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Entry Level Machine Learning Robotics Jobs in California

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Robotics Software Engineer

Newark, CA · On-site

$90 - $100/hr

Machine Learning experience * Experience with Robot Path Planning * Experience with Software QA * Experience with Kuka, Omron, Fanuc and Universal Robots * Experience with implementing AI and ...

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Entry Level Machine Learning Robotics information

What is the difference between Entry Level Machine Learning Robotics vs Entry Level Data Scientist?

AspectEntry Level Machine Learning RoboticsEntry Level Data Scientist
Required CredentialsBachelor's in CS, Robotics, or related; knowledge of ML, programmingBachelor's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRobotics labs, manufacturing, research facilitiesCorporate offices, research firms, tech companies
Industry UsageManufacturing, automation, robotics developmentFinance, healthcare, tech, marketing
Common Search/ComparisonYesYes

Entry Level Machine Learning Robotics focuses on developing and programming robotic systems using machine learning techniques, often in manufacturing or research settings. Entry Level Data Scientist emphasizes analyzing data to inform business decisions across various industries. While both roles require programming and analytical skills, their work environments and applications differ significantly.

What are the most commonly searched types of Machine Learning Robotics jobs in California? The most popular types of Machine Learning Robotics jobs in California are:

Senior Staff Research Engineer - Reinforcement Learning for AI Agents

XPENG

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

Posted 18 days ago


Job description

Job Summary:
XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles. They are seeking exceptional Research Engineers / Scientists to design learning systems that allow agents to plan over long horizons and improve through experience.
Responsibilities:
• Reinforcement learning methods for LLM-driven agents and decision systems.
• Policy optimization for long-horizon reasoning and planning.
• Learning from human or AI feedback (RLHF / RLAIF).
• Agent training pipelines built on top of our agent infrastructure platform.
• Evaluation and benchmarking systems for agent capabilities.
• Learning loops that integrate real-world and simulation data.
• Contribute to AI systems that continuously improve after deployment.
Qualifications:
Required:
• MS or PhD in Computer Science, AI, Machine Learning, Robotics, or a related field.
• Strong background in reinforcement learning or machine learning.
• Experience implementing RL algorithms such as PPO, Actor-Critic, or policy gradient methods.
• Strong programming skills in Python with PyTorch or JAX.
• Experience building ML training systems or infrastructure.
Preferred:
• Experience with RLHF or preference learning.
• Experience with LLM agents or tool-using AI systems.
• Multi-agent systems or long-horizon planning.
• Simulation environments for RL.
• Publications in NeurIPS, ICML, ICLR, ACL, or related venues.
Company:
XPENG is a leading Chinese Smart EV company that designs, develops, manufactures, and markets Smart EVs that appeal to the large and growing base of technology-savvy middle-class consumers. Founded in 2014, the company is headquartered in Guangzhou, CHN, with a team of 10001+ employees. The company is currently Late Stage.