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Remote Tesla Machine Learning Engineer Jobs in Bellflower, CA

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Remote Tesla Machine Learning Engineer information

See Bellflower, CA salary details

$32.9K

$134.6K

$202.2K

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

As of Jun 15, 2026, the average yearly pay for remote tesla machine learning engineer in Bellflower, CA is $134,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $162,000.00 per year, depending on experience, location, and employer.

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

Senior Machine Learning Engineer

thatgamecompany

Los Angeles, CA โ€ข Remote

$120K - $205K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


Job description

Senior Machine Learning Engineer

Remote US & Canada

We are seeking a highly motivated and autonomous Senior Machine Learning Engineer to join our team. In this role, you will be a driving force behind our core ML models and underlying data and training pipelines. We are looking for a self-starter, someone who is internally driven, passionate about their craft, and capable of collaboratively identifying, prioritizing, and executing workflows with their peers and stakeholders. If you thrive in an environment where you are trusted to own your projects end-to-end and can seamlessly explain complex technical concepts to both technical and non-technical stakeholders, we want to hear from you.

We expect you to:

  • Have deep passion for video games and think on behalf of our players

  • Be curious, a problem solver and a self starter who is comfortable taking risks and proactively identifying and pursuing business needs. Know how and when to apply your knowledge, and be willing to share it with those around you

  • Be comfortable with ambiguity and able to navigate it to iteratively refine the problem space

  • Be responsible for your domain of expertise on projects from inception to delivery and beyond

Required Skills

  • 5+ years of experience in Machine Learning, Data Engineering, or a related quantitative field, with a track record of delivering end-to-end ML products

  • Expert knowledge of statistical modeling and ML methods including Classical ML, Deep Learning, NLP, and Anomaly Detection, with the ability to select the right tools for the task

  • Demonstrated proficiency in experimental design, hypothesis testing, and evaluating model performance

  • Proven track record of building and deploying scalable ML solutions in production, ideally using Kubernetes and GCP

  • Strong proficiency in Python, Java, or Scala, with an emphasis on writing clean, maintainable, and production-ready code, alongside the ability to write highly optimized SQL for complex dataset construction

  • Mastery of optimized SQL and experience with big data processing frameworks (e.g., Spark, Beam) and modern data lakehouse formats (e.g., BigQuery, Snowflake, Iceberg, Parquet)

  • Exceptional ability to translate complex technical architectures and ML concepts for non-technical stakeholders

Preferred Experience

Any of the following would be highly preferred, but most of all, we value team players who are eager to learn and contribute:

โ€ข Experience with graph databases, collaborative filtering, or user vectorization

โ€ข Experience with large-scale sentiment analysis

โ€ข Experience with Typescript or Golang

โ€ข Experience with source control, CICD, Protobuf, or infrastructure as code

โ€ข Experience in the video game industry

โ€ข Experience in a small company with a startup feel

โ€ข Interest in technical writing and sharing your work

Perks:

โ€ข Paid Time Off, Holidays and Two Weeks Winter Break

โ€ข Employees and their dependents get medical, dental, and vision coverage, regardless of their level, tenure, or position within the company. Moreover, these benefits start on the first day of the jobโ€”thereโ€™s no waiting period before they kick in.

โ€ข Pet Insurance for those who need it too.

โ€ข Compassionate leave for employees who needs to take care of their family members

โ€ข Pre-tax wellness stipend

โ€ข Pre-tax work from home stipend

โ€ข Access our savings plan (401K program) with company match

โ€ข Mental health resources including Headspace membership and Employee Assistance Program (EAP)

โ€ข Discount portal for everyday goods and services

โ€ข Employee inclusive and diversity initiatives such as Grow Together

โ€ข Support for personal professional development

We look forward to meeting you!

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

The salary range for this position is $120,000 USD to $205,700 USD annually, with the opportunity to earn an annual discretionary bonus. This salary range is an estimate, and the actual salary may vary based on the Companyโ€™s compensation practices. Employees in this position are eligible to participate in the Companyโ€™s standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, and paid time off.

Our base pay is benchmarked against regional market and industry data and is adjusted to reflect the cost of living in your specific geographic area.

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