Tesla Motors, Inc.
Sr. Machine Learning Engineer, Charging Data Modeling
Tesla Motors, Inc., Palo Alto, California, United States, 94306
What to Expect
We are the charging-data-modeling team that uses data analytics and machine learning to bridge the engineering, service, deployment and operation of Tesla's charging infrastructure and to enhance the charging experience worldwide.
With over 70,000 Superchargers and several thousand destination charging sites around the world, Tesla's charging solution aims to accelerate the world's transition to sustainable energy by enabling electric mobility without compromises.
We use large-scale data analysis and machine learning models to decide the deployment of the charging infrastructure in terms of location, timing and quantity. We build algorithms that power the vehicle UI features for enhancing the charging experience while minimizing the charging costs to customers.
What You'll Do
Use statistical analysis to extract insights on fleet usage, trends, performance
Improve data-driven decision making through rigorous data analysis, machine learning modeling and clear communication with stakeholders
Leverage insights to inform planning and optimization of the EV infrastructure
Design, prototype, and production algorithms that drives customer UI features, and pricing signals
Build reliable, fast, and dynamic data tools, and data pipelines
What You'll Bring
Degree in a quantitative field (e.g., Math, Statistics, Computer Science, Data Science, Engineering) or equivalent in experience and evidence of exceptional ability
Strong programming skills with a solid foundation in data structures and algorithms
Proficiency in data analysis, modeling in Python
Proficiency in SQL relational databases and/or NoSQL databases
Experience with statistical data analysis and machine learning
Background in machine learning with experience in using both supervised and unsupervised models is preferred
Experience with timeseries or geospatial datasets is preferred
Experience with experiment design and causal inference methods is preferred
Experience with Spark, Hadoop and streaming data is preferred
Quantitative projects available online (github, blog posts, etc.) are preferred
Compensation and Benefits Benefits Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
Family-building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts (FSA)
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company paid Basic Life, AD&D, short-term and long-term disability insurance
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions), and Paid Holidays
Back-up childcare and parenting support resources
Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program
Expected Compensation $124,000 - $240,000/annual salary + cash and stock awards + benefits. Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
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With over 70,000 Superchargers and several thousand destination charging sites around the world, Tesla's charging solution aims to accelerate the world's transition to sustainable energy by enabling electric mobility without compromises.
We use large-scale data analysis and machine learning models to decide the deployment of the charging infrastructure in terms of location, timing and quantity. We build algorithms that power the vehicle UI features for enhancing the charging experience while minimizing the charging costs to customers.
What You'll Do
Use statistical analysis to extract insights on fleet usage, trends, performance
Improve data-driven decision making through rigorous data analysis, machine learning modeling and clear communication with stakeholders
Leverage insights to inform planning and optimization of the EV infrastructure
Design, prototype, and production algorithms that drives customer UI features, and pricing signals
Build reliable, fast, and dynamic data tools, and data pipelines
What You'll Bring
Degree in a quantitative field (e.g., Math, Statistics, Computer Science, Data Science, Engineering) or equivalent in experience and evidence of exceptional ability
Strong programming skills with a solid foundation in data structures and algorithms
Proficiency in data analysis, modeling in Python
Proficiency in SQL relational databases and/or NoSQL databases
Experience with statistical data analysis and machine learning
Background in machine learning with experience in using both supervised and unsupervised models is preferred
Experience with timeseries or geospatial datasets is preferred
Experience with experiment design and causal inference methods is preferred
Experience with Spark, Hadoop and streaming data is preferred
Quantitative projects available online (github, blog posts, etc.) are preferred
Compensation and Benefits Benefits Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
Family-building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts (FSA)
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company paid Basic Life, AD&D, short-term and long-term disability insurance
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions), and Paid Holidays
Back-up childcare and parenting support resources
Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program
Expected Compensation $124,000 - $240,000/annual salary + cash and stock awards + benefits. Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
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