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Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Machine Learning Engineer, Global Supply Chain

직무머신러닝
경력미들급
위치Fremont, California, United States
근무오피스 출근
고용정규직
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필수 스킬

Python

PyTorch

TensorFlow

Machine Learning

What To Expect
We are seeking a highly skilled Machine Learning Engineer to join the Supply Chain Engineering team. As a key member of the team, you will design, develop and iterate on agentic solutions that solve for key internal workstreams built onto data from various data sources. You will be responsible for developing, maintaining and deploying forecasting, optimization, and recommendation algorithms.

What You'll Do

  • Design, develop, and implement machine learning models for supply chain forecasting, including demand prediction, inventory optimization and risk assessment using techniques like supervised learning, convolutional neural networks, and tools such as PyTorch and Pandas
  • Collaborate with supply chain planners to integrate ML models into existing platforms, ensuring real-time decision making for supplier selection, warehouse allocation, reduce costs and mitigate part availability risks
  • Perform model validation and performance monitoring to ensure models maintain high accuracy
  • Take ownership of production models, ensuring robust alerting systems for rapid issue resolution
  • Work with diverse, heterogeneous datasets (supply, demand, seasonal variation) to build scalable solutions
  • Translate ambiguous problem statements into actionable, end-to-end machine learning models
  • Follow agile development practices and maintain high standards for clean, modular, and sustainable code


  • What You'll Bring

  • Proven experience in scaling and optimizing inference for large ML models, particularly transformers or similar architectures
  • Familiarity with quantization-aware training, model compression, and distillation for edge and real-time inference
  • Proficiency with Python and C++ and deep learning frameworks such as PyTorch, TensorFlow, or JAX
  • Strong understanding of computer systems and architecture, with experience deploying ML models on GPUs, TPUs, or NPUs
  • Hands-on expertise with CUDA programming, low-level performance profiling, and compiler-level optimization (TensorRT, TVM, XLA)


  • Benefits
    Compensation and Benefits
    Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
  • Medical plans > 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 Accounts) HSA Contribution when enrolled in the High-Deductible 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 (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly 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

    $140,000 - $210,000/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.

    , Tesla

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    Tesla 소개

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    직원 수

    Ciudad De Panamá

    본사 위치

    $800B

    기업 가치

    리뷰

    10개 리뷰

    3.8

    10개 리뷰

    워라밸

    2.3

    보상

    4.0

    문화

    3.2

    커리어

    4.1

    경영진

    2.8

    65%

    지인 추천률

    장점

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Good compensation and benefits

    단점

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    연봉 정보

    1,403개 데이터

    Junior/L3

    Mid/L4

    Senior/L5

    Junior/L3 · Data Annotation Specialist

    373개 리포트

    $49,465

    총 연봉

    기본급

    $49,465

    주식

    -

    보너스

    -

    $35,995

    $67,975

    면접 후기

    후기 4개

    난이도

    3.5

    / 5

    소요 기간

    14-28주

    경험

    긍정 0%

    보통 75%

    부정 25%

    면접 과정

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    자주 나오는 질문

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts