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Senior Machine Learning Engineer Jobs in Milpitas, CA

Intuitive

Senior Machine Learning Engineer

Sunnyvale, CA · On-site

$143K - $189K/yr

As a machine learning engineer on the Ion project, you will join a small team of experts in medical imaging, robotics, and software. You will play a lead technical role, working to conceptualize ...

Adobe, Inc.

Sr Machine Learning Engineer

San Jose, CA · On-site

$122K - $168K/yr

Adobe is looking for a Senior Machine Learning Services Engineer to help bring new AI and Generative AI capabilities into production across Adobe's flagship creative products. In this role, you will ...

Rubrik

Senior Machine Learning Engineer

Palo Alto, CA · On-site

$123K - $168K/yr

They are seeking a Senior Machine Learning Engineer to work on their Semantic AI Governance Engine, SAGE, which monitors and governs autonomous AI agents in real time. The role involves end-to-end ...

Roku

Senior Machine Learning Engineer

San Jose, CA · On-site

$229K - $360K/yr

About the Role We seek an outstanding, creative, and passionate Machine Learning Platform Engineer to join Roku's Recommendation team. In this role, you will design, build, and scale robust ...

Intel

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research and model fine tuning. This role sits at the intersection of research and engineering: the ideal ...

Atoms

Senior Machine Learning Engineer

Mountain View, CA · On-site

$175K - $230K/yr

What you'll do As a Machine Learning Engineer at Atoms, you'll be an integral part of building out the state-of-the-art AI intelligence engine and applications for the food industry. Your role will ...

Velo3D

Senior Machine Learning Engineer

Fremont, CA

$155K - $200K/yr

We are looking for a machine learning engineer to kick start our efforts to predict printability of complex part geometry. The ideal candidate will have experience in organizing data and developing ...

New

Roku

Senior Machine Learning Engineer

San Jose, CA · On-site

$229K - $360K/yr

About the Role We seek an outstanding, creative, and passionate Machine Learning Platform Engineer to join Roku's Recommendation team. In this role, you will design, build, and scale robust ...

Roku

Senior Machine Learning Engineer

San Jose, CA · On-site

$229K - $360K/yr

About the Role We seek an outstanding, creative, and passionate Machine Learning Platform Engineer to join Roku's Recommendation team. In this role, you will design, build, and scale robust ...

Intuitive

Senior Machine Learning Engineer

Sunnyvale, CA · On-site

$143K - $189K/yr

As a machine learning engineer on the Ion project, you will join a small team of experts in medical imaging, robotics, and software. You will play a lead technical role, working to conceptualize ...

PayPal

Sr Machine Learning Engineer

San Jose, CA · On-site

$159K - $236K/yr

This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to ...

Intuitive

Senior Machine Learning Engineer

Sunnyvale, CA · On-site

$143K - $189K/yr

Minimum Master's degree or PhD in Computer Science, Electrical Engineering, or related fields * Deep understanding and hands-on experience in computer vision, and machine learning algorithm ...

Adobe

Sr Machine Learning Engineer

San Jose, CA · On-site

$122K - $168K/yr

Adobe is looking for aSenior Machine Learning Services Engineerto help bring new AI and Generative ... This is a hands-on senior IC role with meaningful technical ownership and direct impact on customer ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Milpitas, CA

Senior Machine Learning Engineer information

See Milpitas, CA salary details

$69.3K

$147.5K

$213.8K

How much do senior machine learning engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for senior machine learning engineer in Milpitas, CA is $147,486.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,800.00 and $167,200.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are popular job titles related to Senior Machine Learning Engineer jobs in Milpitas, CA?

For Senior Machine Learning Engineer jobs in Milpitas, CA, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Engineer jobs in Milpitas, CA look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Milpitas, CA are:

What cities near Milpitas, CA are hiring for Senior Machine Learning Engineer jobs?

Cities near Milpitas, CA with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Milpitas, CA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $147,486 per year, or $70.9 per hour.

Senior Machine Learning Engineer

TetraMem - Accelerate The World

San Jose, CA

$200K - $280K/yr

Full-time

Re-posted 24 days ago

Job description

Responsibilities:

  • Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing.
  • Implement and optimize ML models on embedded platforms, including FPGA and custom ASIC solutions.
  • Work closely with hardware and software teams to integrate ML models into production systems.
  • Research and implement state-of-the-art ML techniques to enhance model efficiency, latency, and power consumption for embedded AI applications.
  • Improve inference efficiency and model compression techniques, including quantization, pruning, and knowledge distillation.
  • Collaborate with cross-functional teams to drive innovation and contribute to the overall system architecture.
  • Provide technical leadership and mentorship to junior engineers.
  • Publish research findings, present at conferences, and contribute to open-source projects when applicable.

Requirements:

  • 5+ years of relevant industry experience (or a PhD) in Computer Science, Electrical Engineering, Machine Learning, or related fields.
  • Must have prior experience managing a team, serving in a Team Lead role, or demonstrating strong technical leadership and cross-functional coordination capabilities.
  • Strong hands-on experience in machine learning, with a focus on edge AI, on-device inference, and deploying lightweight models on resource-constrained devices.
  • Expertise in modern ML frameworks such as PyTorch, TensorFlow (including TensorFlow Lite), and JAX.
  • Proficiency in Python and C/C++, with practical experience in ML model optimization and production deployment.
  • Deep experience with model quantization (PTQ/QAT), pruning, knowledge distillation, sparsity, and other compression techniques for efficient edge inference.
  • Hands-on experience developing for or integrating with AI chip SDKs, neural accelerators (NPUs/DSPs), or hardware-specific toolchains (e.g., NVIDIA TensorRT, Qualcomm Neural Processing SDK, ARM Ethos, or similar).
  • Familiarity with edge inference runtimes (ONNX Runtime, ExecuTorch, TVM) and optimizing models for hardware constraints (latency, memory footprint, power consumption).

Experience in one or more of the following areas considered a strong plus:

  • Understanding of ML compiler and runtime design.
  • Experience working with tools such as Optimum, ONNX, TensorRT, TFLite/LiteRT, ncnn, or CoreML.
  • Familiarity with hardware acceleration techniques.
  • Experience in embedded system development.

Salary Range: $200,000 - $280,000 / year

TetraMem celebrates diversity and is committed to creating an inclusive environment for all employees. We are proud to be an Equal Opportunity Employer and welcome applicants from all backgrounds. Qualified candidates will receive consideration for employment without regard to race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, marital status, medical condition, disability, genetic information, military or veteran status, or any other characteristic protected by applicable federal, state, or local law.
TetraMem is committed to providing reasonable accommodations to qualified applicants with disabilities throughout the recruitment process. Applicants requiring accommodation may contact Human Resources for assistance.
To ensure a fair, consistent, and efficient hiring process, all candidates must apply through TetraMems official ClearCompany Applicant Tracking System (ATS). Applications submitted through the ATS allow our hiring team to evaluate candidates using a standardized process and ensure timely communication throughout the recruitment process. To promote equal consideration for all applicants, applications submitted outside of the ClearCompany ATS, including direct emails, LinkedIn messages, or unsolicited submissions to employees, may not be reviewed or considered.
We encourage all interested candidates to apply through the official TetraMem Careers page.

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