Machine Learning Software Engineer

The Role

We’re seeking a Software Engineer with Machine Learning expertise to join our mission-driven team, diving beyond surface-level metrics to analyze model behavior, uncover subtle failure modes, and develop real-time systems that enhance AI safety. You’ll focus on building safer, traceable, and accountable AI solution during the most critical phase of AI’s evolution.

• Hands-on experience working with modern NLP systems in real-world contexts (LLMs, embeddings, transformers, etc.).
• Comfort moving from prototype to production in Python—outside the notebook.
• Experience building or working with evaluation pipelines and frameworks.
• Practical thinking, sharp debugging skills, and an appetite for ambiguity.

• Experience using or building tools that evaluate the behavior of language models (LLMs).
• Background in environments where trust, safety, or compliance is critical—even if outside traditional “regulated” industries.
• Hands-on experience testing AI systems for edge cases, failure modes, or unexpected behavior.

Join an early-stage, well-funded, mission-driven startup where you’ll enjoy technical autonomy and direct exposure to customer use cases, allowing your code to significantly shape the company’s trajectory. You’ll thrive in a culture that prioritizes clarity, urgency, and respect, valuing impactful contributions over self-promotion. Collaborate with a sharp, kind, high-trust team dedicated to delivering innovative solutions in a high-stakes environment.