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Remote Tesla Machine Learning Engineer Jobs in Missouri

Jobgether

$94.50K - $124.60K/yr

... and machine learning use cases. The role combines Python engineering, distributed systems, and ... Fully remote flexibility with distributed team collaboration. * Comprehensive health coverage ...

GRVTY

Imagery Scientist (EO) - Senior

Saint Louis, MO · Remote

$89K - $121.50K/yr

... Machine Learning algorithm testing and evaluation. The ideal candidate is an expert imagery ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Jobgether

$88.40K - $106.10K/yr

Familiarity with modern Generative AI frameworks, orchestration tools, and machine learning ... Fully remote work environment offering flexibility and work-life balance. * Personalized career ...

Healthcare Fraud Shield

Data Scientist

Chesterfield, MO · On-site +1

Utilize advanced mathematical models, machine learning algorithms, operations research techniques ... Remote work eligible REMOTE WORK REQUIREMENTS: * Must have high speed Internet (satellite is not ...

Healthcare Fraud Shield

Data Scientist

Chesterfield, MO · On-site +1

Utilize advanced mathematical models, machine learning algorithms, operations research techniques ... Remote work eligible REMOTE WORK REQUIREMENTS: * Must have high speed Internet (satellite is not ...

Jobgether

Join an innovative AI-focused environment where human expertise plays a key role in improving the accuracy and reliability of next-generation machine learning systems. In this freelance remote ...

Bayer

Sr. Data Scientist

Saint Louis, MO · On-site +1

$120K - $150K/yr

... machine learning & optimization techniques; review & revise code to ensure quality and ... engineers, and data scientists. Telecommuting permitted from home office location anywhere in the U.

New

Bayer

$120K - $150K/yr

... machine learning & optimization techniques; review & revise code to ensure quality and ... engineers, and data scientists. Telecommuting permitted from home office location anywhere in the U.

New

Bayer Inc.

Sr. Data Scientist

Saint Louis, MO · On-site +1

$120K - $150K/yr

... machine learning & optimization techniques; review & revise code to ensure quality and ... engineers, and data scientists. Telecommuting permitted from home office location anywhere in the U.

New

Yuno

Remote, Europe Full Time Experienced Engineering Manager +6 Years of Experience Who We Are At Yuno ... Collaborate closely with Product, Analytics, Machine Learning, Finance, and Compliance teams in an ...

Varsity Tutors

Data Science Tutor

Columbia, MO · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Saint Louis, MO · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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All JobsTesla Machine Learning Engineer JobsRemote Tesla Machine Learning Engineer JobsRemote Tesla Machine Learning Engineer Jobs in Missouri

Remote Tesla Machine Learning Engineer information

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

To thrive as a Remote Tesla Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning principles, typically demonstrated through a relevant degree or equivalent experience. Proficiency with Python, TensorFlow or PyTorch, cloud platforms, and version control systems is crucial, and certifications in AI/ML can be advantageous. Exceptional problem-solving, communication, and self-motivation are important soft skills for collaborating remotely and tackling complex projects. These skills enable engineers to design, implement, and scale innovative AI solutions that drive Tesla's technology forward.

What are some common challenges faced by Remote Tesla Machine Learning Engineers, and how can they be overcome?

Remote Tesla Machine Learning Engineers often face challenges such as collaborating across different time zones, ensuring effective communication with cross-functional teams, and maintaining access to high-performance computing resources. To overcome these, engineers typically use collaborative tools for code sharing and project management, participate in regular virtual meetings, and leverage Tesla's robust cloud infrastructure for experimentation and model training. Proactively seeking feedback and staying aligned with team goals are also key practices for success in this remote, fast-paced environment.

What does a Remote Tesla Machine Learning Engineer do?

A Remote Tesla Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models to improve Tesla's products and services. Working from a remote location, they collaborate with teams to analyze large datasets, build predictive models, and optimize algorithms for applications such as autonomous driving, energy management, and manufacturing. They also ensure that machine learning solutions are scalable and meet Tesla's high standards for performance and safety.

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

AspectRemote Tesla Machine Learning EngineerRemote Data Scientist
Required CredentialsDegree in Computer Science, Engineering, or related field; experience with ML frameworksDegree in Statistics, Mathematics, or related field; strong programming skills
Work EnvironmentCollaborates with engineering teams on autonomous systems and vehicle dataAnalyzes large datasets to extract insights for business or product decisions
Employer & Industry UsagePrimarily in automotive, tech, and autonomous vehicle sectorsAcross tech, finance, healthcare, and various industries

While both roles involve data analysis and machine learning, the Remote Tesla Machine Learning Engineer focuses on developing algorithms for autonomous vehicles, whereas the Remote Data Scientist analyzes data to inform business strategies. The roles share similar credentials but differ in application and industry focus.

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 Remote Tesla Machine Learning Engineer jobs in Missouri? For Remote Tesla Machine Learning Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Tesla Machine Learning Engineer jobs in Missouri look for? The top searched job categories for Remote Tesla Machine Learning Engineer jobs in Missouri are:
What cities in Missouri are hiring for Remote Tesla Machine Learning Engineer jobs? Cities in Missouri with the most Remote Tesla Machine Learning Engineer job openings:
Remote Tesla Machine Learning Engineer jobs near you

Senior Software Engineer (Python)

Jobgether

Remote

$94.50K - $124.60K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer (Python) in Netherlands.

This role is a high-impact opportunity for an experienced backend/data-focused engineer who enjoys building large-scale, distributed systems that power data extraction, processing, and search at scale. You will work on complex crawling and ingestion pipelines that collect and structure data from diverse sources such as web pages, APIs, PDFs, and documents. The environment is fast-moving, collaborative, and engineering-driven, with a strong emphasis on ownership, scalability, and problem-solving. You will contribute to the design of robust data architectures that support downstream analytics, classification, and machine learning use cases. The role combines Python engineering, distributed systems, and search technologies in a highly production-oriented setting. You will work closely with ML/NLP teams and infrastructure engineers to deliver reliable, high-performance systems in cloud environments. This is an ideal position for someone who enjoys tackling challenging data problems at scale and building systems that evolve continuously.

Accountabilities:

In this role, you will be responsible for designing and maintaining large-scale data ingestion and processing systems that support search and classification capabilities.

  • Design and build distributed web crawling and data extraction systems capable of operating at scale in complex environments.
  • Develop robust data pipelines to extract, process, and normalize data from web pages, APIs, PDFs, and other document formats.
  • Build and maintain systems for unifying heterogeneous data into structured, consistent schemas for downstream use.
  • Implement preprocessing and transformation logic to support ML/NLP models, classification systems, and search indexing.
  • Develop APIs and services that expose structured data through ElasticSearch/OpenSearch.
  • Collaborate with ML and data science teams to integrate classification models into production pipelines.
  • Automate workflows using tools such as Apache Airflow and deploy scalable systems using Kubernetes and AWS.
  • Optimize and scale data processing pipelines using distributed computing frameworks such as Spark (EMR).
Requirements:

This role requires strong backend engineering expertise, with deep experience in Python and large-scale data systems.

  • 5+ years of professional experience in Python development, particularly in web scraping and data pipeline systems at scale.
  • Strong experience working with REST APIs and processing structured and unstructured data formats (including PDFs and OCR tools like Tesseract or PyMuPDF).
  • Solid understanding of search and data technologies such as ElasticSearch/OpenSearch and relational or NoSQL databases.
  • Hands-on experience with distributed processing frameworks such as Apache Airflow and Spark (EMR or equivalent).
  • Strong problem-solving skills, especially in handling anti-scraping mechanisms, scaling challenges, and data complexity.
  • Experience working in cloud environments such as AWS or GCP.
  • Good understanding of system design principles for scalable and resilient backend systems.
  • Familiarity with Kubernetes and containerized deployments is a plus.
  • Exposure to ML/NLP concepts, LLMs, or frameworks such as spaCy, Hugging Face, TensorFlow, or PyTorch is an advantage.
Benefits:
  • Competitive salary aligned with senior-level engineering expertise.
  • Fully remote flexibility with distributed team collaboration.
  • Comprehensive health coverage including medical, dental, vision, and prescription plans.
  • Paid time off, parental leave, and medical leave for employees and family care.
  • Retirement savings plan with employer matching contributions.
  • Flexible spending accounts (FSA) and health savings accounts (HSA).
  • Wellness support, including mental health resources and monthly wellness allowances.
  • Home office setup support after one year of employment.
  • Continuous learning and professional development support.
  • Inclusive, collaborative work culture with strong engineering ownership and impact.
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. 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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