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Junior Full Stack Machine Learning Engineer Jobs in Santa Clara, CA

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

... stacks to enable training, deployment, and lifecycle management of a variety of ML models ... This includes the full machine learning life cycle - data processing, model fine-tuning, model ...

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Our team comprises a diverse range of backgrounds, including applied machine learning engineers with a focus on ML and LLM, and experienced distributed systems engineers. As such, we are seeking ...

Showing results 21-40

Junior Full Stack Machine Learning Engineer information

See Santa Clara, CA salary details

$54.6K

$111K

$166.8K

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

As of Sep 8, 2026, the average yearly pay for junior full stack machine learning engineer in Santa Clara, CA is $111,034.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,700.00 and $112,200.00 per year, depending on experience, location, and employer.

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 Santa Clara, CA?

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

What job categories do people searching Junior Full Stack Machine Learning Engineer jobs in Santa Clara, CA look for?

The top searched job categories for Junior Full Stack Machine Learning Engineer jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Junior Full Stack Machine Learning Engineer jobs?

Cities near Santa Clara, CA with the most Junior Full Stack Machine Learning Engineer job openings:

Infographic showing various Junior Full Stack Machine Learning Engineer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $111,034 per year, or $53.4 per hour.

Senior Machine Learning Engineer (Ads Auction, Ads Bidding, Ads Reservation)

MDAEdge

San Jose, CA • On-site

$143K - $189K/yr

Full-time

Re-posted 15 days ago


Job description

Job Summary:
MDAEdge is a company focused on building technologies that unlock business growth potential through various ads products. They are seeking a Senior Machine Learning Engineer to develop large-scale Ads systems and algorithms using Machine Learning, while contributing to innovative monetization products that drive engagement and revenue.
Responsibilities:
• Create innovative monetization products that drive engagement and revenue.
• Participate in the development of a large-scale Ads system.
• Participate in the development and iteration of Ads algorithms by using Machine Learning.
• Work on NLP and CV related technology for content understanding and taxonomy.
• Contribute to the success of a rapidly growing and evolving organization with speediness and quality.
Qualifications:
Required:
• BS degree in Computer Science, Computer Engineering or other relevant majors, with 3+ years of related work experience.
• Excellent programming, debugging, and optimization skills in one or more general purpose programming languages including but not limited to: Go, C/C++, Python.
• Ability to think critically and to formulate solutions to problems in a clear and concise way.
• Relevant professional experience with machine learning, data mining, data analysis, distribution system.
• Good understanding in one of the following domains: brand ads, content ads, auction, bidding, ranking, and ads forecasting.
• Go
• C/C++
• Python
• Machine Learning
• Deep Learning
• NLP
Preferred:
• Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.
• Good product sense and experience designing and implementing product features.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.