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

Insurance AI Architect

Santa Rosa, CA · On-site

$69 - $90.75/hr

Predictive and prescriptive Machine Learning models * Computer Vision * Natural Language Processing (NLP) and Conversational AI * Intelligent Document Processing (IDP / iOCR) * Agentic AI systems and ...

Insurance AI Architect

Sonoma, CA · On-site

$70.50 - $93/hr

Predictive and prescriptive Machine Learning models * Computer Vision * Natural Language Processing (NLP) and Conversational AI * Intelligent Document Processing (IDP / iOCR) * Agentic AI systems and ...

The Camera & Photos team focuses on user-experience by applying computer vision and image processing through machine learning. We're looking for someone with a real passion for photography, and gets ...

The Camera & Photos team focuses on user-experience by applying computer vision and image processing through machine learning. We're looking for someone with a real passion for photography, and gets ...

AI ENGINEER

Windsor, CA · On-site

$120 - $180/hr

Design, build, and deploy scalable machine learning solutions using Gemini Enterprise and Google Cloud services.Develop and maintain MLOps pipelines for model training, deployment, monitoring, and ...

Posted today

Senior Director, AI

Bodega Bay, CA · On-site +1

$257K - $402K/yr

Lead the selection and integration of advanced machine learning models, algorithms, and deep learning techniques relevant to embodied AI (e.g., perception, manipulation, natural language ...

Software Engineer, DevOps

Bodega Bay, CA · On-site

$135K - $225K/yr

Experience with event-driven data and machine learning infrastructure, including streaming pipelines, database systems, model training * Experience with air-gapped cloud environments or private ...

Showing results 41-60

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 Sep 4, 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?

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 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 key skills and qualifications needed to thrive in a machine learning position?

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.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

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 August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $46,558 per year, or $22.4 per hour.

Sr. Autonomous Manufacturing Systems Engineer

Blue Origin

Bodega Bay, CA • On-site

$124K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Key responsibilities

  • Develop and implement strategies for seamless deployment of machine learning models into automation products.

  • Automate the end-to-end machine learning pipeline, including data collection, preprocessing, model training, deployment, and monitoring.

  • Build, maintain, and monitor infrastructure for data processing, model training, inference, and system performance.


Blue Origin rating

8.7

Company rating: 8.7 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

16th of 72 rated aerospace companies


Job description

Application close date:

Applications will be accepted on an ongoing basis until the requisition is closed.

At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!

This role is part of Blue Origin Operations, which is comprised of Integrated Supply Chain, Test Operations, Safety, Quality, and Mission Assurance. This includes Manufacturing and Supply Chain support across all Blue Origin facilities.

We are a world leading Manufacturing Automation organization that is revolutionizing manufacturing at Blue Origin. By blending proven and cutting edge manufacturing technologies with a relentless drive to develop, deploy and support high quality systems, we are enabling Blue Origin to realize our vision of millions of people living and working in space for the benefit of Earth.

Our team is looking for outstanding, highly motivated Software Engineers (AI/ML Ops) to join our Automation Team. This role requires an individual with a deep understanding of software development as well as automated manufacturing processes and systems, including industrial automation hardware and software. AI will unlock the true potential of manufacturing automation, you will join our team of automation development engineers, working directly with them to embed value-add AI in systems we create.

We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!

Responsibilities include but are not limited to:
  • Work directly with the automation engineering team to develop and implement strategies for seamless deployment of machine learning models into our automation products.

  • Complete the operational aspects of AI and machine learning projects, ensuring robust and scalable deployment.

  • Build and maintain the infrastructure required for efficient data processing, model training, and inference at scale.

  • Set up and manage monitoring systems to ensure the performance, reliability, and scalability of AI/ML models in production.

  • Automate the end-to-end machine learning pipeline, including data collection, preprocessing, model training, deployment, and monitoring.

  • Work closely with data scientists, data engineers, and software engineers to streamline the workflow from development to production.

  • Ensure that AI/ML systems comply with security standards and best practices, addressing data privacy and protection concerns.

  • Conduct performance tuning, troubleshooting, and optimization of AI and ML models to improve efficiency and reduce latency.

  • Evaluate, select, and integrate appropriate tools and frameworks for model training, deployment, and monitoring (e.g., MLflow, Kubeflow, TensorFlow Extended).

  • Maintain comprehensive documentation of processes, configurations, and performance metrics of deployed AI/ML models.

  • Foster a culture of continual improvement by staying updated with the latest advancements in AI/ML Ops and implementing best practices.

  • Develop and implement incident response plans to address and mitigate issues with deployed models promptly.

  • Plan and implement strategies for scaling AI/ML models to handle increased demand and larger datasets.

  • Proactively propose new solutions and enhancements leveraging AI/ML to address business challenges and improve operational efficiency.

  • Work with cross-functional teams to incorporate AI/ML insights into broader business strategies and processes.

Preferred Qualifications:
  • Bachelor's or higher in Computer Science, Software Engineering, Mechanical Engineering or a related field.

  • 8+ years of professional software development experience, with a significant focus on real world machine learning deployments using vision and/or time-series data.

  • Extensive experience with AI and machine learning tools and frameworks, such as TensorFlow, PyTorch, or similar.

  • Familiarity with manufacturing automation, including robotics, PLC's, automated NDT, and machine vision.

  • Experience with AI edge deployments and integration into OT devices (e.g. Simatic NPU).

  • Experience with serverless computing frameworks and technologies.

  • Familiarity with software development in agile and scrum environments.

  • Experience with database management systems, both SQL and NoSQL (e.g., PostgreSQL, MongoDB).

  • Strong analytical and problem-solving skills with attention to detail.

  • Excellent written and verbal communication skills for clear documentation and cross-team collaboration.

  • Ability to innovate and adapt to rapidly changing technologies and environment

  • Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusion.

  • Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.


Base Pay Range for:

CA applicants is $197,529.00 - $276,539.55

Other site ranges may differ


Culture Statement

Don't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.


Export Control Regulations

Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S.as a refugee or granted asylum.


Background Check

  • Required for all positions: Blue's Standard Background Check
  • Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation
  • Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing, vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.
  • Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical

Benefits

  • Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.
  • Stock Options for all regular employees (working at least 20 hours/week)
  • Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.
  • Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.

Equal Employment Opportunity

Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on "Know Your Rights," please see here.


Affirmative Action and Disability Accommodation

Applicants wishing to receive information on Blue Origin's Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us atEEOCompliance@blueorigin.com. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.



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About Blue Origin

Sourced by ZipRecruiter

Blue Origin is a private aerospace manufacturing and suborbital spaceflight services company based in Kent, Washington, USA. Established in 2000 by Amazon founder Jeff Bezos, the company operates in the cutting-edge aerospace industry aiming to build a future where millions of people can live and work in space. They develop a variety of technologies, with a focus on reusable rocket systems which significantly reduce the cost of space travel. Blue Origin's core mission is to make this vision come to life by incrementally building on its successes with an ultimate vision of dramatic cost reduction and increased reliance on reusable spacecraft.

Industry

Space research administration

Company size

1,001 - 5,000 Employees

Headquarters location

Kent, WA, US

Year founded

2000