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. What You’ll Own 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. Ideal Signals 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. Why This Role? 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. #J-18808-Ljbffr