Sr. Staff Machine Learning Engineer

📋 Description

• Own end-to-end lifecycle of ML projects in production.
• Build, maintain, optimize data pipelines for model development at scale.
• Implement ML algorithms meeting performance, scalability, and reliability requirements in production.
• Collaborate with data scientists, engineers, and product teams to deploy ML systems that address business and product needs.
• Continuously monitor and improve model performance, conducting experiments, tuning hyperparameters, and ensuring models meet business objectives.
• Leverage distributed computing frameworks and cloud-based platforms to process large-scale datasets efficiently.

🎯 Requirements

• Master’s/PhD in CS or related field.
• 6+ years of ML engineering experience building and deploying models in production.
• Strong Python skills with ML libraries: TensorFlow, PyTorch, scikit-learn.
• Experience with cloud platforms (AWS/GCP/Azure) and distributed systems (Spark, Kubernetes).
• Proven end-to-end ML pipelines from preprocessing to deployment and monitoring.
• Model optimization, version control, and ML CI/CD practices.

🎁 Benefits

• Medical, dental, and vision coverage
• Company equity
• 401(k) with company match
• Unlimited PTO and 13 holidays
• Parental leave
• Free Flex subscription