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Freelance Audio Machine Learning Jobs in Massachusetts

DSP Engineer - Audio Tech

Framingham, MA · On-site

$147K - $171K/yr

Exposure to applied machine learning techniques for audio systems , such as ML-assisted noise reduction, speech enhancement, or audio classification. * Familiarity with Bluetooth audio systems and ...

DSP Engineer - Audio Tech

Framingham, MA

$147K - $171K/yr

Exposure to applied machine learning techniques for audio systems , such as ML-assisted noise reduction, speech enhancement, or audio classification. * Familiarity with Bluetooth audio systems and ...

Senior Applied Data Scientist

Boston, MA · On-site +1

$150K - $180K/yr

... audio description, dubbing, subtitling, and translation. This team makes major contributions in many technical domains, including software engineering, systems engineering, machine learning, natural ...

Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... time audio understanding. • Develop and optimize ML models focused on audio data to extract ...

... novel machine learning algorithms to advance the state of the art in speech and audio processing. Key job responsibilities Conduct applied research project(s) effectively and know when to ask for ...

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Freelance Audio Machine Learning information

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

AspectFreelance Audio Machine LearningFreelance Audio Signal Processing
Required SkillsMachine learning, programming, audio analysisDigital signal processing, audio engineering, software tools
Work EnvironmentData analysis, model development, algorithm designAudio editing, filtering, signal enhancement
Common EmployersTech companies, startups, research labsAudio production houses, broadcasting, music industry
CertificationsMachine learning, data science, programming certificationsAudio engineering, DSP certifications

Freelance Audio Machine Learning focuses on developing algorithms and models to analyze and interpret audio data using machine learning techniques. In contrast, Freelance Audio Signal Processing involves applying traditional digital signal processing methods to enhance or modify audio signals. Both roles require technical expertise but differ in their core methods and applications.

What are popular job titles related to Freelance Audio Machine Learning jobs in Massachusetts? For Freelance Audio Machine Learning jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Freelance Audio Machine Learning jobs in Massachusetts look for? The top searched job categories for Freelance Audio Machine Learning jobs in Massachusetts are:
What cities in Massachusetts are hiring for Freelance Audio Machine Learning jobs? Cities in Massachusetts with the most Freelance Audio Machine Learning job openings:

Machine Learning Applied Researcher - Speech, Vision and Audio

Apple

Cambridge, MA • On-site

Full-time

Re-posted 21 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple's customers every single day.
Description
We are looking for a talented and experienced applied ML researcher who can both research new capabilities and develop frontier models using cutting-edge methods. In this role, you will take on high-risk, high-reward challenges - researching, designing, and improving state-of-the-art deep learning models trained on unique data, implementing novel machine learning algorithms, and developing solutions to problems that don't have obvious answers. Your scope will encompass various ML subfields and modalities, combining ideas from different fields to solve unique challenges and deliver solutions adopted broadly across teams.
Minimum Qualifications
BS in Computer Science, Electrical Engineering, or a related field - or equivalent practical experience.
Experience in academic or industry research.
Experience working with Pytorch.
Preferred Qualifications
MS or PhD in Computer Science, Electrical Engineering, or a related field.
Strong foundation in deep learning theory and hands-on experience training large-scale models.
Deep knowledge in one or more of: self-supervised learning, synthetic data generation, large language model training, or automatic speech recognition.
Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion).
Strong analytical and problem-solving skills; ability to translate research ideas into production-quality code.
Resilience and persistence - comfort with experimentation cycles where many attempts fail before one succeeds.
Publication record at top-tier ML venues (NeurIPS, ICML, ICLR, Interspeech, ICASSP, etc.).
Multidisciplinary background spanning fields such as neuroscience, physics, signal processing, or mathematics. Experience collaborating with distributed teams across time zones.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976