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 ...
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 ...
Machine Learning Engineer
Sunnyvale, CA · On-site
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 graphics ...
Machine Learning Engineer
Sunnyvale, CA · On-site
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 graphics ...
Machine Learning Engineer
Sunnyvale, CA · On-site
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 graphics ...
Machine Learning Engineer
Sunnyvale, CA · On-site
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 graphics ...
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 ...
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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 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 ...
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 ...
Machine Learning Engineer Location: San Jose, CA/Chicago, IL Duration: 18 months contract with a possible extension What You'll Do • Redesign and optimize PayPal's MLOps and decision platform for ...
Machine Learning Engineer Location: San Jose, CA/Chicago, IL Duration: 18 months contract with a possible extension What You'll Do • Redesign and optimize PayPal's MLOps and decision platform for ...
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 ...
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 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 ...
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 ...
As a Machine Learning Engineer, you will develop state-of-the-art AI intelligence solutions and collaborate with a team to enhance technology and drive innovation. Responsibilities : • Leverage ...
As a Machine Learning Engineer, you will develop state-of-the-art AI intelligence solutions and collaborate with a team to enhance technology and drive innovation. Responsibilities : • Leverage ...
Machine Learning Engineer
Cupertino, CA · On-site
As a Machine Learning Engineer on our core AI/ML team, you will design and build GenAI-powered features and workflows leveraging LLMs and modern AI techniques. You will collaborate closely with ...
Machine Learning Engineer
Cupertino, CA · On-site
As a Machine Learning Engineer on our core AI/ML team, you will design and build GenAI-powered features and workflows leveraging LLMs and modern AI techniques. You will collaborate closely with ...
Machine Learning Engineer
San Jose, CA · On-site
Advantest is seeking a motivated Junior Machine Learning Engineer to support the development of datadriven and MLpowered solutions for semiconductor R&D, test, and operations teams. In this role,you ...
Machine Learning Engineer
San Jose, CA · On-site
Advantest is seeking a motivated Junior Machine Learning Engineer to support the development of datadriven and MLpowered solutions for semiconductor R&D, test, and operations teams. In this role,you ...
Machine Learning Engineer
Cupertino, CA · On-site
Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal ...
Machine Learning Engineer
Cupertino, CA · On-site
Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal ...
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 ...
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 ...
Machine Learning Engineer Fremont, California Gotion Inc. is based in Silicon Valley, CA, currently building a Manufacturing facility in Manteno, IL and has R&D centers in Ohio, China, Japan and ...
Machine Learning Engineer Fremont, California Gotion Inc. is based in Silicon Valley, CA, currently building a Manufacturing facility in Manteno, IL and has R&D centers in Ohio, China, Japan and ...
Machine Learning Engineer
$212K - $318K/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 ...
Machine Learning Engineer
$212K - $318K/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 ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$150K - $450K/yr
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
Sunnyvale, CA · On-site
$150K - $450K/yr
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
Sunnyvale, CA · On-site
$147K - $272K/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 ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$147K - $272K/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 ...
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 ...
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
$181K - $318K/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 ...
Machine Learning Engineer
$181K - $318K/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 ...
Machine Learning Engineer
Cupertino, CA · On-site
Machine Learning Engineer Location: Cupertino, CA ABOUT THIS FEATURED OPPORTUNITY The Machine Learning Engineer will join the Channel Strategy and Operations team to build intelligent, multimodal ...
Machine Learning Engineer
Cupertino, CA · On-site
Machine Learning Engineer Location: Cupertino, CA ABOUT THIS FEATURED OPPORTUNITY The Machine Learning Engineer will join the Channel Strategy and Operations team to build intelligent, multimodal ...
Machine Learning Engineer Associate information
See Cupertino, CA salary details
$51.2K - $61.4K
1% of jobs
$61.4K - $71.5K
6% of jobs
$71.5K - $81.7K
17% of jobs
$81.8K is the 25th percentile. Wages below this are outliers.
$81.7K - $91.8K
22% of jobs
The median wage is $93.9K / yr.
$91.8K - $102K
18% of jobs
$102K - $112.1K
10% of jobs
$112.9K is the 75th percentile. Wages above this are outliers.
$112.1K - $122.3K
10% of jobs
$122.3K - $132.4K
8% of jobs
$132.4K - $142.6K
4% of jobs
$142.6K - $152.7K
2% of jobs
$152.7K - $162.9K
2% of jobs
$51.2K
$102K
$162.9K
How much do machine learning engineer associate jobs pay per year?
As of Jun 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 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:
Apple rating
8.1
Based on 661 frontline employees who took The Breakroom Quiz
6th of 30 rated technology retailers
Job description
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 learning solutions from research and experimentation through to robust, production-grade deployment.
The MLE will collaborate with other MLEs to build scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment. This hire will design end-to-end AI/ML solutions with clear business impact, from concept to deployment, with a strong focus on feasibility, scalability, and performance. You will benchmark, adapt, and integrate AI/ML models into existing systems.
8 years of related experience building high-throughput, scalable applications or machine learning models in a production environment.Bachelor's Degree in Computer Science, Statistics, Data Mining, Machine Learning, Operations Research, or related field.Proficiency in one or more object-oriented programming languages such as Python, Java, or C++, with hands-on experience building distributed systems.Experience building large-scale machine learning systems using big data technologies such as Spark, SQL, Snowflake, or similar platforms.Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.Familiarity with MLOps practices including model versioning, CI/CD pipelines, and experiment tracking tools such as MLflow or similar.Experience building and deploying applications using large language models (e.g., GPT-4, Claude, Gemini, or open-source alternatives) via APIs or self-hosted inference.Hands-on experience with agentic frameworks such as LangChain, LlamaIndex, or AutoGen to build multi-step, tool-augmented AI workflows.
10 years of related experience building high-throughput, scalable applications or machine learning models in a production environment.Solid understanding of ML fundamentals including supervised/unsupervised learning, model evaluation, and feature engineering.Strong problem-solving skills with the ability to translate ambiguous business problems into well-defined ML solutions.Excellent cross-functional communication skills with the ability to collaborate effectively across engineering and data science teams.Familiarity with LLM evaluation practices including output quality assessment, hallucination detection, and latency benchmarking in production environments.
The MLE will collaborate with other MLEs to build scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment. This hire will design end-to-end AI/ML solutions with clear business impact, from concept to deployment, with a strong focus on feasibility, scalability, and performance. You will benchmark, adapt, and integrate AI/ML models into existing systems.
8 years of related experience building high-throughput, scalable applications or machine learning models in a production environment.Bachelor's Degree in Computer Science, Statistics, Data Mining, Machine Learning, Operations Research, or related field.Proficiency in one or more object-oriented programming languages such as Python, Java, or C++, with hands-on experience building distributed systems.Experience building large-scale machine learning systems using big data technologies such as Spark, SQL, Snowflake, or similar platforms.Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.Familiarity with MLOps practices including model versioning, CI/CD pipelines, and experiment tracking tools such as MLflow or similar.Experience building and deploying applications using large language models (e.g., GPT-4, Claude, Gemini, or open-source alternatives) via APIs or self-hosted inference.Hands-on experience with agentic frameworks such as LangChain, LlamaIndex, or AutoGen to build multi-step, tool-augmented AI workflows.
10 years of related experience building high-throughput, scalable applications or machine learning models in a production environment.Solid understanding of ML fundamentals including supervised/unsupervised learning, model evaluation, and feature engineering.Strong problem-solving skills with the ability to translate ambiguous business problems into well-defined ML solutions.Excellent cross-functional communication skills with the ability to collaborate effectively across engineering and data science teams.Familiarity with LLM evaluation practices including output quality assessment, hallucination detection, and latency benchmarking in production environments.
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976