Enterprise AI Research Scientist — Long-Horizon Agents

Tessera Labs; San Jose (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Tessera Labs is seeking a Research Scientist to set and pursue a research agenda for reliable long-horizon agents operating inside real enterprises. You will invent methods, work with Research Engineers, and report to a product team within weeks whether you were right.

Publishers welcome, with the constraint of shipping; post-training open-weight models on rented clusters, and scale compute as needed. This role is a deep dive into enterprise-oriented AI research.

Qualifications

• MS or PhD in CS/ML or related field.
• Track record of original ML research.
• Deep expertise in post-training RL for LLMs, memory, or knowledge representation.
• Hands-on coder who runs experiments and reads logs.
• Exceptional research judgment.
• Rigorous, urgent, and clear in explanations.

Responsibilities

• Set and pursue a research agenda on reliable long-horizon agentic behavior in real enterprise environments — you decide which questions matter, and defend the choice.
• Invent and validate methods for post-training agents on transformation work: reward design where verification is partial, delayed, or contested; RL formulations for long-horizon planning and tool use; curriculum and data strategy.
• Define how an agent remembers: memory architecture for runs that span forty steps and days of wall-clock.
• Own the question of what to measure: develop evaluation methodology whose scores predict customer-observed correctness.
• Study how multi-agent systems fail — error compounding across long trajectories, planning under partial observability, delegation and verification between agents.
• Work on the verification problem directly: how an agent establishes that a change preserved behavior where tests don’t cover it.
• Solve how a system represents an enterprise to itself using an ontology or knowledge graph.
• Turn findings into things that ship, with Research Engineering and product.
• Publish papers, technical reports, and open-source artifacts, and represent Tessera's research externally.
• Raise the team's research bar: review experiment designs and mentor engineers moving into research.

Skills

Original ML research

Hands-on experimentation

RL for LLMs knowledge

Knowledge representation

Education

MS or PhD in CS/ML or related field

Job description

Tessera Labs is seeking a Research Scientist to set and pursue a research agenda for reliable long-horizon agents operating inside real enterprises. You will invent methods, work with Research Engineers, and report to a product team within weeks whether you were right.

Publishers welcome, with the constraint of shipping; post-training open-weight models on rented clusters, and scale compute as needed. This role is a deep dive into enterprise-oriented AI research.