Research Engineer - Reinforcement Learning

1 month agoSeniorSalary: 150K - 350KSan Francisco, USA Remote Full Time Ai Jobs by Prime Intellect

Skills

Ai Ci/Cd Distributed Inference Experiment Tracking Inference Machine-Learning Mlops Model Versioning Reinforcement Learning Research Sglang Synthetic Data Technical Writing Training Vllm

Candidate Availability

Remote · San Francisco · Required

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

Lead research on large-scale synthetic data generation and orchestration, optimize AI inference performance and resource utilization, develop open-source synthetic data and distributed reinforcement learning frameworks, publish research, and communicate technical outcomes through accessible technical writing.

Requirements

Strong AI/ML engineering background with experience designing and implementing end-to-end pipelines for inference or training of large-scale AI models
Deep expertise in distributed inference techniques and frameworks such as vLLM and SGLang
Understanding of MLOps practices including model versioning, experiment tracking, and CI/CD pipelines
Passion for advancing reasoning and democratizing access to AI capabilities

Responsibilities

Lead and participate in novel research to build a large-scale synthetic data generation pipeline and orchestration solution
Optimize the performance, cost, and resource utilization of AI inference workloads
Contribute to open-source libraries and frameworks for synthetic data generation and distributed reinforcement learning
Publish research in top-tier AI conferences such as ICML and NeurIPS
Explain technical project outcomes through accessible technical blogs for customers and developers
Track advances in AI/ML infrastructure, tools, and synthetic data research and identify platform improvements

Benefits