Data Tech Lead​/Manager San Bruno, California

Mill is focused on reducing waste and its environmental impact by leveraging IoT data and AI s role leads a team to build data-driven solutions for consumer and business customers, guiding technical direction and people leadership.

• Provide technical leadership and architectural guidance across data engineering, algorithms, and AI projects.
• Analyze Mill's IoT data to identify trends, insights, and product opportunities.
• Develop data pipelines, predictive models, and business intelligence tools that empower our business customers.
• Establish standards for code quality, testing, and data governance.
• Champion a data-driven culture with metrics and evaluation frameworks to guide model selection and ensure rigorous testing.
• Lead the development and maintenance of internal data visualization infrastructure and collaborate with application teams to design customer-facing dashboards.

• 7+ years of combined experience in software engineering, data science, machine learning, or data engineering, with at least 2 years in a lead or manager role guiding technical teams.
• Master’s, PhD, or equivalent experience in a quantitative field (e.g. Statistics, Computer Science, Data Science, Mathematics, Economics).
• A track record of data mining and data analysis, using data to solve business challenges at enterprise scale.
• Strong SQL knowledge and experience with relational and No
  
  SQL databases.
• Hands-on experience with large-scale data platforms such as Snowflake, Redshift, Big Query, or Click House.
• Experience designing and building reports and custom visualization dashboards (e.g. Power BI, Tableau, Qlik, Plotly).
• Proven track record of delivering AI/ML solutions from prototype to production.

• Familiarity with AWS or other cloud providers, including ML/AI services like Sage Maker or Bedrock.
• Python data science stack (Pandas, Dask, Numpy, Matplotlib, Seaborn, Jupyter, Visual Studio Code).
• Generative AI techniques and technologies (e.g., LLM inference, cross-modal vision-language models, prompt engineering, fine-tuning, agents, retrieval-augmented generation).
• Computer vision experience with CNN-based models using PyTorch and vision-language models.
• Experience with a wide range of ML algorithms and statistical techniques, including time-series analysis and A/B testing.
• Strong communication skills and ability to influence stakeholders at all levels.
• Passion for sustainability and solving real-world environmental challenges.

The estimated base salary range for this position is $220k to $250k, not including benefits or equity. Compensation is determined by multiple factors including skills, experience, and organizational needs.

In-office expectation: role requires a minimum of 2 days per week in the office.