy models that ... Experience designing and analyzing offline and online evaluations, including A/B testing and ...

Adobe

Machine Learning Engineer 4

San Jose, CA · On-site

As a Senior Machine Learning Engineer (MLE 40), you will design, build, and deploy models that ... Experience designing and analyzing offline and online evaluations, including A/B testing and ...

General Atomics

Machine Learning Engineer

Poway, CA · On-site

Completes programming and implements efficiencies, performs testing and debugging. * Completes ... Adapts machine learning to areas such as virtual reality, augmented reality, artificial ...

Lyft

Machine Learning Engineer

San Francisco, CA · On-site

Understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning * Experience with translating state-of-the-art ML ...

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Machine Learning Intern

San Francisco, CA • On-site

Droyd Robotics
See more jobs at Droyd Roboticsexternal

Internship

Re-posted 19 days ago

Job description

About the team
Droyd builds autonomous robotic systems that automate repetitive manual work in real environments. Our robots operate under tight compute, latency, and reliability constraints, so learning systems must work cleanly on real hardware.
Our AI team builds the models and inference systems that let robotic arms see, reason, and act. This work runs on deployed robots, not demos.
About the role
As a Machine Learning Intern at Droyd, you'll work directly on the learning and inference systems that power our robotic arms. You'll train models, run experiments, and help push research into production.
You'll work closely with AI researchers, software engineers, and hardware teams, and contribute to systems that ship to real robots.
This role is based in San Francisco, CA. We're an in-person company. We build faster that way.
In this role, you'll
  • Work across the ML stack, from training to inference
  • Train and evaluate models that run on low-payload robotic systems
  • Run experiments, analyze results, and document findings
  • Learn how model design, data quality, and hardware constraints affect real-world performance
  • Support deployment and testing of models on robotic hardware
We're looking for candidates who
  • Are current juniors or seniors (or equivalent) studying computer science, machine learning, AI, or a related field
  • Have coursework or hands-on experience training ML models using frameworks like PyTorch or JAX
  • Are willing to balance school and work in a fast-moving environment
  • Are curious about robotics and interested in how learning systems behave in the real world
  • Take ownership, ask good questions, and can carry projects forward with guidance
About Droyd
Droyd builds autonomous robotic systems to automate manual work for enterprises. We design the hardware, collect our own data, and train models that operate under real-world constraints.
If we do this right, robots become dependable tools people rely on every day.
Join us and help build systems that ship.

Apply