Machine Learning Engineer - Battery Manufacturing Development, Optimus

Job Description

Job Responsibilities

• Leverage large-scale manufacturing data systems to extract key improvement insights and facilitate engineering investigations 

• Develop robust and scalable algorithms/ predictive models to improve manufacturing process and quality control capabilities  

• Collaborate with Software Engineers and Controls Engineers to seamlessly integrate models, algorithms, and LLM-based workflows into production processes 

• Develop and experiment with data acquisition and processing workflows to extract, clean, and store manufacturing process knowledge from structured and unstructured sources (e.g., logs, work instructions, failure reports) as high-quality context for RAG and LLM applications 

• Build self-serve data tools to empower data-driven manufacturing   

• Clearly convey analyses and findings for cross-functional stakeholders  

Job Requirements

• Strong experience with Python and SQL database queries 

• Proficiency with large volume data preprocessing and data wrangling  

• Strong mathematical/ statistical knowledge relevant to process control and monitoring  

• Experience with data warehouse and data lake technologies such as Clickhouse, S3 

• Experience with modern machine learning concepts and ML lifecycles 

• Proficiency with data visualization techniques and tools using Tableau, R Shiny, Python Dash, Plotly, etc. 

• Degree in quantitative fields such as Statistics, Data Science, Applied Mathematics, or equivalent experience