Staff Software Engineer responsible for the Developer Platform at Chainguard, building secure software infrastructure. Focus on CI/CD, AI tooling, and developer experience innovations.
About the role
- ML Platform Engineer at Afresh responsible for enhancing machine learning platform capabilities. Collaborating with teams to facilitate AI-driven grocery solutions and tackle food waste.
Responsibilities
- Elevate core ML platform performance, reliability, and scalability.
- Work on infrastructure enabling ML and Applied Science teams to innovate faster and deliver impact.
- Deliver features related to model configuration, integration testing, and real-time inference.
- Own significant scalability improvements and additions to the ML platform.
Requirements
- BS in Computer Science or a relevant technical field.
- 3+ years of professional software development experience with a proven track record of shipping high-quality applications and services.
- Experience working collaboratively with machine learning engineers, data scientists, or applied scientists on large-scale software projects involving machine learning models.
- Deep expertise in library design, API design, data structures, and algorithms.
- Strong familiarity with Python.
- You possess a genuine curiosity about ML modeling (e.g., demand forecasting, state estimation, ordering policy).
- You have an understanding of how scientists work and build tools that bridge the gap between a research notebook and production-grade software.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
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