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Senior Machine Learning Software Engineer Jobs in Santa Clara, CA

MrBeast

Senior Machine Learning Engineer

San Mateo, CA · On-site

$119K - $163K/yr

Senior Machine Learning Engineer Primary: Bay Area (San Francisco / Peninsula) | Secondary: NYC The ... Partner with product, data scientists, and software engineers to define and ship ML solutions.

Apple

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

As such, we are seeking candidates with applied machine learning experience and strong software engineering skills. Description Leverage and enhance the latest advancements in machine learning and ...

Apple

Sr. Machine Learning Engineer

Santa Clara, CA

$175K - $263K/yr

We are looking for candidates who have both strong software engineering skills and strong domain knoweldgewith applied machine learning experience and strong software engineering skills. Preferred ...

Apple

Sr. Machine Learning Engineer

Santa Clara, CA

$175K - $263K/yr

We are looking for candidates who have both strong software engineering skills and strong domain knoweldgewith applied machine learning experience and strong software engineering skills. Preferred ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$114K - $156K/yr

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

Tinder

Machine Learning Engineer II

Palo Alto, CA · On-site

$145 - $165/hr

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site

$165K/yr

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$145K - $165K/yr

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

Adobe, Inc.

Sr. Machine Learning Engineer 4

San Jose, CA · On-site

$122K - $168K/yr

We are looking for a Senior Machine Learning Engineer to join our team of driven machine learning and software engineers. This role covers system design, prompt engineering, ML model evaluation ...

Adobe

Sr. Machine Learning Engineer 4

San Jose, CA · On-site

$122K - $168K/yr

We are looking for a Senior Machine Learning Engineer to join our team of driven machine learning and software engineers. This role covers system design, prompt engineering, ML model evaluation ...

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Showing results 21-40

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

Senior Machine Learning Software Engineer information

See Santa Clara, CA salary details

$88.7K

$168.3K

$225.5K

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

As of Aug 11, 2026, the average yearly pay for senior machine learning software engineer in Santa Clara, CA is $168,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,900.00 and $189,700.00 per year, depending on experience, location, and employer.

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

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

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

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

What is a senior machine learning software engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges senior machine learning software engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.
What are the most commonly searched types of Machine Learning Software Engineer jobs in Santa Clara, CA? The most popular types of Machine Learning Software Engineer jobs in Santa Clara, CA are:
What are popular job titles related to Senior Machine Learning Software Engineer jobs in Santa Clara, CA? For Senior Machine Learning Software Engineer jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Software Engineer jobs in Santa Clara, CA look for? The top searched job categories for Senior Machine Learning Software Engineer jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Senior Machine Learning Software Engineer jobs? Cities near Santa Clara, CA with the most Senior Machine Learning Software Engineer job openings:
Senior Machine Learning Software Engineer jobs near you
Infographic showing various Senior Machine Learning Software Engineer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $168,287 per year, or $80.9 per hour.

Senior Machine Learning Engineer

MrBeast

San Mateo, CA • On-site

$119K - $163K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Job description

About Us
Beast Industries is a multifaceted media and entertainment company founded by Jimmy Donaldson, popularly known as MrBeast, the most watched person in the world. Renowned for revolutionizing digital content creation, Beast Industries encompasses a diverse portfolio of ventures that extend far beyond its origins on YouTube. With a mission to entertain, inspire, and create significant social impact, Beast Industries operates across various domains including digital media, philanthropy, consumer products, and innovative business initiatives. At Beast Industries, we believe in the transformative power of digital media and its potential to entertain, educate, and effect positive change. Our commitment to innovation, creativity, and philanthropy drives us to explore new frontiers, create unforgettable experiences, and build a legacy that inspires future generations.
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 of 100M+ people. This is a zero-to-one build with no legacy constraints, so you get to stand up ML systems the right way from day one. You're here to ship machine learning that creates real, measurable value for a massive consumer audience.
The Product
You'll design, build, deploy, and operate ML systems that power the MrBeast ecosystem, bridging data science, software engineering, and platform engineering to ship production-grade capabilities. That means:
  • Build scalable ML systems and services that move real business metrics for an audience of 100M+ people.
  • Own the full lifecycle: pipelines for data processing, feature engineering, training, validation, deployment, and monitoring.
  • Set the bar for AI-first engineering, including how we test new model capabilities and bring them into production.

What You'll Do
  • Design and implement scalable ML systems and services for production.
  • Develop, evaluate, and optimize models against real business problems.
  • Build and maintain ML pipelines across data processing, features, training, validation, and deployment.
  • Establish monitoring, observability, and model-performance tracking.
  • Partner with product, data scientists, and software engineers to define and ship ML solutions.
  • Drive architecture decisions for ML infrastructure and platform capabilities, and cut deployment cycle time.
  • Mentor engineers, set best practices, and make sure systems meet security, reliability, and compliance bars.

Who You Are
  • AI-Native: You live and breathe this: you're already burning through tokens daily, and shipping ML is the job itself.
  • Production ML Builder: Typically 8+ years in software or ML engineering, with strong experience deploying and operating ML systems in production and solid Python and software engineering practice.
  • Systems Thinker: You've designed scalable distributed systems and data-intensive applications, and you know why a model that looks great offline can fail in production.
  • Evidence-Driven Owner: You decide with experimentation and measurable results, and you own outcomes from design through production operation.

Bonus points for MLOps platforms and automated model lifecycle management, cloud-native ML architectures and distributed training, responsible AI and model governance, and leading technical initiatives across multiple teams.
Benefits
  • Equity: Highly competitive equity package designed for a foundational hire.
  • Hybrid Model: Expected ~3 days per week in-office (Bay Area or NYC).

Benefits
The Perks, Why Work On the MrBeast Team
We are redefining what entertainment and storytelling look like at global scale. Every piece of content we publish reaches millions and influences culture in real time. This is your opportunity to lead the team that decides how those moments come to life across every screen.
  • Competitive Salary
  • Generous Medical (Blue Cross Blue Shield), Dental, Vision and company-paid Life Insurance
  • Company contributions to employee Health Savings Accounts (HSA)
  • 401k Plan with Safe Harbor company-matching
  • Flexible vacation policy and paid company holidays
  • Company-provided technology package
  • Relocation assistance where applicable, including travel and company-provided housing for the first 90 days

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