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Edge Ai Machine Learning Jobs in Rohnert Park, CA

Nexwave

Machine Learning/AI Engineer Lead

Sonoma, CA · On-site

$75/hr

Machine Learning/AI Engineer (Lead) Location :: Alpharetta GA (OR) Oakland Bay area , CA (weekly one day in office) Exp Req : 15-20 Yrs Max Visa : USC/GC/GC EAD Rate : $75/Hr on C2C/1099 Role Summary ...

New

Nexwave

Machine Learning/AI Engineer Lead

Santa Rosa, CA · On-site

$75/hr

Machine Learning/AI Engineer (Lead) Location :: Alpharetta GA (OR) Oakland Bay area , CA (weekly one day in office) Exp Req : 15-20 Yrs Max Visa : USC/GC/GC EAD Rate : $75/Hr on C2C/1099 Role Summary ...

New

Apple

Machine Learning FEA Engineer

Bodega Bay, CA

$142K - $263K/yr

... edge products M.S. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline along with 3+ years of relevant experience Pay & Benefits At Apple, base pay is one part of ...

Apple

Machine Learning FEA Engineer

Bodega Bay, CA

$142K - $263K/yr

... edge products M.S. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline along with 3+ years of relevant experience Pay & Benefits At Apple, base pay is one part of ...

Ema

Software Engineer, Machine Learning

Bodega Bay, CA · On-site

$135K - $200K/yr

About Ema Ema is building the world's leading Agentic AI platform to transform enterprise ... You love utilizing machine learning techniques to push the boundaries of what is possible within ...

DataAnnotation

SDLC Engineer - AI Trainer

Santa Rosa, CA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

QA Engineer - AI Trainer

Santa Rosa, CA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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All JobsEdge Ai Machine Learning JobsEdge Ai Machine Learning Jobs in Rohnert Park, CA

Edge Ai Machine Learning information

See Rohnert Park, CA salary details

$28.2K

$47.2K

$97.5K

How much do edge ai machine learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for edge ai machine learning in Rohnert Park, CA is $47,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,000.00 and $51,000.00 per year, depending on experience, location, and employer.

What is an Edge AI Machine Learning job?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

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

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

What cities near Rohnert Park, CA are hiring for Edge Ai Machine Learning jobs? Cities near Rohnert Park, CA with the most Edge Ai Machine Learning job openings:
Edge Ai Machine Learning jobs near you
Staff Machine Learning Engineer - Deployment

Staff Machine Learning Engineer - Deployment

Kodiak

Bodega Bay, CA • On-site

$200K - $265K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.

Kodiak is seeking Staff Machine Learning Engineers, focusing on model deployment to help build the intelligence that powers the Kodiak Driver. Our ML teams work across perception, prediction, planning, and AI infrastructure to turn real-world driving data into models that enable safe and scalable autonomous trucking.

In this role, you will design and deploy machine learning systems that improve our vehicles' ability to understand the world, predict the behavior of other road users, and make safe driving decisions. You will collaborate closely with robotics, autonomy, and infrastructure teams to continuously improve the performance of our autonomy stack using large-scale data from our growing fleet.

This is a high-impact opportunity to work on cutting-edge AI systems operating in the real world, where every mile driven improves our models and brings autonomous trucking closer to global deployment.
In this role, you will:
  • Help design, train, with a focus towards deploying onboard machine learning models that improve the performance/latency of the Kodiak autonomy stack which includes quantization, pruning, converting to ONNX/TensorRT, custom GPU kernels and profiling.
  • Help identify and achieve parity between onboard and deployed offboard models using validation on HIL
  • Collaborate with cross-functional teams including perception, planning, simulation, and autonomy infrastructure to integrate ML models into production systems.
  • Analyze real-world driving logs to identify edge cases and improve model robustness and safety.
  • Use profiling tooling to additionally help improve the train time for models by identifying and removing bottlenecks.
  • Contribute to the development of scalable AI infrastructure that supports continuous learning and deployment across Kodiak's fleet.
What you'll bring:
  • MS or PhD in Computer Science, Robotics, Machine Learning, or a related technical field, or equivalent practical experience.
  • 6+ years experience deploying machine learning or deep learning systems in production environments.
  • Proficiency in Python, C++ and modern ML frameworks such as PyTorch or TensorFlow.
  • Experience working with large-scale distributed training systems.
  • Solid understanding of optimization, and machine learning fundamentals.
  • Strong software engineering fundamentals including testing, debugging, and system design.
  • Ability to work collaboratively across teams to solve complex autonomy and robotics challenges.

What we offer:

  • Competitive compensation package including equity and annual bonuses
  • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits)
  • MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
  • Flexible PTO, 10 paid holidays, and generous parental leave policies
  • Our office is centrally located in Mountain View, CA
  • Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
  • Long Term Disability, Short Term Disability, Life Insurance
  • Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation)
  • Fidelity 401(k)
  • Commuter, FSA, Dependent Care FSA, HSA
  • Various incentive programs (referral bonuses, patent bonuses, etc.)

The pay range listed below reflects the base salary in our SF/Silicon Valley location, across several internal levels. Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview. Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package

California Pay Range
$200,000—$265,000 USD
At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law.
In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate's residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. If applicable, Kodiak may provide visa sponsorship for eligible candidates.
We use a third-party AI tool (Endorsed) to assist in the initial screening of applications. As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications. Final hiring decisions are made by our human recruitment team, and no automated system makes the ultimate decision regarding hiring. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. We began using Endorsed on January 1, 2026. You can review the independent bias audit report covering our use of Endorsed [here](https://endorsed.com/local-law-144). By submitting your application, you acknowledge that your application may be processed by AI systems as part of the screening and selection process. If you have any questions or would like to request a separate review of your application, please contact careers@kodiak.ai with "Separate Review Request" in the email subject line.