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Tesla Machine Learning Engineer Jobs (NOW HIRING)

RIT Solutions

Machine Learning Engineer

Fremont, CA

Fremont, CA Duration: 12+ Months Tesla/ $65 About the Role Our direct client is seeking a highly skilled Machine Learning Engineer to join their Software Machine Learning and Computer Vision team. In ...

HeyMilo AI

Machine Learning Engineer

Manhattan, NY

Machine Learning Engineer Company: HeyMilo AI Location: New York, NY, USA Contract Details: Full-time HeyMilo AI is a fast-growing startup based in New York City that specializes in developing ...

Forhyre

Machine Learning Engineer

New York, NY · On-site

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

RAPID EAGLE INC

Machine Learning Engineer

Sunnyvale, CA · Remote

$70 - $80/hr

Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that ...

Full Scope

Machine Learning Engineer

Reston, VA

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join ...

Paylocity

Machine Learning Engineer

Schaumburg, IL · On-site

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...

Paylocity

Machine Learning Engineer

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...

Compunnel

Machine Learning Engineer

Plano, TX · On-site

Job Summary We are seeking a Machine Learning Engineer with strong expertise in machine learning model development, data engineering, and modern cloud-based analytics platforms. This role will focus ...

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All JobsTesla Machine Learning Engineer Jobs

Tesla Machine Learning Engineer information

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$31.5K

$128.8K

$193.5K

How much do tesla machine learning engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for tesla machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Tesla Machine Learning Engineer position, and why are they important?

To thrive as a Tesla Machine Learning Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree and practical experience with AI models. Proficiency with programming languages like Python or C++, deep learning frameworks such as TensorFlow or PyTorch, and experience with cloud-based computing platforms are typically required. Strong problem-solving abilities, collaboration, and effective communication set top candidates apart in a team-oriented, innovative environment. These skills and qualities are crucial for developing robust AI solutions that drive Tesla's cutting-edge technologies and support its mission of advancing sustainable transport.

What is a Tesla Machine Learning Engineer job?

A Tesla Machine Learning Engineer develops and optimizes AI models for applications such as autonomous driving, manufacturing automation, and energy management. They work with large datasets, train deep learning models, and deploy solutions to improve Tesla’s technologies. The role involves collaboration with software engineers, data scientists, and hardware teams to enhance performance and efficiency. Strong programming skills, proficiency in frameworks like TensorFlow or PyTorch, and experience with real-world machine learning deployment are essential.

What are the most common challenges faced by Tesla Machine Learning Engineers, and how are they addressed?

Tesla Machine Learning Engineers often tackle challenges such as processing large-scale data sets, optimizing models for real-time performance, and accommodating frequent changes in project requirements. These challenges are addressed by leveraging Tesla’s high-performance computing resources, working closely with cross-functional teams—including hardware, software, and data engineering—and continuously iterating on solutions. The collaborative culture at Tesla encourages knowledge sharing and innovative problem-solving, helping engineers adapt quickly. If you're motivated by complex challenges and rapid innovation, you'll find opportunities to learn and grow while making direct impacts on disruptive products.

More about Tesla Machine Learning Engineer jobs
What cities are hiring for Tesla Machine Learning Engineer jobs? Cities with the most Tesla Machine Learning Engineer job openings:
What are the most commonly searched types of Tesla Machine Learning Engineer jobs? The most popular types of Tesla Machine Learning Engineer jobs are:
What states have the most Tesla Machine Learning Engineer jobs? States with the most job openings for Tesla Machine Learning Engineer jobs include:
What job categories do people searching Tesla Machine Learning Engineer jobs look for? The top searched job categories for Tesla Machine Learning Engineer jobs are:
Tesla Machine Learning Engineer jobs near you
Infographic showing various Tesla Machine Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
Machine Learning Engineer

Machine Learning Engineer

RIT Solutions

Fremont, CA

Other

Posted 14 days ago

Job description

Machine Learning Engineer

Location: Fremont, CA Duration: 12+ Months Tesla/ $65

About the Role

Our direct client is seeking a highly skilled Machine Learning Engineer to join their Software Machine Learning and Computer Vision team. In this role, you will be responsible for designing, developing, and deploying advanced machine learning solutions that support factory and warehouse operations. You will transform complex and ambiguous business challenges into scalable, end-to-end solutions using a variety of machine learning techniques, including supervised learning, computer vision, and deep learning frameworks such as PyTorch. The ideal candidate will collaborate closely with cross-functional teams across Production, Process Engineering, Controls, and Quality to address critical operational challenges. This position requires hands-on experience with model development, deployment, monitoring, and maintenance in production environments, as well as the ability to work with diverse and multi-modal datasets, including images, sensor data, voice, text, and structured data.

Key Responsibilities
  • Design, develop, and deploy machine learning models to enhance factory and warehouse operations.
  • Partner with cross-functional stakeholders to identify and solve high-impact operational challenges.
  • Build and maintain end-to-end machine learning pipelines, including data ingestion, preprocessing, model training, deployment, and monitoring.
  • Evaluate and benchmark machine learning models using statistical methodologies to ensure optimal performance and business value.
  • Develop robust monitoring and alerting mechanisms to ensure reliability and rapid issue resolution for production models.
  • Integrate and analyze heterogeneous datasets, including image data, sensor outputs, voice recordings, text, and tabular datasets.
  • Write clean, scalable, and maintainable code to translate research concepts into production-ready solutions.
Required Qualifications
  • Strong proficiency in Python, particularly for high-performance and data-intensive applications.
  • Hands-on experience with at least one modern deep learning framework, such as PyTorch, JAX, or TensorFlow.
  • Expertise in one or more of the following domains:
    • Computer Vision
    • Large Language Models (LLMs)
    • Recommender Systems
    • Operations Research
  • Solid understanding of statistics and experimental methods for model evaluation and comparison.
  • Proven experience deploying, monitoring, and maintaining machine learning solutions in production environments.
  • Strong commitment to writing clean, modular, and sustainable code.
Preferred Qualifications
  • Experience working within manufacturing, industrial automation, logistics, or warehouse environments.
  • Familiarity with multi-modal data processing and integration techniques.
  • Strong analytical and problem-solving abilities with the capacity to thrive in fast-paced and ambiguous environments.
  • Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams.

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