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Work Study Audio Machine Learning Jobs (NOW HIRING)

You'll work closely with researchers, engineers, product leaders, and executives to bring ... Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.) * Experience with ...

You'll work closely with researchers, engineers, product leaders, and executives to bring ... Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.) * Experience with ...

The SEARK Work - Study Student may answer phone calls and direct inquiries, type and file documents, operate fax or copier machines, and direct incoming and outgoing mail and packages. May greet ...

Company Description PatternAI is an automated machine learning platform that reveals critical ... Advanced degree in computer science, mathematics, statistics or related area of study strongly ...

Company Description PatternAI is an automated machine learning platform that reveals critical ... Advanced degree in computer science, mathematics, statistics or related area of study strongly ...

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or ... The work you do here will have a noticeable and direct impact on the development of the company.

Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or ... The work you do here will have a noticeable and direct impact on the development of the company.

Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or ... The work you do here will have a noticeable and direct impact on the development of the company.

This work runs on deployed robots, not demos. About the role As a Machine Learning Intern at Droyd ... Are current juniors or seniors (or equivalent) studying computer science, machine learning, AI, or ...

Data Engineering Intern

Niles, IL · Hybrid

$23 - $43/hr

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... conduct audio machine learning experiments, and you will also participate in the creation and ...

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or ... The work you do here will have a noticeable and direct impact on the development of the company.

Data Engineering Intern

Niles, IL · On-site

$23 - $43/hr

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... conduct audio machine learning experiments, and you will also participate in the creation and ...

Showing results 41-60

Work Study Audio Machine Learning information

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$29.5K

$84.5K

$171.5K

How much do work study audio machine learning jobs pay per year?

As of Sep 9, 2026, the average yearly pay for work study audio machine learning in the United States is $84,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $113,000.00 per year, depending on experience, location, and employer.

What cities are hiring for Work Study Audio Machine Learning jobs?

Cities with the most Work Study Audio Machine Learning job openings:

What are the most commonly searched types of Audio Machine Learning jobs?

The most popular types of Audio Machine Learning jobs are:

What states have the most Work Study Audio Machine Learning jobs?

States with the most job openings for Work Study Audio Machine Learning jobs include:

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Infographic showing various Work Study Audio Machine Learning job openings in the United States as of June 2026, with employment types broken down into 2% Full Time, and 98% Part Time. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $84,456 per year, or $40.6 per hour.

Machine Learning Engineer

Somerville, MA • On-site

Modulate
Software Development • 1 - 10 employees

$150 - $200/hr

Other

Medical, Dental, Vision, PTO

Posted 6 days ago


Job description

About the Company

Modulate is the leader in conversational voice intelligence. We enable enterprises to deeply understand how people communicate and take timely action based on those insights. Our products help detect harm, prevent fraud, and build safer, more trusted online and real-world voice environments. We are building a Conversation Intelligence Platform — APIs, workflows, and applications that bring voice understanding to customers at enterprise scale.

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting‑edge machine learning models that power our products. You'll work closely with researchers, engineers, product leaders, and executives to bring innovative ML solutions from concept to production.

Your Impact
  • Develop and deploy high-quality machine learning models that power Modulate's products

  • Advance our capabilities in conversational voice intelligence through applied research and engineering

  • Help translate business needs into scalable ML solutions

  • Improve model performance, reliability, and efficiency across our platform

  • Contribute to a collaborative, high‑performing engineering culture

What You Will Do
  • Design, train, evaluate, and deploy machine learning models for production applications

  • Collaborate with engineers, researchers, product managers, and company leadership to define and execute on ML initiatives

  • Conduct experiments to improve model quality, accuracy, robustness, and scalability

  • Partner with platform and infrastructure teams to operationalize and monitor ML systems in production

  • Analyze model performance and identify opportunities for improvement

  • Communicate technical findings, tradeoffs, and recommendations to both technical and non‑technical stakeholders

  • Contribute to technical strategy and help shape the future direction of Modulate's ML systems

  • Review code, share knowledge, and mentor teammates as needed

  • Stay current on advances in machine learning and identify opportunities to apply new techniques to our products

What We Are Looking For
  • Experience conducting machine learning research and shipping models to production

  • Strong experience building and deploying production‑grade machine learning systems

  • Strong experience with Python and PyTorch

  • Experience designing experiments and evaluating model performance

  • Ability to work across research and engineering disciplines to deliver business impact

  • Strong communication skills and the ability to explain complex technical concepts clearly

  • Experience working collaboratively in cross‑functional environments

Nice to Have
  • Experience communicating research externally through papers, conferences, or open‑source contributions

  • Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.)

  • Experience with cloud infrastructure, especially AWS

  • Experience building and maintaining large‑scale ML infrastructure or MLOps systems

  • Experience in fast‑paced startup environments

Benefits
  • Competitive salary + equity

  • Full health, dental, and vision coverage

  • Flexible PTO with a strong culture of taking it

  • Weekly team lunches with dietary accommodations

  • Hybrid work with core in‑office days and flexible remote options

  • Leadership and technical learning sessions

  • Career development and continued growth support

  • Up to 8 weeks work‑from‑anywhere policy

  • A deeply inclusive, human‑centered culture

Pay Transparency

Modulate believes in transparency as a cornerstone of equity and trust. Compensation for this role is based on seniority, skills, and experience.

Salary: $170,000–$200,000
Equity: Offered

Additional benefits include HSA, FSA, 15 company holidays, and professional development resources.

Candidates may be located anywhere in the U.S., with preference for proximity to major tech hubs such as Boston, San Francisco, Seattle, New York, or Austin.

About Modulate

Modulate is on a mission to make voice a force for good online. Our tools help communities thrive by proactively detecting toxic behavior, protecting user identity, and empowering safety teams. We're trusted by leaders in gaming and beyond—and we're growing fast.

We believe that great cultures don't just happen. That's why we've built a foundation of intentional systems: from bias‑reducing hiring practices to transparent pay to tools that help teams collaborate across communication styles. At Modulate, we treat people like people—and we're building technology that does the same.

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