ML Ops Engineer
August 6
🏢 In-office - Bay Area
Description
• Work with our rich store of proprietary radar, lidar, and camera data, and take ownership of our associated ETL / data transformation pipelines • Take meaningful ownership over the responsibilities mentioned above, continually working to improve and expand the systems we already have in place • Collaborate with the Machine Learning / Radar Perception team and the DevOps team to build out new capabilities and scale our existing capabilities to new heights
Requirements
• 3+ years of hands-on experience with cloud computing platforms (AWS, GCP, or Azure) • Broad knowledge of data engineering and ML ops tools (Airflow, kubernetes, docker) • Strong engineering skills in Python and SQL • Excellent communication and organizational skills • Eagerness to challenge yourself, learn new skills, and adapt as the company grows.
Benefits
• Competitive salary ranging from $125-165k annually depending on experience • Performance based Bonus • Benefits including medical, dental, and vision insurance, flexible PTO, and equity • Hybrid work model: in office 3 days per week, the rest… work from wherever! • Daily catered lunch and a stocked fridge (when working in the Berkeley, CA office)
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