Fleet Analytics Engineer Jobs

1 job found

Today

Staff Machine Learning Engineer, Energy & Charging

Tesla Palo Alto, CA

Palo Alto, CA

Today

$100k - $270k/yr Full time Analytics Artificial Intelligence Data Analysis

Apply Now

Job Description

Benefits

Medical plans with multiple options and no employee premium deduction
Family-building, fertility, adoption and surrogacy benefits
Dental and vision coverage with no required employee contribution
Company paid Health Savings Account (HSA) contribution when enrolled in a high-deductible plan with HSA
Health Care and Dependent Care Flexible Spending Accounts (FSA)
401(k) with employer match, Employee Stock Purchase Plan, and additional financial benefits
Company-paid Basic Life and AD&D insurance
Short-term and long-term disability insurance (90 day waiting period)
Employee Assistance Program
Sick and vacation time, with flex time for salaried roles and accrued hours for hourly positions, plus paid holidays
Back-up childcare and parenting support resources
Voluntary benefits such as 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

What to Expect

This onsite role in Palo Alto, CA focuses on building predictive life models for charging and energy products. You will work with large-scale real-time datasets drawn from tests, manufacturing, and fleet operations to develop machine learning models that support prognostics and targeted design actions. Your work will influence products used by millions of Tesla customers.

Responsibilities

Design, develop, train, and deploy predictive and control models of physical degradation, usage, and system performance
Build robust, flexible, and automated software tools for complex real-time fleet analysis
Design scalable and reliable data pipelines to productionize and monitor both new and existing models
Translate complex business requirements and research findings into actionable insights and data-driven solutions
Conduct research and stay current on AI/ML developments, with emphasis on physics-informed AI, to rapidly test and prototype new ideas

Requirements

Production-quality Python code, experience with major deep learning frameworks, and software engineering best practices
Practical C programming experience to integrate with firmware and bring ideas to shipped products
Experience working with and optimizing large datasets, data pipelines, and AI models
Strong foundation in linear algebra, probabilistic theory, numerical optimization, and deep learning, with hands-on implementation
General knowledge of physics and engineering principles

Technologies

Python
C
Major deep learning frameworks

Compensation

Expected compensation: USD 100,000 - 270,000 per year, plus cash and stock awards and benefits. Pay may vary based on location, knowledge, skills and experience. The total compensation may include additional elements; details of benefit plan participation will be shared if an offer is extended.

View full job page →

Get Job Alerts

New jobs delivered to your inbox.