Skill
Reinforcement Learning
Data Science, Analytics and AI/ML
Reinforcement learning is a branch of machine learning in which an agent learns to make decisions by taking actions in an environment and receiving rewards or penalties, aiming to maximize cumulative reward over time. It underlies applications like game-playing AI (e.g., AlphaGo), robotics control, recommendation systems, and, more recently, fine-tuning large language models via techniques like RLHF. Researchers and engineers use frameworks such as OpenAI Gym, Stable Baselines, and RLlib to develop and test these algorithms.
Reinforcement Learning in the job market
Last checked October 28, 2026
- Open roles
- 77
- Employers
- 32
- Median pay
- $280,000
- Disclose pay
- 86%
on Career App
hiring for it
from 66 roles
of these roles
Open roles requiring Reinforcement Learning (77)
Vice President, Product Management, Managed AI
Crusoe
Full-time · San Francisco, CA · $345,000 – $385,000
Lead the vision and execution of Crusoe's Managed AI Services portfolio, a rapidly scaling business delivering inference, fine-tuning, and reinforcement learning capabilities. This role suits a seasoned product leader with deep AI/ML infrastructure experience, proven skill building and scaling managed services, and the ability to drive cross-functional strategy from technical requirements through commercial outcomes.
Listed on Crusoe’s careers site · Apply there ↗
Senior Staff AI Scientist - Consumer Risk
Intuit
Mountain View, CA · $226,000 – $306,000
This role leads the design and deployment of credit and fraud risk models for Intuit's consumer lending and banking products, affecting hundreds of thousands of customers. It suits an experienced AI scientist comfortable moving between hands-on modeling work and team leadership, who can navigate regulatory requirements and partner with product and engineering to ship risk solutions at scale.
Listed on Intuit’s careers site · Apply there ↗
ML Researcher - Posttraining
Krea AI
Full-time · San Francisco, CA
This role focuses on advancing the aesthetics and quality of Krea's image generation models through large-scale posttraining techniques, including preference optimization and reinforcement learning. It suits researchers with deep expertise in diffusion model finetuning and infrastructure who want to work on cutting-edge generative AI tools with a team that values both technical excellence and creative sensibility.
Listed on Krea AI’s careers site · Apply there ↗
Senior Manager, Learning from Demonstration
Agility Robotics
Full-time · Remote · $268,000 – $364,000
Lead research and development for AI solutions in humanoid robotics, managing a team to advance capabilities in real-time planning, control, and learning from demonstration. This role suits experienced ML/robotics leaders ready to bridge research innovation with product deployment in a fast-growing automation company.
Listed on Agility Robotics’s careers site · Apply there ↗
Fleet Scheduler Data Scientist
AST SpaceMobile
Lanham, MD
This role designs and deploys AI-powered optimization algorithms to schedule and control a satellite network, working across machine learning, combinatorial optimization, and aerospace systems. It suits data scientists with production ML experience who can bridge complex physics-driven constraints and real-time decision systems.
Listed on AST SpaceMobile’s careers site · Apply there ↗
Applied Research Scientist, AI Research
Descript
San Francisco, CA · $197,000 – $262,500 · Remote
This is a research scientist role focused on building multimodal AI systems that help an editing agent understand video and audio content the way human editors do. The role suits someone with a strong deep learning background who wants to work on specialized models that ship to production, from research concept through to features used by millions of creators.
Listed on Descript’s careers site · Apply there ↗
Staff Machine Learning Engineer
XPeng
Full-time · Santa Clara, CA · $179,400 – $303,600
This role involves designing and implementing reinforcement learning algorithms for autonomous vehicle planning, working with computer vision and software engineering teams to deploy real-time AI solutions. It suits experienced ML engineers who want to apply advanced techniques to production autonomous driving systems.
Listed on XPeng’s careers site · Apply there ↗
Research Staff, LLMs
Deepgram
Ann Arbor, MI · $150,000 – $250,000 · Remote
Deepgram seeks an experienced researcher to advance large language model architectures and training at scale, focusing on solving fundamental challenges in voice AI. This role suits researchers with deep expertise in transformers, distributed training, and LLM optimization who thrive in fast-moving environments and want to apply cutting-edge techniques to production systems.
Listed on Deepgram’s careers site · Apply there ↗
Ph.D. Research Data Scientist, GenAI
American International Group
Atlanta, GA
This role leads research and development of generative AI and agentic systems within an insurance company, building production-ready AI solutions that automate complex business processes. It suits Ph.D.-level researchers with hands-on machine learning expertise and 2+ years of industry experience who want to translate cutting-edge AI research into real-world insurance applications.
Listed on American International Group’s careers site · Apply there ↗
Sr Data Scientist - Supply Chain Optimization (Middle Mile)
Target
Full-time · $98,000 – $211,000
Target is seeking a senior data scientist to develop and deploy optimization and machine learning algorithms that improve supply chain decisions across inventory, transportation, and distribution. This role suits experienced practitioners with strong quantitative backgrounds who want to apply advanced analytics to large-scale operational problems.
Listed on Target’s careers site · Apply there ↗
Asked for alongside Reinforcement Learning
Measured from the 77 open roles that name Reinforcement Learning — not from a curated list.
- Python52 roles67.5%
- PyTorch33 roles42.9%
- Machine Learning27 roles35.1%
- Deep Learning20 roles26.0%
- SQL14 roles18.2%
- TensorFlow14 roles18.2%
- Kubernetes12 roles15.6%
- Amazon Web Services (AWS)8 roles10.4%
What employers state they pay
Median
$280,000
Middle half
$235,000 – $336,000
From 66 of 77 open roles — the 86% that publish a range, annualized to USD. Only some employers state pay, and the ones that do skew to California and New York, where the law requires it.
Who employers are hiring
- Entry3%
- Mid5%
- Senior50%
- Lead / Staff / Principal38%
- Management2%
- Executive2%
From 60 roles whose posting states a level.
Where Reinforcement Learning roles are
Among the 61 of 77 open roles we could place on a map.
Roles that use Reinforcement Learning
Employers hiring for Reinforcement Learning
32 in total, most open roles first.
- MPMenlo Ventures Portfolio16 roles
- Intuit9 roles
- XXPeng7 roles
- ARAgility Robotics4 roles
- MMotional4 roles
- CCharacterAI3 roles
Related skills
Curated neighbors in the taxonomy, whether or not employers ask for them together.