Staff AI Researcher — Hybrid, Cambridge

Acceler8 Talent; Cambridge (MA); Hybrid; USD 170,000 - 250,000; Full time

Job summary

Acceler8 Talent seeks a Member of Technical Staff in AI Research to push the boundaries of reinforcement learning, agent systems, and multi-GPU experimentation in Cambridge, MA. The role blends original research with practical engineering to produce reproducible results.

You will collaborate with physicists and engineers on scientific reasoning and publishable work, with a hybrid work arrangement that may include some onsite presence and case-by-case remote work.

Qualifications

• Strong research background with publications at leading AI/ML conferences.
• Hands-on experience in RL, LLM training, agent systems or model evaluation.
• Experience building and running multi-GPU training experiments.
• Ability to independently design experiments, evaluate results and deliver research outcomes.

Responsibilities

• Develop new approaches to reinforcement learning, AI agents and model reasoning.
• Design and run large-scale training experiments across multiple GPUs.
• Build robust evaluation frameworks, benchmarks and research tools.
• Work closely with physicists and engineers on scientific reasoning and problem-solving.
• Contribute to publishable research and open-source projects.

Skills

Reinforcement Learning

LLM training

Multi-GPU training

Model evaluation

Research publications

Tools

PyTorch

TensorFlow

CUDA

Job description

Acceler8 Talent seeks a Member of Technical Staff in AI Research to push the boundaries of reinforcement learning, agent systems, and multi-GPU experimentation in Cambridge, MA. The role blends original research with practical engineering to produce reproducible results.

You will collaborate with physicists and engineers on scientific reasoning and publishable work, with a hybrid work arrangement that may include some onsite presence and case-by-case remote work.