Software Engineer – SW Specialist - Language - Menlo Park, CA | Remote, US
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Software Engineer – SW Specialist - Language Responsibilities
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta. Apply
- Apply relevant AI and machine learning techniques to build intelligent systems that improve Meta products and experiences.
- Develop novel, accurate AI algorithms and advanced systems for large scale applications.
- Define use cases and develop methodology and benchmarks to evaluate different approaches.
- Telecommute from anywhere in the U.S.
- Requires a Master’s degree in Computer Science, Engineering, Applied Sciences, Mathematics, Physics, or related field and three years of work experience in job offered or in a computer related occupation. Experience must include three years of experience in the following:
- 1. One or more of the following areas: NLP, ASR, TTS, Conversational AI, Dialogue, Machine Learning or artificial intelligence
- 2. Developing machine learning algorithms or machine learning infrastructure in C/C++ or Python
- 3. Developing paralinguistic engines including speaker identification, whisper detection, stutter detection
- 4. Developing streaming audio processing pipelines, as well as designing thread model inside such pipelines
- 5. On device development and debugging
- 6. Developing and optimizing speech AI models, having experience on common modeling optimizations including quantization, gradient checkpointing
- 7. Developing end-to-end streaming speech APIs and services, and the ability to maintain scalability and availability of such services.
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta. Apply
Job Profile
Regions Countries Benefits/PerksBenefits Bonus Equity Long term conditions Mental health conditions Pregnancy-related support Religious beliefs
SkillsAI Algorithms Artificial Intelligence ASR C C/C++ Computer Science Developing Engineering Machine Learning Modeling NLP Python Recruiting TTS Web
Tasks- Apply AI and machine learning techniques
- Define use cases and benchmarks
- Define use cases and develop methodology
- Design thread model inside pipelines
- Develop AI algorithms and systems
- Develop and optimize speech AI models
- Develop end-to-end streaming speech APIs and services
- Develop machine learning algorithms in C/C++ or Python
- Develop paralinguistic engines
- Develop streaming audio processing pipelines
3 years
EducationApplied Sciences Artificial Intelligence Computer Science Engineering Master’s Degree in Computer Science Mathematics Physics Related Field
RestrictionsRemote US
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9