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Remote Machine Learning Engineer Jobs in Sylmar, CA

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Remote Machine Learning Engineer information

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$32K

$130.8K

$196.6K

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

As of May 29, 2026, the average yearly pay for remote machine learning engineer in Sylmar, CA is $130,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $157,500.00 per year, depending on experience, location, and employer.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.
More about Remote Machine Learning Engineer jobs
What cities near Sylmar, CA are hiring for Remote Machine Learning Engineer jobs? Cities near Sylmar, CA with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Sylmar, CA as of May 2026, with employment types broken down into 86% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 44% Physical, 3% Hybrid, and 53% Remote job distribution, with an average salary of $130,837 per year, or $62.9 per hour.
Machine Learning Engineer - Remote

Machine Learning Engineer - Remote

Harbor Freight Tools

Calabasas, CA • On-site, Remote

$110.80K - $166.10K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 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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