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Reinforcement Learning Engineer Jobs in Colton, CA

Behavior Therapist

Riverside, 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

Behavior Therapist

Riverside, 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

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

Create a supportive and structured learning environment by using positive reinforcement and ... Because of this programming schedule, this position requires a flexible schedule, with availability ...

Showing results 21-27

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:

Behavior Therapist

Sunny Days

Riverside, CA • On-site

$25 - $29/hr

Part-time

Medical, Dental, Vision, Retirement

Re-posted 17 days ago


Job description

Behavior Technician and RBT

Benefits:

  • Top Direct Service Rates Paid, Based on Experience & Education ($22-$24/hour for behavior therapist; $25-$29/hour for RBT)
  • Flexible Schedules & Locations of Your Choice
  • Eligible for Sign on bonus (up to $250 for BTs and $500 for RBTs)
  • Eligible for Direct Deposit
  • Eligible for Medical, Vision, Dental and Sick Time
  • May be Eligible to Participate in Sunny Days 401(k) plan
  • Paid Travel Time & Mileage Between Sessions
  • iPad provided for all Work Responsibilities
  • RBT Training Provided with an Hourly Rate Increase upon RBT Certification
  • Supportive and Positive Team Environment
  • Partnership with Capella University, Including 10% off Tuition and Additional Discounts/Scholarships for Degree Programs

Sunny Days of California is hiring part-time ABA and RBT Therapists to provide in-home services to children on the autism spectrum (up to 29 hours per week). We provide services from 8:00am-8:00pm with prime-time hours Monday through Friday in the late afternoons/evenings. Bilingual in Spanish is a PLUS!

Job Description:

  • Create a fun, motivating experience to generate a positive learning environment for every individual
  • Implement individualized applied behavior analysis (ABA) programming under the direction of a BCBA/supervisor
  • Use basic principles of ABA such as: reinforcement, prompting, fading, and shaping procedures
  • Implement strategies to encourage socialization and daily living skills
  • Effectively respond to and minimize difficult or disruptive behaviors by following the behavior intervention plan created by the BCBA/supervisor
  • Collect data on ABA programming targets and utilize an online system (Central Reach) to enter, track, and view progress

Position Requirements:

  • Bachelors Degree required with 1 year experience in Applied Behavior Analysis field preferred
  • Registered Behavior Technician (RBT certified), or RBT in process, is a PLUS
  • Experience working with children, especially those with autism using ABA methodologies
  • Candidates must be energetic, comfortable playing with children, and have a passion for helping youth achieve their true potential
  • Bilingual in Spanish a PLUS

For more information on Sunny Days of California, please visit our website www.sunnydays.com.

Sunny Days is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, disability, age or covered veteran status. We will consider for employment all qualified applicants, in a manner consistent with the requirements of applicable state and local laws.