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Reinforcement Learning Engineer Jobs in Colton, CA

Sunny Days

Behavior Therapist

Victorville, CA · On-site

$25 - $29/hr

Create a fun, motivating experience to generate a positive learning environment for every ... Use basic principles of ABA such as: reinforcement, prompting, fading, and shaping procedures

Sunny Days

Behavior Therapist

Fontana, CA · On-site

$25 - $29/hr

Create a fun, motivating experience to generate a positive learning environment for every ... Use basic principles of ABA such as: reinforcement, prompting, fading, and shaping procedures

Sunny Days

Behavior Therapist

San Jacinto, CA · On-site

$25 - $29/hr

Create a fun, motivating experience to generate a positive learning environment for every ... Use basic principles of ABA such as: reinforcement, prompting, fading, and shaping procedures

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All JobsReinforcement Learning Engineer JobsReinforcement Learning Engineer Jobs in Colton, CA

Reinforcement Learning Engineer information

See Colton, CA salary details

$38.8K

$118.4K

$195.7K

How much do reinforcement learning engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for reinforcement learning engineer in Colton, CA is $118,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $154,800.00 per year, depending on experience, location, and employer.

What is a reinforcement learning engineer?

Reinforcement Learning Engineers are specialized professionals who design, develop, and implement algorithms based on reinforcement learning, a type of machine learning where agents learn to make decisions by receiving rewards or penalties. They work on building models that enable machines to learn optimal actions through trial and error in complex environments. Their responsibilities often include developing RL architectures, tuning hyperparameters, running simulations, and applying RL methods to real-world problems like robotics, gaming, or recommendation systems. RL Engineers typically have strong backgrounds in computer science, mathematics, and deep learning, along with experience in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What are some common challenges faced by reinforcement learning engineers when deploying models in real-world environments?

One of the main challenges Reinforcement Learning (RL) Engineers face is bridging the gap between simulation and real-world deployment. Models that perform well in controlled environments may struggle with unpredictable data, safety constraints, or limited feedback in production. Additionally, RL algorithms often require significant computational resources and careful tuning to avoid instability. Collaboration with domain experts and software engineers is essential to address these issues and ensure successful integration of RL solutions into existing systems.

What are the key skills and qualifications needed to thrive as a reinforcement learning engineer, and why are they important?

To thrive as a Reinforcement Learning Engineer, you need a strong background in machine learning, mathematics (especially probability and statistics), and programming languages like Python, often supported by a relevant degree in computer science or engineering. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), RL libraries (like OpenAI Gym), and cloud computing platforms is typically required. Problem-solving skills, creativity, and effective collaboration help set outstanding engineers apart in this field. These competencies enable the design and deployment of advanced RL solutions that address real-world challenges and drive innovation.

What is the difference between Reinforcement Learning Engineer vs Machine Learning Engineer?

AspectReinforcement Learning EngineerMachine Learning Engineer
CredentialsBachelor's/Master's in CS, AI, or related; experience with RL frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on RL applicationsTech companies, data-driven firms, AI departments across industries
Industry UsageSpecialized in RL projects like robotics, game AI, autonomous systemsBroader applications including predictive modeling, NLP, computer vision

Reinforcement Learning Engineers focus on developing algorithms that learn through interactions with environments, often in robotics or gaming. Machine Learning Engineers work on a wider range of models and applications. While both roles require strong programming and math skills, RL Engineers specialize in sequential decision-making, whereas ML Engineers handle diverse data-driven tasks across industries.

What cities near Colton, CA are hiring for Reinforcement Learning Engineer jobs?

Cities near Colton, CA with the most Reinforcement Learning Engineer job openings:

Reinforcement Learning Engineer jobs near you

Flag Football After School Program Educator - San Bernardino

HOKALI

San Bernardino, CA • On-site

$50/hr

Full-time

Posted 13 days ago

Job description

About HOKALI

At HOKALI, we simplify how schools book, organize, and manage after-school programs and camps. Our platform helps schools find and book a wide variety of onsite programs to supplement learning and enrich students' extracurricular experiences. We believe every child deserves the opportunity to explore their interests and reach their full potential.

About the Role

We’re looking for enthusiastic and dedicated individuals to join our growing team as After School Enrichment Educators.

This role focuses on supervising and engaging students during after-school enrichment programming. It’s ideal for educators who enjoy a dynamic environment and are passionate about creating safe, engaging, and supportive learning experiences.

We're Actively Seeking Instructors with Flag Football experience.

Schedule: Tuesdays and Thursdays from 3.30 - 4.30PM

Start Date: September 14 /November 16

Compensation: $50 p/hr.

In this role, you will:
  • Supervise students from Transitional Kindergarten (TK) through 8th grade
  • Ensure student safety and well-being at all times
  • Plan and lead engaging recreational and enrichment activities
  • Facilitate positive social interactions and encourage teamwork
  • Effectively manage student behavior using positive reinforcement
  • Maintain accurate attendance and incident records
  • Prepare and organize activity materials, keeping spaces clean and safe

Requirements

  • 18+ years of age
  • Ability and willingness to complete 3 hours of online training
  • Strong interpersonal and communication skills

Benefits

  • Competitive compensation
  • Flexible scheduling based on your availability and preferences
  • Access to the HOKALI Academy – a community space designed to help all Educators learn, connect, and collaborate
  • Structured lesson plans provided, with flexibility to bring your own ideas to class
  • Opportunities for professional growth and expanded roles within HOKALI
  • Educator Referral Program with bonus incentives