ZipRecruiter

Log In

1

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

Gotion, Inc.

Machine Learning Engineer

Fremont, CA · On-site

We lead the full product development cycle, integrating mechanical, electrical, thermal, and ... Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

$175K - $275K/yr

Whether teams need raw data, curated datasets, or full-cycle data engineering, Abaka AI provides ... About the Role We're hiring our first Machine Learning Engineer in the United States, a ...

Abaka AI

Machine Learning Engineer

Mountain View, CA

$175K - $275K/yr

Whether teams need raw data, curated datasets, or full-cycle data engineering, Abaka AI provides ... About the Role We're hiring our first Machine Learning Engineer in the United States, a ...

BigHat Biosciences

Machine Learning Engineer

San Mateo, CA · On-site

$150K - $200K/yr

We are seeking a creative, ambitious Machine Learning Scientist or Engineer to advance the ... At BigHat Biosciences our full-stack antibody drug development platform uses AI/ML to drive every ...

New

Skild AI

Machine Learning Engineer

San Mateo, CA

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

$150 - $200/hr

Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging ...

Aven

Machine Learning Engineer

Campbell, CA · On-site

We are looking for Machine Learning Engineers who have built product models from idea to delivery ... Tech Stack: * AWS * PostgreSQL * Typescript * Python * VueJS (web) * Swift (iOS) * Kotlin/Java ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging ...

previous page

Showing results 41-60

All JobsFull Stack Machine Learning Engineer JobsJunior Full Stack Machine Learning Engineer JobsJunior Full Stack Machine Learning Engineer Jobs in Santa Clara, CA

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 are popular job titles related to Junior Full Stack Machine Learning Engineer jobs in Santa Clara, CA?

For Junior Full Stack Machine Learning Engineer jobs in Santa Clara, CA, the most frequently searched job titles 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:

Junior Full Stack Machine Learning Engineer jobs near you
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.

Machine Learning Engineer

Gotion, Inc.

Fremont, CA • On-site

Full-time

Re-posted 19 hours ago

Key responsibilities

  • Design and implement machine learning and deep learning models tailored to research needs

  • Prototype, evaluate, and benchmark algorithms such as Transformers, LLMs, and hybrid architectures

  • Collaborate with scientists and domain experts to incorporate physical constraints or scientific priors into models

Job description

About The Team
The Product Development Team at Gotion Illinois New Energy Inc. focuses on the design and development of advanced battery products for next-generation energy storage system (ESS) and electric vehicle (EV) applications. We lead the full product development cycle, integrating mechanical, electrical, thermal, and control system to create high-performance battery solutions, along with comprehensive system integration, validation, and certification activities.

Role Summary

We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains such as battery technology, energy systems, or related physical sciences. This is a fully on-site role based in Manteno, IL focused on building innovative ML models from the ground up.

You will collaborate closely with cross-disciplinary R&D teams to develop and deploy machine learning solutions that address real-world challenges in advanced materials, electrochemical systems, and high-throughput data environments.

Essential Duties and Responsibilities:

  • Design and implement novel machine learning and deep learning models tailored to internal research needs
  • Prototype and evaluate state-of-the-art algorithms, including Transformers, LLMs, and hybrid model architectures
  • Conduct rigorous experimentation, benchmarking, and ablation studies
  • Collaborate with battery scientists and domain experts to incorporate physical constraints or scientific priors into modeling
  • Contribute to internal documentation and present research outcomes to technical and leadership teams
  • Track and integrate advances from the ML research community to ensure technical excellence

Required Qualifications:

  • Ph.D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related field
  • Demonstrated expertise in model development, optimization, and algorithmic innovation
  • Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc.
  • Solid understanding of learning theory concepts such as regularization, generalization, loss functions, and evaluation metrics
  • Experience working with scientific or time-series datasets, especially in battery, materials, or energy domains, is highly desirable
  • A publication record in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR) is a strong plus
  • Excellent communication, collaboration, and problem-solving skills in interdisciplinary environments

The US base salary range for this full-time position is $80,000.00 - $90,000.00 + 15% bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.   

Apply