Machine Learning Engineer
$150K - $277K/yr
... engineers across Apple.","responsibilities":"Design, train and tune machine learning algorithms, support camera architects to drive innovative solutions for imaging and sensing challenges, and ...
Machine Learning Engineer
$150K - $277K/yr
... engineers across Apple.","responsibilities":"Design, train and tune machine learning algorithms, support camera architects to drive innovative solutions for imaging and sensing challenges, and ...
Machine Learning Engineer
$160K - $190K/yr
We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...
Quick apply
Machine Learning Engineer
$160K - $190K/yr
We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...
Quick apply
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...
Machine Learning Engineer
Chatsworth, CA · On-site
$160K - $190K/yr
We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...
Machine Learning Engineer
Chatsworth, CA · On-site
$160K - $190K/yr
We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...
Machine Learning Engineer
San Jose, CA · On-site
As a Machine Learning Engineer, you will play a key role in developing machine learning models and algorithms. Our team is dedicated to solving complex business challenges through innovative machine ...
Machine Learning Engineer
San Jose, CA · On-site
As a Machine Learning Engineer, you will play a key role in developing machine learning models and algorithms. Our team is dedicated to solving complex business challenges through innovative machine ...
Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Machine Learning Join an artificial intelligence company in San Francisco that excels at visual ...
Quick apply
Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Machine Learning Join an artificial intelligence company in San Francisco that excels at visual ...
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...
Quick apply
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...
Experience sourcing for Software Engineers / Machine Learning Engineers. * Understanding of Machine Learning Ops / Infrastructure. Compensation Salary based on experience Actual compensation awarded ...
Experience sourcing for Software Engineers / Machine Learning Engineers. * Understanding of Machine Learning Ops / Infrastructure. Compensation Salary based on experience Actual compensation awarded ...
SRE with MLops Platform
Sunnyvale, CA · On-site
$67 - $89/hr
Experience Required : * 6 Plus years of experience in ML Ops with strong knowledge in Kubernetes ... Exposure to machine learning methodology and best practices * Good communication skills and ability ...
Quick apply
SRE with MLops Platform
Sunnyvale, CA · On-site
$67 - $89/hr
Experience Required : * 6 Plus years of experience in ML Ops with strong knowledge in Kubernetes ... Exposure to machine learning methodology and best practices * Good communication skills and ability ...
Machine Learning Engineer
Los Angeles, CA · On-site
As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling advanced software systems to automate Design for Manufacturing analysis. Responsibilities : • ...
Machine Learning Engineer
Los Angeles, CA · On-site
As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling advanced software systems to automate Design for Manufacturing analysis. Responsibilities : • ...
Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the ...
Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the ...
Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the ...
Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$150K - $450K/yr
The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$150K - $450K/yr
The Role As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world ...
Machine Learning Engineer
Los Angeles, CA · On-site
THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying ...
Machine Learning Engineer
Los Angeles, CA · On-site
THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying ...
As a Machine Learning Engineer, you'll be an integral part of building out the state-of-the-art AI intelligence engine and applications for the food industry. Responsibilities : • Leverage cutting ...
As a Machine Learning Engineer, you'll be an integral part of building out the state-of-the-art AI intelligence engine and applications for the food industry. Responsibilities : • Leverage cutting ...
THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying ...
THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying ...
Machine Learning Engineer
$216K - $324K/yr
As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine ...
Machine Learning Engineer
$216K - $324K/yr
As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine ...
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. Responsibilities : • Leverage ...
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. Responsibilities : • Leverage ...
Machine Learning Ops Engineer information
See California salary details
$31.1K - $45.6K
1% of jobs
$45.6K - $60.2K
1% of jobs
$60.2K - $74.7K
5% of jobs
$74.7K - $89.2K
6% of jobs
$101.2K is the 25th percentile. Wages below this are outliers.
$89.2K - $103.8K
14% of jobs
$103.8K - $118.3K
14% of jobs
The median wage is $125.6K / yr.
$118.3K - $132.8K
18% of jobs
$132.8K - $147.4K
14% of jobs
$150.3K is the 75th percentile. Wages above this are outliers.
$147.4K - $161.9K
12% of jobs
$161.9K - $176.4K
11% of jobs
$176.4K - $191K
5% of jobs
$31.1K
$127.1K
$191K
How much do machine learning ops engineer jobs pay per year?
As of Jul 10, 2026, the average yearly pay for machine learning ops engineer in California is $127,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $153,000.00 per year, depending on experience, location, and employer.
What is a Machine Learning Ops Engineer job?
A Machine Learning Ops Engineer (MLOps Engineer) focuses on deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and software engineering, ensuring models run efficiently, reliably, and at scale. Their responsibilities include automating workflows, managing infrastructure, and ensuring CI/CD pipelines for ML models. They work with tools like Kubernetes, Docker, and cloud platforms to streamline model deployment. Ultimately, an MLOps Engineer ensures that machine learning models are operationalized and continuously improved in a real-world environment.
What does a typical day look like for a Machine Learning Ops Engineer?
A typical day for a Machine Learning Ops Engineer involves collaborating with data scientists to streamline the deployment of models, building and maintaining scalable infrastructure on cloud services, and automating workflows with CI/CD tools. You may troubleshoot issues in production environments, monitor model performance, and implement solutions for model versioning and retraining. Often, you’ll work closely with software engineers, DevOps teams, and data analysts to ensure seamless integration of machine learning solutions into products. This cross-functional role keeps you engaged with cutting-edge technology and provides opportunities to influence both technical and business outcomes.
What are the key skills and qualifications needed to thrive in the Machine Learning Ops Engineer position, and why are they important?
To thrive as a Machine Learning Ops Engineer, you need a solid grasp of machine learning concepts, cloud platforms, software engineering, and DevOps practices, typically supported by a degree in computer science or a related field. Experience with tools like Docker, Kubernetes, TensorFlow, CI/CD pipelines, and certifications such as AWS Certified Machine Learning – Specialty are highly valuable. Strong problem-solving skills, communication, and the ability to work collaboratively across data science and engineering teams set top candidates apart. These skills ensure reliable deployment, scalability, and optimization of machine learning models in production environments.
What are popular job titles related to Machine Learning Ops Engineer jobs in California? For Machine Learning Ops Engineer jobs in California, the most frequently searched job titles are:
- Google Cloud Machine Learning Engineer
- Lead Machine Learning Engineer
- Machine Learning Engineer Biotech
- Deep Learning Engineer
- Machine Learning Engineer Apprenticeship
- Machine Learning Engineer
- Entry Level Machine Learning Engineer
- Senior Machine Learning Engineer
- Scientific Machine Learning
- Urgently Hiring Machine Learning Engineer Biotech
What job categories do people searching Machine Learning Ops Engineer jobs in California look for? The top searched job categories for Machine Learning Ops Engineer jobs in California are:
- Nlp Practitioner
- Embedded Machine Learning Internship
- Bayesian Optimization
- Senior Tesla Machine Learning Engineer
- Contractual Machine Learning Government
- Machine Learning Algorithms
- Principal Machine Learning Engineer
- Machine Learning Winter Internship
- Internship Machine Learning Compiler Engineer
- Machine Learning Manager
What cities in California are hiring for Machine Learning Ops Engineer jobs? Cities in California with the most Machine Learning Ops Engineer job openings:
$150K - $277K/yr
Full-time
Medical, Dental, Retirement
Re-posted 16 days ago
Apple rating
8.1
Based on 667 frontline employees who took The Breakroom Quiz
5th of 30 rated technology retailers
Job description
Do you love taking on big challenges that require exceptionally creative solutions?
The Camera & Depth Architecture organization is responsible for research, design, and specifications of cameras and sensors for iPhone and other Apple products. As part of our machine learning team, you will play a vital role in prototyping foundational machine learning tools that bridge the camera hardware and software, in order to build flawless camera technology innovations and experiences that we are known worldwide.
Description
In this role, you will innovate foundational machine learning algorithms for computational photography and computer vision, to research, design and qualify novel cameras and sensors for future Apple products, in collaboration with a wide spectrum of top engineers across Apple.","responsibilities":"Design, train and tune machine learning algorithms, support camera architects to drive innovative solutions for imaging and sensing challenges, and provide data-driven feedback for future camera architectures across a wide spectrum of Apple products.
Work closely with cross functional teams to build computational imaging and machine learning prototypes for future Apple products that enable novel photography experiences.
Build differentiable simulation and physics-informed machine learning pipelines to analyze and improve cameras and sensors.
Ground the exploration via validated simulation and metrology results to avoid machine learning domain gaps and ensure production feasibility.
Preferred Qualifications
MS/PhD in computer vision, electrical, optical or computer engineering or related fields.
Experience or strong personal curiosity with designing imaging and sensing systems.
Strong independent problem-solving and communication skills.
Solid understanding of machine learning, deep learning fundamentals and optimizations; practical expertise in designing, training and improving deep neural networks.
Experience with cutting edge computer vision and machine learning research trends and models.
Experience with two or more of the following: ISP (image signal processing), 3A (AE, AF, AWB), diffusion models, multi-modal, generative AI, sensor fusion, sensor physics, differentiable rendering, 3D rendering.
Minimum Qualifications
BS in electrical, optical or computer engineering/science, and a minimum of 3 years relevant industry experience
Experience with software coding in Python.
Experience with one of the following: machine learning/deep learning systems, computer vision, graphics, computational imaging applications.
Experience with Pytorch.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
The Camera & Depth Architecture organization is responsible for research, design, and specifications of cameras and sensors for iPhone and other Apple products. As part of our machine learning team, you will play a vital role in prototyping foundational machine learning tools that bridge the camera hardware and software, in order to build flawless camera technology innovations and experiences that we are known worldwide.
Description
In this role, you will innovate foundational machine learning algorithms for computational photography and computer vision, to research, design and qualify novel cameras and sensors for future Apple products, in collaboration with a wide spectrum of top engineers across Apple.","responsibilities":"Design, train and tune machine learning algorithms, support camera architects to drive innovative solutions for imaging and sensing challenges, and provide data-driven feedback for future camera architectures across a wide spectrum of Apple products.
Work closely with cross functional teams to build computational imaging and machine learning prototypes for future Apple products that enable novel photography experiences.
Build differentiable simulation and physics-informed machine learning pipelines to analyze and improve cameras and sensors.
Ground the exploration via validated simulation and metrology results to avoid machine learning domain gaps and ensure production feasibility.
Preferred Qualifications
MS/PhD in computer vision, electrical, optical or computer engineering or related fields.
Experience or strong personal curiosity with designing imaging and sensing systems.
Strong independent problem-solving and communication skills.
Solid understanding of machine learning, deep learning fundamentals and optimizations; practical expertise in designing, training and improving deep neural networks.
Experience with cutting edge computer vision and machine learning research trends and models.
Experience with two or more of the following: ISP (image signal processing), 3A (AE, AF, AWB), diffusion models, multi-modal, generative AI, sensor fusion, sensor physics, differentiable rendering, 3D rendering.
Minimum Qualifications
BS in electrical, optical or computer engineering/science, and a minimum of 3 years relevant industry experience
Experience with software coding in Python.
Experience with one of the following: machine learning/deep learning systems, computer vision, graphics, computational imaging applications.
Experience with Pytorch.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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