Kepler AI
Machine Learning Engineer
- Confirmed live in the last 24 hours
- $200k–$280k
- Mid level
- Full-time
- On-site · New York City
- 5+ yrs exp
- Added 2 months ago
About this role
Kepler is building a trust layer for AI, ensuring outputs are traceable and verifiable, particularly within high-stakes industries like finance. As a Machine Learning Engineer, you will own the models powering their AI research platform, optimizing them for accuracy, cost, and latency. You'll work in a small, close-knit team focused on building foundational technology where your contributions directly impact critical business decisions.
What you'll do
- Select and manage models for various tasks within the platform.
- Fine-tune models and evaluate their performance against frontier models.
- Build evaluation harnesses to ensure output accuracy and traceability.
- Redesign model routing strategies for efficiency and reliability.
- Identify and address areas for improvement in existing workflows.
- Take ownership of systems end-to-end, handling all aspects of development and maintenance.
What they're looking for
- Machine Learning
- Fine-tuning
- Model Evaluation
- Production Software
- AI Agents
- LLMs
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Kepler AI
- Industry
- Technology & Software
Likely interview questions
- Describe your experience shipping ML systems to production.
- How do you approach identifying and mitigating failure modes in ML systems?