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Machine Learning Engineer Associate Jobs in Cupertino, CA

Winaxis

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 ...

MM International

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 ...

Pattern AI

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 ...

Pattern AI

Machine Learning Engineer

San Mateo, CA

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 ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine ...

Apple

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 ...

Apple

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 ...

Atoms

Machine Learning Engineer

Mountain View, CA · On-site

As a Machine Learning Engineer at Atoms, you'll be an integral part of building out the state-of-the-art AI intelligence engine and applications for the food industry. Responsibilities : • Leverage ...

Atoms

Machine Learning Engineer

Mountain View, CA · On-site

As a Machine Learning Engineer, you'll be an integral part of building out the state-of-the-art AI intelligence engine and applications for the food industry. Responsibilities : • Leverage cutting ...

Skild AI

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 ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the ...

Apple

Machine Learning Engineer (Search)

Cupertino, CA · On-site

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 ...

Apple

Machine Learning Engineer

Cupertino, CA

$216K - $324K/yr

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$184K - $324K/yr

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 ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA

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

Machine Learning Engineer Associate information

See Cupertino, CA salary details

$51.2K

$102K

$162.9K

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

As of Jul 4, 2026, the average yearly pay for machine learning engineer associate in Cupertino, CA is $101,952.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,800.00 and $117,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
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 Associate jobs in Cupertino, CA? For Machine Learning Engineer Associate jobs in Cupertino, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in Cupertino, CA look for? The top searched job categories for Machine Learning Engineer Associate jobs in Cupertino, CA are:
What cities near Cupertino, CA are hiring for Machine Learning Engineer Associate jobs? Cities near Cupertino, CA with the most Machine Learning Engineer Associate job openings:
Machine Learning Engineer Associate jobs near you
Infographic showing various Machine Learning Engineer Associate job openings in Cupertino, CA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $101,952 per year, or $49 per hour.

Machine Learning Engineer

2T Consulting

Santa Clara, CA

Full-time

Posted 23 days ago

Job description

Overview

We are seeking a highly motivated Machine Learning Engineer to help build next-generation AI-powered search and generative experiences. In this role, you will leverage state-of-the-art machine learning techniques, large language models, and software engineering best practices to develop scalable solutions that enhance user experiences. You will work closely with cross-functional teams to design, deploy, evaluate, and optimize machine learning systems while contributing to a culture of technical excellence and innovation.

Key Responsibilities

  • Leverage and advance the latest developments in Machine Learning, Deep Learning, and Generative AI to deliver high-impact product features.

  • Design, develop, train, and deploy machine learning models for search relevance, ranking, query understanding, question answering, and generative experiences.

  • Build robust evaluation frameworks and metrics to accurately measure model quality, performance, calibration, and user impact.

  • Translate product requirements into machine learning solutions, modeling strategies, and engineering deliverables.

  • Collaborate with Infrastructure, Data Engineering, Product Management, Design, and Quality teams to develop innovative AI-driven features and exceptional search experiences.

  • Optimize model performance, scalability, reliability, and production deployment pipelines.

  • Conduct experiments, analyze results, and iterate on model improvements using data-driven methodologies.

  • Mentor junior engineers and applied scientists, fostering technical growth and promoting engineering best practices.

  • Contribute to the development of a high-performing, world-class AI and Machine Learning team.

Required Qualifications

  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Retrieval, or a related field, or equivalent practical experience.

  • 6+ years of industry experience developing and deploying machine learning solutions in collaborative environments.

  • Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.

  • Strong understanding of machine learning model development, training, evaluation, and deployment.

  • Experience translating business and product requirements into machine learning and software engineering solutions.

  • Proficiency in at least two programming languages, including Python, C/C++, Java, or Go.

  • Strong software engineering fundamentals, including system design, testing, and scalable application development.

Preferred Qualifications

  • Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related technical discipline.

  • Experience with Generative AI technologies, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI frameworks.

  • Prior experience developing machine-learned models for search relevance, ranking, query understanding, recommendation systems, or question-answering applications.

  • Experience building and optimizing consumer-facing AI products at scale.

  • Familiarity with model evaluation, experimentation frameworks, A/B testing, and responsible AI practices.

  • Experience working in fast-paced, cross-functional product organizations.

Technical Skills

  • Machine Learning & Deep Learning

  • Generative AI and Large Language Models (LLMs)

  • Search Relevance and Information Retrieval

  • Query Understanding and Ranking Systems

  • PyTorch, TensorFlow, JAX

  • Python, Java, Go, C/C++

  • Model Training, Evaluation, and Deployment

  • Distributed Systems and Scalable ML Infrastructure

  • Data Analysis and Experimentation

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