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Remote Spacex Machine Learning Jobs in Oxnard, CA

DataAnnotation

SDLC Engineer - AI Trainer

Oxnard, CA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

QA Engineer - AI Trainer

Ventura, CA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Ventura, CA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

QA Engineer - AI Trainer

Simi Valley, CA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

QA Engineer - AI Trainer

Oxnard, CA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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Remote Spacex Machine Learning information

See Oxnard, CA salary details

$27K

$45.1K

$93.2K

How much do remote spacex machine learning jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote spacex machine learning in Oxnard, CA is $45,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,400.00 and $48,700.00 per year, depending on experience, location, and employer.

What does a Remote SpaceX Machine Learning Engineer do?

A Remote SpaceX Machine Learning Engineer uses data-driven algorithms and models to solve complex problems for SpaceX, often focusing on areas such as rocket manufacturing, satellite communications, and mission planning. Working remotely, these engineers collaborate with cross-functional teams to design, develop, and implement machine learning solutions that improve efficiency, safety, and performance. They may analyze large datasets, build predictive models, and deploy AI systems to support SpaceX's ambitious goals in space exploration.

What are some unique challenges of working remotely as a Machine Learning Engineer at SpaceX, and how can candidates prepare for them?

Working remotely as a Machine Learning Engineer at SpaceX presents unique challenges such as collaborating across distributed teams, managing time zones, and maintaining effective communication with colleagues involved in hardware and aerospace projects. To succeed, candidates should be proactive in seeking regular updates, use collaborative tools efficiently, and be comfortable working independently while still aligning with team objectives. Familiarity with remote development environments and a strong ability to document and present complex models are also key to thriving in this role.

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

AspectRemote Spacex Machine LearningRemote Spacex Data Scientist
Required CredentialsAdvanced degree in Computer Science, AI, or related field; experience in ML frameworksDegree in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, algorithms, and AI systems for space applicationsAnalyzing data, creating insights, and supporting decision-making processes
Employer & Industry UsageUsed in AI-driven space missions, autonomous systems, and roboticsApplied in data analysis, reporting, and predictive modeling for space projects

Remote Spacex Machine Learning specialists focus on developing AI models for space technology, while Data Scientists analyze data to inform decisions. Both roles require strong technical skills and often collaborate but serve different core functions within the industry.

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

To excel as a Remote SpaceX Machine Learning Engineer, you need strong expertise in machine learning, data analysis, and programming languages like Python, along with a relevant degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud computing platforms, and version control systems is typically necessary, and certifications in machine learning or data science can be advantageous. Excellent problem-solving skills, strong communication, and the ability to collaborate remotely are key soft skills that help you stand out. These skills ensure you can develop robust ML models that support SpaceX’s technical goals while effectively working within distributed teams.
What are popular job titles related to Remote Spacex Machine Learning jobs in Oxnard, CA? For Remote Spacex Machine Learning jobs in Oxnard, CA, the most frequently searched job titles are:
What job categories do people searching Remote Spacex Machine Learning jobs in Oxnard, CA look for? The top searched job categories for Remote Spacex Machine Learning jobs in Oxnard, CA are:
What cities near Oxnard, CA are hiring for Remote Spacex Machine Learning jobs? Cities near Oxnard, CA with the most Remote Spacex Machine Learning job openings:
Remote Spacex Machine Learning jobs near you
Machine Learning Engineer- Remote

Machine Learning Engineer- Remote

Harbor Freight Tools

Calabasas, CA • On-site, Remote

$110K - $166K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

The ML Engineer is responsible for the overall development, deployment, and support of our machine learning operations Harbor Freight. This includes the architecture and implementation of tools for model training, model monitoring, feature stores, model deployments, and model maintenance.
This role requires working with multiple levels of the organization, data science teams, application teams, security, software engineering, and business partners. It requires an experienced machine learning engineer with excellent business acumen, very strong technical skills, and data modeling / data warehousing expertise.
This position is technical and analytical in nature.
Duties and Responsibilities
  • Work closely with data scientists and IT in the development and implementation of our Enterprise AI platform.             
  • Build and maintain an industry leading MLOps tech stack.       
  • Mentor data scientists within the business, ensuring we're building best-in-class models.       
  • Optimize the scalability, performance, and reliability of our models by implementing best practices and leveraging industry-standard technologies.   
  • Streamline data ingestion, pre-processing, feature engineering, and model training workflows to improve efficiency and reduce latency.       
  • Design, build, and maintain a secure and scalable CI/CD framework for data science teams.             

Scope
  • Staff supervision and development:  No
  • Decision making:  Recommends policy and resolves problems
  • Travel:  Up to 5%
  • Flex Designation:  Anywhere

The anticipated salary range for this position is $110,800 - $166,100 depending on location, knowledge, skills, education and experience. This position is also eligible for an annual discretionary bonus. In addition, we offer comprehensive and competitive benefits to Associates (and their families) such as medical, dental, vision, life insurance, short-term and long-term disability. Eligible Associates are able to enroll in our company's 401k plan. Associates will accrue paid time off up to 236 hours per year (inclusive of PTO, floating holidays, and paid holidays). Paid sick time up to 80 hours per year unless otherwise required by law.

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