채용
Benefits & Perks
•Top Tier compensation with equity
•Annual team offsites
•Wellness benefits
•Remote work flexibility
•Learning and development stipend
Required Skills
SQL
TensorFlow
Python
The Voice AI team in EMEA, part of the Meta Superintelligence Labs, is looking for a Research Scientist (Speech and Language). The Voice AI team works on large language models (LLMs) with native supporting for processing, understanding and generating of audio and speech as a modality besides others such as text or vision. As part of this, we are leveraging knowledge in areas like speech/audio encoders/tokenizer, pre-training, post-training, (online) reinforcement learning, LLM alignment, multimodal modelling, speech and audio processing, speech recognition (ASR), speech synthesis (TTS), and multilingual modelling. Our work is focused on advancing core technologies to drive and advance core product experiences at Meta such as video dubbing on IG/FB or Meta AI which is available on e.g. Ray Ban Meta glasses or within Whats App.
Research Scientist Voice AI - EMEA Responsibilities:
- Apply relevant AI and machine learning techniques to build and advance audio and speech technologies using large language models that can be applied to a wide area of Meta production use cases
- Work towards long-term ambitious research and productization goals, while identifying intermediate milestones
- Work with large data, and contribute to development of large scale foundation models
- Influence progress of relevant research communities by producing publications
Minimum Qualifications:
- PhD degree in Artificial Intelligence (AI), computer science, related technical fields with 1+ years of experience, or BS degree with 3+ years of industrial research experience in the related field
- AI research experience in the domains of audio and speech processing
- First-author publications at peer-reviewed AI conferences (e.g. Interspeech, ICASSP, ASRU, SLT, NeurIPS, CVPR, ICML, ICLR, ICCV, ACL)
- Strong skills to communicating complex research for public audiences or peers
- Experience developing machine learning algorithms in e.g. Python, Py Torch, C/C++
Preferred Qualifications:
- Research experience in generative AI, especially in building and optimising large language models for areas of audio/ speech processing and understanding, computer vision and/or natural language understanding beyond black-box use
- Additional AI research experience in computer vision and/or NLP
- Previous internship(s) and/or research assistantship(s) in an AI research organization
- Industry experience working on Speech, Language, and LLM related topics and the experience to apply relevant AI and machine learning techniques to build intelligent rich speech & language systems for improving product experiences
- Interest in taking new research findings in this area and implementing them towards product needs
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Data Scientist
3,113 reports
$284,667
total / year
Base
$179,458
Stock
$79,981
Bonus
$25,228
$193,897
$434,902
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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