ZipRecruiter

Log In

1

Reinforcement Learning Engineer Jobs in Missouri

Jobgether

Our partner is looking for a Research Engineer (Reinforcement Learning) based in Netherlands. Join a small, senior engineering team building the next generation of voice- and text-driven AI agents.

Walmart

Principal, Data Scientist (Pricing)

Anderson, MO · On-site

$110K - $220K/yr

You will work closely with data scientists, machine learning engineers, operations research ... learning, reinforcement learning), causal inference, experimentation, and statistics to solve ...

Walmart

Principal, Data Scientist (Pricing)

Noel, MO · On-site

$110K - $220K/yr

You will work closely with data scientists, machine learning engineers, operations research ... learning, reinforcement learning), causal inference, experimentation, and statistics to solve ...

Walmart

Principal, Data Scientist (Pricing)

Cassville, MO · On-site

$110K - $220K/yr

You will work closely with data scientists, machine learning engineers, operations research ... learning, reinforcement learning), causal inference, experimentation, and statistics to solve ...

Walmart

(USA) Director, Data Science

Cassville, MO · On-site

$130K - $260K/yr

This leader will manage a high-performing team of Data Scientists and Machine Learning Engineers ... Reinforcement learning * Optimization * Experimentation and A/B testing * Promote best practices in ...

Walmart

(USA) Director, Data Science

Noel, MO · On-site

$130K - $260K/yr

This leader will manage a high-performing team of Data Scientists and Machine Learning Engineers ... Reinforcement learning * Optimization * Experimentation and A/B testing * Promote best practices in ...

Walmart

(USA) Director, Data Science

Anderson, MO · On-site

$130K - $260K/yr

This leader will manage a high-performing team of Data Scientists and Machine Learning Engineers ... Reinforcement learning * Optimization * Experimentation and A/B testing * Promote best practices in ...

Imperial PFS

Senior Security AI Engineer

Kansas City, MO · On-site

$111K - $153K/yr

... reinforcement learning. Required Qualifications • 7+ years of experience in cybersecurity engineering, architecture, or related roles. • Strong knowledge of cloud security (AWS, Azure, or GCP ...

Walmart

(USA) Senior, Data Scientist

Cassville, MO · On-site

$90K - $180K/yr

Provide technical visionand lead advanced development in agentic AI, reinforcement learning, and ... Mentor senior scientists and engineers on advanced modeling techniques, feature engineering, and ...

Walmart

(USA) Senior, Data Scientist

Anderson, MO · On-site

$90K - $180K/yr

Provide technical visionand lead advanced development in agentic AI, reinforcement learning, and ... Mentor senior scientists and engineers on advanced modeling techniques, feature engineering, and ...

Walmart

(USA) Senior, Data Scientist

Noel, MO · On-site

$90K - $180K/yr

Provide technical visionand lead advanced development in agentic AI, reinforcement learning, and ... Mentor senior scientists and engineers on advanced modeling techniques, feature engineering, and ...

Walmart

Staff, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

Provide technical visionand lead advanced development in agentic AI, reinforcement learning, and ... Mentor senior scientists and engineers on advanced modeling techniques, feature engineering, and ...

Walmart

Staff, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

Provide technical visionand lead advanced development in agentic AI, reinforcement learning, and ... Mentor senior scientists and engineers on advanced modeling techniques, feature engineering, and ...

next page

Showing results 1-20

All JobsReinforcement Learning Engineer JobsReinforcement Learning Engineer Jobs in Missouri

Reinforcement Learning Engineer information

See Missouri salary details

$35.6K

$108.7K

$179.6K

How much do reinforcement learning engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for reinforcement learning engineer in Missouri is $108,681.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,900.00 and $142,100.00 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 are popular job titles related to Reinforcement Learning Engineer jobs in Missouri?

For Reinforcement Learning Engineer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Reinforcement Learning Engineer jobs in Missouri look for?

The top searched job categories for Reinforcement Learning Engineer jobs in Missouri are:

What cities in Missouri are hiring for Reinforcement Learning Engineer jobs?

Cities in Missouri with the most Reinforcement Learning Engineer job openings:

Reinforcement Learning Engineer jobs near you
Infographic showing various Reinforcement Learning Engineer job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $108,681 per year, or $52.3 per hour.

Research Engineer (Reinforcement Learning)

Jobgether

Remote

Full-time

Medical, Dental, Vision, PTO

Posted 13 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Research Engineer (Reinforcement Learning) based in Netherlands.

Join a small, senior engineering team building the next generation of voice- and text-driven AI agents.
You'll focus on post-training models to make agents more capable, reliable, and effective over long-running interactions.
Your work will span environments, verifiers, synthetic data, training experiments, evaluations, and production deployment.
You'll tackle challenging problems such as persistent context, reliable tool use, and multi-turn agent behavior.
The role combines hands-on research and engineering, with a strong emphasis on measurable improvements in model performance.
You'll work closely with experienced engineers in a remote, collaborative environment where technical craft and creativity are highly valued.
Your contributions will directly shape AI systems operating at significant production scale.

Accountabilities
  • Build training environments, verifiers, and supporting infrastructure for post-training models.
  • Own the synthetic data pipeline from data generation through quality assurance and validation.
  • Run end-to-end training experiments, analyze results, and clearly identify the factors driving model improvements.
  • Design and maintain evaluations that models must pass before production releases.
  • Select and adapt suitable open-weight foundation models for specific agent and product requirements.
  • Develop trained behaviors that perform consistently across both voice and text-based agents.
  • Deploy trained models to production and continuously improve them based on real-world usage and feedback.
  • Develop robust approaches to long-horizon interactions, accumulated context, and reliable tool use during live conversations.
Requirements:
  • Strong Python engineering skills and the ability to build reliable, production-quality systems.
  • Demonstrated experience taking a machine learning model from raw data through experimentation and into production.
  • A strong data-centric mindset, with attention to coverage, diversity, quality, and data leakage.
  • The ability to anticipate reward exploitation and design robust rewards, verifiers, and evaluation mechanisms.
  • Practical experience working with GPUs and a realistic understanding of their capabilities and limitations.
  • Strong judgment around when model training is the right solution-and when a simpler approach is preferable.
  • Ability to collaborate effectively within a remote, distributed, and highly autonomous team.
  • Experience with post-training techniques such as fine-tuning, reward design, or reinforcement learning, including approaches such as GRPO, is highly desirable.
  • Familiarity with RL and fine-tuning frameworks such as TRL, verl, OpenRLHF, or custom training loops is a plus.
  • Experience with technologies such as vLLM or SGLang for fast rollouts and FSDP for multi-GPU training is advantageous.
  • Experience training tool-using or multi-turn agents, as well as building execution sandboxes, verifiers, evaluation harnesses, or developer tooling, is valuable.
  • Familiarity with open-weight model families such as Qwen or Llama and techniques such as LoRA is a plus.
Benefits:
  • Opportunity to make a significant impact on a fast-growing developer platform and help shape its future.
  • Collaboration with a small, highly experienced team that values technical excellence, creativity, and ownership.
  • Competitive salary and equity package.
  • Health, dental, and vision benefits.
  • Flexible vacation policy.
  • Remote-friendly working environment with flexibility and autonomy.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
#LI-CL1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply