At Toyota Research Institute (TRI) - were on a mission to improve the quality of human life. Were developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility - weve built a world-class team in Human-Centered AI - Human Interactive Driving - Energy and Materials - Machine Learning - and Robotics.The Challenge...Batteries are the heart of the electric vehicle and critical for Toyota to meet our carbon neutral climate goals. Over the next several years - Toyota is making multi-billion dollar investments in new battery manufacturing technology and facilities. At TRI - we are working to optimize production to make better - safer - and cheaper batteries. We are working across Toyota to solve complex problems at the intersection of big data - electrochemistry - machine learning - and manufacturing.The TeamWe welcome you to join a unique team of scientists and engineers dedicated to enabling a sustainable future. You will be a part of the Energy and Materials (E&M) division which is accelerating Toyotas path to carbon neutrality. In addition to our work on battery manufacturing - the division creates tools to accelerate the design and discovery of new energy materials and provides strategic thinking on carbon neutral pathways and technologies. At TRI - you will collaborate with materials science - behavioral science - and computer science experts. We all grow working alongside other great people and constantly learn new skills together.The OpportunityWe are looking for someone who can work across disciplines in an environment that brings novel research to the factory floor. You will be designing and building tools that can: Bring data to life and put machine learning in the hands of battery engineers. Bring new ideas from research to practice - and evaluate their potential value. Design and build new data architectures appropriate for the factory floor.Responsibilities Work with scientists and manufacturing engineers to integrate disparate data sources from constrained environments. Build tools to analyze manufacturing and battery data to discover opportunities for process improvement. Use quantitative models to build root cause analysis tools for production issues.Qualifications Bachelors Degree in a scientific field or equivalent practical experience. 3+ years of relevant industry experience in software development. Strong proficiency in Python - SQL - and familiarity with numerical computing and/or data engineering and orchestration tools (Airflow - Numpy - Pandas - Spark - etc). Familiarity with scikit-learn - Keras - Tensorflow - or other machine learning tools.The pay range for this position at commencement of employment is expected to be between $151 - 800 and $210 - 000/year for California-based roles; however - base pay offered may vary depending on multiple individualized factors - including market location - job-related knowledge - skills - and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits - such as vacation - sick time - and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute - Inc. or its subsidiaries - including Toyota A.I. Ventures GP - L.P. - and the purposes for which we use such personal information.TRI is fueled by a diverse and inclusive community of people with unique backgrounds - education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all - without regard to an applicants race - color - creed - gender - gender identity or expression - sexual orientation - national origin - age - physical or mental disability - medical condition - religion - marital status - genetic information - veteran status - or any other status protected under federal - state or local laws
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