11 Results for

Machine Learning Engineer Jobs in Santa Rosa, CA

Jobs

New!

Santa Rosa, California5 days ago

You'll own end-to-end performance: profiling training workloads on multi-GPU clusters, writing custom CUDA kernels and LibTorch C++ extensions for hot paths, and optimizing inference for embedding in production software where every millisecond matters. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries.

New!

Petaluma, CA4 days ago

We are a rapidly growing world-class team, constantly on the cutting edge of what’s possible in AI-driven robotics and automation, creating fast time-to-market solutions for the automotive, consumer electronics, healthcare and service industries. Cross-Functional Support: Shadow senior engineers during site visits and collaborative meetings with Manufacturing and R&D to understand the product lifecycle and common field challenges.

Santa Rosa, California30+ days ago

$100,000–$115,000 Per Year

Lead the development and execution of rigorous, science-based testing strategies, drafting comprehensive test plans (e.g., experimental design, statistical analyses) and detailed reports that ensure design robustness, regulatory compliance, and ultimately improved patient outcomes. Working cross-functionally with Quality, Regulatory, Manufacturing, Clinical, and physician partners, this role applies engineering expertise, analytical rigor, and sound judgment to solve complex technical challenges and advance Endologix’s innovation and business objectives.

Santa Rosa, California30+ days ago

$145,000–$167,500 Per Year

11+ years of relevant experience with a Bachelor's degree, or 9+ years of relevant experience with a Master's degree, or 6+ years of relevant experience with a PhD in medical device manufacturing, development, testing, test plans, test reports, design control regulation and experience with catheter and stents. The Principal R&D Engineer is responsible for providing subject matter expertise and engineering leadership in the development of Aortic and Peripheral Vascular technologies including enhanced and new stent graft and catheter-based delivery systems to ensure achievement of Endologix goals and objectives.

Santa Rosa, California30+ days ago

$100,000–$115,000 Per Year

Santa Rosa, California30+ days ago

$125,000–$140,000 Per Year

Santa Rosa, California30+ days ago

Nicasio, CA30+ days ago

$170,500–$228,600 Per Year

As a Data Engineer, you will focus on developing robust pipelines for processing complex media datasets, enabling AI/ML researchers to build transformative solutions for speech processing, style transfer, and source separation. The Skywalker Sound Development Group is seeking an experienced Data Engineer to specialize in the creation, management, and optimization of data pipelines to support cutting-edge AI/ML research.

Santa Rosa, California30+ days ago

$114,000–$191,000 Per Year

Wireless devices continue to extend their reach into our lives; expanding in capability (6G high speed networks) and their physical network (Non-Terrestrial Networks). In this ME R&D Role, you’ll leverage and expand your engineering skills to quickly design and prototype new components for our solutions to characterize NTN UE, 5G, Automotive mmWave devices in our Over The Air test chambers.

Santa Rosa, California30+ days ago

Design and implement hardware abstraction layers (HAL), board support packages (BSP), and low-level device drivers for FPGAs, ADCs, DACs, RF components, and custom ASICs. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries.

Novato, CA30+ days ago

Full-time

This individual will help develop new computational methods, analyze complex imaging datasets, and work closely with experimental and computational researchers to generate insights from large-scale biological data. Prior experience in biological or biomedical imaging is helpful but not required for candidates with strong technical expertise and a genuine interest in applying frontier AI methods to major biological questions.

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