We are hiring Applied ML Engineers to partner with multiple product teams to extract insights from data and build AI-powered features and automated workflows across the product suite. As an Applied ML Engineer, you will enable product teams, lead by example, and own the data analysis, ML modeling, and workflow logic that let AI understand user requests, enrich and route them, suggest actions, and in some cases fully automate resolution.
Requirements
- 5+ years in data science, ML engineering, or a similar applied role, with a strong record of shipping production data/ML features.
- Strong Python skills and experience with pandas for data analysis.
- Experience with PySpark or other distributed data processing frameworks.
- Solid understanding of ML fundamentals, including supervised learning and classification models, matrix factorization / embeddings / latent factor models, feature engineering and model evaluation (offline metrics and online experiments).
- Proficiency with PyTorch (or a similar deep learning framework) and related ML tooling.
- Strong SQL and experience with modern data warehouses / data lakes.
- Comfort working with APIs, microservices, and production integration of ML models, including performance and reliability considerations.
- Experience serving as a technical lead or senior individual contributor across multiple teams or projects.
- Proven ability to translate business problems into data/ML projects, and to clearly explain tradeoffs to non-ML stakeholders.
- Track record of mentoring junior engineers/analysts and improving team practices (e.g., review culture, testing, monitoring).
- Strong communication skills and the ability to drive alignment across product, engineering, and operations.
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
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