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Junior Full Stack Machine Learning Engineer Jobs in California

AI & Machine Learning Engineer

San Diego, CA

$121.60K - $146K/yr

In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and ... Junior Developers | SynergisticIT Software engineering or Data Science as a career? Please note:

... stack. Above all, Aquabyte is a customer-driven company. Our product development is dictated by the ... The role As a Machine Learning Engineer you will be responsible for developing Machine Learning ...

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Familiarity with data processing stacks such as Spark and Airflow. * Experience with multi-node GPU ...

Advantest is seeking a motivated Junior Machine Learning Engineer to support the development of data-driven and ML-powered solutions for semiconductor R&D, test, and operations teams. In this role ...

As a Full-stack AI Developer, will bridge the gap between AI research and production-ready ... Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144.30K - $190.30K/yr

... Learning Engineer to join our team and help shape the future of ML/AI at Taskrabbit ... This is a unique, full-stack role for an individual who is passionate about the entire machine ...

We are looking for a strong Staff Machine Learning Engineer who has the passion to develop AI ... Design, Develop and deploy Full stack based applications. * Develop and deploy production-grade ...

... stack. * Collaborate with cross-functional teams to define machine learning use cases and evaluate ... D. in Electrical Engineering, Computer Science, or a related field. * Minimum of 3 years of ...

You'll work across a diverse technology stack, collaborate with teammates and product partners, and ... their full potential. We ultimately believe in unleashing all talent and creating a better world.

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Junior Full Stack Machine Learning Engineer information

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

AspectJunior Full Stack Machine Learning EngineerJunior Data Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, works on both backend and frontendAnalyzes data, builds models, and visualizes insights, mainly in data analysis tools
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve working with data and machine learning, the Junior Full Stack Machine Learning Engineer focuses on building complete applications with ML components, including frontend and backend development. The Junior Data Scientist primarily analyzes data, creates models, and provides insights without necessarily developing full applications.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in California? The most popular types of Full Stack Machine Learning Engineer jobs in California are:
What cities in California are hiring for Junior Full Stack Machine Learning Engineer jobs? Cities in California with the most Junior Full Stack Machine Learning Engineer job openings:

AI & Machine Learning Engineer

Synergistic it

San Diego, CA

$121.60K - $146K/yr

Other

Posted 24 days ago


Job description

Job Search Feeling Like Guesswork? Applied to 200+ Jobs and Still No Interviews? Applied Everywhere?

Still No Interviews or Offers? Get Hired with a Process! Many job seekers assume the tech market has shut down, but the truth is companies are still hiring — they’re just being more selective.

That means only the most prepared, polished, and employer‑ready candidates get through.If you’ve sent out hundreds—maybe thousands—of applications and your inbox is still silent, it doesn’t mean you’re not capable. It usually means your profile isn’t lining up with how companies filter, shortlist, and interview candidates right now. In today’s market, employers expect more than a degree or a few tutorial projects.

They want candidates who look job-ready on paper , sound confident in interviews , and demonstrate hands-on ability in the tools teams actually use. That’s exactly what SynergisticIT solves—because the real challenge isn’t learning in isolation. The real challenge is translating learning into interviews and offers .

Since 2010 , SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands—think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Wayfair , and many more—often in the $95k to $154k offer range depending on role, location, and skillset. The purpose of SynergisticIT is simple: close the gap between what you know and what employers expect you to prove . Here’s the truth employers hire based on whether you can handle real work—clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did.

That’s why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process. What roles are in demand right now? A lot of jobseekers assume they must become “AI experts” overnight.

Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as entry-level software programmer , Java full stack developer , Python/Java developer , data analyst , data engineer , data scientist , and machine learning/AI engineer .

In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request. Who benefits most from this model? If you’re applying and not seeing results, you’re likely in one of these situations: You have skills, but your resume doesn’t show impact and your projects look generic You know tools, but you can’t explain them confidently in interviews You’ve learned from courses, but you lack real-world structure and job alignment You’ve built a portfolio, but it doesn’t match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats , jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps , people with “learning but not hired” bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway.

SynergisticIT also supports candidates with guidance around STEM extension , and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes). If you want to explore here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us https://www.synergisticit.com/contact-us/ You don’t need more random applications. You need a job-ready plan.

Start smarter—start with the right support. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.

Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume. A lot of jobseekers assume they must become “AI experts” overnight.

Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as entry-level software programmer , Java full stack developer , Python/Java developer , data analyst , data engineer , data scientist , and machine learning/AI engineer .

In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request. Who benefits most from this model? If you’re applying and not seeing results, you’re likely in one of these situations: You have skills, but your resume doesn’t show impact and your projects look generic You know tools, but you can’t explain them confidently in interviews You’ve learned from courses, but you lack real-world structure and job alignment You’ve built a portfolio, but it doesn’t match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats , jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps , people with “learning but not hired” bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway.

SynergisticIT also supports candidates with guidance around STEM extension , and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes). If you want to explore here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us https://www.synergisticit.com/contact-us/