Support AI initiatives including designing AI-driven alerts and contributing to AI roadmaps.
Develop POC code and implement ML solutions that improve product capabilities — using AI coding tools (e.g., Claude, Cursor) natively to accelerate prototyping, code review, and iteration cycles.
Process and analyze large-scale data using Ray and Spark.
Collaborate with cross-functional engineering and product teams to integrate models into production systems.
Stay current with industry trends in AI/ML and bring innovative approaches to the team.
Who You Are and What You’ve Done
PhD in Computer Science, Statistics, or related field; or MS with 3+ years of applied ML/data science experience.
Strong foundation in
Traditional ML: regression, classification, ensemble methods, clustering, dimensionality reduction
Deep Learning & Neural Networks: CNNs, RNNs/LSTMs, Transformers, attention mechanisms
Statistical modeling & algorithms: optimization, Bayesian inference, probabilistic modeling
Proficiency in Python (primary), Scala, or similar languages for production-grade data science.
Demonstrated ability to ship — from POC to scalable, integrated ML solution.
AI-native developer: actively uses AI tools (Claude, Cursor, GitHub Copilot, or equivalent) in daily workflow for coding, debugging, and solution design — not just awareness, but habitual, productive use.
Thrives in fast-paced, ambiguous environments and collaborates effectively across teams.
What Would Make You Stand Out (Bonus Points)
Experience with real-time data processing and streaming analytics.
Deep familiarity with time series analysis — forecasting, change-point detection, seasonality decomposition.
Background in building AI-powered alerting, anomaly detection, or intelligent monitoring systems.
Familiarity with cloud-based ML deployment and MLOps practices (model versioning, monitoring, retraining pipelines).
Experience fine-tuning or integrating LLMs/foundation models into analytical or product workflows.
The expected salary range for this full-time position is $180,000 - $230,000 + equity + benefits. Compensation is determined by numerous factors such as your qualifications, experience, relevant education or training, and work location.
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