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Machine Learning Jobs in Santa Rosa, CA (NOW HIRING)

Cellular Data & Automation Engineer

Bodega Bay, CA · On-site

$120.30K - $210.10K/yr

Furthermore, you will be participating in developing state-of-the-art data processing pipeline and leveraging data science algorithms & machine learning models to parse massive data and logs in ...

Furthermore, you will be participating in developing state-of-the-art data processing pipeline and leveraging data science algorithms & machine learning models to parse massive data and logs in ...

Furthermore, you will be participating in developing state-of-the-art data processing pipeline and leveraging data science algorithms & machine learning models to parse massive data and logs in ...

Furthermore, you will be participating in developing state-of-the-art data processing pipeline and leveraging data science algorithms & machine learning models to parse massive data and logs in ...

All of this is empowered by the latest machine learning models. Join our team, and you will have the opportunity to build features that delight millions of users every day! Description You will be ...

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Machine Learning information

See Santa Rosa, CA salary details

$27.9K

$46.6K

$96.2K

How much do machine learning jobs pay per year?

As of Jun 1, 2026, the average yearly pay for machine learning in Santa Rosa, CA is $46,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $50,300.00 per year, depending on experience, location, and employer.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.
What are the most commonly searched types of Machine Learning jobs in Santa Rosa, CA? The most popular types of Machine Learning jobs in Santa Rosa, CA are:
What job categories do people searching Machine Learning jobs in Santa Rosa, CA look for? The top searched job categories for Machine Learning jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Machine Learning jobs? Cities near Santa Rosa, CA with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Santa Rosa, CA as of May 2026, with employment types broken down into 44% Full Time, 54% Part Time, 1% Contract, and 1% Nights. Highlights an 97% Physical, 2% Hybrid, and 1% Remote job distribution, with an average salary of $46,558 per year, or $22.4 per hour.
Camera Software- Sr. Machine Learning Research Engineer

Camera Software- Sr. Machine Learning Research Engineer

Apple

Bodega Bay, CA

$147.40K - $272.10K/yr

Full-time

Medical, Dental, Retirement

Posted 9 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

iPhone is the most popular camera in the world. The flawless integration of software and hardware has led to features like Memories and Portrait Mode which deliver experiences that are magical. The Camera & Photos team focuses on user-experience by using computer vision and image processing through machine learning. Our team works hard on products that ship to millions of people. We are looking for people who want to do the same.
The Computational Imaging team develops the camera pipelines and innovative algorithms for Apple’s mobile devices, including the iPhone and iPad. Combining innovative algorithms with optimized implementations, our team delivers the quality and features which help to re-define mobile photography. In this role, you will work hands-on with diffusion models, transformers and next-gen generative techniques, while collaborating closely with product, design and research teams to bring your ideas to life. If you are passionate about inventing and developing new imaging algorithms to improve the photography experience, we would like to hear from you.
Description
Design novel generative model architectures and training strategies for vision and computational photography applications.
Fine-tune and adapt pre-trained models for specific use cases and domains.
Build scalable and robust data pipelines for large-scale image and video datasets.
Develop comprehensive evaluation frameworks including implementing quantitative metrics and qualitative analysis methodologies, conducting ablation studies and hyper-parameter optimization, for model performance assessment.
Conduct deep technical analysis and identify research directions.
Participate in code reviews, technical discussions and knowledge sharing sessions.
Communicate complex technical concepts through clear documentation and presentations.
Stay current with latest research in generative AI, computer vision and computational photography. Translate findings into practical applications.
Preferred Qualifications
Minimum PhD + 2 years or MS + 5 years industry experience.
Expertise in image processing, computer vision and deep learning.
Strong experience with deep learning frameworks (e.g. PyTorch) and modern ML toolchains.
Proven experience with training and developing generative models.
Hands-on with multi-GPU/multi-node/distributed training and large-scale experimentation.
Curiosity-driven with a track-record of identifying and solving complex technical problems.
Excellent communication skills and an ability to bridge gap between technical depth and product impact.
Collaborative mindset with openness to feedback and continuous learning.
Publications at major conferences (CVPR, ICCV, NeurIPS, ICML) or open-source contributions would be a plus.
Minimum Qualifications
PhD or MS + 3 years industry experience.
Solid foundation in image processing, computer vision and deep learning fundamentals.
Academic or project experience with image/video generation models.
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 $147,400 and $272,100, 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.

What Apple employees say

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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