Why Join Anzen:
- Come join us in reinventing the future of insurance.
- Work with advanced technologies in a rapidly growing industry.
- Opportunities for professional development and career advancement.
- A collaborative and innovative company culture focused on excellence and integrity.
- Be part of a company that values proactive risk management and cutting-edge solutions.
Company Culture:
Anzen believes the world of work is fundamentally different in the new post-Covid environment. We are committed to supporting a diverse and hard working team that puts in the necessary time but also desires balance between health, family, and work. We fully embrace remote work lifestyles while centering our weeks around Pacific Standard Time (PST) with a general orientation to San Francisco as the geographic HQ.
Responsibilities:
- Partner with Design & Product to translate fuzzy broker pain points into concrete, AI capabilities that perform equally or better than human experts.
- Own the full ML lifecycle from framing business problems into research problems, evaluating results and rolling them out with the appropriate infrastructure.
- Architect production-grade systems that marry real-time inference with human-in-the-loop review and comply with strict privacy & audit requirements.
- Elevate engineering quality, driving technical roadmaps and championing best practices.
- Mentor our Engineering team and help define Engineering culture at Anzen.
What we’re looking for:
- 8+ years building data-intensive or ML-driven backend systems.
- Production mindset: you’ve shipped business critical models with measurable business impact (latency, cost, ROI).
- Broad ML toolbox, from classic ML (especially NLP) to GenAI.
- Strong backend fundamentals: distributed systems, streaming data pipelines.
- Fluency in Python and/or TypeScript in a production environment.
- Startup DNA: thrive in ambiguity, bias to action.