Founding AI Research Engineer — Remote + Equity

Talantir; United States; Remote; USD 90,000 - 200,000; Full time

Job summary

Deep Reasoning Labs is building a deep reasoning layer for LLMs focused on long-horizon coding. This role owns core R&D and implementation of test-time scaling for coding, with emphasis on search/branching policies, verifiers, and SFT/RL training signals.

You will ship systems that run continuously, generate data, and measurably improve complex codebase tasks. Remote-first with US/Canada overlap; compensation includes meaningful equity.

Qualifications

• Strong implementation ability in Python + PyTorch, with good engineering hygiene.
• Demonstrated experience building inference-time search/reranking/verifiers for LLMs or sequence models.
• Comfort with data pipelines, eval harnesses, and running systematic experiments.
• Clear thinking about failure modes, measurement, and falsifiable hypotheses.

Responsibilities

• Own core R&D and implementation of test-time scaling for coding: search/branching policies, verifiers/PRMs, SFT fine-tuning, RLVR-style training signals.
• Ship systems that run continuously, generate data, and measurably improve complex codebase tasks.
• Develop program analysis + transformations signals (AST/IR, dataflow) to guide reasoning loops.
• Evaluate and design experiments to quantify gains and establish baselines.

Skills

Python

PyTorch

Inference-time search

Data pipelines

Experimentation

Job description

Deep Reasoning Labs is building a deep reasoning layer for LLMs focused on long-horizon coding. This role owns core R&D and implementation of test-time scaling for coding, with emphasis on search/branching policies, verifiers, and SFT/RL training signals.

You will ship systems that run continuously, generate data, and measurably improve complex codebase tasks. Remote-first with US/Canada overlap; compensation includes meaningful equity.