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Remote Full Stack Machine Learning Engineer Jobs in San Diego, CA

As part of the Data Science and Engineering team, this role combines strategic leadership ... You will oversee the design, development, validation, and deployment of machine learning models.

Lead Enterprise Architect

San Diego, CA · On-site +1

$185K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote or Hybrid in not available. Axos Bank is seeking an experienced Lead Enterprise Architect to ... DevOps. * Leverage the latest technologies and tools, such as AI, machine learning, big data ...

Solutions Engineer - Media and Gaming

San Diego, CA · On-site +1

$218K - $286K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Note - While this is a remote position, we are seeking candidates located in or willing to relocate ... for a full-stack, cross-domain impact. Role Summary Cisco is seeking a high-impact Solutions ...

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Patent Agent

San Diego, CA · Remote

$180K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and machine learning/artificial intelligence technologies. Experience with medical device ... engineering, computer engineering, computer science, or a related physical science or engineering ...

Sr. Engineer, AI Developer Tools (Remote)

San Diego, CA · On-site +1

$137K - $171K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AI and machine learning, fueling smarter personalization, predictive insights, and business ... BuiltIn's 2024 Best Place to Work WHAT WE ARE LOOKING FOR Tealium is seeking a Senior Engineer, AI ...

Software Development Manager

San Diego, CA · On-site +1

$120K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote or Hybrid is not available. Axos Bank is looking for an experienced, product-oriented ... This role will utilize full-stack web development, designing APIs with GoLang, developing web ...

Lead Technical Program Manager, Simulation

San Diego, CA · On-site +1

$137K - $177K/yr

Proven track record of managing complex technical programs involving the Machine Learning platforms ... complex engineering stacks * Organizational Transformation : Demonstrated success in driving ...

This is a remote position, United States. At PMAT , we work on mission critical systems that ... Support the design and administration of secure Secret and Top Secret infrastructure stacks in on ...

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 ...

Supervision Support Specialist

San Diego, CA · Remote

$25 - $33/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... remote position. Application Deadline This position is anticipated to close on Aug 25, 2026. About ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

Systems Engineer

Temecula, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Key-skills and interests: machine and process control, high-level programming, information ... Learning new technologies * Mentoring colleagues on your expertise and knowledge base * Having fun ...

Solutions Engineer

Carlsbad, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a recognized leader in AI and machine learning, our team leverages data and patented technology ... Open to remote in the US Success Metrics 2026: Independently own end-to-end workflow configuration ...

Showing results 41-60

Remote Full Stack Machine Learning Engineer information

See San Diego, CA salary details

$47.2K

$143.1K

$202.3K

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

As of Aug 19, 2026, the average yearly pay for remote full stack machine learning engineer in San Diego, CA is $143,087.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What is a remote full stack machine learning engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote full stack machine learning engineer?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.

What are some common challenges faced by remote full stack machine learning engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is the difference between Remote Full Stack Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in San Diego, CA?

The most popular types of Full Stack Machine Learning Engineer jobs in San Diego, CA are:

What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in San Diego, CA?

For Remote Full Stack Machine Learning Engineer jobs in San Diego, CA, the most frequently searched job titles are:

What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in San Diego, CA look for?

The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in San Diego, CA are:

What cities near San Diego, CA are hiring for Remote Full Stack Machine Learning Engineer jobs?

Cities near San Diego, CA with the most Remote Full Stack Machine Learning Engineer job openings:

Manager Data Science

Dexcom, Inc.

San Diego, CA • On-site, Remote

Full-time

Posted 7 days ago


Dexcom rating

8.8

Company rating: 8.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz


Job description

The Company
Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health.
We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us.
Meet the team:
The Dexcom Post Market Surveillance Data team is a multidisciplinary team responsible for developing, deploying, and scaling advanced analytics, machine learning models, and data products that drive the delivery of actionable post market product performance data across the enterprise. We operate in a fast-paced, mission-critical environment where reliability, efficiency, and timely escalations are paramount.
As part of the Data Science and Engineering team, this role combines strategic leadership, technical expertise, and people management to deliver innovative data solutions while ensuring robust, scalable, and reliable data platforms.
Where you come in:
  • You will lead and manage global, data scientists and engineers, ensuring high-quality, reliable access to data.
  • You will oversee the design, development, validation, and deployment of machine learning models.
  • You will guide experimentation, hypothesis testing, and statistical analysis initiatives.
  • You will recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
  • You will drive adoption of data architecture standards and engineering best practices.
  • You will define and execute the data science and engineering roadmap while adhering to data governance and regulatory compliance policies.
  • You will report out to senior leadership product metrics and patient risk data helping to identify areas of improvement.

What makes you successful:
  • You embrace innovation, with experience or interest in automation, AI, and modern data science practices.
  • You demonstrate strong analytical and data-driven decision-making skills, leveraging metrics and dashboards to improve outcomes.
  • You have current expertise in GCP functions and Big Query.
  • You are also an expert in DBT, SQL and python.
  • You have experience with GitHub or similar version control software.
  • You excel in leading global, cross-functional teams and driving collaboration across multiple stakeholders and time zones.
  • You are an effective communicator who can engage both technical teams and executive leadership with clarity and confidence.
  • You have a strong end-user-first mindset, with a passion for improving end-user experience and service quality.

What you'll get:
  • A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community.
  • A full and comprehensive benefits program.
  • Growth opportunities on a global scale.
  • Access to career development through in-house learning programs and/or qualified tuition reimbursement.
  • An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve.

Travel Required:
  • 5-15%

Experience and Education Requirements:
  • Typically requires a Bachelor's degree with 8-12 years of industry experience
  • Requires a degree in a technical discipline
  • 2-5 years of previous management or lead experience

Remote Workplace: Your location will be a home office; you are not required to live within commuting distance of your assigned Dexcom site (typically 75 miles/120km). If you reside within commuting distance of a Dexcom site (typically 75 miles/120km) a hybrid working environment may be available. Ask about our Flex workplace option.
Please note: The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Dexcom's AAP may be viewed upon request by contacting Talent Acquisition at talentacquisition@dexcom.com.
If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Dexcom Talent Acquisition at talentacquisition@dexcom.com.
Meritain, an Aetna Company, creates and publishes the Machine-Readable Files on behalf of Dexcom. To link to the Machine-Readable Files, please click on the URL provided: https://health1.meritain.com/app/public/#/one/insurerCode=MERITAIN_I&brandCode=MERITAINOVER/machine-readable-transparency-in-coverage?reportingEntityType=TPA_19874&lock=true
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Dexcom. Only authorized staffing and recruiting agencies may use this site or to submit profiles, applications or resumes on specific requisitions. Dexcom does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to the Talent Acquisition team, Dexcom employees or any other company location. Dexcom is not responsible for any fees related to unsolicited resumes/applications.
AI in Hiring Notice: We may use AI supported tools to help make our hiring process more efficient, consistent, and accessible for candidates around the world. All hiring decisions are made by people.
Salary:
$141,800.00 - $236,400.00
#DexcomUS

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