What are the responsibilities and job description for the Machine Learning Researcher position at Acceler8 Talent?
🌍 Senior LLM Research Scientist | Advanced AI Systems | San Francisco (Onsite)
You will join a team that is developing AI with genuine physical capability - systems that can experiment, engineer, and manufacture in the real world. Backed by strong technical foundations and large-scale projects, they’re pushing the frontier of advanced intelligence. The work is deeply hands-on and first-principles, giving you the chance to own end-to-end systems and help create capabilities the world has never seen before.
💡 Why join
- Lead planning, reasoning, and tool-use research for autonomous engineering systems
- Shape prompting frameworks, structured tool calling, model alignment, and preference optimization
- Work on verifier-guided RL, long-horizon behaviours, and MoE routing in a high-velocity research environment
- Collaborate with systems, data, simulation, and tooling teams running real engineering workflows
- Competitive salary up to $300,000, plus strong equity
🚀 What they value
- Deep background in LLM research, agent systems, or structured tool-use models
- Experience across SFT, RLHF, DPO, or verifier-driven RL
- Strength in designing long-horizon reasoning, decomposition strategies, and structured policies
- Comfortable working across ML, engineering systems, and real-world toolchains
Location: Onsite in San Francisco.
If you’re aiming for a role where research directly shapes physical AI, I’m happy to share more or connect you.
Salary : $200,000 - $300,000