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Remote Audio Signal Processing Machine Learning Jobs in California

... Signal Processor) pipeline, covering standard metrics and machine learning-specific criteria ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Remote Commitment: 5-10 hours per week (flexible) Duration: 3-6 months (with potential extension ... Document experiments, processes, and results * Ensure ethical and responsible AI practices ...

Senior Machine Learning Scientist

Brisbane, CA · On-site +1

$110K - $150K/yr

... molecular signals from blood. They will also work with computational biologists, molecular ... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ...

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199K - $283K/yr

... molecular signals from blood. They will also work with computational biologists, molecular ... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ...

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

... process of doing business and simplify people's lives. With intelligent agreement management ... Employee divides their time between in-office and remote work. Access to an office location is ...

We have hybrid offices in London, New York, and Singapore; this role is remote based in the San ... processes) is encouraged. * A track record of scoping and delivering projects in a customer facing ...

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Remote Audio Signal Processing Machine Learning information

What is the difference between Remote Audio Signal Processing Machine Learning vs Remote Audio Engineering?

AspectRemote Audio Signal Processing Machine LearningRemote Audio Engineering
Required CredentialsKnowledge of machine learning, signal processing, programming (Python, MATLAB)Audio engineering certifications, audio production experience
Work EnvironmentResearch labs, tech companies, remote collaborationRecording studios, broadcast companies, remote or onsite
Industry UsageDeveloping algorithms for audio enhancement, noise reduction, speech recognitionMixing, mastering, live sound, audio content creation

Remote Audio Signal Processing Machine Learning focuses on developing algorithms using machine learning techniques to improve audio quality and analysis. In contrast, Remote Audio Engineering involves practical audio production, mixing, and recording tasks. Both roles require audio knowledge, but the former emphasizes programming and data science, while the latter centers on sound quality and production skills.

What are popular job titles related to Remote Audio Signal Processing Machine Learning jobs in California? For Remote Audio Signal Processing Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Audio Signal Processing Machine Learning jobs in California look for? The top searched job categories for Remote Audio Signal Processing Machine Learning jobs in California are:
What cities in California are hiring for Remote Audio Signal Processing Machine Learning jobs? Cities in California with the most Remote Audio Signal Processing Machine Learning job openings:
Software Engineer, Sensor/Imaging

Software Engineer, Sensor/Imaging

Waymo

Mountain View, CA • On-site, Remote

$204K - $259K/yr

Other

Posted 5 days ago


Job description

Software Engineer, Sensor/Imaging

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.

This role follows a hybrid work schedule, and you will report to the Tech Lead Manager of the Sensor Software Team.

You will:

  • Report into Sensor organization
  • Collaborate closely with multidisciplinary teams—including Sensor, Signal Processing, Perception, and System Engineering—to drive hardware/software co-optimization, providing concrete data and analysis across guide design trade-offs and component selection
  • Automate processing, analysis, reporting, and visualization of image data collected from lab setups and self-driving vehicles to enable fast, data-driven decisions on image quality tuning and system performance
  • Understand and evaluate internal and external quantitative image quality metrics, and apply them to guide improvements in sensor and ISP for downstream machine learning tasks
  • Design comprehensive Image Quality (IQ) test plans for new camera hardware and ISP (Image Signal Processor) pipeline, covering standard metrics and machine learning-specific criteria
  • Investigate and debug complex image quality issues, artifacts, and data anomalies across the entire imaging pipeline, from sensor physics through to machine learning inference

You have:

  • BS in Computer Science, Computer Engineering, Electrical Engineering, Math, or Physics (MS or PhD preferred for Math and Physics majors)
  • 5 years experience in production code software development in a complex, multiple team environment
  • Expertise in C++ and familiarity with Python
  • Familiarity with image signal processing SW and HW

We prefer:

  • Familiarity with the fundamentals of CMOS imaging sensors
  • Experience with image quality evaluation for both human visual perception and machine learning performance
  • Hands-on experience with computational imaging or computer vision
  • Familiarity with SQL or NoSQL databases for querying and analyzing large datasets of test results and vehicle logs
  • Experience with sensor testing and calibration procedures used in the sensor module manufacturing process
  • Familiarity with self-driving technology

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range $204,000—$259,000 USD