AI Scientist
Mundelein, IL · On-site
Experience developing, training or evaluating large deep learning models * Strong programming ... Reinforcement Learning * Large-Scale Distributed Training * Single-Cell Foundation Models Why Join
AI Scientist
Mundelein, IL · On-site
Experience developing, training or evaluating large deep learning models * Strong programming ... Reinforcement Learning * Large-Scale Distributed Training * Single-Cell Foundation Models Why Join
... Network Engineering and Security, and Software Engineering. Find out more about SoC at ... learning, natural language processing, reinforcement learning, robotics and computer vision.
... Network Engineering and Security, and Software Engineering. Find out more about SoC at ... learning, natural language processing, reinforcement learning, robotics and computer vision.
Research Engineer - Post-Training & Small Language Models (SLMs), Healthcare AI
Chicago, IL · On-site
Research Engineer - Post-Training & Small Language Models (SLMs), Healthcare AI Three hundred fifty ... reinforcement learning / alignment workflows. Build and optimize training using techniques such as ...
Research Engineer - Post-Training & Small Language Models (SLMs), Healthcare AI
Chicago, IL · On-site
Research Engineer - Post-Training & Small Language Models (SLMs), Healthcare AI Three hundred fifty ... reinforcement learning / alignment workflows. Build and optimize training using techniques such as ...
AV Simulation Domain Expert (Sr. Principal) - US (Remote) or Chicago, IL
Chicago, IL · On-site +1
$170K - $250K/yr
Serve as a trusted technical advisor to engineering and business leaders, translating complex AI ... Background in reinforcement learning, end-to-end driving systems, or multi-agent simulation.
AV Simulation Domain Expert (Sr. Principal) - US (Remote) or Chicago, IL
Chicago, IL · On-site +1
$170K - $250K/yr
Serve as a trusted technical advisor to engineering and business leaders, translating complex AI ... Background in reinforcement learning, end-to-end driving systems, or multi-agent simulation.
Postdoctoral Appointee - Materials Informatics and Autonomous Synthesis
Lemont, IL · On-site
$72K - $121K/yr
Experience with active learning, Bayesian optimization, adaptive experimental design, reinforcement ... descriptor engineering, RDKit, characterization-informed modeling, multimodal data fusion ...
Postdoctoral Appointee - Materials Informatics and Autonomous Synthesis
Lemont, IL · On-site
$72K - $121K/yr
Experience with active learning, Bayesian optimization, adaptive experimental design, reinforcement ... descriptor engineering, RDKit, characterization-informed modeling, multimodal data fusion ...
Providing Engineering Services for AWS, coordinating engagement strategies, and qualifying ... learning, unsupervised learning, reinforcement learning, deep learning, and natural language ...
Providing Engineering Services for AWS, coordinating engagement strategies, and qualifying ... learning, unsupervised learning, reinforcement learning, deep learning, and natural language ...
Providing Engineering Services for AWS, coordinating engagement strategies, and qualifying ... learning, unsupervised learning, reinforcement learning, deep learning, and natural language ...
Providing Engineering Services for AWS, coordinating engagement strategies, and qualifying ... learning, unsupervised learning, reinforcement learning, deep learning, and natural language ...
Postdoctoral Appointee - Materials Informatics and Autonomous Synthesis
Lemont, IL · On-site
$72K - $121K/yr
Experience with active learning, Bayesian optimization, adaptive experimental design, reinforcement ... descriptor engineering, RDKit, characterization-informed modeling, multimodal data fusion ...
Postdoctoral Appointee - Materials Informatics and Autonomous Synthesis
Lemont, IL · On-site
$72K - $121K/yr
Experience with active learning, Bayesian optimization, adaptive experimental design, reinforcement ... descriptor engineering, RDKit, characterization-informed modeling, multimodal data fusion ...
Collaborate with engineering teams to deploy, experimentally evaluate, and productionize these ... Familiarity with reinforcement learning and causal machine learning Benefits & Compensation for U.S.
Collaborate with engineering teams to deploy, experimentally evaluate, and productionize these ... Familiarity with reinforcement learning and causal machine learning Benefits & Compensation for U.S.
Collaborate with engineering teams to deploy, experimentally evaluate, and productionize these ... Familiarity with reinforcement learning and causal machine learning Benefits & Compensation for U.S.
Collaborate with engineering teams to deploy, experimentally evaluate, and productionize these ... Familiarity with reinforcement learning and causal machine learning Benefits & Compensation for U.S.
Assistant Scientist - AI for Autonomous Synthesis and Multimodal Characterization
Lemont, IL · On-site
$94K - $147K/yr
Strong programming skills, especially inPython, including integration withexperimental control ... Generative models, reinforcement learning, or agentic AI approachesfor materials discovery and ...
Assistant Scientist - AI for Autonomous Synthesis and Multimodal Characterization
Lemont, IL · On-site
$94K - $147K/yr
Strong programming skills, especially inPython, including integration withexperimental control ... Generative models, reinforcement learning, or agentic AI approachesfor materials discovery and ...
Assistant Scientist - AI for Autonomous Synthesis and Multimodal Characterization
Lemont, IL · On-site
Strong programming skills, especially in Python, including integration with experimental control ... Generative models, reinforcement learning, or agentic AI approaches for materials discovery and ...
Assistant Scientist - AI for Autonomous Synthesis and Multimodal Characterization
Lemont, IL · On-site
Strong programming skills, especially in Python, including integration with experimental control ... Generative models, reinforcement learning, or agentic AI approaches for materials discovery and ...
Collaborate with engineering teams to deploy, experimentally evaluate, and productionize these ... Experience in reinforcement learning and causal machine learning Benefits & Compensation for U.S.
Collaborate with engineering teams to deploy, experimentally evaluate, and productionize these ... Experience in reinforcement learning and causal machine learning Benefits & Compensation for U.S.
Collaborate with engineering teams to deploy, experimentally evaluate, and productionize these ... Experience in reinforcement learning and causal machine learning Benefits & Compensation for U.S.
Collaborate with engineering teams to deploy, experimentally evaluate, and productionize these ... Experience in reinforcement learning and causal machine learning Benefits & Compensation for U.S.
Experience with the following multiple areas: exploratory data analyses, feature engineering, clustering, regressions, tree methods, supervised and unsupervised learning, reinforcement learning ...
Experience with the following multiple areas: exploratory data analyses, feature engineering, clustering, regressions, tree methods, supervised and unsupervised learning, reinforcement learning ...
... Network Engineering and Security, and Software Engineering. Find out more about SoC at ... learning, natural language processing, reinforcement learning, robotics and computer vision.
... Network Engineering and Security, and Software Engineering. Find out more about SoC at ... learning, natural language processing, reinforcement learning, robotics and computer vision.
We are looking for someone with a passion for data, ML, and programming, who can build ML solutions ... Advanced knowledge in Reinforcement Learning or Meta Learning. * Software development experience is ...
We are looking for someone with a passion for data, ML, and programming, who can build ML solutions ... Advanced knowledge in Reinforcement Learning or Meta Learning. * Software development experience is ...
We are looking for someone with a passion for data, ML, and programming, who can build ML solutions ... Advanced knowledge in Reinforcement Learning or Meta Learning. * Software development experience is ...
We are looking for someone with a passion for data, ML, and programming, who can build ML solutions ... Advanced knowledge in Reinforcement Learning or Meta Learning. * Software development experience is ...
Applied AI ML Lead - Sales Science
Chicago, IL · On-site
$100 - $140/hr
We are looking for someone with a passion for data, ML, and programming, who can build ML solutions ... Advanced knowledge in Reinforcement Learning or Meta Learning. * Software development experience is ...
Applied AI ML Lead - Sales Science
Chicago, IL · On-site
$100 - $140/hr
We are looking for someone with a passion for data, ML, and programming, who can build ML solutions ... Advanced knowledge in Reinforcement Learning or Meta Learning. * Software development experience is ...
Generative models, reinforcement learning, and agent-based approaches to streamline experimentation ... Department of Energy multidisciplinary science and engineering research center, operated by ...
Generative models, reinforcement learning, and agent-based approaches to streamline experimentation ... Department of Energy multidisciplinary science and engineering research center, operated by ...
Reinforcement Learning Engineer information
See Illinois salary details
$36.8K - $50.3K
5% of jobs
$50.3K - $63.9K
7% of jobs
$63.9K - $77.4K
9% of jobs
$80.3K is the 25th percentile. Wages below this are outliers.
$77.4K - $90.9K
14% of jobs
The median wage is $103.1K / yr.
$90.9K - $104.4K
16% of jobs
$104.4K - $118K
13% of jobs
$118K - $131.5K
6% of jobs
$138.7K is the 75th percentile. Wages above this are outliers.
$131.5K - $145K
8% of jobs
$145K - $158.5K
8% of jobs
$158.5K - $172K
7% of jobs
$172K - $185.6K
5% of jobs
$36.8K
$112.3K
$185.6K
How much do reinforcement learning engineer jobs pay per year?
As of Aug 21, 2026, the average yearly pay for reinforcement learning engineer in Illinois is $112,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,400.00 and $146,800.00 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?
| Aspect | Reinforcement Learning Engineer | Machine Learning Engineer |
|---|---|---|
| Credentials | Bachelor's/Master's in CS, AI, or related; experience with RL frameworks | Bachelor's/Master's in CS, Data Science, or related; experience with ML algorithms |
| Work Environment | Research labs, AI startups, tech companies focusing on RL applications | Tech companies, data-driven firms, AI departments across industries |
| Industry Usage | Specialized in RL projects like robotics, game AI, autonomous systems | Broader 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 Illinois?
For Reinforcement Learning Engineer jobs in Illinois, the most frequently searched job titles are:
- Flexible Remote Machine Learning Engineer
- Senior Machine Learning Engineer Biotech
- Nlp Research Scientist
- Csod Consultant
- Temporary Machine Learning R
- Deep Learning Engineer
- Machine Learning Engineer From Home
- Learning Consultant
- Contract Machine Learning Research Scientist
- Flexible Machine Learning Engineer Biotech
What job categories do people searching Reinforcement Learning Engineer jobs in Illinois look for?
The top searched job categories for Reinforcement Learning Engineer jobs in Illinois are:
- Remote Machine Learning Compiler Engineer
- Reinforcement Learning Engineer Salary
- Senior Learning Technology
- Contract Machine Learning Testing
- Helper Reinforcement Learning
- Senior Meta Machine Learning
- Home Based Nvidia Machine Learning
- Machine Learning Manager
- Internship Monitoring Evaluation Learning
- Professional Learning
What cities in Illinois are hiring for Reinforcement Learning Engineer jobs?
Cities in Illinois with the most Reinforcement Learning Engineer job openings:
Other
Posted 6 days ago
Job description
📍 Location: San Francisco / Boston
🧬 About: Frontier AI x Biology | Foundation Models | Therapeutic Discovery
💼 Stage: Well-funded AI Biotechnology Company
PLEASE FOLLOW THE KENKOTECH PAGE AND CONNECT WITH THE JOB POSTER
About the Opportunity
We're partnering with one of the world's leading AI x Biology companies, building frontier foundation models designed to transform therapeutic discovery.
The team is developing large-scale multimodal foundation models across biological data modalities - including single-cell genomics, transcriptomics, DNA, RNA and proteins - to create universal biological representations capable of accelerating target discovery, disease understanding and drug development.
This is a rare opportunity to join an exceptionally strong research organisation working at the intersection of large-scale machine learning and modern biology. You'll collaborate with world-class AI researchers, computational biologists and experimental scientists to develop the next generation of biological foundation models that directly power therapeutic discovery.
The role is highly research-focused, but with a strong emphasis on building models that move beyond publications and have real scientific impact.
Key Responsibilities
- Develop and train large-scale foundation models across biological modalities including DNA, RNA, proteins and single-cell data
- Research novel model architectures, representation learning approaches and pre-training strategies for biological data
- Design and implement large-scale distributed training pipelines for frontier AI models
- Develop methods for multimodal learning across diverse biological datasets
- Improve model performance through post-training, evaluation, alignment and fine-tuning techniques
- Work closely with experimental scientists to translate model outputs into biological insight
- Design rigorous evaluation frameworks for biological foundation models
- Contribute to the long-term research direction of the company's AI platform
- Stay at the forefront of developments across machine learning, foundation models and computational biology
Qualifications
- PhD in Machine Learning, Computer Science, Computational Biology, Bioinformatics, Statistics, Mathematics, Physics or a related quantitative discipline
- Outstanding research background in modern machine learning
- Strong publication record at leading conferences or journals (NeurIPS, ICML, ICLR, Nature, Science, Cell, etc.)
- Experience developing, training or evaluating large deep learning models
- Strong programming skills using modern ML frameworks (PyTorch, JAX, etc.)
- Experience with distributed training or large-scale model development is highly desirable
- Ability to work across both research and engineering to build production-quality systems
- Ideal Background
We're particularly interested in researchers with experience in one or more of the following:
- Foundation Models
- Representation Learning
- Large Language Models
- Multimodal Learning
- Self-Supervised Learning
- Generative Modelling
- Reinforcement Learning
- Large-Scale Distributed Training
- Single-Cell Foundation Models
Why Join
- Help build some of the world's most advanced foundation models for biology
- Work alongside internationally recognised AI researchers and computational biologists
- Apply frontier AI to real therapeutic discovery problems
- Access enormous proprietary biological datasets and large-scale compute
- Research with genuine scientific and clinical impact rather than purely academic objectives
- Join one of the best-capitalised and fastest-growing AI x Biology organisations in the world
- Opportunity to publish, innovate and help shape the future of AI-driven drug discovery