About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...
About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...
About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...
About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...
Machine Learning Engineer
Fremont, CA · On-site
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 ...
Quick apply
Machine Learning Engineer
Fremont, CA · On-site
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 ...
Machine Learning Engineer
San Mateo, CA · On-site +1
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
San Mateo, CA · On-site +1
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
Fremont, CA · On-site
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 ...
Quick apply
Machine Learning Engineer
Fremont, CA · On-site
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 ...
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
Sunnyvale, CA · On-site
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 ...
Machine Learning Engineer
Sunnyvale, CA · On-site
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 ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Job Summary : Info Way Solutions is seeking a Machine Learning Engineer to join their team. The role involves developing machine learning applications, deploying models into production, and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Job Summary : Info Way Solutions is seeking a Machine Learning Engineer to join their team. The role involves developing machine learning applications, deploying models into production, and ...
Machine Learning Engineer
Santa Clara, CA · On-site
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 ...
Machine Learning Engineer
Santa Clara, CA · On-site
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 ...
Machine Learning Engineer
Sunnyvale, CA · On-site
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 ...
Machine Learning Engineer
Sunnyvale, CA · On-site
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 ...
Machine Learning Engineer
Cupertino, CA · On-site
Syntricate Technologies is a company seeking a Machine Learning Engineer with extensive experience in Client Engineering and NLP. The role involves deploying Client models, managing data pipelines ...
Machine Learning Engineer
Cupertino, CA · On-site
Syntricate Technologies is a company seeking a Machine Learning Engineer with extensive experience in Client Engineering and NLP. The role involves deploying Client models, managing data pipelines ...
Machine Learning Engineer
Fremont, CA · On-site
RIT Solutions, Inc. is seeking a highly skilled Machine Learning Engineer to join their Software Machine Learning and Computer Vision team. The role involves designing, developing, and deploying ...
Machine Learning Engineer
Fremont, CA · On-site
RIT Solutions, Inc. is seeking a highly skilled Machine Learning Engineer to join their Software Machine Learning and Computer Vision team. The role involves designing, developing, and deploying ...
Machine Learning Engineer
Fremont, CA · On-site
NR Consulting is a company focused on innovative technology solutions, and they are seeking a Machine Learning Engineer to develop and deploy lightweight machine learning models for edge AI ...
Machine Learning Engineer
Fremont, CA · On-site
NR Consulting is a company focused on innovative technology solutions, and they are seeking a Machine Learning Engineer to develop and deploy lightweight machine learning models for edge AI ...
The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world ...
Quick apply
The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world ...
Machine Learning Engineer
San Mateo, CA · On-site
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 ...
Machine Learning Engineer
San Mateo, CA · On-site
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 ...
Machine Learning Engineer
Sunnyvale, CA · On-site
The Machine Learning Engineer will be responsible for developing and implementing innovative machine learning models, collaborating with cross-functional teams to deploy scalable solutions that drive ...
Machine Learning Engineer
Sunnyvale, CA · On-site
The Machine Learning Engineer will be responsible for developing and implementing innovative machine learning models, collaborating with cross-functional teams to deploy scalable solutions that drive ...
Machine Learning Engineer
Sunnyvale, CA · On-site
As a Machine Learning Engineer, you will develop and implement innovative machine learning models, collaborate with cross-functional teams, and contribute to MBZUAI's mission of driving impactful AI ...
Machine Learning Engineer
Sunnyvale, CA · On-site
As a Machine Learning Engineer, you will develop and implement innovative machine learning models, collaborate with cross-functional teams, and contribute to MBZUAI's mission of driving impactful AI ...
They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for multimodal AI systems, collaborating with data engineering and research teams to drive the technical ...
They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for multimodal AI systems, collaborating with data engineering and research teams to drive the technical ...
BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine ...
BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine ...
The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI systems, collaborate with data engineering and research teams, and influence core decisions around ...
The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI systems, collaborate with data engineering and research teams, and influence core decisions around ...
Machine Learning Engineer Apprenticeship information
See Santa Clara, CA salary details
$35.8K - $44.9K
5% of jobs
$44.9K - $54K
4% of jobs
$61.8K is the 25th percentile. Wages below this are outliers.
$54K - $63K
18% of jobs
$63K - $72.1K
12% of jobs
The median wage is $76.3K / yr.
$72.1K - $81.2K
24% of jobs
$86.6K is the 75th percentile. Wages above this are outliers.
$81.2K - $90.3K
20% of jobs
$90.3K - $99.3K
8% of jobs
$99.3K - $108.4K
4% of jobs
$108.4K - $117.5K
2% of jobs
$117.5K - $126.6K
1% of jobs
$126.6K - $135.6K
1% of jobs
$35.8K
$80.6K
$135.6K
How much do machine learning engineer apprenticeship jobs pay per year?
As of Sep 1, 2026, the average yearly pay for machine learning engineer apprenticeship in Santa Clara, CA is $80,586.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $87,500.00 per year, depending on experience, location, and employer.
What is a machine learning engineer apprenticeship?
A Machine Learning Engineer Apprenticeship is a structured training program that combines hands-on work experience with classroom or online learning in the field of machine learning. Apprentices work under the guidance of experienced professionals to develop skills in data analysis, building machine learning models, and deploying algorithms in real-world applications. This apprenticeship is ideal for individuals seeking to enter the field of artificial intelligence without prior extensive experience, as it provides practical training and mentorship. Typically, apprenticeships last from several months to a couple of years and may lead to full-time employment upon successful completion.
What types of projects can I expect to work on during a machine learning engineer apprenticeship?
As a Machine Learning Engineer Apprentice, you can expect to participate in hands-on projects that involve data preprocessing, building and evaluating machine learning models, and collaborating with cross-functional teams such as data scientists and software engineers. Common projects may include developing recommendation systems, automating data analysis tasks, or implementing natural language processing solutions. These experiences provide valuable exposure to real-world datasets and industry-standard tools, helping you build foundational skills for a long-term career in machine learning.
What are the key skills and qualifications needed to thrive as a machine learning engineer apprentice, and why are they important?
To thrive as a Machine Learning Engineer Apprentice, a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts is essential, often supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and the ability to collaborate and communicate complex ideas clearly are valuable soft skills. These abilities are crucial for efficiently developing, testing, and deploying machine learning models while contributing effectively to team projects.
What are popular job titles related to Machine Learning Engineer Apprenticeship jobs in Santa Clara, CA?
For Machine Learning Engineer Apprenticeship jobs in Santa Clara, CA, the most frequently searched job titles are:
- Contract Machine Learning Engineer
- Junior Machine Learning Engineer
- Entry Level Machine Learning Engineer
- Help Nlp Engineer
- Urgently Hiring Machine Learning Engineer New Grad
- Google Cloud Machine Learning Engineer
- Senior Machine Learning Researcher
- Machine Learning Engineer From Home
- Hourly Remote Machine Learning Engineer
- Machine Learning Ai Developer
What job categories do people searching Machine Learning Engineer Apprenticeship jobs in Santa Clara, CA look for?
The top searched job categories for Machine Learning Engineer Apprenticeship jobs in Santa Clara, CA are:
- No Experience Nvidia Machine Learning
- Artificial Intelligence Machine Learning Engineer
- Contract Apple Machine Learning Engineer
- Freelance Machine Learning Compiler Engineer
- Flexible Machine Learning
- Junior Machine Learning Compiler Engineer
- Intern Computer Vision Deep Learning Engineer
- Machine Learning Engineer Hybrid
- Machine Learning Manager
- Reinforcement Learning Engineer
What cities near Santa Clara, CA are hiring for Machine Learning Engineer Apprenticeship jobs?
Cities near Santa Clara, CA with the most Machine Learning Engineer Apprenticeship job openings:
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 18 days ago
Tapestry Inc. rating
8.2
Based on 36 frontline employees who took The Breakroom Quiz
1st of 104 rated fashion retailers
Job description
About Tapestry
Tapestry is a group within Google working to build the AI-powered electric grid. We are tackling one of the world's most important infrastructure challenges: helping the energy system become more visible, understandable, reliable, affordable, abundant, and clean.
Originally born at X, Alphabet's moonshot factory, Tapestry brings together experts in energy, AI, software engineering, and products to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently.
This is a global effort. Tapestry supports partners across the U.S., U.K., Chile, New Zealand, Australia, and Brazil as they work toward a cleaner, more resilient energy future.
Joining Tapestry means doing high-impact work with a multidisciplinary team tackling a problem that matters at global scale. Learn more about our team and our mission here.
About the role:
We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex challenges that face today's electric grid. You will work closely with other Machine Learning Engineers, Data Scientists and Software Engineers across diverse ML domains spanning multimodal machine learning, information retrieval, natural language processing and agentic AI.
How you will make 10x impact:
What you should have:
It'd be great if you also had these:
Our values
What we offer
A culture that supports growth, ownership, and meaningful impact, along with:
The US base salary range for this full-time position is $166,000 - $244,000 + bonus + equity + benefits. 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 location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Tapestry is a group within Google working to build the AI-powered electric grid. We are tackling one of the world's most important infrastructure challenges: helping the energy system become more visible, understandable, reliable, affordable, abundant, and clean.
Originally born at X, Alphabet's moonshot factory, Tapestry brings together experts in energy, AI, software engineering, and products to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently.
This is a global effort. Tapestry supports partners across the U.S., U.K., Chile, New Zealand, Australia, and Brazil as they work toward a cleaner, more resilient energy future.
Joining Tapestry means doing high-impact work with a multidisciplinary team tackling a problem that matters at global scale. Learn more about our team and our mission here.
About the role:
We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex challenges that face today's electric grid. You will work closely with other Machine Learning Engineers, Data Scientists and Software Engineers across diverse ML domains spanning multimodal machine learning, information retrieval, natural language processing and agentic AI.
How you will make 10x impact:
- Train, and deploy machine learning models in production environments.
- Work with senior team members to develop enterprise quality ML systems, spanning multiple ML domains
- Operationalize ML model training at serving at enterprise scale
- Stay abreast of the latest advancements in machine learning
What you should have:
- Master's Degree/Bachelor's Degree in Machine Learning, Computer Science, Statistics or related field
- 3+ years of experience in machine learning model development and engineering.
- Expertise in one or more of the following areas: multimodal machine learning NLP or agentic AI, planning, control and reinforcement learning
- Strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow.
- Experience with building and deploying ML systems at scale, OR a proven ability to perform applied ML research and develop the state of the art in an academic setting
It'd be great if you also had these:
- PhD in Machine Learning, Computer Science, Statistics, or a related field
- Experience with cloud platforms such as AWS, GCP, or Azure.
- A strong portfolio of projects demonstrating ML expertise.
Our values
- Take charge: We take initiative and own outcomes that move the mission forward.
- Transform with purpose: We build solutions that solve real problems and create meaningful impact.
- Be a Tapestry, not a thread: We collaborate across diverse skills and perspectives to achieve more than we can individually.
- Always fine-tune: We stay curious, seek feedback, and refine our understanding as we learn.
- Stay grounded: We listen openly, value different perspectives, and stay focused on what matters most.
What we offer
A culture that supports growth, ownership, and meaningful impact, along with:
- Competitive salary and equity
- Medical, dental, and vision coverage
- Generous PTO and flexible hybrid work model
- 401(k) with employer contribution
- Professional development
- The ability to work on important real-world problems within an Alphabet-backed environment
The US base salary range for this full-time position is $166,000 - $244,000 + bonus + equity + benefits. 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 location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
What Tapestry Inc. employees say
Pay
Benefits
Hours and flexibility
Workplace
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