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Temporary Machine Learning Robotics Jobs in Santa Clara, CA

Jobtailor

ML Engineer - Robotics

Mountain View, CA · On-site

$150 - $200/hr

Experience with ROS or ROS2 and integrating ML models into robotics software stacks for live deployments. * 3-10 years of experience in machine learning, robotics, or computer vision. * Strong grasp ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

- Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Port, implement, and optimize analytics and machine learning algorithms using special purpose ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Port, implement, and optimize analytics and machine learning algorithms using special purpose ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

- Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Port, implement, and optimize analytics and machine learning algorithms using special purpose ...

Horizon Robotics

Research Scientist

Cupertino, CA · Hybrid

$150K - $300K/yr

We are looking for someone with expertise in and enthusiasm for machine learning research, especially in Robotics, Embodied AI, Reinforcement learning (RL) , etc. As a Research Scientist in the team ...

Horizon Robotics

Research Scientist

Cupertino, CA · On-site

$150K - $300K/yr

We are looking for someone with expertise in and enthusiasm for machine learning research, especially in Robotics, Embodied AI, Reinforcement learning (RL) , etc. As a Research Scientist in the team ...

Horizon Robotics

Research Scientist

Cupertino, CA · Hybrid

$150K - $300K/yr

We are looking for someone with expertise in and enthusiasm for machine learning research, especially in Robotics, Embodied AI, Reinforcement learning (RL) , etc. As a Research Scientist in the team ...

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Temporary Machine Learning Robotics information

See Santa Clara, CA salary details

$29.9K

$50K

$103.4K

How much do temporary machine learning robotics jobs pay per year?

As of Sep 8, 2026, the average yearly pay for temporary machine learning robotics in Santa Clara, CA is $50,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,200.00 and $54,000.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Machine Learning Robotics jobs in Santa Clara, CA?

The most popular types of Machine Learning Robotics jobs in Santa Clara, CA are:

Temporary Machine Learning Robotics jobs near you

ML Engineer - Robotics

Mountain View, CA • On-site

Jobtailor
See more jobs at Jobtailorexternal

$150 - $200/hr

Other

Posted 21 days ago

Job description

Responsibilities
  • Develop and optimize ML models for perception, motion planning, and control.
  • Build computer vision and sensor-fusion systems using camera, LiDAR, and IMU data.
  • Integrate learning-based models with robotics software stacks (ROS/ROS2).
  • Design pipelines for data collection, simulation, and reinforcement learning.
  • Collaborate with robotics and hardware engineers to deploy models in live environments.
  • Continuously evaluate model performance and robustness across diverse scenarios.
Requirements
  • Proficiency in Python and C++, with hands‑on experience using PyTorch and/or TensorFlow to build and deploy models.
  • Experience with ROS or ROS2 and integrating ML models into robotics software stacks for live deployments.
  • 3–10 years of experience in machine learning, robotics, or computer vision.
  • Strong grasp of robotics concepts such as localization, SLAM, control systems, and sensor fusion.
  • Experience with simulation environments (e.g., Gazebo, Isaac Sim, CARLA, MuJoCo, or PyBullet) for training, testing, or validation.
  • Familiarity with reinforcement learning, imitation learning, or adaptive control techniques applicable to robotics.
  • Experience deploying ML models in real‑time or embedded environments.
  • Nice to Have: Experience with on‑board/edge deployment and optimizing models for constrained hardware.
Core Competencies

Demonstrates expertise in developing and optimizing machine learning models for robotics applications, with a strong focus on computer vision, sensor fusion, and real‑time deployment. Proficient in integrating learning‑based models with robotics software stacks and evaluating model performance in diverse environments.

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