Source description
About the role
Bachelor's Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred).
4+ years of professional experience as a ML engineer, applied researcher, or software engineer with a focus on ML systems
Strong coding skills in Python with a track record of writing clean, production-quality code
Experience designing, deploying and operating ML inference systems at scale (real-time streaming and/or large-scale batch)
Strong fundamentals in backend/service development (APIs, reliability, monitoring, debugging) as it relates to serving ML models
Experience deploying and maintaining ML systems on cloud platforms (AWS or GCP), including CI/CD and observability practices
Familiarity with applied ML development (frameworks, evaluation criteria, performance validation) and translating prototypes into production systems
Preferred: 2+ years of experience applying advanced mathematical and statistical techniques
Preferred: Experience working with time series data (wearable, physiological, or high-frequency sensor data)
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