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Tesla Machine Learning Engineer Jobs in Texas (NOW HIRING)

ExtendMyTeam

Machine Learning Engineer

Austin, TX

Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI-enabled solutions that improve software delivery workflows, automate operational processes, and ...

Cymertek

Machine Learning Engineer

San Antonio, TX

Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a talented and innovative ...

Avride

Machine Learning Engineer

Austin, TX

About the Role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

Apple

Machine Learning Engineer

Austin, TX · On-site

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

Q2

Machine Learning Engineer

Austin, TX

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

Avride

Machine Learning Engineer

Austin, TX · On-site

About the Role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building and scaling our AI-powered logistics solutions. You'll design, develop, and maintain the data ...

Apple

Machine Learning Engineer

Austin, TX · On-site

$132.10K - $244.60K/yr

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

Apple

Machine Learning Engineer

Austin, TX

$132.10K - $244.60K/yr

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

Apple

Machine Learning Engineer

Austin, TX

$132.10K - $244.60K/yr

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

Capital One

Senior Machine Learning Engineer

Plano, TX · On-site +1

$100K - $137.30K/yr

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

PayPal

Machine Learning Engineer

Austin, TX

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

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Tesla Machine Learning Engineer information

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$29.3K

$120K

$180.3K

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

As of May 29, 2026, the average yearly pay for tesla machine learning engineer in Texas is $119,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $144,400.00 per year, depending on experience, location, and employer.

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 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 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.
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Tesla Machine Learning Engineer jobs near you
Infographic showing various Tesla Machine Learning Engineer job openings in Texas as of May 2026, with employment types broken down into 93% Full Time, 6% Contract, and 1% Nights. Highlights an 10% Physical, 89% Hybrid, and 1% Remote job distribution, with an average salary of $119,968 per year, or $57.7 per hour.
Sr. Machine Learning Engineer, Cell Manufacturing

Sr. Machine Learning Engineer, Cell Manufacturing

Tesla

Austin, TX • On-site

$90.20K - $123.40K/yr

Full-time

Posted 2 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers

Job description

Job Summary:
Tesla is re-thinking battery manufacturing from first principles, seeking research-minded engineers who can bridge rigorous theory and statistical methods with real-world factory impact. In this role, you will apply advanced machine learning to optimize yield, quality, and production efficiency in the Global Cell Manufacturing Analytics team at Giga Texas.
Responsibilities:
• Develop and productionize ML models for key manufacturing problems such as defect detection, anomaly identification, yield forecasting, and process optimization
• Conduct in-depth statistical analysis and feature engineering on complex time-series, sensors, and process datasets while preventing issues like temporal or batch leakage
• Implement full-lifecycle solutions including validation frameworks, drift monitoring, conditional retraining, and metrics linked to factory cost and performance
• Collaborate cross-functionally with process, quality, and materials experts to ensure models are grounded and deliver sustainable results
Qualifications:
Required:
• Degree in a quantitative field such as Applied Mathematics, Physics, Electrical/Systems Engineering, Statistics, Machine Learning, or equivalent experience
• 3+ years of relevant experience applying ML to complex, sensor-rich, or data-intensive problems (research, industrial, or scientific environments preferred)
• Research-oriented mindset with proven experience applying strong ML and statistical fundamentals to challenging data-intensive problems
• Proficiency in PyTorch or equivalent for scientific modeling, going well beyond basic tabular models; experience with vision models preferred
• Hands-on expertise across the full ML lifecycle, including temporal validation, leakage prevention, class imbalance, and production monitoring
• Strong communication skills and the ability to rapidly absorb manufacturing domain knowledge
• Demonstrated research or publication record in ML for complex systems or sensor data (strongly preferred)
Preferred:
• Experience with industrial or physical datasets in manufacturing, energy, or semiconductor environments
• Familiarity with optimization or physics-informed modeling
• Industrial manufacturing experience is a plus but not required
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

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