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Machine Learning Engineer Associate Jobs in Cupertino, CA

NR Consulting

Machine Learning Engineer

Fremont, CA · On-site

NR Consulting is a company focused on innovative technology solutions, and they are seeking a Machine Learning Engineer to develop and deploy lightweight machine learning models for edge AI ...

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

Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for multimodal AI systems, collaborating with data engineering and research teams to drive the technical ...

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine ...

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 Inc.

Machine Learning Engineer

Sunnyvale, CA · On-site

$150.40 - $277.60/hr

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 ...

Proofpoint

Machine Learning Engineer

Sunnyvale, CA · On-site

Machine Learning Engineer Location : Sunnyvale, CA, USA, Hyderabad, A.P., India , Athens, Greece Role Overview: Proofpoint is building the next generation of AI-powered security systems to protect ...

New

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI systems, collaborate with data engineering and research teams, and influence core decisions around ...

Apple

Machine Learning Engineer

Santa Clara, CA · On-site

$150K - $277K/yr

Our team comprises a diverse range of backgrounds, including applied machine learning engineers with a focus on ML and LLM, and experienced distributed systems engineers. As such, we are seeking ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

Nace AI is a company focused on machine learning solutions, and they are seeking a Machine Learning Engineer to translate cutting-edge research into scalable, production-ready solutions. The role ...

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 ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

$150K - $277K/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 ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

$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 ...

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Showing results 21-40

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 Sep 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 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 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 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 August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $101,952 per year, or $49 per hour.

Machine Learning Engineer

RIT Solutions, Inc.

Fremont, CA • On-site

Full-time

Re-posted 2 days ago

Job description

Job Summary:
RIT Solutions, Inc. is seeking a highly skilled Machine Learning Engineer to join their Software Machine Learning and Computer Vision team. The role involves designing, developing, and deploying advanced machine learning solutions to support factory and warehouse operations, while collaborating with cross-functional teams to address operational challenges.
Responsibilities:
• Design, develop, and deploy machine learning models to enhance factory and warehouse operations.
• Partner with cross-functional stakeholders to identify and solve high-impact operational challenges.
• Build and maintain end-to-end machine learning pipelines, including data ingestion, preprocessing, model training, deployment, and monitoring.
• Evaluate and benchmark machine learning models using statistical methodologies to ensure optimal performance and business value.
• Develop robust monitoring and alerting mechanisms to ensure reliability and rapid issue resolution for production models.
• Integrate and analyze heterogeneous datasets, including image data, sensor outputs, voice recordings, text, and tabular datasets.
• Write clean, scalable, and maintainable code to translate research concepts into production-ready solutions.
Qualifications:
Required:
• Strong proficiency in Python, particularly for high-performance and data-intensive applications.
• Hands-on experience with at least one modern deep learning framework, such as PyTorch, JAX, or TensorFlow.
• Expertise in one or more of the following domains: Computer Vision, Large Language Models (LLMs), Recommender Systems, Operations Research.
• Solid understanding of statistics and experimental methods for model evaluation and comparison.
• Proven experience deploying, monitoring, and maintaining machine learning solutions in production environments.
• Strong commitment to writing clean, modular, and sustainable code.
Preferred:
• Experience working within manufacturing, industrial automation, logistics, or warehouse environments.
• Familiarity with multi-modal data processing and integration techniques.
• Strong analytical and problem-solving abilities with the capacity to thrive in fast-paced and ambiguous environments.
• Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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