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Reinforcement Learning Engineer Jobs in Pittsburgh, PA

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related field. - Strong background in imitation learning and/or reinforcement learning. - Publications in top ...

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related field. - Strong background in imitation learning and/or reinforcement learning. - Publications in top ...

Artificial Intelligence Engineer

Pittsburgh, PA · Hybrid

$111K - $133K/yr

Conducts data analysis, preprocessing, training, testing, validating and feature engineering to ... unsupervised learning, reinforcement learning, and natural language processing/generation.

Staff AI Research Engineer

Pittsburgh, PA · On-site

$220K - $331K/yr

They will have experience at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring.

Artificial Intelligence Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Conducts data analysis, preprocessing, training, testing, validating and feature engineering to ... unsupervised learning, reinforcement learning, and natural language processing/generation.

They will have experience at multiple levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and ...

... reinforcement learning, planning and search, perception and prediction, simulation, foundation ... engineering excellence, ensuring high-quality, well structured and tested code. - Submit and ...

... reinforcement learning, planning and search, perception and prediction, simulation, foundation ... engineering excellence, ensuring high-quality, well structured and tested code. - Submit and ...

Research Scientist

Pittsburgh, PA · On-site

$100K - $300K/yr

You will collaborate with a team of talented researchers and engineers, and enhance our cohesive ... Deep technical knowledge, and research experience in deep learning, reinforcement learning ...

Research Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

Position Overview We are hiring Research Engineers to develop scalable robotic systems aimed at ... Deep technical knowledge, and research experience in deep learning, reinforcement and/or imitation ...

... agentic reinforcement learning, self-evolving multi-agent orchestration and collaboration ... Proficiency in ML and AI programming written in Python or/and web frontend programming written in ...

Showing results 21-40

Reinforcement Learning Engineer information

See Pittsburgh, PA salary details

$35.5K

$108.3K

$178.9K

How much do reinforcement learning engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for reinforcement learning engineer in Pittsburgh, PA is $108,267.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,600.00 and $141,600.00 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 Pittsburgh, PA?

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

What cities near Pittsburgh, PA are hiring for Reinforcement Learning Engineer jobs?

Cities near Pittsburgh, PA with the most Reinforcement Learning Engineer job openings:

Infographic showing various Reinforcement Learning Engineer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $112,483 per year, or $54.1 per hour.

Operations Analyst / Specialist

General Dynamics Mission Systems, Inc

Pittsburgh, PA • On-site

$106K - $115K/yr

Full-time

Posted 5 days ago


General Dynamics Mission Systems rating

8.1

Company rating: 8.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

113th of 247 rated software companies


Job description

Basic Qualifications
Requires a Bachelor's degree preferably in applied mathematics, statistics, data science, data analytics or equivalent combination of education and relevant work experience plus a minimum of 5 years of relevant experience or Master's degree in a related technical discipline plus a minimum of 3 years of relevant experience
CLEARANCE REQUIREMENTS:
Department of Defense TS/SCI security clearance is preferred at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.
Responsibilities for this Position
General Dynamics Mission Systems seeks an Operations Analyst / Specialist to develop digital wargames, mission analyses, and model-based systems- engineering artifacts supporting U.S. defense customers. This hands-on role emphasizes AFSIM, Cameo/MagicDraw, MBSE, and AI-enabled operational analysis.
Responsibilities
- Design and execute digital wargames, tabletop exercises, operational vignettes, and campaign-level analyses.
- Develop and analyze AFSIM scenarios assessing force employment, autonomous platforms, sensors, survivability, and mission outcomes.
- Build mission architectures, operational workflows, requirements models, and traceability artifacts using Cameo, MagicDraw, SysML, and MBSE.
- Incorporate AI, multi-agent systems, reinforcement learning, and LLM-enabled tools into wargaming and mission-analysis workflows.
- Translate sponsor questions into credible models, experiments, findings, and recommendations.
- Brief government sponsors and senior leadership on analytical results, assumptions, and decision implications.
Required Qualifications
- 5+ years of experience in operational analysis, defense modeling and simulation, systems engineering, mission engineering, or wargaming.
- Exposure and some experience with AFSIM and Python.
- Working experience with Cameo or MagicDraw, SysML,and.or MBSE related modeling, and requirements traceability.
- Active DoD Secret clearance.
- Strong written and verbal communication skills for technical and operational audiences.
Preferred Qualifications
- Experience with joint, maritime, ISR, autonomy, unmanned systems, or command-and-control missions.
- Experience with reinforcement learning, multi-agent AI, LLM evaluation, or digital decision-support tools.
- ROS 2, Isaac Sim, NVIDIA Omniverse, Docker, Git, and Linux experience.
- Experience supporting Navy, Marine Corps, Air Force, OSD, combatant command, or intelligence-community customers.
- Active TS/SCI or eligibility to obtain it.
Salary Note
This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
Combined Salary Range
USD $106,477.00 - USD $115,212.00 /Yr.
Company Overview
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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