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Remote Tesla Machine Learning Engineer Jobs in Bellflower, CA

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

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All JobsTesla Machine Learning Engineer JobsRemote Tesla Machine Learning Engineer JobsRemote Tesla Machine Learning Engineer Jobs in Bellflower, CA

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 Jul 21, 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:
Remote Tesla Machine Learning Engineer jobs near you
Infographic showing various Remote Tesla Machine Learning Engineer job openings in Bellflower, CA as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $134,560 per year, or $64.7 per hour.

Senior Machine Learning Engineer

Absurd Ventures

Santa Monica, CA • On-site, Remote

$165K - $200K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

We are seeking a Senior Machine Learning Engineer to help shape the future of content systems and real-time gameplay using cutting-edge machine learning techniques. As Senior Machine Learning Engineer, you will work alongside gameplay engineers, producers, designers, and artists to integrate intelligent, adaptive systems for our toolchain and in the realtime game. You will be a key player in evolving how our games are built and experienced. 

Core Responsibilities 

  • Work with team leads to develop and implement a machine learning (ML) strategy to maximize the potential to enhance our workflow and game systems.  Educate the team on what is possible with ML. 
  • Design and deploy LLM techniques, including agentic workflow and toolchain enhancements. 
  • Build pipelines that train on gameplay data and deploy models optimized for real-time inference.  Research and implement on-device small language and other local  models for scalable incorporation of ML features in the live game experience. 
  • Partner with design and gameplay teams to prototype and test ML-powered features such as smart NPC behaviors, simulation approximation and dynamic adaptive environments. 
  • Analyze gameplay telemetry to train models that enhance engagement, retention, and personalization. 
  • Develop internal tools using ML to streamline workflows for production, art, animation, or audio pipelines within Unreal Engine. 
  • Stay current with ML and real-time AI trends and ensure performance scalability across platforms. 
  • Mentor other engineers and promote best practices in integrating ML techniques. 

Core Qualifications 

  • 5+ years of machine learning experience, with at least 2 years integrating models into real-time or interactive environments. 
  • Strong C++ programming experience. 
  • Proficient in Python and ML libraries such as PyTorch or TensorFlow. 
  • Familiarity with training and deploying models for real-time inference with GPU/CPU constraints in mind. 
  • Understanding of supervised and unsupervised learning, reinforcement learning, and generative models. 
  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. 

Plus If 

  • Experience with the Unreal Engine toolset (Blueprints, plugins, editor scripting, etc.). 
  • Experience building or using ML tools in a game development context.  
  • Knowledge of generative models (e.g. Diffusion, GANs, MCPs) for workflow augmentation. 

Description 

  • Full-time job with benefits. 
  • Role is on-site in Santa Monica, CA. 
  • Office is located near downtown Santa Monica - near metro and freeways. 

The base pay range for this position is $165,000 to $200,000 per year. Actual compensation is based on market location and may vary depending on job-related knowledge, skills, and experience. We also offer a competitive package of benefits including vacation time, sick time, company holidays, parental leave, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) matching to regular full-time employees. Certain roles may also be eligible for bonus and equity. 

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