Staff Machine Learning Engineer

• We’re looking for a Staff ML Engineer to help shape the next generation of our data and AI platform.
• In this role, you will design, build, and scale machine learning and AI-powered solutions on top of our modern data platform to power conversational analytics, automation, and customer-facing experience
• You’ll collaborate closely with product, engineering, and cross-functional partners to tackle complex data challenges, identify high-impact AI opportunities for our customers
• Design, build and deploy production-grade machine learning and AI systems that power customer-facing analytics, automation, and intelligent product experience
• Develop and operationalize end-to-end ML workflows - from data preparation and feature engineering to model training, deployment, monitoring and continue improvement
• Build scalable AI solutions leveraging LLMs, embeddings, recommendation systems, forecasting models, and other modern ML techniques
• Collaborate with Product and Engineering teams to identify high-impact use cases and deliver seamless AI-powered data products
• Design and evolve semantic data models that enable accurate, consistent, and scalable analytics across the organization
• Mentor engineers, provide technical leadership, and influence architecture and engineering standards across teams

Benefits

• Flexible Vacation & PTO
• 401k Match
• $250 upon signing and $75 monthly for your home workspace
• Premier Health Benefits - 100% coverage plan options from Blue Shield of CA, Beam, and VSP
• Quarterly Bonus - Get rewarded when we reach our revenue targets
• Boulevard Bucks - Get $200 to experience a Boulevard partner or self-care provider every quarter
• Fully Remote- 7+ years of combined experience in Data Engineering and Machine Learning roles
• Experience building data products that leverage LLMs, embeddings, forecasting, recommendation systems, or other ML technologies. Experience with Snowflake Cortex is a plus
• Excellent problem-solving, communication, and collaboration skills, with the ability to work effectively across global and cross-functional teams
• Strong programming skills in Python and SQL, with experience using modern ML frameworks and AI tooling
• Strong understanding of semantic layer design, MLOps practices, and data modeling principles that support reliable CI/CD for ML workloads
• Experience designing scalable data pipelines, data quality, governance and working with modern cloud data platforms such as Snowflake, Databricks, or similar
• 3+ years of experience building, deploying, and operating machine learning systems in production environments