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Remote Tesla Machine Learning Engineer Jobs in Pasadena, CA

Senior Software Engineer - Remote

Los Angeles, CA ยท Remote

$132K - $174K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

AI/ML Engineer - Remote

Los Angeles, CA ยท Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

Senior Applied AI/ML Engineer

Santa Monica, CA ยท On-site +1

$210K - $230K/yr

You will work at the intersection of machine learning, software engineering, product development ... Remote and hybrid flexibility varies by role and team, and is outlined in each . If you're excited ...

Senior Applied AI/ML Engineer

Los Angeles, CA ยท Remote

$210K - $230K/yr

You will work at the intersection of machine learning, software engineering, product development ... Remote and hybrid flexibility varies by role and team, and is outlined in each . If you're excited ...

The Role We are seeking a Software Engineer to interface with embedded systems, machine learning ... models, and 3D game engines. This role focuses on building reliable, reusable systems that build ...

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

Head of Engineering - Remote

Santa Monica, CA ยท Remote

$180K - $225K/yr

CONFIDENTIAL SEARCH Head of Engineering Full-Time | Remote | Light Travel (~5%) About Our Client ... machine learning to help predict and improve audience response to creative work across TV and film.

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Developing and applying machine learning models and integrating AI models using Python, R, SQL, and ...

Senior Platform Engineer

Los Angeles, CA ยท On-site +1

$112K - $154K/yr

... remote work days. The Role EDO is looking for a Senior Platform Engineer to help accelerate our ... machine learning engineers ship safely and efficiently. Our environment is AWS-heavy and data ...

Senior Platform Engineer

Los Angeles, CA ยท On-site +1

$112K - $154K/yr

... remote work days. The Role EDO is looking for a Senior Platform Engineer to help accelerate our ... machine learning engineers ship safely and efficiently. Our environment is AWS-heavy and data ...

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Software Engineer (Starship)

Hawthorne, CA ยท On-site +1

$145K - $175K/yr

Experience with data analysis and machine learning libraries such as Pandas, NumPy, and PyTorch ... This position is based in Hawthorne, CA and requires being onsite - remote work not considered ...

Showing results 41-60

Remote Tesla Machine Learning Engineer information

See Pasadena, CA salary details

$34.4K

$140.5K

$211.1K

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

As of Sep 6, 2026, the average yearly pay for remote tesla machine learning engineer in Pasadena, CA is $140,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $169,100.00 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 the key skills and qualifications needed to thrive as a remote Tesla machine learning engineer?

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 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 Pasadena, CA?

For Remote Tesla Machine Learning Engineer jobs in Pasadena, CA, the most frequently searched job titles are:

What job categories do people searching Remote Tesla Machine Learning Engineer jobs in Pasadena, CA look for?

The top searched job categories for Remote Tesla Machine Learning Engineer jobs in Pasadena, CA are:

What cities near Pasadena, CA are hiring for Remote Tesla Machine Learning Engineer jobs?

Cities near Pasadena, CA with the most Remote Tesla Machine Learning Engineer job openings:

Infographic showing various Remote Tesla Machine Learning Engineer job openings in Pasadena, CA 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 $140,462 per year, or $67.5 per hour.

Systems Principal Automation Engineer

Login Consulting Services, Inc.

Monrovia, CA โ€ข On-site, Remote

Full-time

Re-posted 15 days ago


Job description

A leading manufacturer of equipment and systems for resistance welding, laser welding, laser marking, laser cutting, laser micromachining, and hot bar bonding, located in Monrovia, CA, is seeking a Systems Principal Automation Engineer for a full time role.
SUMMARY:
The Systems Operations department delivers integrated, intelligent systems using our 3D, Define-Design-Deliver, philosophy. The Systems Principal Automation Engineer (Principal Engineer) serves as the senior-most technical authority for software architecture, advanced controls, artificial intelligence and machine-learning systems, SCADA/HMI platforms, machine vision, and high reliability industrial automation in Systems Operations.
This position operates with minimal guidance from leadership and establishes technical direction across multidisciplinary engineering teams

Task assignments, project schedules, and backlog priorities are directed through the Engineering Services Manager or delegated Systems Operations technical leadership (Proposal Manager, Engineering Manager, and Automation Lead). The Principal Engineer is expected to selfโ€‘manage execution of these tasks with minimal oversight, driving technical quality, architecture decisions, and integration outcomes across Systems Operations.
RESPONSIBILITIES:
Engineering:
The Principal Engineer will be assigned programming needs for production backlog and development projects.
Architect and develop advanced software systems supporting automation, motion control, machine
vision, SCADA, safety systems, and distributed industrial operations.
Architect SCADA/HMI systems for live visualization, diagnostics, alarms, and remote operations.
Develop industrial data acquisition, historians, and plant-wide data networking (FactoryTalk, IIoT,
MQTT)
Lead machine learning and AI development initiatives using PyTorch, TensorFlow, OpenCV, and/or HALCON.
Develop classical and deep learning machines and vision applications using OpenCV or HALCON with custom neural networks or pipelines.
Oversee dataset design, labeling workflows, training pipelines, and model validation/testing.
Integrate edge AI hardware and accelerators or embedded inference engines.
Design and validate real-time controls integrations across PLCs, CNCs, motion controllers, and industrial network systems.
Develop industrial communication handshakes in Modbus TCP, OPC-UA, TCP/IP, Serial, or other fieldbus protocols.
Ensure compliance with UL, CE, and NFPA standards governing safety and controls engineering.
Lead development of machine-learning models for inspection, anomaly detection, automation
optimization, and predictive intelligence within Systems Operations.
Design operator interfaces using WinForms, WPF, .NET, and industrial panel platforms.
Author and enforce software architecture standards, reusable libraries, modular frameworks, and
support strategies.
Utilize Azure DevOps for task assignments, backlog execution, tracking, code review, and revision
control across projects.
Other projects and tasks assigned by the company from time to time.
Project Engineering:
Work in and foster a team environment with other engineers, production, QA, test, materials
control, contract management, and sales personnel.
Support and develop new software under direction of management.
Prepare interface and functionality documentation for software modules.
Develop and report on project plans and schedules for software development work.
Prepare detailed engineering release documents and compliance documents.
Software and Controls Development:
Analyze and recommend improvements to our present software development and design control
methodology.
Mentor software and controls engineers on architecture, design patterns, and quality standards.
Guide the team in adoption of emerging automation and AI technologies.
Supervisory Responsibilities: This job has no supervisory responsibilities.
POSITION REQUIREMENTS:
Expert-level C# and .NET development experience.
Expert-level understanding of Rockwell Automation software, specifically Studio 5000 Logix
Designer, RSLogix 500 and 5000.
Deep expertise in software architecture, distributed systems, machine learning, computer vision, SCADA/HMI platforms, and realโ€‘time industrial automation environments
o Experience with FactoryTalk View or database integration to move data between the PLC
and .NET layers.
Proven ability to integrate using industrial communication protocols.
Ability to interpret electrical, pneumatic, and mechanical drawings to support software and controls
design.
Exceptional communication skills: this role will be communicating daily with internal and external
customers across multiple disciplines.
Routine adjustment of working hours to support remote login of our worldwide customer base.
Ability to travel occasionally.
EDUCATION & EXPERIENCE:
Four-year degree in STEM degree or related discipline
o Master"s or PhD preferred.
10+ years in complex software architecture, automation systems, and controls engineering.
5+ years" experience in machine vision and AI/ML development.
Project management training or certification (e.g., PMI, Agile) preferred.
OTHER QUALIFICATIONS:
Attention to detail and being flexible to manage multiple tasks independently.
Excellent verbal and written communication skills.
Exceptional organization and time management skills.
Proven ability to meet deadlines while performing task accurately.
Initiative-taking with a keen sense of ownership in all areas of responsibility. Punctual and dependable attendance.
* Understands company's basic philosophy and participates fully in conducting its mission.
Education:Employment Type: FULL_TIME