ZipRecruiter

Log In

1

Rl Controls Jobs (NOW HIRING)

Reflex Robotics

Controls Engineer

New York, NY · On-site

$215K - $300K/yr

... intervention + RL product feedback loop. Our system allows us to collect high-quality ... What We're Looking For We are looking for controls engineers to join our team! We're still a small ...

PlusAI

Senior Research Engineer, Controls

Santa Clara, CA · On-site

$150K - $200K/yr

... controls to realize planned vehicle trajectories. Your responsibilities will include the ... approaches (DL/RL/IL) * Work cross-functionally with domain experts to implement data driven ...

PlusAI

Senior Research Engineer, Controls

Santa Clara, CA

$122K - $168K/yr

... controls to realize planned vehicle trajectories. Your responsibilities will include the ... approaches (DL/RL/IL) * Work cross-functionally with domain experts to implement data driven ...

FOCUS GROUP SERVICES LLC

Operations Leader

Lawton, OK · On-site

$22 - $24/hr

Controls food waste by having smaller batches of food cooked during slow periods and closing time. In the absence of the RL, performs all RL responsibilities. * Associate Relations/Work Safety:

next page

Showing results 1-20

People also search for

All JobsRl Controls Jobs

Rl Controls information

See salary details

$19

$33

$48

How much do rl controls jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for rl controls in the United States is $33.97, according to ZipRecruiter salary data. Most workers in this role earn between $28.85 and $37.98 per hour, depending on experience, location, and employer.

What is the difference between Rl Controls vs Electrical Controls Technician?

AspectRl ControlsElectrical Controls Technician
CertificationsTypically requires PLC programming, control system certificationsRequires electrical certifications, such as NICET or electrical trade licenses
Work EnvironmentIndustrial automation, manufacturing plants, control system installationIndustrial, commercial, or manufacturing settings focusing on electrical systems
Job ResponsibilitiesDesign, troubleshoot, and program control systems and PLCsInstall, 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 the key skills and qualifications needed to thrive as an RL Controls Engineer, and why are they important?

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 '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 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.
More about Rl Controls jobs
What cities are hiring for Rl Controls jobs? Cities with the most Rl Controls job openings:
What states have the most Rl Controls jobs? States with the most job openings for Rl Controls jobs include:
What job categories do people searching Rl Controls jobs look for? The top searched job categories for Rl Controls jobs are:
Rl Controls jobs near you
Infographic showing various Rl Controls job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $70,662 per year, or $34 per hour.

AI/ML Engineer(RL & Physical Systems)

Fluix AI

San Francisco, CA • On-site

Other

Medical, Dental, Vision

Posted yesterday

Job description

AI/ML Engineer (RL & Physical Systems)

FLUIX is building the AI Operating System for data centers. We deploy autonomous AI that optimizes, predicts, and controls AI factories.

Based in the San Francisco Bay Area, we develop intelligent control systems that enable data centers and power providers to operate faster, cleaner, and more efficiently.

Our mission is simple: help clients double their compute capacity without wasting resources.

We're hiring an AI/ML Engineer (or AI Scientist, depending on experience) with deep reinforcement learning and physics-based modeling expertise.

You'll design, test, and deploy models that interact with the physical world, from thermal systems to power distribution, where milliseconds and megawatts matter.

This is not a research-only position. Your work will touch real chillers, real cooling loops, and real megawatt-scale infrastructure.

Who You'll Work Closely With

Abhi Sastri

Founder & CEO

Chase Overcash

CTO

What You'll Do

  • Design, develop, and deploy reinforcement learning–based control policies for real-world physical systems (cooling, power, airflow, thermodynamics, etc.).

  • Build and refine digital twin and simulation environments to accelerate training, testing, and Sim2Real deployment.

  • Conduct lab-based and field-based experiments to validate model performance under noisy, dynamic, and safety-critical conditions.

  • Analyze telemetry, time-series, and sensor data to evaluate model reliability, interpret failure cases, and propose improvements.

  • Support integration of LLM-based tools and workflows into the AI control pipeline where relevant (knowledge distillation, inference orchestration, etc.).

  • Lead or contribute to scientific documentation: whitepapers, internal reports, and peer-reviewed publications.

  • Push the frontier of physical-world AI, where physics, reinforcement learning, and industrial automation meet.

  • Collaborate with controls, software, and field engineering teams to integrate models into production-scale data centers and energy systems.

Your Background

  • Bachelor's degree required in Computer Science, Mechanical/Electrical Engineering, Applied Physics, Controls, or related field.

    Master's or Ph.D. strongly preferred for the AI Scientist tier.

  • 2+ years of hands-on experience applying ML to real-world physical, robotic, industrial, or control systems.

  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow); experience with RL libraries.

  • Strong grounding in at least one of: control theory, model-predictive control (MPC), system identification, thermal/fluids, power systems, or industrial automation.

  • Experience working with telemetry/sensor data from PLCs, SCADA, IoT, or industrial control systems.

  • Familiarity with cloud or edge deployment (AWS/Azure, on-prem GPUs, embedded compute).

  • Ability to move between research, experimentation, and deployment at startup speed.

Bonus Points

  • Experience deploying AI in data centers, utilities, industrial automation, HVAC, or energy systems.

  • Experience with digital twins, physics engines (Modelica, Simulink, custom simulators).

  • Publications, patents, or open-source work in RL, controls, or applied physical AI.

  • Experience with Sim2Real transfer, safety-critical RL, or physics-informed ML.

  • Experience with LLMs, agentic AI workflows, or hybrid RL + LLM systems.

Culture Fit

  • You are energized by hard problems and high-stakes environments.

  • You want to touch hardware, not just notebooks.

  • You believe AI belongs in the physical world, not just on cloud GPUs.

  • You thrive in "build it, ship it, iterate" environments rather than academic cycles.

  • Due to our mission-critical work, you are eager to help teammates and co-workers during holidays, weekends, and emergencies.

  • You are cordial and over-communicate with teammates, co-workers, and management.

Benefits

Competitive Salary

Attractive compensation package, including equity options.

Benefits

Comprehensive health, dental, and vision insurance, along with other standard benefits.

Work Environment

A dynamic and collaborative San Francisco Bay Area work environment.

Growth Opportunities

Opportunities for professional growth and development, with the chance to shape the future of technology in the industry.

Apply