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Sr Machine Learning Engineer Jobs in California (NOW HIRING)

Apple

Senior Machine Learning Engineer, AI, SIML

Cupertino, CA · On-site

$128K - $177K/yr

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 ...

Absurd Ventures

Machine Learning Engineer

Santa Monica, CA · On-site +1

$165K - $200K/yr

We are seeking a Senior Machine Learning Engineer to help shape the future of content systems and real-time gameplay using cutting-edge machine learning techniques. As Senior Machine Learning ...

Absurd Ventures

Machine Learning Engineer

Santa Monica, CA · On-site

$165K - $200K/yr

We are seeking a Senior Machine Learning Engineer to help shape the future of content systems and real-time gameplay using cutting-edge machine learning techniques. As Senior Machine Learning ...

Apple

Senior Machine Learning Engineer

Cupertino, CA

$181K - $318K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

Illumio

Sr. Machine Learning Engineer

San Jose, CA · On-site

$122K - $168K/yr

As a Senior Machine Learning Engineer, you will architect high-scale distributed systems and lead the development of autonomous agents that drive complex automation and insights for enterprise ...

Apple

Senior Machine Learning Engineer

Cupertino, CA

$181K - $318K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

DocuSign

Senior Machine Learning Engineer

San Francisco, CA · On-site +1

$186K - $300K/yr

What you'll do We are looking for a Senior Machine Learning Engineer to redefine how we operate our global services. You won't just be building dashboards; you will be building the "brain" of our ...

Adobe

Senior Machine Learning Engineer

San Jose, CA

$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 ...

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All JobsSr Machine Learning Engineer JobsSr Machine Learning Engineer Jobs in California

Sr Machine Learning Engineer information

See California salary details

$58.7K

$124.9K

$181.1K

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

As of Jun 24, 2026, the average yearly pay for sr machine learning engineer in California is $124,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $141,600.00 per year, depending on experience, location, and employer.

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

AspectSr Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's/PhD in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business
Industry UsageTech, finance, healthcare, e-commerceResearch, marketing, finance, tech

While both roles involve working with data and models, Sr Machine Learning Engineers focus on building and deploying scalable ML systems, whereas Data Scientists primarily analyze data and develop insights. The roles often overlap but differ in technical focus and responsibilities.

How does a Sr Machine Learning Engineer typically collaborate with data scientists and software engineers within a project team?

Sr Machine Learning Engineers frequently act as a bridge between data scientists, who focus on model development and experimentation, and software engineers, who handle system integration and production deployment. They translate prototype models into scalable, production-ready solutions, ensuring that models are optimized for real-world performance. Collaboration often involves reviewing code, aligning on data pipeline requirements, and participating in regular team meetings to address technical and business objectives. This cross-functional teamwork is essential for delivering reliable machine learning products.

What are Sr Machine Learning Engineers?

Senior Machine Learning Engineers are experienced professionals who design, develop, and implement machine learning models and systems. They work on complex problems, lead technical projects, and often mentor junior engineers. Their responsibilities include data preprocessing, model selection, algorithm development, and optimizing solutions for scalability and performance. Senior ML Engineers also collaborate closely with data scientists, software engineers, and stakeholders to integrate machine learning into products and services.

What are the key skills and qualifications needed to thrive as a Sr Machine Learning Engineer, and why are they important?

To thrive as a Sr Machine Learning Engineer, you need advanced expertise in machine learning theory, programming (Python, R), data modeling, and a strong background in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and relevant certifications (like TensorFlow Developer) is highly beneficial. Strong problem-solving skills, effective communication, and the ability to lead and mentor teams set top candidates apart. These skills ensure the ability to design scalable ML solutions, collaborate effectively, and drive impactful business outcomes.
What are popular job titles related to Sr Machine Learning Engineer jobs in California? For Sr Machine Learning Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Sr Machine Learning Engineer jobs in California look for? The top searched job categories for Sr Machine Learning Engineer jobs in California are:
What cities in California are hiring for Sr Machine Learning Engineer jobs? Cities in California with the most Sr Machine Learning Engineer job openings:
Sr Machine Learning Engineer jobs near you
Infographic showing various Sr Machine Learning Engineer job openings in California as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $124,900 per year, or $60 per hour.

Senior Machine Learning Engineer

Tahoe Therapeutics

South San Francisco, CA

$125K - $172K/yr

Full-time

Posted 24 days ago

Job description

About Tahoe Therapeutics
Tahoe Therapeutics is a biotechnology company pioneering a fundamentally new approach to drug discovery, one that begins with the biology of real patients. Our Mosaic platform is the first to make in vivo data generation scalable, with single-cell resolution, allowing us to map how drugs affect patient-derived cells in the body across a wide range of biological contexts. We are building the world’s largest in vivo single-cell perturbation atlas and using it to train multimodal foundation models that learn the context-dependent nature of gene function, disease progression, and drug response.

By combining cutting-edge machine learning with the most biologically relevant datasets ever assembled in drug discovery, our mission is to find better drugs, faster and bring them to more patients who need them.

Your role
With Tahoe-100M, we solved one of the fundamental bottlenecks in building a virtual model of the cell: generating massive, perturbation-rich, single-cell datasets that capture real biological causality. With Tahoe-x1, we removed the second bottleneck: creating a modern platform for rapid iteration on model architectures and designs in a cost-efficient manner and at scale. At Tahoe, we embody a simple philosophy: build in the open, shoot for the moon, and we’re looking for people who want to push the frontier of what’s possible.

As a Senior Machine Learning Engineer, you will play a leading role in designing the next generation of foundation models of gene regulatory networks powered by Tahoe’s large scale single-cell datasets such as Tahoe-100M and beyond. This role is well-suited for someone with a strong background in machine learning and statistics, and an interest in applying cutting-edge breakthroughs in ML to meaningful problems in drug discovery. We are looking for non-incremental thinkers with the skills to help build models that can make a real impact on drug discovery.
Qualifications - Required
  • Solid Engineering and Computer Science fundamentals, ideally with a degree in CS, Math, or equivalent experience.
  • Exceptional engineering skills to iterate quickly on data processing and training pipelines
  • Experience in building, testing, training, and deploying modern neural network architectures such as Transformers. 
  • Experience with frameworks like PyTorch, Tensorflow, Keras, JAX and the ability to write hardware optimized code for distributed training
Qualifications - Desirable
  • Experience with distributed deep learning using frameworks such as HF Accelerate, Deepspeed, Composer, TorchTitan, Megatron etc.
  • Experience with training large neural networks on multiple compute nodes.
Key Responsibilities
  • Stay at the forefront of ML and computational biology research and rapidly adopt state-of-the-art techniques to train AI virtual cell models on our massive single cell datasets.
  • Work together with ML Scientists to develop the next generation of compute optimized models like Tahoe-x1.
Benefits
  • Unlimited Paid Time Off (PTO).
  • Monthly Lunch budget
  • One-time Office set up budget
  • US Employees: HMO Kaiser Platinum and PPO Anthem Gold medical as well as vision and dental plans for both the employee and dependents.
This position requires on-site presence at our South San Francisco office a minimum of three days per week.

We welcome applicants who require visa sponsorship and provide work authorization support for qualified candidates.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.