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Research Scientist – Reinforcement Learning (RL)

perceptaNew York CityResearch
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Salary
Not listed
Job type
Full-time
Posted
2 Oct 2026
Status
Open · checked 7d ago

About this role

Research Scientist – Reinforcement Learning (RL) is a full-time position based in New York City with percepta, focusing on applying decision-making research to critical sectors like healthcare, energy, and manufacturing. This role suits professionals with a background in machine learning and reinforcement learning who want to bridge academic research and real-world institutional deployment.

Role Overview

The Research Scientist – Reinforcement Learning position at percepta involves uniting advanced RL research with practical implementations in essential industries. Working in New York City, the professional links academic theory with real-world institutional operations by cooperating with engineers and product managers.

Key Responsibilities

Pinpoint practical institutional challenges suitable for RL-guided decision making.
Create RL methodologies for complex tasks involving planning, optimization, and decision-making.
Build and maintain research infrastructure including data pipelines, simulation environments, and training frameworks.
Execute large-scale evaluations in real-world settings.
Collaborate with applied AI engineers to move research concepts into the Mosaic platform.
Explain research results to technical and non-technical audiences.

Requirements

Hold an MS or PhD in Machine Learning, Computer Science, or a related discipline, or possess equivalent practical experience.
Demonstrate a documented history of effective reinforcement learning work.
Display motivation toward creating impact within critical industries such as finance, energy, supply chains, and healthcare.
Demonstrate understanding of rigorous reinforcement learning experimentation.
Exhibit extreme ownership.

Skills and Tools

Python
High performance distributed systems
Large scale LLM and RL training
LLM post-training algorithms
vLLM
SGLang
Ray
Kubernetes and AWS EKS
Distributed checkpointing
Multi-node and multi-GPU training
Custom KV-caching
Asynchronous training and inference frameworks including VeRL, ROLL, SkyRL, AReal, and CleanRL

About the Company

Percepta works to transform critical institutions through applied artificial intelligence by embedding teams with industry-leading customers in fields like manufacturing, healthcare, and energy. The organization maintains strategic partnerships with entities such as Anthropic, McKinsey, AWS, and General Catalyst, functioning as a direct partnership with General Catalyst.

How to Apply

Candidates should apply directly on the official percepta careers page.

Skills and tech stack

PythonvLLMSGLangRayKubernetesAWS EKSVeRLROLLSkyRLARealCleanRLLLMAWSReinforcement LearningDistributed Systems

Questions candidates ask

Where is the Research Scientist – Reinforcement Learning position located?

The role is based in New York City.

What qualifications are accepted for this position?

Candidates need an MS or PhD in Computer Science, Machine Learning, or a related field, or equivalent experience along with a track record of effective reinforcement learning work.

What technical skills are mentioned as a good technical fit?

Strong Python programming skills, experience with large-scale distributed systems, LLM or RL training, vLLM, SGLang, Ray, Kubernetes, and asynchronous training frameworks.

What industries does percepta target with its AI solutions?

Percepta targets critical industries including healthcare, manufacturing, energy, supply chains, and finance.

How should an interested candidate apply?

Candidates must submit their application on the official percepta careers page.

Ready to apply?

The application is on the official percepta careers page.

Apply on company site