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Machine Learning Engineer Intern Jobs in Cupertino, CA

Altera

Machine Learning Engineer

San Jose, CA · On-site

About the Role We are seeking a Machine Learning Engineer to help drive the development,optimizationand deploymentof Altera FPGA Compiler. In this role, you will work at the intersection of machine ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

  • Medical

  • Retirement

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

  • Medical

  • Retirement

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

Articul8

Machine Learning Engineer

Dublin, CA · On-site

We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data ...

Unity Technologies

Machine Learning Engineer

Mountain View, CA · On-site

$117K - $152K/yr

  • Medical

  • Life

  • Retirement

  • PTO

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

They are seeking a Machine Learning Engineer to translate research into scalable solutions, collaborating with teams to architect robust systems and integrate AI-driven features into applications.

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Apple

Machine Learning Engineer (Search)

Cupertino, CA

$150K - $225K/yr

  • Medical

  • Dental

  • Retirement

We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of ...

Visa Hunt

Machine Learning Engineer, Drive

Sunnyvale, CA · On-site

$150 - $210/hr

About the Role As a Machine Learning Engineer on the Drive team, you'll own machine learning systems end-to-end--from feature engineering and model development to experimentation, deployment ...

Voltai

Machine Learning Engineer

Menlo Park, CA · On-site

The Machine Learning Engineer will architect and develop high-performance AI systems, manage large-scale datasets, and translate state-of-the-art research into production-ready code while ...

Jobzhr

Machine Learning Engineer

Pleasanton, CA · On-site

$110 - $150/hr

... with machine learning frameworks such as TensorFlow, Keras, and PyTorch. Knowledge of cloud platforms and technologies, specifically Microsoft Azure, is crucial. Experience in DevOps and MLOps ...

shefsolutionsllc

Machine Learning Engineer

Cupertino, CA · On-site

$143 - $264/hr

  • Medical

  • Dental

  • Retirement

Description We are seeking an experienced Machine Learning Research Engineer to design and apply state-of-the-art research in machine learning for data-centric problems! Your responsibilities will ...

New

Gotion, Inc.

Machine Learning Engineer

Fremont, CA · On-site

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 ...

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Showing results 41-60

All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Cupertino, CA

Machine Learning Engineer Intern information

See Cupertino, CA salary details

$31.5K

$52.5K

$108.6K

How much do machine learning engineer intern jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning engineer intern in Cupertino, CA is $52,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,100.00 and $56,800.00 per year, depending on experience, location, and employer.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Cupertino, CA?

The most popular types of Machine Learning Engineer jobs in Cupertino, CA are:

What are popular job titles related to Machine Learning Engineer Intern jobs in Cupertino, CA?

For Machine Learning Engineer Intern jobs in Cupertino, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Intern jobs in Cupertino, CA look for?

The top searched job categories for Machine Learning Engineer Intern jobs in Cupertino, CA are:

What cities near Cupertino, CA are hiring for Machine Learning Engineer Intern jobs?

Cities near Cupertino, CA with the most Machine Learning Engineer Intern job openings:

Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Cupertino, CA as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $52,537 per year, or $25.3 per hour.

Machine Learning Engineer

Altera

San Jose, CA • On-site

Full-time

Posted 8 days ago

Job description

Job Details:Job Description:

Altera is a global leader in programmable logic solutions, delivering highperformance FPGA technology that powers nextgeneration cloud, networking, and edge applications. With a renewed focus on agility, softwarefirst usability, andhardwareacceleratedinnovation, Altera is shaping the future of computing. Join us as we build the next wave ofAI optimizedFPGA platforms and tools!

About the Role

We are seeking a Machine Learning Engineer to help drive the development,optimizationand deploymentof Altera FPGA Compiler. In this role, you will work at the intersection ofmachine learningand compiler/toolchain development, enabling customers to achieve breakthrough performance and efficiency on programmable logic.

You will collaborate closely with hardware architects, software engineers, and IP developers to design ML models,optimizeinference pipelines, and contribute to the evolution of Altera's FPGACompiler.

Key Responsibilities

  • Develop,optimize, and deploy advanced machine learning technologies to enhance FPGA compiler performance,focusingon timing closure, resourceutilization, and power efficiency.

  • Evaluate and integrate emerging ML models (e.g., graph neural networks, reinforcement learning) and frameworks (e.g.,PyTorch, TensorFlow) for compiler optimization tasks like placement, routing, and logic synthesis.

  • Build robust tools, scripts, and CI/CD workflows to automate model conversion, quantization, pruning, and deployment within the FPGA design flow, ensuring compatibility with EDA tools like Quartus.

  • Collaborate with customers, FPGA architects, and internal engineering teams to gather ML requirements, define success metrics, and deliver tailored, production-ready solutions.

  • Design and execute comprehensive benchmarks to measure ML-optimized compiler performance across diverse FPGA families (e.g.,Agilex, Stratix), analyzing metrics such as compile time,QoR, and scalability.

Salary Range

The pay range below is for Bay Area California only. Actual salary may vary based ona number offactors including job location, job-related knowledge, skills, experiences,trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.

$200.4K- $290.1KUSD

We use artificial intelligence to screen, assess, or select applicants for the position.Applicants must be eligible for any required U.S. export authorizations.

Qualifications:

Minimum Qualifications

  • Bachelor'sDegree or higher in Computer Science, Electrical Engineering, or a related field.

  • 10+years of experience in machine learning development, modeloptimizationor ML systems engineering.

  • Experience with C++ and Python in production or research environments.

Preferred Qualifications

  • Experience with Agile methodologies, GitHub Copilot or similar AI coding assistants, and high-performance computing environments.

  • Familiarity with edge AI inference on FPGAs and neuro-symbolic AI techniques.

  • Strong communicationskills for cross-functional collaboration and presenting results at conferences like DAC or FPGA World.

Job Type: RegularShift:Shift 1 (United States of America)Primary Location:San Jose, California, United StatesAdditional Locations:Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

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