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Remote Machine Learning Engineer Jobs in Chula Vista, CA

Full Stack Engineer Location: San Diego, CA Job Type: Full-Time Salary Range: Based on Experience ... Artificial Intelligence and Machine Learning * TensorFlow * PyTorch * Keras * Pandas * NumPy

Software Engineer Intern

San Diego, CA · On-site +1

$24.20 - $38.50/hr

Implement monitoring and analytics pipelines that use machine learning and AI to surface system ... Software Engineering or a related field with applicable coursework * Experience building web ...

Software Engineer Intern

San Diego, CA · On-site +1

$24.20 - $38.50/hr

Implement monitoring and analytics pipelines that use machine learning and AI to surface system ... Software Engineering or a related field with applicable coursework * Experience building web ...

Software Engineer Intern

San Diego, CA · On-site +1

$24.20 - $38.50/hr

Implement monitoring and analytics pipelines that use machine learning and AI to surface system ... Software Engineering or a related field with applicable coursework * Experience building web ...

Data Architect - Clearance Required

San Diego, CA · On-site +1

$67.75 - $87/hr

Research, design, implement, and manage enterprise data engineering systems, and serve as subject ... machine learning models to production). * Willing to work largely remote with periodic onsite ...

Data Architect - Clearance Required

San Diego, CA · On-site +1

$67.75 - $87/hr

Research, design, implement, and manage enterprise data engineering systems, and serve as subject ... machine learning models to production). * Willing to work largely remote with periodic onsite ...

Showing results 21-40

Remote Machine Learning Engineer information

See Chula Vista, CA salary details

$32.7K

$133.5K

$200.6K

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

As of Sep 12, 2026, the average yearly pay for remote machine learning engineer in Chula Vista, CA is $133,482.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,200.00 and $160,700.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

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 as a remote machine learning engineer?

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.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What are the most commonly searched types of Machine Learning Engineer jobs in Chula Vista, CA?

The most popular types of Machine Learning Engineer jobs in Chula Vista, CA are:

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

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

What cities near Chula Vista, CA are hiring for Remote Machine Learning Engineer jobs?

Cities near Chula Vista, CA with the most Remote Machine Learning Engineer job openings:

Infographic showing various Remote Machine Learning Engineer job openings in Chula Vista, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $133,482 per year, or $64.2 per hour.

Electrical Engineering & Computer Science Patent Agent - San Diego

San Diego, CA • On-site, Remote

Direct Counsel
Recruiting and Staffing Services • 1 - 10 employees

$140K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Job description

Direct Counsel is partnered with an AmLaw 100 firm seeking mid-level patent agents to join their Electrical Engineering and Computer Science Patent Prosecution Practice Group. This position is open to all offices with emphasis on Atlanta, Denver, San Francisco, Seattle, St. Louis, Washington, DC, Houston, Kansas City, or Phoenix offices. Interested candidates must possess a high level of academic achievement, solid law firm, engineering, or industry experience, and superb writing and communication skills.

Responsibilities:

  • Prepare and prosecute patent applications in electrical engineering and software-related technologies

  • Conduct patentability searches and analysis

  • Draft responses to USPTO office actions

  • Collaborate with attorneys and clients to develop patent strategies

  • Review and analyze technical disclosures

Qualifications:

  • 2+ years of relevant patent preparation and prosecution experience

  • Degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, or Physics

  • Admission to the USPTO required

  • Excellent writing, communication, and analytical skills

  • Experience in data science, AI, networking technologies (including network security), machine learning, and hardware security is highly preferred

Compensation:

  • Salary range: $140,000 - $250,000 depending on experience

  • Discretionary performance-based bonus may be available

  • Eligible for firm benefits including: medical insurance, dental insurance, life insurance, disability insurance, voluntary vision insurance, 401(k) plan, and paid time off

Application Requirements:
Please submit a cover letter, resume, undergraduate transcript (and graduate when applicable), and writing sample (preferred patent application).