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Full Time Tesla Machine Learning Engineer Jobs (NOW HIRING)

ManTech International

Machine Learning Engineer

$128K - $214K/yr

... Type Full time Description & Requirements Elevate your career with MANTECH International ... The Machine Learning Engineer will leverage their strong technical background and knowledge to ...

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 ...

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 ...

Givzey

Machine Learning Engineer

Machine Learning Engineer We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions. In this role, you'll have the opportunity ...

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

We're looking for an exceptional Machine Learning Engineer to help build the systems that make this ... full-time employees. Working at Poesis As an early team member, you'll help shape not just the ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform ...

Quantum Machines

Machine Learning Engineer

Chicago, IL · On-site

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 ...

Pattern AI

Machine Learning Engineer

San Mateo, CA

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

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All JobsTesla Machine Learning Engineer JobsFull Time Tesla Machine Learning Engineer Jobs

Full Time Tesla Machine Learning Engineer information

See salary details

$31.5K

$128.8K

$193.5K

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

As of Jul 11, 2026, the average yearly pay for full time 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 the difference between Full Time Tesla Machine Learning Engineer vs Full Time Tesla Data Scientist?

AspectFull Time Tesla Machine Learning EngineerFull Time Tesla Data Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related field; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models for autonomous driving, energy, and manufacturingAnalyzes data to inform business decisions, optimize processes
Employer & Industry UsageTesla's AI and autonomous vehicle teamsTesla's data analytics and business intelligence teams

While both roles require strong technical skills and experience with data, Tesla Machine Learning Engineers focus on developing and deploying ML models for autonomous systems, whereas Tesla Data Scientists analyze data to support strategic decisions. The roles overlap in skills but differ in application and focus.

More about Full Time Tesla Machine Learning Engineer jobs
What cities are hiring for Full Time Tesla Machine Learning Engineer jobs? Cities with the most Full Time 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 Full Time Tesla Machine Learning Engineer jobs? States with the most job openings for Full Time Tesla Machine Learning Engineer jobs include:
What job categories do people searching Full Time Tesla Machine Learning Engineer jobs look for? The top searched job categories for Full Time Tesla Machine Learning Engineer jobs are:
Full Time Tesla Machine Learning Engineer jobs near you
Infographic showing various Full Time Tesla Machine Learning Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
Machine Learning Engineer

Machine Learning Engineer

AI Squared

Washington, DC

Full-time

Posted 20 days ago

Job description

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, maintaining, and monitoring the AI/ML systems that power our platform. You will work closely with data scientists, data engineers, and product teams to ensure scalable, reliable, and production-grade AI solutions. You'll play a critical role in operationalizing large language models (LLMs) and other ML systems, ensuring they run efficiently, securely, and with robust monitoring in place.

Key Responsibilities:
  • Design, implement, and maintain ML deployment pipelines for scalable production systems.
  • Operationalize large language models (LLMs) and other AI/ML models, ensuring high availability and reliability.
  • Build robust model monitoring, logging, and alerting systems to track performance and detect drift.
  • Partner with data scientists to transition models from research/prototype into production-ready deployments.
  • Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment.
  • Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed systems.
  • Apply containerization and orchestration (Docker, Kubernetes) to enable reproducible, scalable systems.
  • Collaborate with cross-functional teams to ensure ML systems align with platform goals and business requirements.
Qualifications:
  • 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role.
  • Proven experience deploying and maintaining machine learning models in production at scale.
  • Hands-on experience with ML lifecycle tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or similar).
  • Strong proficiency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow.
  • Deep knowledge of containerization (Docker) and orchestration (Kubernetes) for production ML systems.
  • Expertise with cloud platforms (AWS, GCP, Azure) for ML deployment and scaling.
  • Strong understanding of MLOps best practices, monitoring, and automation.
  • Excellent problem-solving skills, with an emphasis on building reliable, scalable systems.
  • Strong communication and collaboration skills across technical and non-technical teams.