[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) Meta Platforms · Menlo Park, CA # Research Scientist Intern, AI Research - Speech & Audio (PhD) Menlo Park, California, US +1 more Internship or early career Early career Research & Science Listed on Meta Platforms’s official careers site. Posted October 27, 2026. Check that it is still open and apply there. [Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1567168005156007/) [OpenNash Jobs](https://jobs.opennash.com/) / [Meta Platforms](https://jobs.opennash.com/companies/meta-platforms/) / Research Scientist Intern, AI Research - Speech & Audio (PhD) ## Job description Meta AI is currently seeking Research Scientist interns. Our team creates spoken language technology to make it faster and easier for people to build community and connect with others around the world. We conduct product-motivated research in ML/AI and design, develop and deploy state-of-the-art algorithms to the rest of Meta. We work in all aspects of AI for speech and audio processing, with a primary focus on speech with large language models (LLM) to power various speech-LLM-based products. As a Research Scientist Intern, you will help us develop innovative models and algorithms and apply them to large-scale production speech tasks. Our teams at Meta AI offer twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. ## Responsibilities Perform research to advance the science and technology of intelligent machines. Develop novel and accurate speech algorithms and systems, leveraging deep learning and machine learning on big data resources. Contribute research that can be applied to Meta product development. Analyze and improve efficiency, scalability, and stability of various deployed systems. Collaborate with team members from prototyping to production. ## Qualifications Currently has, or is in the process of obtaining a PhD degree in the field of Computer Science, Artificial Intelligence, Natural Language Processing, or related field - Research and/or work experience in machine learning, deep learning, and speech technology Experience with training deep neural networks for key speech tasks such as speech recognition, speech translation, speech synthesis, speaker diarization, sentiment analysis, acoustic event recognition, wake word, scene understanding, etc Experience in Python Experience in deep learning frameworks (PyTorch, Tensorflow, etc) - Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment - Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as Interspeech, ACL, ICASSP or similar Experience working on speech LLMs Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources Experience working and communicating cross functionally in a team environment Intent to return to a degree-program after the completion of the internship/co-op ## At a glance - Posted by the employer: Oct 27, 2026 - First seen by OpenNash: Nov 1, 2026 - Last checked: Nov 1, 2026 - Listed for: 5 days - Location: Menlo Park, California, US +1 more - Employment type: Internship or early career[Apply on Meta Platforms’s careers site →](https://www.metacareers.com/jobs/1567168005156007/) ## Hiring at Meta Platforms - Open jobs: 1,310 - New in the last 7 days: After two weekly collections - Tracked since: Jul 11, 2026 [All Meta Platforms jobs](https://jobs.opennash.com/companies/meta-platforms/) · [Weekly hiring report](/reports/hiring/) ## More jobs at Meta Platforms ### [Research Engineer - AI Safety Systems and Guardrails](https://jobs.opennash.com/companies/meta-platforms/jobs/15dedf8a3a634e814981/) Menlo Park, California, US +1 more ### [Research Scientist Intern, Ads Recommendations (PhD)](https://jobs.opennash.com/companies/meta-platforms/jobs/886ce753a8f8b9beb582/) Menlo Park, California, US +1 more ### [Director, Business Development & Strategic Alliances](https://jobs.opennash.com/companies/meta-platforms/jobs/53b9c30c0845b889def7/) Menlo Park, California, US +1 more ### [People Service Delivery Lead](https://jobs.opennash.com/companies/meta-platforms/jobs/d6958dc2918d9091a267/) Menlo Park, California, US +1 more ### [Software Engineer, Systems](https://jobs.opennash.com/companies/meta-platforms/jobs/7f452c1a5f94ed8a5712/) Menlo Park, California, US +1 more ## Similar jobs at other companies ### [Speech & Audio Research Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/804f89bb0f3eccbf1a9b/) Qualcomm · San Diego, California, United States of America ### [Senior Research Scientist - Bioanalytical LCMS Research and Development](https://jobs.opennash.com/companies/thermo-fisher-scientific/jobs/e9e321eedbccee5ebefa/) Thermo Fisher Scientific · Richmond, Virginia, United States of America ### [Research Scientist 2](https://jobs.opennash.com/companies/humana/jobs/ec75b9eedca849c2c7ce/) Humana · Remote, Nationwide ### [Research Scientist - E2](https://jobs.opennash.com/companies/lockheed-martin/jobs/428dcbbf358b2086a059/) Lockheed Martin · Louisville, CO ### [Data Scientist, Operations Research](https://jobs.opennash.com/companies/cardinal-health/jobs/ce82441f816d003d13aa/) Cardinal Health · International OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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