ZipRecruiter

Log In

1

Tesla Machine Learning Engineer Jobs (NOW HIRING)

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Advatix Inc.

Machine Learning Engineer

San Mateo, CA · On-site

$110K - $165K/yr

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift: N/A Location: San Mateo, CA (Peninsula) - Onsite Preferred Schedule: Full time, Permanent Role Visa ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...

innovitusa

Machine Learning Engineer

Atlanta, GA · On-site

W2 Candidates Only We are seeking a Machine Learning Engineer to develop, deploy, and optimize machine learning models and AI solutions. The ideal candidate will have strong experience with Python ...

1 point system

Machine Learning Engineer

Fort Mill, SC · Remote

$48/hr

Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks NLP Python AZURE Pytorch or tensorflow Machine Learning Engineer / AI Engineer Role Role Overview ...

Quantum Machines

Machine Learning Engineer

We are looking for a Machine Learning Engineer to design, build, and deploy machine learning systems that improve the calibration, control, and operation of quantum processors. In this role, you will ...

Constellation Space

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that ...

previous pagenext page

Showing results 21-40

All JobsTechnology JobsData JobsData Scientist JobsTesla Machine Learning Engineer Jobs

Tesla Machine Learning Engineer information

See salary details

$31.5K

$128.8K

$193.5K

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

As of Sep 10, 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 is a Tesla machine learning engineer?

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 as a Tesla machine learning engineer?

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.

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 are popular job titles related to Tesla Machine Learning Engineer jobs?

For Tesla Machine Learning Engineer jobs, the most frequently searched job titles are:

Tesla Machine Learning Engineer jobs near you
Infographic showing various Tesla Machine Learning Engineer job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer

Pleasanton, CA • On-site

Indotronix International Corporation
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Indotronix International Corporationexternal

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Machine Learning Engineer (Azure Focus) - Remote (PST)
[About the Role]
Join GAP as a Machine Learning Engineer and lead the development, deployment, and optimization of innovative AI solutions in a fully remote environment. This six-month contract opportunity is tailored for engineers with a passion for hands-on machine learning in Microsoft Azure production settings. Collaborate with talented teams to create real business impact by delivering robust, scalable models for enterprise applications.
[Responsibilities]
- Design, build, and deploy machine learning models using neural networks and NLP techniques to solve business challenges
- Manage the complete ML lifecycle: data preparation, model selection, training, evaluation, deployment, and ongoing performance monitoring
- Leverage Python and ML frameworks (TensorFlow, PyTorch, Keras) to develop, optimize, and maintain models
- Implement MLOps best practices, including CI/CD pipelines, model versioning, and automated retraining in Azure environments
- Collaborate cross-functionally with data scientists, engineers, and stakeholders to deliver production-ready AI solutions
- Utilize Azure Machine Learning, Azure DevOps, and Azure Databricks for end-to-end ML operations
[Required Skills and Experience]
- Proven track record developing and deploying machine learning models into Microsoft Azure cloud platforms
- Hands-on expertise with neural networks and NLP methods (text classification, sentiment analysis, entity extraction, chatbots, or language models)
- Advanced proficiency in Python; practical experience with R and SQL for data extraction and statistical modeling
- Deep understanding of supervised and unsupervised learning algorithms, model evaluation, and optimization
- Mastery of modern ML frameworks (TensorFlow, PyTorch, Keras) in production
- Demonstrable experience in MLOps: CI/CD for ML, model monitoring, version control, retraining, and production support
[Preferred Skills]
- Experience with Azure Databricks, Azure Functions, and Azure Pipelines
- Familiarity with containerization (Docker/Kubernetes) for scalable ML deployments
- Strong feature engineering and ML pipeline automation skills
[Benefits]
- 100% remote work-collaborate with a diverse team from anywhere within PST hours
- Opportunity for contract extension and career progression on impactful enterprise AI projects
- Exposure to best-in-class Azure ML infrastructure and enterprise DevOps practices
[How to Apply]
Excited to build and deploy cutting-edge AI solutions in Azure? Submit your resume now. Qualified candidates will be contacted for an initial screening and technical interview.
Indotronix logo

About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

View All Indotronix Jobs

Apply