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Senior Tesla Machine Learning Engineer Jobs in Farmington, MO

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Festus, MO · On-site

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Senior Tesla Machine Learning Engineer information

See Farmington, MO salary details

$53K

$112.6K

$163.3K

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

As of Aug 25, 2026, the average yearly pay for senior tesla machine learning engineer in Farmington, MO is $112,629.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $127,700.00 per year, depending on experience, location, and employer.

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 key skills and qualifications needed to thrive as a senior Tesla machine learning engineer?

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.

How does a senior Tesla machine learning engineer 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 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.

Infographic showing various Senior Tesla Machine Learning Engineer job openings in Farmington, MO as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $112,629 per year, or $54.1 per hour.

Adjunct Agriculture Mechanics & Mechanization Instructor

Park Hills, MO • On-site

Mineral Area College
501 - 1,000 employees

$670/hr

Part-time

Re-posted 12 days ago


Job description

Salary: $670.00 Hourly
Location : Park Hills
Job Type: Adjunct
Job Number: 202500032
Division: Provost
Department: Agriculture
Opening Date: 03/16/2026
Description
Position Summary
Provide instruction. Teach and assess student learning, contribute to department work, engage in professional development and contribute to shared governance obligations including accreditation. Will be responsible for providing instruction in introductory agricultural mechanics and agricultural mechanization courses within the agriculture program. The instructor will deliver classroom and laboratory instruction that supports student learning in agricultural equipment, tools, shop practices, and mechanized agricultural systems while maintaining a strong emphasis on safety. Compensation is by college credit hour based on faculty credentials.
Key Performance Indicators
  1. Timely, accurate preparation of syllabi
  2. Adhere to department guidelines with use of textbook/materials required
  3. Timely, accurate submission of attendance and grade records
  4. Timely, accurate submission of assessment findings
  5. Engagement in classes on time and for the full allocated time
  6. Maintenance of a safe laboratory and shop environment

Essential Functions
  • Teach assigned courses in Introductory Agricultural Mechanics and Agricultural
  • Mechanization using established course outcomes and curriculum.
  • Follow and implement an approved course syllabus for each class taught.
  • Develop lesson plans and instructional materials that support student achievement of course competencies.
  • Present subject matter using a variety of instructional methods such as lectures, demonstrations, and hands-on laboratory/shop activities.
  • Demonstrate proper use of agricultural tools, equipment, and machinery.
  • Supervise students in laboratory and shop settings to ensure safe operation of tools and equipment.
  • Provide assistance and guidance to students individually or in groups to reinforce learning concepts and practical skills.
  • Assess and evaluate student learning through assignments, projects, exams, and skill demonstrations.
  • Maintain accurate records of attendance, grades, and course progress.
  • Submit grades and other required documentation in a timely manner.
  • Maintain a classroom and shop environment that promotes safety, respect, and active learning.
  • Communicate effectively with students and Agriculture program faculty regarding course expectations and student progress.
  • Follow institutional policies and professional standards in all instructional activities.
  • Perform other instructional duties as assigned to support the success of the Agriculture program.
Required Behaviors, Competencies, and Skills
Possess strong service orientation and commitment to continuous learning.
Ability to communicate effectively with a variety of people.
Interpersonal skills:
Excellent verbal and written presentation skills.
Ability to establish and maintain positive working relationships with other employees at all levels.
Ability to work well under pressure to meet established deadlines.
Effective organizational skills.
Ability to handle confidential material judiciously.
Ability to work independently while coordinating with program faculty
Ability to manage a classroom and laboratory/shop environment
Technical skills:
Ability to use information technology for instruction.
Ability to use technology for the timely and accurate submission of confidential student attendance and grade records.
Ability to teach agricultural mechanics concepts including shop safety, hand and power
tool use, equipment maintenance, and mechanized agricultural systems
Ability to demonstrate proper operation and maintenance of agricultural equipment
Ability to assess student learning and provide constructive feedback
Experience
Education:
Bachelor's degree in Agriculture, Agricultural Systems Technology, Agricultural Engineering
Technology, or a closely related field required. A Master's degree in a related field is preferred.
Work Experience:
Secondary or post-secondary teaching experience is preferred but not required.
Proficient use of instructional technology required.
Industry Knowledge:
Practical experience in agricultural mechanics, equipment operation, fabrication, welding, or
agricultural machinery maintenance is preferred.
Work Environment and Physical Requirements
This position involves both classroom and shop/laboratory instruction. The instructor must be able to demonstrate and supervise the safe use of tools and agricultural equipment. Physical activity may include standing for extended periods, walking, bending, lifting tools or materials, and working in a shop environment.
Mineral Area College is an Equal Opportunity Employer and does not discriminate on the basis of race, color, national origin, gender identity, disability, age, religion, creed, sexual orientation, socioeconomic status, genetic and family medical history as defined by GINA, or marital or parental status, in admission/access to, or treatment/employment in its programs and activities.
This position is not eligible for benefits.