Research Engineering Lead

Leads hands-on research and engineering to improve frontier language models for AI software engineering, owning experiments, evaluation, training, and optimization end to end. The role also mentors researchers and engineers and partners across research, product, and infrastructure teams.

About the job

Responsibilities

Design and execute experiments grounded in real coding and product use cases.
Define, track, and optimize product-centric LLM performance metrics.
Partner with engineering leads to hire and develop a world-class team.
Own training pipelines, distillation workflows, and synthetic data generation systems.
Work closely with infrastructure and product engineers to scale and ship model improvements.
Build ensembles of LLMs into products.

Requirements

Experience leading or contributing to cutting-edge LLM research at top AI labs.
Experience fine-tuning large-scale transformer models on code, natural language, and multimodal datasets.
Experience developing state-of-the-art models for code generation.
Strong experimental design and evaluation skills.
Natural leadership ability and a focus on building high-performing technical teams.
Experience mentoring researchers and engineers and leading collaborative projects across research, engineering, and product teams.
English proficiency.

Nice to Have

Publications at top ML/AI conferences on LLMs, code intelligence, or agentic reasoning.

Technology

React
Golang
Rust
Cloudflare
Google Cloud Run
AWS
Terraform
CI/CD pipelines
Observability
Infrastructure as code

Skills

LLMs, Transformer Models, Model Fine-Tuning, Code Generation, Multimodal Models, Model Alignment, Llm Evaluation, Training Pipelines, Knowledge Distillation, Synthetic Data Generation, React, Go, Rust, AWS, Terraform