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Remote Audio Signal Processing Machine Learning Jobs in Seattle, WA

Audio Lead (Games)

Seattle, WA · On-site +1

$125K - $165K/yr

For more information on how we process your personal information, please review the Privacy policy ... Currently for this role, we can hire remote candidates with legal residence in Arizona, California ...

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS ... Overall, 8-10 years of solid experience in the areas of data engineering / machine learning / data ...

Wireless Systems Engineer

Seattle, WA · On-site +1

$140K - $190K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Strong understanding of communication theory & signal processing-related algorithm design (such as ... Learning & Development Allowance Health & Wellness Stipend Sabbatical Program - Recharge and ...

Senior Software Engineer - Remote

Seattle, WA · Remote

$139K - $183K/yr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Showing results 41-60

Remote Audio Signal Processing Machine Learning information

See Seattle, WA salary details

$33.6K

$96.1K

$195.2K

How much do remote audio signal processing machine learning jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote audio signal processing machine learning in Seattle, WA is $96,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $128,600.00 per year, depending on experience, location, and employer.

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 Seattle, WA?

For Remote Audio Signal Processing Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Remote Audio Signal Processing Machine Learning jobs in Seattle, WA look for?

The top searched job categories for Remote Audio Signal Processing Machine Learning jobs in Seattle, WA are:

Infographic showing various Remote Audio Signal Processing Machine Learning job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $96,113 per year, or $46.2 per hour.

Principal Machine Learning System Engineer

Atlassian

Seattle, WA • On-site, Remote

Full-time

Posted 18 days ago


Job description

Overview:

Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.

Responsibilities:

As a Principal Machine Learning Systems Engineer on the Search Platform team, you set the technical direction for search infrastructure that powers Rovo, Jira, Confluence, and the broader Atlassian AI platform. You operate with broad organizational influence, driving outcomes across teams and functions without relying on positional authority.

Technical Vision & Cross-Team Leadership
Define and champion the multi-year technical roadmap for search serving, vector infrastructure, and agentic retrieval. Identify architectural inflection points — such as the evolution from keyword to semantic search, or the shift toward retrieval-for-agents — and build organizational consensus around the right path forward. You earn alignment through technical credibility, clear reasoning, and the ability to make complex tradeoffs legible to engineers, product managers, and senior leadership alike.

Leading Without Authority
Drive high-impact initiatives across teams that do not report to you. Influence peers, partner teams, and stakeholders by framing problems compellingly, co-authoring shared technical strategies, and creating forums — deep dives, design reviews, working groups — where the best ideas win on merit. Navigate ambiguity and competing priorities across the Search Platform, ML Platform, AI Gateway, and Rovo product teams to keep critical cross-functional programs on track.

Agentic Search & Retrieval Architecture
Own the technical strategy for retrieval systems that ground Rovo agents and AI workflows, including personalized indexes, multi-step retrieval pipelines, and RAG infrastructure at scale. Anticipate how agentic use cases will stress existing search architecture and proactively design for those requirements before they become blockers.

Platform Scalability & Operational Excellence
Set the standard for production ML serving, cost discipline, and reliability across the search stack. Drive FinOps-oriented decisions — such as vector cluster right-sizing and query embedding caching — that deliver material infrastructure savings without sacrificing SLO targets.

Engineering Craft & Mentorship
Raise the technical bar across the organization through code review, design feedback, and sponsoring the growth of senior engineers toward principal-level impact.

Compensation:

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

This role may also be eligible for benefits, bonuses, commissions, and equity.

Pay Ranges:

In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $209,700 - $273,775

Zone B: $188,730 - $246,398

Zone C: $174,051 - $227,233

Qualifications:

Benefits & Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.