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Senior Machine Learning Software Engineer Jobs in Sunnyvale, CA

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 +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 ...

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 ...

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 ...

Hive

Senior Machine Learning Engineer

San Francisco, CA · On-site

$160K - $250K/yr

Hive also offers turnkey software applications powered by proprietary AI models and datasets ... Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best ...

Hive

Senior Machine Learning Engineer

San Francisco, CA

$160K - $250K/yr

Hive also offers turnkey software applications powered by proprietary AI models and datasets ... Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best ...

Apple

Sr. Machine Learning Engineer

Santa Clara, CA

$184K - $324K/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 ...

PayPal, Inc.

Sr Machine Learning Engineer

San Jose, CA · On-site

$143K - $189K/yr

PayPal, Inc. seeks Sr Machine Learning Engineer in San Jose, CA Job Duties: Design and deploy ... software development best practices. Drive innovation by researching and incorporating ...

PayPal

Sr Machine Learning Engineer

San Jose, CA · On-site

$143K - $189K/yr

PayPal, Inc. seeks Sr Machine Learning Engineer in San Jose, CA Job Duties: Design and deploy ... software development best practices. Drive innovation by researching and incorporating ...

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All JobsMachine Learning Software Engineer JobsSenior Machine Learning Software Engineer JobsSenior Machine Learning Software Engineer Jobs in Sunnyvale, CA

Senior Machine Learning Software Engineer information

See Sunnyvale, CA salary details

$88.6K

$168.2K

$225.3K

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

As of Aug 10, 2026, the average yearly pay for senior machine learning software engineer in Sunnyvale, CA is $168,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,800.00 and $189,500.00 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 popular job titles related to Senior Machine Learning Software Engineer jobs in Sunnyvale, CA? For Senior Machine Learning Software Engineer jobs in Sunnyvale, CA, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Software Engineer jobs in Sunnyvale, CA look for? The top searched job categories for Senior Machine Learning Software Engineer jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Senior Machine Learning Software Engineer jobs? Cities near Sunnyvale, 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 Sunnyvale, 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 $168,174 per year, or $80.9 per hour.

Senior Machine Learning Research Engineer, AIML

Apple

Cupertino, CA • On-site

$128K - $177K/yr

Full-time

Re-posted 7 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Are you passionate about Generative AI and excited to work on groundbreaking modeling technologies that will enrich the lives of billions? The AIML team within Apple's software organization is a multidisciplinary group operating at the intersection of Multimodal Foundation Models, Efficient and Scalable ML Infrastructure, and Personalized Intelligent Experiences. As a senior machine learning engineer on our team, you will design software systems and algorithms that enable performant, scalable training and inference for Apple's AI-driven experiences across both on-device and server environments. This role also includes opportunities to open source your work. Join our team of highly skilled, impact-focused engineers!
Description
We're seeking strong senior machine learning research engineers to help build next-generation tools for large-scale deep learning. You'll join a team focused on accelerating training and inference speed, improving scalability, and advancing Apple's centralized ML platform. Candidates should bring polished coding skills and a passion for machine learning and computational science. We offer a respectful work environment, flexible responsibilities, and access to world-class experts and growth opportunities.
In this role, you will develop core components for our scalable ML platform, push the limits of existing training technologies, and create new techniques to overcome system constraints. Your work will be deployed on high-impact tasks across teams building Apple Intelligence products, with opportunities to open-source your contributions.
We are especially looking for PyTorch-focused ML experts driving system-level efficiency from on-device to large-scale models. If you have deep experience with PyTorch internals and high-performance ML infrastructure, we'd love to hear from you. We encourage releasing contributions as open source.
Minimum Qualifications
PhD or Master's degree in Computer Science, or equivalent industry experience, with 3+ years of experience in the AI/ML field.
Strong Python programming skills.
Solid understanding of software-hardware co-design principles and algorithms.
Solid understanding of the PyTorch software stack and experience maintaining state-of-the-art ML frameworks.
Strong understanding of LLM architectures and their core building blocks.
Preferred Qualifications
Experience working on AI/ML-optimized runtime stacks.
Familiarity with parallelization algorithms for large model training.
Familiarity with recent developments in foundation model architectures.
Experience with parallel training libraries such as PyTorch Distributed (torch.distributed), DeepSpeed, or FairScale.
Experience building ML models for on-device inference.
Publication record at ML conferences such as MLSys, NeurIPS, etc.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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