Listen Labs jobs

Research Scientist Intern, Audio Quality with AI (PhD) Redmond, WA The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR, VR and MR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interfaces, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR, VR and MR that are so compelling that they become an integral part of our lives. In particular, the Meta Reality Labs Research audio team is focused on two goals; creating virtual sounds that are perceptually indistinguishable from reality, and redefining human hearing. See more about our work here: Inside Facebook Reality Labs Research: The future of audio and Filter Out the Noise With Conversation Focus. These two initiatives will allow us to connect people by allowing them to feel together despite being physically apart, and allow them to converse in even the most difficult listening environments. Meta Reality Labs Research is looking for an intern who is passionate about speech perception and audio quality to investigate why processed speech sometimes

Senior Research Scientist - Music London We are seeking a Senior Research Scientist to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles: Partnerships with record labels, distributors, and music publishers: We'll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later. Choice in participation: We recognize there's a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music. Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions. Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections. For more information, see this press release: https://newsroom.spotify.com/2025-10-16/artist-first-ai-music-spotify-collaboration/ We are seeking a Senior Research Scientist to join our Artist-First AI Music

Research Scientist - Music New York, NY We are seeking a Research Scientist to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles: Partnerships with record labels, distributors, and music publishers: We'll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later. Choice in participation: We recognize there's a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music. Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions. Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections. For more information, see this press release: https://newsroom.spotify.com/2025-10-16/artist-first-ai-music-spotify-collaboration/ We are seeking a Research Scientist to join our Artist-First AI Music lab.

Audiologist - Band 5 - Central London London

Audio Inference Engineer, Model Efficiency New York | Remote | San Francisco | Toronto | Montreal Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? Our team is a fast-growing group of committed researchers and engineers. The mission of the team is to build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques. As an engineer on this team, you will work on advancing core audio model serving metrics, including latency, throughput, and quality by diving deep into our systems, identifying bottlenecks, and delivering creative solutions for audio processing and streaming workloads. You'll collaborate closely with both the training and serving infrastructure

Senior Machine Learning Engineer, Personalization, Music Understanding New York, NY The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. You'll join a team working at the intersection of machine learning, music understanding, and user experience. We focus on generating music sessions powering experiences like systems that power conversational playlist generation to give users more adaptive and intuitive control over what they listen to. This team collaborates closely with product, design, user research, and data science to build personalized, high-impact features used by hundreds of millions of listeners worldwide. The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. You'll join a team working at the intersection of machine learning, music understanding, and user experience. We focus on generating music sessions powering experiences like systems that power conversational playlist generation to give users more adaptive and intuitive control over what they listen to. This

Community Engagement Manager US Remote | Remote ABOUT THE ROLE: We're hiring a community engagement manager to serve as a steward of the global NetBox ecosystem-sitting at the intersection of infrastructure expertise, systems thinking, and community growth. You'll act as the connective tissue between a broad community of practitioners, technology leaders, customers, and partners, and the NetBox Labs team. This role is not about being the primary technical voice, but about enabling the right voices-across engineering, product, and the community itself-to engage authentically and at scale. We're seeking someone who can design and operationalize how we listen to, support, and grow alongside this ecosystem. You'll identify opportunities to engage across the channels where our community is most active, surface meaningful trends and insights, and elevate the people and organizations shaping how NetBox is used in the real world. This role has outsized impact on how NetBox Labs shows up-strengthening a vibrant, interconnected ecosystem while building a durable, mutually valuable relationship between the community and the business. IN THIS ROLE YOU, WILL: - Cultivate, grow, and support NetBox's global community of practitioners, executives, contributors, and partners by identifying opportunities for NetBox Labs to engage daily across digital platforms including LinkedIn, Reddit, GitHub, Slack, Hacker News, industry Discords or other forums. - Proactively monitor community conversations for technical questions and trends and collaborate with internal resources to get them answering or escalate product insights internally. - Build and launch the NetBox Heroes advocate program from the ground up. Identify, onboard, and empower

Research Scientist Intern, Multimodal AI (PhD) Location not specified The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR, VR and MR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interfaces, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR, VR and MR that are so compelling that they become an integral part of our lives. In particular, the Meta Reality Labs Research audio team is focused on two goals; creating virtual sounds that are perceptually indistinguishable from reality, and redefining human hearing. See more about our work here: Inside Facebook Reality Labs Research: The future of audio and Filter Out the Noise With Conversation Focus. These two initiatives will allow us to connect people by allowing them to feel together despite being physically apart, and allow them to converse in even the most difficult listening environments. Meta Reality Labs Research is looking for experienced interns who are passionate about ground breaking research in audio signal processing, machine learning and audio visual

Audio AI Engineer Singapore (SGP) posted:

Director, Product Management New York, NY; San Mateo, CA Category-defining tech. Career-defining work. Lots of tech companies disrupt. But, many fail when they try to scale. We're different. CockroachDB makes it easier for companies to build and scale apps. This is how and why we're helping some of the most innovative companies on the planet. We tackle problems head-on and focus on solutions that create lasting impact. Because when our customers win, we all win. The Role The Director of Product Management at Cockroach Labs is a senior product leader who owns end-to-end user journeys across Cockroach Labs' Products. This is a player-coach role: hands-on enough to set the standard for great PM craft, and senior enough to build and develop a high-performing team of Product Managers. This leader brings deep customer obsession, strategic clarity, and a relentless drive to improve user outcomes at every stage of the developer lifecycle - from onboarding and activation through scale, observability, and governance. They operate with an AI-first mindset, using intelligence as a force multiplier for both the product they build and the craft of product management itself. We seek someone who leads with evidence, listens with empathy, and creates the kind of clarity that lets teams move fast with purpose. What You'll Own - Own the product strategy and portfolio of investments across your journeys, making explicit tradeoffs across user segments, product surfaces, and time horizons, while balancing investments across different deployment options. - The picture of success for your area: a

Audiologist Yale Campus - Natalie Building Yale Campus - Natalie Building

Senior Voice Engineer 2 Locations posted: Posted 4 Days Ago

Machine Learning Researcher, Audio San Francisco MACHINE LEARNING RESEARCHER, AUDIO Location: San Francisco, CA or Remote (US) ABOUT BLAND At Bland.com, our mission is to empower enterprises to build AI phone agents at scale. Based in San Francisco, we are a fast-growing team reimagining how customers interact with businesses through voice. We have raised $65 million from leading Silicon Valley investors, including Emergence Capital, Scale Venture Partners, Y Combinator, and founders of Twilio, Affirm, and ElevenLabs. Voice is quickly becoming the primary interface between businesses and their customers. We are building the models and infrastructure that make those interactions feel natural, reliable, and genuinely human. THE ROLE: MACHINE LEARNING RESEARCHER, AUDIO As a Machine Learning Researcher at Bland, you'll be working on foundational research and development across the core components of our voice stack: speech-to-text, large language models, neural audio codecs, and text-to-speech. Your work will define how our agents understand, reason, and speak in real time at enterprise scale. This is not a narrow research role. You will take ideas from theory to large-scale training to production inference systems serving millions of calls per day. You will design new modeling approaches, validate them with rigorous experimentation, and collaborate with engineering teams to deploy them into real customer environments. WHAT YOU WILL DO Build and Scale Next-Generation TTS Systems - Design and train large scale text-to-speech models capable of expressive, controllable, human-sounding output. - Develop neural audio codec-based TTS architectures for efficient, high-fidelity generation. - Improve prosody modeling, question inflection,

Audiologist - Permanent - South East London London

Head of Engineering San Francisco, California, United States About David AI David AI is the first audio data research company. We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human-it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors. Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI. About our Engineering team At David AI, our engineers build the pipelines, platforms, and models that transform raw audio into high-signal data for leading AI labs and enterprises. We're a tight-knit team of product engineers, infrastructure specialists, and machine learning experts focused on building the world's first audio data research company. We move fast, own our work end-to-end, and ship to production daily. Our team designs real-time pipelines handling terabytes of speech data and deploys

Sales Development Representative US, CST Remote | Remote | US, MST Remote NetBox Labs is looking for a Sales Development Representative with 1+ years of experience to play a key role in accelerating new logo revenue by driving first meetings and creating new selling opportunities for the Sales team. In this role you will: - Research and analyze prospects' pain points, use cases, roles, and business objectives - Apply your communication skills to explain the value proposition of NetBox Labs offerings and generate curiosity and interest from prospects - Identify and engage key personas within target accounts using a multi-channel approach (cold calls, email, LinkedIn, video, and other creative outbound tactics) - Build and execute outbound campaigns to drive net-new pipeline for the sales team - Personalize outreach based on research and insights into a prospect's business, role, and challenges - Develop messaging that resonates with technical and business buyers - Qualify prospects via inbound and outbound campaigns - Build revenue pipeline by setting first meetings with qualified users and senior decision-makers - Maintain accurate prospect data within HubSpot, our CRM - Work in a fast-paced environment with the initiative to make your team successful and exceed goals Requirements: - 1+ year experience as an SDR/BDR/Inside Sales in the enterprise or Open Source software space - Passion for technology and ability to break down complex and technical subjects - Superior listening, communication (verbal and written), and presentation skills - Strong time and project management skills, plus the ability to work

Manager, Employee Listening 2 Locations posted: Posted 3 Days Ago

Data Science Manager, Music Recommendations New York, NY Spotify's mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by these creators. Everything we do is driven by our love for music, podcasting and audiobooks. Today, we are the world's most popular audio streaming subscription service with a community of more than 700 million users. We are looking for an extraordinary Data Science Manager to join our Content Insights group and build the next frontier of analytics to support the strategic decision making for our Music Editorial teams, meaning the teams of music experts at Spotify who curate playlists and musical experiences. Spotify's mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by these creators. Everything we do is driven by our love for music, podcasting and audiobooks. Today, we are the world's most popular audio streaming subscription service with a community of more than 700 million users. We are looking for an extraordinary Data Science Manager to join our Content Insights group and build the next frontier of analytics to support the strategic decision making for our Music Editorial teams, meaning the teams of music experts at Spotify who curate playlists and musical experiences. What You'll Do - Act as a key

AI Scientist - Audio Paris About Mistral At Mistral we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation, with teams distributed between Europe, the USA and Asia. We are creative, low-ego and team-spirited. At Mistral, we develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit. Mistral is hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI. What will you do *Research and develop novel methods to push the frontier of large language models *Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech) *Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale *Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact About you * An expert in speech input/output methodologies (specific to audio) *You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java) *You have hands-on

Senior Multimodal AI Researcher, Audio Atlanta, Georgia,United States

Employee Listening and Insights Partner. Irving, Texas posted: Posted 3 Days Ago

Lab Technical Authority Newbury, United Kingdom

Director, Organizational Insights Head - Businesses & Employee Listening TAMPA, Florida, United States of America

Senior Audio Applied Scientist, Edge Technology Cambridge, Massachusetts, USA The Devices and Services org at Amazon has been the innovation engine of consumer electronics at Amazon with the industry-leading Kindle e-readers, Fire tablets, Fire TV, Echo, the most popular smart speaker and Alexa, the leading AI assistant. We are looking for Senior Applied Scientist- Audio to join the Edge Technology team. We are responsible for all of the Echo audio features including Spatial audio and Home Theater. Your work will have a large impact on the lives of Echo customers as music listening is the most popular feature. Key job responsibilities In this role, you will: -Be the champion of Echo music processing technology innovation from ideation, proof of concept to productization -Propose new research projects, get buy-in from stakeholders, and lead the team for successful execution -Work closely with an inter-disciplinary product development team including outside partners to bring the prototype algorithm into commercialization -Be a team leader in an open and collaborative environment Basic Qualifications: - 5+ years of industry or academic research experience - Experience in embedded development in C/C++, or experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations - Experience in written and oral communication, including the ability to communicate with all levels in the organization (technical, business, executive) - Proven track record in commercializing innovative audio (music processing especially in spatial audio) algorithms - Passion for high fidelity music rendering and skilled in