Research Engineer at VC-backed AI research startup

Join a high-performance team building specialized, high-precision AI models for deterministic enterprise tasks. As a founding Research Engineer, you will own the end-to-end model lifecycle—from implementing cutting-edge research to optimizing deployment at scale. You will bridge the gap between academic theory and production-ready systems, shipping models that process billions of tokens monthly.

VC-backed AI research startup

• Implement and experiment with novel architectures and fine-tuning techniques to improve model performance on structured data tasks.
• Develop robust benchmarking suites and automated data pipelines to ensure the reliability and consistency of production models.
• Optimize model inference and serving using modern frameworks to maximize GPU efficiency and minimize latency for enterprise users.

• Holds an advanced degree or equivalent research background with publications at top-tier venues like NeurIPS, ICML, or ACL.
• Proven expertise in deep learning frameworks such as PyTorch and experience with performance-oriented inference engines like TensorRT-LLM.
• Highly collaborative builder who thrives in an early-stage startup environment and is comfortable owning projects across the entire stack.

• Directly influence the trajectory of a founding-stage AI lab pushing the boundaries of small, high-accuracy models.
• Work in a research-heavy environment that prioritizes open-weight contributions and publishing results to the broader AI community.
• Fast-paced zero-to-one culture where your experiments are deployed to production and impact real-world systems within days.