What are the responsibilities and job description for the Machine Learning Software Engineer position at Harrison Clarke?
Software Engineer (Machine Learning)
A high-growth startup, offering a platform that safeguards both AI and human generated content for enterprises is searching for a ML Software Engineer to join their team.
This startup addresses the critical problem of securing and governing both AI and human generated content in enterprise environments, particularly as GenAI adoption surges. Their Adaptive Content Security (ACS) platform uses AI-driven business context and logic to detect and mitigate risks like data leaks, privacy violations, IP leakage, and non-compliant communications, outperforming traditional data loss prevention tools. This software allows organizations in regulated sectors like healthcare, finance, and insurance to safely leverage GenAI tools without compromising security or trust.
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 frameworks and pipelines.
- 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.
Apply Below