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Machine Learning Manager Jobs in Santa Clara, CA

Kanz

Machine Learning Managers (San Jose)

San Jose, CA · On-site

$149K - $311K/yr

TikTok Product Manager, Privacy‑Preserving Machine Learning San Jose Regular Product Commercial product (ads) Job ID: A03013 Why Join Us Creation is the core of TikTok's purpose. Our platform is ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Help define data collection and management: Partner with process and software teams to improve how ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Help define data collection and management: Partner with process and software teams to improve how ...

EarnIn

Head of Machine Learning

Mountain View, CA · Hybrid

$477K - $583K/yr

As a fintech company where data and machine learning (ML) is integral to both our business strategy ... Collaborate with software engineers, data engineers, product managers, and marketing to coordinate ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Help define data collection and management: Partner with process and software teams to improve how ...

Jobzhr

Machine Learning Engineer

Pleasanton, CA · On-site

$110 - $150/hr

... and management processes. This role involves leveraging these skills to develop, deploy, and ... machine learning models for various applications. SKILLS: * Supervised or unsupervised learning ...

New

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

Collaborate with product management and engineering groups to develop new products and features ... Good understanding of machine learning, deep learning, or data analytics concepts. * Excellent ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

Collaborate with product management and engineering groups to develop new products and features ... Good understanding of machine learning, deep learning, or data analytics concepts. * Excellent ...

Nutanix

Machine Learning Engineer

Santa Clara, CA · On-site

$123.75 - $185/hr

Collaborate with product managers, UX designers, and other engineers to define requirements and ... Knowledge and passion in machine learning algorithms, Gen AI, LLMs, and natural language processing ...

New

Apple

Machine Learning Engineer

Cupertino, CA

$150K - $225K/yr

Join our Global Sourcing & Supply Management (GSSM) Solutions team as a key player in revolutionizing our supply chain. As a Machine Learning Engineer on our core AI/ML team, you will design and ...

Cisco

Machine Learning Engineer

San Jose, CA · On-site

You will work on cutting-edge use cases including delivery intelligence, knowledge management ... Analyze data, develop, validate, and deploy machine learning models that drive measurable ...

Cisco

Machine Learning Engineer

San Jose, CA

You will work on cutting-edge use cases including delivery intelligence, knowledge management ... Analyze data, develop, validate, and deploy machine learning models that drive measurable ...

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Showing results 21-40

All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Santa Clara, CA

Machine Learning Manager information

See Santa Clara, CA salary details

$59.9K

$96K

$138.6K

How much do machine learning manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for machine learning manager in Santa Clara, CA is $95,962.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $108,600.00 per year, depending on experience, location, and employer.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Santa Clara, CA? The most popular types of Machine Learning jobs in Santa Clara, CA are:
What are popular job titles related to Machine Learning Manager jobs in Santa Clara, CA? For Machine Learning Manager jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Santa Clara, CA look for? The top searched job categories for Machine Learning Manager jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Machine Learning Manager jobs? Cities near Santa Clara, CA with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Santa Clara, CA as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $95,962 per year, or $46.1 per hour.

Machine Learning Engineer

MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)

Sunnyvale, CA • On-site

Full-time

Re-posted 22 days ago

Job description

Job Summary:
MBZUAI is a dedicated research lab focused on advancing artificial intelligence through the development of foundation models. The Machine Learning Engineer will be responsible for developing and implementing innovative machine learning models, collaborating with cross-functional teams to deploy scalable solutions that drive impactful AI discoveries.
Responsibilities:
• Collaborate with Research teams to understand technologies, adapting and integrating them into codebase.
• Develop and implement systems to support the lifecycle of machine learning models, such as data preprocessing, pre-training, post-training, evaluation and so on, especially foundation models.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Contribute to research papers and represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
• Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
Qualifications:
Required:
• Bachelor’s degree or equivalent practical experience.
• 3 years of experience in software engineering, including experience with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer Vision.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with data structures or algorithms in either an academic or industry setting.
• 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
• Excellent problem-solving and troubleshooting skills to address complex technical challenges.
• Effective communication and collaboration skills to work with cross functional teams.
Preferred:
• Master's degree or PhD in Computer Science or related technical field.
• 2 years of experience with improving performance during large scale data processing.
• Hands-on experience with LLM algorithms, such as Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF).
• Excellent data analysis skills.
Company:
Official account of Mohamed bin Zayed University of Artificial Intelligence. Dedicated to research, innovation, and empowering brilliant minds in AI. Founded in 2019, the company is headquartered in Abu Dhabi, ARE, with a team of 51-200 employees. The company is currently Growth Stage.

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