Research Scientist, Agent Systems & LLM Planning

Optimized, Inc.; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Optimized, Inc. is seeking a research scientist in San Francisco to advance the intelligence of supply chain agents. Responsibilities include developing planning approaches, designing experiments, publishing findings, and collaborating with ML engineers. Candidates should have a PhD or equivalent experience in ML or NLP, along with research publications in LLMs or agent systems. The compensation range for this role is $180,000 - $250,000 plus equity.

Qualifications

• PhD or equivalent research experience in ML, NLP, or a related field.
• Published work on LLMs, agent systems, planning, or multi-agent coordination.
• Experience building research prototypes in Python.

Responsibilities

• Research and develop novel approaches to agent planning.
• Design experiments to evaluate agent reliability and accuracy.
• Collaborate with ML engineers to translate research into production.

Skills

Research in ML, NLP

Python programming

Multi-agent coordination

Planning under uncertainty

Education

PhD or equivalent research experience

Job description

Optimized, Inc. is seeking a research scientist in San Francisco to advance the intelligence of supply chain agents. Responsibilities include developing planning approaches, designing experiments, publishing findings, and collaborating with ML engineers. Candidates should have a PhD or equivalent experience in ML or NLP, along with research publications in LLMs or agent systems. The compensation range for this role is $180,000 - $250,000 plus equity.