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Machine Learning Engineer Associate Jobs in Cupertino, CA

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 ...

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 ...

Machine Learning Engineer

Pleasanton, CA ยท 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 ...

Machine Learning Engineer

Cupertino, CA ยท On-site

$143 - $264/hr

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

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 ...

Machine Learning Engineer

San Mateo, CA ยท On-site

$195 - $350/hr

We're hiring a Machine Learning Engineer as the volume and complexity of legal AI workflows in our system scale rapidly. As more firms rely on Eve to automate highโ€‘stakes legal work -- from intake ...

Machine Learning Engineer

San Jose, CA ยท On-site

$188 - $271/hr

PayPal, Inc. seeks Machine Learning Engineer in San Jose, CA Job Duties: Design, develop, implement, deploy, and monitor predictive models using machine learning techniques, including neural networks ...

New

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 ...

New

Spark Tek Inc is seeking a highly skilled Machine Learning Engineer to design and build a low-latency query understanding and intelligent routing system. The role involves working on data modeling ...

Machine Learning Engineer

San Jose, CA ยท On-site

$96K - $128K/yr

We are looking for a Machine Learning Engineer to join our team of driven machine learning and software engineers. This role covers system design, prompt engineering, ML model evaluation, building ...

Lead Machine Learning Engineer (IC)

San Jose, CA ยท On-site +1

$120K - $158K/yr

Lead Machine Learning Engineer (IC) 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.

Machine Learning Engineer

Santa Clara, CA ยท On-site

$123.75 - $185/hr

Proficiency in programming languages such as Python, and experience with machine learning frameworks like TensorFlow or PyTorch. * Experience with cloud platforms (AWS) and containerization ...

Machine Learning Engineer

San Jose, CA ยท On-site

$188 - $271/hr

PayPal, Inc. seeks Machine Learning Engineer in San Jose, CAJob Duties: Design, develop, implement, deploy, and monitor predictive models using machine learning techniques, including neural networks ...

New

PayPal, Inc. seeks Machine Learning Engineer in San Jose, CA Job Duties: Design, develop, implement, deploy, and monitor predictive models using machine learning techniques, including neural networks ...

Showing results 41-60

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 Aug 14, 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 is a machine learning engineer associate?

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:

Infographic showing various Machine Learning Engineer Associate 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 $101,952 per year, or $49 per hour.

Machine Learning Engineer, Drive

Visa Hunt

Sunnyvale, CA โ€ข On-site

$150 - $210/hr

Other

Posted 4 days ago


Job description

About the Team

DoorDash Drive powers deliveries placed through merchants' own channelsโ€”including their websites, mobile apps, and phone ordersโ€”using DoorDash's logistics network. The Drive Machine Learning team builds the prediction and intelligence systems that power this business, including delivery and pickup time estimation, merchant prep-time prediction, order release optimization, logistics decisionโ€‘making, and AIโ€‘powered delivery quality signals.

Drive presents a unique machine learning challenge. Every merchant has different operational workflows, preparation patterns, and customer expectations, requiring models that generalize across millions of deliveries while adapting to highly diverse merchant behavior. Our team has significant opportunities to improve prediction accuracy, optimize logistics decisions, and build AIโ€‘native experiences that directly improve merchant, consumer, and dasher outcomes.

About the Role

As a Machine Learning Engineer on the Drive team, you'll own machine learning systems end-to-endโ€”from feature engineering and model development to experimentation, deployment, monitoring, and continuous iteration.

Your work will span several high-impact problem areas:

  • Build next-generation machine learning models for delivery ETA, pickup ETA, merchant prepโ€‘time estimation, and order release prediction that improve reliability for merchants and consumers.
  • Develop deep learning models that leverage largeโ€‘scale spatiotemporal, marketplace, and behavioral signals to improve prediction accuracy.
  • Apply reinforcement learning and optimization techniques to improve logistics decisionโ€‘making, assignment strategies, and marketplace efficiency.
  • Build AIโ€‘native product experiences using large language models (LLMs) and visionโ€‘language models (VLMs). For example, transform pickup photos, item verification flows, receipts,
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