Fusemachines is hiring a Machine Learning Engineer to help build the next generation of intelligent, agentic systems that solve real business problems. The role involves owning ML projects end-to-end, designing and shipping production ML systems, and leveraging modern AI development tooling.
Requirements
- Own ML projects end-to-end - from problem framing and data exploration through modeling, deployment, monitoring, and iteration.
- Design and ship production ML systems spanning churn and propensity modeling, demand forecasting, anomaly detection, pricing optimization, and recommendation.
- Build agentic AI workflows that automate decision-making across the business.
- Leverage modern AI development tooling (AI coding assistants, agentic IDEs, automated evaluation harnesses, MLOps platforms) as a core part of your engineering practice.
- Apply foundation models and domain-specific ML to extract signals from structured data, text, images, audio, or multimodal inputs depending on the problem at hand.
- Design rigorous evaluations for both deterministic models and probabilistic AI systems.
- Partner with data and platform engineers to build robust pipelines, feature stores, and serving infrastructure supporting both classical ML and modern AI workloads.
- Communicate effectively with technical and non-technical stakeholders.
- Set technical direction for an area of the ML stack, mentor mid-level and junior engineers, lead design reviews, and influence the team's tooling, evaluation standards, and architectural choices.
Benefits
- Health insurance
- Retirement plan
- Generous paid time off
