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Senior Tesla Machine Learning Engineer Jobs in Jackson, MS

Hitachi

Senior Transformer Engineer

Crystal Springs, MS · On-site +1

$87K - $120K/yr

Engineering & Science Job Schedule: Full time Remote: Yes Senior Transformer Engineer The ... Access to learning platforms and career development programs * Competitive health and retirement ...

Hitachi

Senior Manufacturing Engineer

Crystal Springs, MS · On-site

$76K - $104K/yr

No Senior Manufacturing Engineer (Crystal Springs, MS) The Opportunity In this role, you will ... Access to learning platforms and career development programs * Attractive health and retirement ...

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Senior Tesla Machine Learning Engineer information

See Jackson, MS salary details

$51.9K

$110.3K

$159.9K

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

As of Jul 14, 2026, the average yearly pay for senior tesla machine learning engineer in Jackson, MS is $110,285.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,100.00 and $125,000.00 per year, depending on experience, location, and employer.

How does a Senior Machine Learning Engineer at Tesla typically collaborate with cross-functional teams?

As a Senior Machine Learning Engineer at Tesla, you will frequently work alongside software developers, data scientists, product managers, and hardware engineers. Collaboration is highly cross-functional, with regular meetings to align on project goals, data requirements, and model deployment strategies. You may be involved in translating business objectives into machine learning solutions, sharing insights with non-technical stakeholders, and refining algorithms based on feedback from various departments. This collaborative environment fosters innovation and ensures that machine learning models are well-integrated into Tesla's products and systems.

What are the key skills and qualifications needed to thrive as a Senior Tesla Machine Learning Engineer, and why are they important?

To thrive as a Senior Tesla Machine Learning Engineer, you need deep expertise in machine learning algorithms, strong programming skills in Python or C++, and a proven track record in deploying models at scale, often supported by an advanced degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience working with large datasets, and cloud computing platforms are typically required, as well as knowledge of Tesla's proprietary systems. Exceptional problem-solving, collaboration, and communication skills distinguish top performers in this role. These abilities are crucial for developing advanced AI solutions that power Tesla's autonomous systems and for driving innovation in a highly competitive, fast-evolving environment.

What is the difference between Senior Tesla Machine Learning Engineer vs Data Scientist?

AspectSenior Tesla Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models for autonomous vehicles, energy, and manufacturingAnalyzes data to extract insights, supports product and business decisions
Employer & Industry UsageTesla, automotive, energy, AI projectsVarious industries including tech, finance, healthcare

While both roles involve working with data and algorithms, the Senior Tesla Machine Learning Engineer focuses on developing and deploying machine learning models for Tesla's products, especially autonomous systems. In contrast, a Data Scientist primarily analyzes data to inform business decisions across various industries. The ML Engineer role requires deeper expertise in machine learning frameworks and deployment, whereas Data Scientists focus more on statistical analysis and data visualization.

What does a Senior Tesla Machine Learning Engineer do?

A Senior Tesla Machine Learning Engineer leads the development and deployment of advanced machine learning models to improve Tesla’s products, such as Autopilot, Full Self-Driving, and manufacturing optimization. They collaborate with multidisciplinary teams to collect data, design algorithms, and ensure models are robust and scalable. In this role, engineers are expected to mentor junior staff, drive research initiatives, and help translate cutting-edge AI advancements into real-world Tesla applications.
What are the most commonly searched types of Tesla Machine Learning Engineer jobs in Jackson, MS? The most popular types of Tesla Machine Learning Engineer jobs in Jackson, MS are:
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Senior Tesla Machine Learning Engineer jobs near you
Architect - Azure Solutions Architect and Administrator

Architect - Azure Solutions Architect and Administrator

Noblesoft Technologies

Jackson, MS • On-site

$55.25 - $72/hr

Contractor

Re-posted 12 days ago

Job description

Role: Architect - Azure Solutions Architect and Administrator

Location: Jackson, MS 39211 – Onsite 

Duration: 1 year with possible extension 

Required Skills:

To be considered, all proposed consultants must meet the following mandatory requirements:

  • A four-year degree from an accredited school in Computer Science, Information Technology, or like field.
  • Five (5) years or more of direct and specific experience creating Azure environments and migrating systems and services from on-prem to the cloud.
  • Five (5) years or more of direct Azure solutions architect experience.
  • Five (5) years or more of DevOps engineering experience.
  • Five (5) years or more of experience driving cloud security, privacy, and compliance decisions.
  • Five (5) years or more network administration skills.
  • Documentation and knowledge transfer experience.
  • Excellent English-speaking skills, written communication skills, and knowledge transfer skills

Preferred Skills:

Mainframe administration experience, zLinux, Red Hat, Ubuntu, SUSE, AI and machine learning, and application monitoring.