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Senior Tesla Machine Learning Engineer Jobs in Missouri

As a Machine Learning Engineer, you will work with complex datasets, design and optimize models, and help bring intelligent solutions into production. You will collaborate with software engineers and ...

Our partner is looking for a Machine Learning Engineer - Distillation based in Netherlands. This ... Collaboration with a small, senior team combining research expertise and engineering excellence.

$88K - $106K/yr

Our partner is looking for a Machine Learning Engineer - Inference Optimization based in Netherlands. This role offers the opportunity to optimize the performance of advanced machine learning systems ...

Our partner is looking for a Machine Learning Engineer - Training Optimization based in Netherlands. This role offers the opportunity to improve the foundations behind large-scale AI model ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Senior Tesla Machine Learning Engineer information

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 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.

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 Missouri? The most popular types of Tesla Machine Learning Engineer jobs in Missouri are:
What are popular job titles related to Senior Tesla Machine Learning Engineer jobs in Missouri? For Senior Tesla Machine Learning Engineer jobs in Missouri, the most frequently searched job titles are:
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What cities in Missouri are hiring for Senior Tesla Machine Learning Engineer jobs? Cities in Missouri with the most Senior Tesla Machine Learning Engineer job openings:

Machine Learning Engineer

Jobgether

On-site, Remote

Full-time

Posted 7 days ago


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Engineer based in Netherlands.

This role offers the opportunity to build and improve AI-powered products by developing machine learning solutions that address real-world challenges.
As a Machine Learning Engineer, you will work with complex datasets, design and optimize models, and help bring intelligent solutions into production.
You will collaborate with software engineers and technical teams in a fast-moving, remote environment focused on innovation.
The position combines data analysis, experimentation, software development, and machine learning engineering to create impactful products.
You will have the opportunity to work on challenging technical problems while continuously expanding your expertise in emerging AI technologies.
This role is ideal for a curious and motivated engineer who enjoys building practical AI applications and solving meaningful problems.

Accountabilities:

The Machine Learning Engineer will contribute to the development, deployment, and improvement of AI-driven solutions. The role requires strong technical skills, analytical thinking, and a passion for building scalable machine learning systems. Key responsibilities include:

  • Develop, train, test, and evaluate machine learning models to support product objectives.
  • Prepare, clean, analyze, and manage datasets used for model training and validation.
  • Improve model performance through experimentation, optimization, and continuous testing.
  • Deploy, maintain, and monitor machine learning models in production environments.
  • Collaborate with software engineers to integrate machine learning capabilities into products and applications.
  • Track model performance and identify opportunities to improve accuracy, reliability, and efficiency.
  • Apply modern machine learning techniques and stay informed about emerging technologies and best practices.
  • Write clean, maintainable, and efficient code to support scalable AI solutions.
  • Contribute to technical discussions and help solve complex engineering challenges.
  • Participate in the continuous improvement of machine learning workflows and development processes.
Requirements:

The ideal candidate is a technically curious and motivated professional with a foundation in machine learning, software engineering, or data science. Required qualifications and skills include:

  • 1+ year of experience in machine learning, software engineering, data science, or a related technical field, or strong personal projects demonstrating machine learning capabilities.
  • Basic understanding of machine learning concepts, algorithms, and model development processes.
  • Strong programming skills in Python.
  • Familiarity with machine learning frameworks and libraries such as PyTorch, TensorFlow, or scikit-learn.
  • Comfortable working with data and writing clean, maintainable code.
  • Experience using Git and version control practices.
  • Strong problem-solving skills with the ability to analyze technical challenges.
  • Good written and verbal English communication skills.
  • Passion for learning, experimenting, and building AI-powered solutions.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is a plus but not mandatory.
  • Experience with large language models (LLMs) is an advantage.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure is beneficial.
  • Knowledge of SQL and experience deploying machine learning models are considered advantages.
  • Personal AI, machine learning projects, or open-source contributions are highly valued.
Benefits:

The role offers a flexible remote environment and the opportunity to contribute to innovative AI solutions while growing professionally. Benefits include:

  • Fully remote work opportunity.
  • Flexible working environment with autonomy and work-life balance.
  • Opportunity to build and improve real-world AI products.
  • Exposure to challenging technical problems and modern machine learning technologies.
  • Collaborative and fast-moving team environment.
  • Opportunities for professional growth and continuous learning.
  • Competitive compensation based on experience.
  • Opportunity to contribute to impactful machine learning projects from anywhere.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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