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Machine Learning Engineer Associate Jobs in Cupertino, CA

Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that drive business value.

Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that drive business value.

Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that ...

Machine Learning Engineer Location: Fremont, CA Duration: 12+ Months Tesla/ $65 About the Role Our direct client is seeking a highly skilled Machine Learning Engineer to join their Software Machine ...

Machine Learning Engineer LeanData helps the world's fastest-growing companies automate, simplify, and accelerate revenue. We are looking for a curious and innovative Machine Learning Engineer to ...

Machine Learning Engineer San Mateo, Pittsburgh Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios ...

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 ...

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 ...

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 ...

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'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 ...

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 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 ...

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 ...

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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 Jun 13, 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:
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

Machine Learning Engineer

RAPID EAGLE INC

Sunnyvale, CA • Remote

$70 - $80/hr

Full-time

Posted 2 days ago


Job description

Machine Learning Engineer
100% Remote

We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that drive business value. The ideal candidate will have strong expertise in machine learning algorithms, data engineering, model deployment, and cloud technologies.

Key Responsibilities:
  •  Design, develop, and deploy machine learning models for predictive analytics, classification, recommendation systems, and NLP applications. 
  •  Build and optimize end-to-end ML pipelines for data ingestion, feature engineering, model training, validation, and deployment. 
  •  Collaborate with Data Scientists, Data Engineers, and business stakeholders to translate business requirements into ML solutions. 
  •  Develop and maintain scalable APIs and microservices for model serving. 
  •  Monitor model performance, retrain models, and implement MLOps best practices. 
  •  Work with large-scale structured and unstructured datasets. 
  •  Optimize model accuracy, scalability, and reliability in production environments. 
  •  Implement CI/CD pipelines for ML model deployment and lifecycle management. 
Required Skills:
  •  5+ years of experience in Machine Learning Engineering or Data Science. 
  •  Strong programming skills in Python
  •  Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-Learn, XGBoost
  •  Strong understanding of machine learning algorithms, statistics, and data structures. 
  •  Experience with SQL, data processing, and feature engineering. 
  •  Hands-on experience with cloud platforms such as AWS, Azure, or GCP
  •  Experience with Docker, Kubernetes, CI/CD pipelines, and MLOps tools. 
  •  Knowledge of REST APIs, microservices architecture, and model deployment. 
  •  Experience working with distributed computing frameworks such as Spark.

Rapid Eagle logo

About Rapid Eagle

Sourced by ZipRecruiter

Rapid Eagle is dedicated to delivering testing solutions that help organizations take on important initiatives and reach their goals. They have a strong understanding of various industries and functions, utilize advanced technology, and operate on a global scale. The company encourages a culture of entrepreneurial thinking at all levels, promoting ownership, leadership, and accountability. What sets Rapid Eagle apart is their expertise in providing comprehensive testing solutions. They have a specialized team with extensive knowledge and experience, combining traditional values, a strong work ethic, and expertise in specific domains. The management team also has a deep understanding of client expectations. In short, Rapid Eagle Technologies is an IT company that focuses on testing solutions, brings together a skilled team with industry expertise, and strives to meet client expectations.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Fremont, CA, US

Year founded

2005

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