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Machine Learning Automation Engineer
1 month ago
As a Machine Learning Automation Engineer on the Behavioral Automated Triage team, you will interrogate data at scale, perform data engineering, leverage deep learning models (i.e. foundation models and language models), and respond to the evolving data needs at Zoox. In this role, you will:
- Design, develop, and improve machine learning/deep learning-based algorithms on large-scale data to automate test and triage work processes
- Work across various technical disciplines involving data science, machine learning, autonomous drive planning, and quality assurance
- Build tools and infrastructure to monitor the performance of your algorithms in production and use those tools to improve their performance continuously
- Master's Degree in STEM field and 5+ years of experience involving machine learning, natural language processing, or deep learning
- A strong background in algorithms, data structures, and data manipulation
- Proficiency in one of the following languages: Python, Scala, Pyspark
- Experience with Deep Learning packages like PyTorch, TensorFlow, and HuggingFace transformers
- Experience with cloud computing platforms and frameworks such as DataBricks and AWS
- PhD in STEM field and 2+ years of research experience involving machine learning, natural language processing, or deep learning are highly preferred
- Experience with data visualization tools like Looker/Dash/Databricks Dashboards
- Experience in autonomous driving, robotics, or academic science
About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.