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Senior Machine Learning Engineer Jobs in Santa Clara, CA

Klaviyo

Senior Machine Learning Engineer

Palo Alto, CA

$144K - $189K/yr

Sr. Machine Learning Engineer Palo Alto, CA (Onsite 5x a week) At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize ...

Klaviyo

Senior Machine Learning Engineer

Palo Alto, CA · On-site

$144K - $189K/yr

As a Sr. Machine Learning Engineer at Klaviyo , you will help build models that extract insights from the massive streams of data that Klaviyo ingests continuously. You will apply cutting-edge ...

MrBeast

Senior Machine Learning Engineer

San Mateo, CA · Hybrid

$270K - $338K/yr

Senior Machine Learning Engineer Primary: Bay Area (San Francisco / Peninsula) | Secondary: NYC The Opportunity We're doing an AI-first engineering rebuild for a company that already has an audience ...

Intuit

Senior Machine Learning Engineer

Mountain View, CA · On-site

$171K - $231K/yr

Senior Machine Learning Engineer Join a vibrant team of machine learning engineers helping conceive, code, and deploy AI science models at scale using the latest industry tools. As a Senior engineer ...

Intuit

Senior Machine Learning Engineer

Mountain View, CA · On-site

$171K - $231K/yr

Overview Senior Machine Learning Engineer Join a vibrant team of machine learning engineers helping conceive, code, and deploy AI science models at scale using the latest industry tools. As a Senior ...

Adobe

Senior Machine Learning Engineer

San Jose, CA · On-site

$172K - $306K/yr

What You'll Do As a Senior Machine Learning Engineer on the Content Intelligence team, you will lead the development of ML models and systems, to assist with Content Understanding. You will work ...

Unitytech

Senior Machine Learning Engineer

Mountain View, CA · On-site +1

$123K - $169K/yr

We're looking for a Senior Machine Learning Engineer to lead the development of these foundational AI systems within the Unity engine, empowering creators to build smarter, more responsive in-game ...

MrBeast

Senior Machine Learning Engineer

San Mateo, CA · On-site

$270K - $338K/yr

Senior Machine Learning Engineer Primary: Bay Area (San Francisco / Peninsula) | Secondary: NYC The Opportunity We're doing an AI-first engineering rebuild for a company that already has an audience ...

GEICO

Senior Machine Learning Engineer

Palo Alto, CA · On-site

$123K - $168K/yr

They are seeking a Senior Machine Learning Engineer to contribute to the generative AI space, collaborating with a team to design and deploy high-performance AI solutions that drive business value.

SAP

Senior Machine Learning Engineer

Palo Alto, CA · On-site

$140K - $185K/yr

As a Senior Machine Learning Engineer on this team you will be responsible for helping to design and implement a variety of projects around the GenAI space The Role: • Work closely with our lead ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Santa Clara, CA

Senior Machine Learning Engineer information

See Santa Clara, CA salary details

$69.3K

$147.5K

$213.8K

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

As of Sep 5, 2026, the average yearly pay for senior machine learning engineer in Santa Clara, CA is $147,479.00, 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 the most commonly searched types of Machine Learning Engineer jobs in Santa Clara, CA?

The most popular types of Machine Learning Engineer jobs in Santa Clara, CA are:

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

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

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

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

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

Cities near Santa Clara, 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 Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $148,633 per year, or $71.5 per hour.

Senior Machine Learning Engineer

Klaviyo

Palo Alto, CA

$144K - $189K/yr

Full-time

Posted 4 days ago

Job description

Sr. Machine Learning Engineer

Palo Alto, CA (Onsite 5x a week)

At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 200,000+ customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.

As a Sr. Machine Learning Engineer at Klaviyo, you will help build models that extract insights from the massive streams of data that Klaviyo ingests continuously. You will apply cutting-edge techniques from deep learning, recommender systems, language modeling, and more to integrate artificial intelligence into our product and bring customers value. You will need to deep dive into the product and the code to understand and contribute to solutions with your technical knowledge and experiences. You will be working with partners in Engineering, Product, and Design to solve challenging problems, and talking to stakeholders and customers firsthand.

Things you'll do & make a difference

  • Train and deploy large-scale Machine Learning models in production systems to improve the values our product provide to our customers
  • Create AI engines or agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business and demonstrably outperform our human customers at Klaviyo.
  • Introduce conversational AI interfaces into our software to make our customers more efficient users of our products.
  • Build generative AI models that can automatically generate content for marketing given customer input on context, to maximize customer ROI or improve customers' productivity.
  • Work in high impact environments with fast experimentation and product development cycles

What we are looking for:

  • Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • 5+ years of experience in AI, machine learning, or related fields, with a track record of successfully leading large-scale AI / machine learning projects launched in products with a significant impact on users / customers.
  • Experience with machine learning frameworks such as Huggingface, PyTorch, Tensorflow, Keras; Experience with distributed training with Spark, Ray, etc.
  • Experience leading technical projects and working with engineering teams and product managers successfully to deliver customer-facing features
  • Experience of developing and putting machine learning models into production, while also owning and maintaining production models long term
  • Experience owning the full product lifecycle of ML development, including defining success metrics, designing and analyzing A/B tests, and iterating based on result
  • Experience mentoring others

Nice to have:

  • Experience with recommendation systems, including designing, training, and deploying recommendation models, as well as building retrieval and ranking systems.
  • Experience working in B2B businesses and interacting with customers directly
  • Experience developing technical roadmaps for solving complex business problems using Machine Learning
  • Experience fine-tuning and productionizing transformer-based models at scale, particularly large language models.

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