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Internship, Machine Learning Engineer, NVH

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Tesla

Today

  • Internship
    Full-time
    Off-cycle Internship
  • Engineering
    IT & Cybersecurity
  • Fremont

AI generated summary

  • You must be pursuing a relevant degree, have strong Python and C++ skills, deep learning knowledge, neural network fluency, experience with PyTorch or TensorFlow, and a track record of research projects.
  • You will develop audio algorithms, create automated data pipelines, scale solutions for global deployment, and collaborate with teams to integrate processes into production.

Requirements

  • Currently pursuing a degree in Data Science, Computer Science, Computer Engineering, or related degree
  • Strong experience with Python, C++, and software engineering best practices
  • An “under the hood” knowledge of deep learning: layer details, loss functions, optimization, etc.
  • Fluency with common neural network architectures for audio event detection and classification
  • Experience with PyTorch, or another major deep learning framework such as TensorFlow
  • Experience with data manipulation tools including jupyter notebooks, numpy, scipy, matplotlib, scikit-learn, Python & Bash scripting, Linux environment
  • Record of driving research projects from start to end, including conception, experimentation, iteration, and integration into a working product

Responsibilities

  • Develop and implement audio algorithms that will enable advanced diagnostics for Tesla products.
  • Design and develop automated data generation pipelines that create various high quality ground truth data for real-world perception problems.
  • Deploy and scale your work across millions of Tesla vehicles worldwide.
  • Collaborate with our manufacturing and audit teams to seamlessly integrate your algorithms into our production processes.

FAQs

What is the expected duration of the internship?

The internship is expected to start around January or February 2025 and continue through the entire Spring term (i.e., through May 2025) or into Spring/Summer 2025 if available, with a minimum of 12 weeks required.

Is this internship position full-time?

Yes, the internship requires a full-time commitment of 40 hours per week on-site.

Are international students eligible to apply?

Yes, international students can apply; however, if your work authorization is through CPT, you should consult your school about your ability to work 40 hours per week before applying.

What qualifications are required for this position?

Candidates should be currently pursuing a degree in Data Science, Computer Science, Computer Engineering, or a related field, and should have strong experience with Python, C++, deep learning knowledge, and experience with data manipulation tools.

Will I have the chance to work on real projects?

Yes, interns at Tesla will be included in critical projects that contribute to their team’s success, allowing them to gain practical experience.

What type of work will I be doing in this role?

As a Machine Learning Engineer intern, you will develop and implement audio algorithms for advanced diagnostics, design automated data generation pipelines, and collaborate with manufacturing teams to integrate your work into production processes.

Is there potential for a full-time position after the internship?

While the description does not explicitly mention potential for full-time employment, many internships at Tesla aim to develop future talent for full-time roles.

What benefits can interns expect during their tenure?

Interns are eligible for various benefits including medical, dental, and vision plans, healthcare and dependent care flexible spending accounts, 401(k), employee discounts, and more.

What is the expected compensation for this internship?

The expected compensation ranges from $20.00 to $50.00 per hour, depending on individualized factors such as knowledge, skills, and experience.

How does Tesla approach diversity and inclusion in hiring?

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace, ensuring all qualified applicants receive consideration without regard to race, color, religion, sex, and other protected factors.

Tesla

Tesla’s mission is to accelerate the world’s transition to sustainable energy.

Automotive
Industry
10,001+
Employees
2003
Founded Year

Mission & Purpose

Tesla’s mission is to accelerate the world’s transition to sustainable energy through increasingly affordable electric vehicles in addition to renewable energy generation and storage. California-based Tesla is committed to having the best-in-class in safety, performance, and reliability in all Tesla cars. There are currently over 275,000 Model S, Model X and Model 3 vehicles on the road worldwide. To achieve a sustainable energy future, Tesla also created infinitely scalable energy products: Powerwall, Powerpack and Solar Roof. As the world’s only vertically integrated energy company, Tesla continues to innovate, scale and reduce the costs of commercial and grid-scale systems, with the goal of ultimately getting us to 100% renewable energy grids.