$150 - $200/hr
Advance the Frontier: Design and implement state-of-the-art robot learning algorithms (RL ... Deep understanding of classical robotics (controls, state estimation) to complement learning-based ...
$150 - $200/hr
Advance the Frontier: Design and implement state-of-the-art robot learning algorithms (RL ... Deep understanding of classical robotics (controls, state estimation) to complement learning-based ...
$220 - $292/hr
... controls, estimation, and secure communications. ABOUT THE JOB We are looking for a founding Staff ... RL agents) in both cloud environments and air-gapped, offline tactical edge networks. You will be a ...
$220 - $292/hr
... controls, estimation, and secure communications. ABOUT THE JOB We are looking for a founding Staff ... RL agents) in both cloud environments and air-gapped, offline tactical edge networks. You will be a ...
Rl Controls information
What is RL Controls?
'RL Controls' typically refers to Reinforcement Learning (RL) Controls, which involve using reinforcement learning algorithms to design controllers that optimize the behavior of dynamic systems. In this field, agents learn to make decisions by interacting with environments to maximize cumulative rewards or minimize costs over time. RL Controls are increasingly used in robotics, autonomous vehicles, industrial automation, and other areas where adaptive, data-driven control strategies are valuable. Professionals in this area need a strong foundation in control theory, machine learning, and programming.
What are the key skills and qualifications needed to thrive as an RL Controls engineer?
To thrive as an RL Controls Engineer, you need a solid background in control systems engineering, robotics, and automation, usually supported by a degree in electrical, mechanical, or mechatronics engineering. Familiarity with PLC programming, SCADA systems, HMI software, and relevant certifications like Siemens or Allen-Bradley are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in troubleshooting and collaborating with cross-functional teams. These skills and qualifications ensure the safe, efficient, and reliable operation of automated systems in industrial environments.
What are some common challenges faced by RL Controls engineers when integrating new automation systems into existing manufacturing environments?
RL Controls Engineers often encounter challenges such as ensuring compatibility between new automation systems and legacy equipment, minimizing downtime during integration, and troubleshooting unforeseen issues during commissioning. Collaboration with cross-functional teams, including mechanical, electrical, and IT departments, is crucial to address these challenges effectively. A proactive approach to documentation and thorough testing helps ensure a smooth transition and long-term reliability of the control systems.
What is the difference between Rl Controls vs Electrical Controls Technician?
| Aspect | Rl Controls | Electrical Controls Technician |
|---|---|---|
| Certifications | Typically requires PLC programming, control system certifications | Requires electrical certifications, such as NICET or electrical trade licenses |
| Work Environment | Industrial automation, manufacturing plants, control system installation | Industrial, commercial, or manufacturing settings focusing on electrical systems |
| Job Responsibilities | Design, troubleshoot, and program control systems and PLCs | Install, maintain, and repair electrical control panels and systems |
Rl Controls and Electrical Controls Technicians both work in industrial environments and require knowledge of control systems. Rl Controls specialists focus more on programming and system integration, while Electrical Controls Technicians handle electrical wiring and hardware. Both roles are essential in automation and manufacturing industries, often overlapping but with distinct technical focuses.
What are popular job titles related to Rl Controls jobs in Kentucky?
For Rl Controls jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Rl Controls jobs in Kentucky look for?
The top searched job categories for Rl Controls jobs in Kentucky are:
What cities in Kentucky are hiring for Rl Controls jobs?
Cities in Kentucky with the most Rl Controls job openings:
Research Engineer/ Scientist Redwood City, CA Fulltime
On-site
Dyna Robotics, Inc
$150 - $200/hr
Other
Posted 11 days ago
Job description
Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model with top-in-industry generalization and real-world performance. Already deployed with customers across multiple industries, our robots do commercial-grade work in the physical world. Our team comes from Google DeepMind, Meta, and Cruise, and we're backed by CRV, First Round, and other leading investors.
The RoleAs a Research Engineer on the AI Research team, you will own the end-to-end loop of Embodied AI. You will leverage our massive, "in-the-wild" multimodal datasets to develop models that don’t just move - they generalize, self-improve, and redefine what is possible in unstructured human environments.
What You’ll Do-
Advance the Frontier: Design and implement state-of-the-art robot learning algorithms (RL, Imitation Learning, Diffusion) for complex, high-DOF manipulation tasks.
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VLA & Video Generation: Architect and scale multi-modal foundation models (VLMs/VLAs) and leverage generative video architectures to enhance world-modeling and robot foresight.
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End-to-End Ownership: Own the full research-to-production pipeline: from task definition and data curation to large-scale training and real-time deployment on physical hardware.
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Physical-World Evaluation: Move beyond the benchmark. You will evaluate and iterate on models using our expanding robot fleet, ensuring commercial-grade performance in dynamic customer environments.
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Collaborative Leadership: Work at the intersection of AI, Hardware, and Teleop teams to enhance the "Intelligence-per-Watt" of our robotic systems.
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Research Excellence: A PhD (preferred) or Master’s in CS/Robotics with a significant publication record in top-tier conferences (RSS, CoRL, ICRA, NeurIPS, CVPR, or ICLR).
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5+ Years of Mastery: Deep experience in AI and robotics research, specifically in deploying deep learning models onto physical robots (not just simulation).
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Generative AI Expertise: Hands-on experience with Vision-Language-Action (VLA) models, Video Generation, or large-scale transformer architectures.
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Technical Stack: Mastery of Python and PyTorch (or JAX). Familiarity with simulation stacks like MuJoCo, Isaac, or Drake.
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High-Quality Code: The ability to write maintainable, production-ready research code that scales across GPU clusters.
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Experience with founding-stage startups or leading small, elite research teams.
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Deep understanding of classical robotics (controls, state estimation) to complement learning-based approaches.
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Experience profiling and optimizing foundation models for low-latency inference on edge devices.
At Dyna Robotics, we build technology for the real world, which requires a team as diverse as the environments our robots inhabit.
We are an equal opportunity employer committed to technical rigor and mutual respect.
Don’t let a checklist stop you.
Data shows that underrepresented groups often only apply if they meet 100% of the criteria.
We value problem-solving and grit over keyword matching.
If you’re passionate about the intersection of geometry and robotics, we want to hear from you—even if you don't check every box.