Reality Labs at Meta is seeking a Research Scientist with deep expertise in Large Language Models (LLMs) to advance our work in AI-powered neuromotor interactions for wearable devices. We are ...
Reality Labs at Meta is seeking a Research Scientist with deep expertise in Large Language Models (LLMs) to advance our work in AI-powered neuromotor interactions for wearable devices. We are ...
Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on.
Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on.
Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively.
Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively.
Voices College-Bound Language Academies exists to change that. Our educational philosophy is ... If our mission, model, and approach to teaching and learning resonate with you, we invite you to ...
Voices College-Bound Language Academies exists to change that. Our educational philosophy is ... If our mission, model, and approach to teaching and learning resonate with you, we invite you to ...
Voices College-Bound Language Academies exists to change that. Our educational philosophy is ... If our mission, model, and approach to teaching and learning resonate with you, we invite you to ...
Voices College-Bound Language Academies exists to change that. Our educational philosophy is ... If our mission, model, and approach to teaching and learning resonate with you, we invite you to ...
Speech and Language Pathologist
San Jose, CA · On-site
$95K - $130K/yr
Voices College-Bound Language Academies exists to change that. Our educational philosophy is ... If our mission, model, and approach to teaching and learning resonate with you, we invite you to ...
Speech and Language Pathologist
San Jose, CA · On-site
$95K - $130K/yr
Voices College-Bound Language Academies exists to change that. Our educational philosophy is ... If our mission, model, and approach to teaching and learning resonate with you, we invite you to ...
Machine Learning Engineer - Speech & Multimodal Language Modeling
Cupertino, CA · On-site
$150.40 - $277.60/hr
A successful candidate is experienced in evaluating complex foundation model-driven systems end-to ... Fine-tune Large Language Models (LLMs) and Speech Language Models (SpeechLMs) to improve ...
Machine Learning Engineer - Speech & Multimodal Language Modeling
Cupertino, CA · On-site
$150.40 - $277.60/hr
A successful candidate is experienced in evaluating complex foundation model-driven systems end-to ... Fine-tune Large Language Models (LLMs) and Speech Language Models (SpeechLMs) to improve ...
... Language Models ... A successful candidate is experienced in evaluating complex foundation model-driven systems end-to ...
... Language Models ... A successful candidate is experienced in evaluating complex foundation model-driven systems end-to ...
... Language Models ... A successful candidate is experienced in evaluating complex foundation model-driven systems end-to ...
... Language Models ... A successful candidate is experienced in evaluating complex foundation model-driven systems end-to ...
... Language Models ... A successful candidate is experienced in evaluating complex foundation model-driven systems end-to ...
... Language Models ... A successful candidate is experienced in evaluating complex foundation model-driven systems end-to ...
Senior Software Engineer, AI Model Lifecycle
San Francisco, CA · On-site
$144K - $190K/yr
... Language Models. Responsibilities : • Manage fine-tuning systems for large foundation models (SFT, PEFT, LoRA, adapters), including multi-node orchestration, checkpointing, failure recovery, and ...
Senior Software Engineer, AI Model Lifecycle
San Francisco, CA · On-site
$144K - $190K/yr
... Language Models. Responsibilities : • Manage fine-tuning systems for large foundation models (SFT, PEFT, LoRA, adapters), including multi-node orchestration, checkpointing, failure recovery, and ...
Research Scientist - NLP
Sunnyvale, CA · On-site
$150K - $450K/yr
The Role As a Research Scientist specializing in Natural Language Processing (NLP) with a focus on large language models and deep learning, your role will be crucial in advancing cutting-edge ...
Research Scientist - NLP
Sunnyvale, CA · On-site
$150K - $450K/yr
The Role As a Research Scientist specializing in Natural Language Processing (NLP) with a focus on large language models and deep learning, your role will be crucial in advancing cutting-edge ...
Research Scientist - NLP
$150K - $450K/yr
The Role As a Research Scientist specializing in Natural Language Processing (NLP) with a focus on large language models and deep learning, your role will be crucial in advancing cutting-edge ...
Quick apply
Research Scientist - NLP
$150K - $450K/yr
The Role As a Research Scientist specializing in Natural Language Processing (NLP) with a focus on large language models and deep learning, your role will be crucial in advancing cutting-edge ...
Responsibilities : • Improve and optimize the performance of large-scale language model training and inference stacks. • Work closely with pretraining and inference teams to identify bottlenecks ...
Responsibilities : • Improve and optimize the performance of large-scale language model training and inference stacks. • Work closely with pretraining and inference teams to identify bottlenecks ...
Hands-on experience with language model post-training and deep learning systems, or building reinforcement learning environments * Experience implementing or developing evaluation benchmarks for ...
Hands-on experience with language model post-training and deep learning systems, or building reinforcement learning environments * Experience implementing or developing evaluation benchmarks for ...
Hands-on experience with language model post-training and deep learning systems, or building reinforcement learning environments * Experience implementing or developing evaluation benchmarks for ...
Hands-on experience with language model post-training and deep learning systems, or building reinforcement learning environments * Experience implementing or developing evaluation benchmarks for ...
AI Research Scientist - MSL FAIR Foundations
Menlo Park, CA · On-site
$184K - $257K/yr
... language model evaluation, benchmarking, or deep learning • Hands-on experience with language model post-training and deep learning systems, or building reinforcement learning environments • ...
AI Research Scientist - MSL FAIR Foundations
Menlo Park, CA · On-site
$184K - $257K/yr
... language model evaluation, benchmarking, or deep learning • Hands-on experience with language model post-training and deep learning systems, or building reinforcement learning environments • ...
Responsibilities : • Model Development: Design, train, and scale next-generation language and reasoning architectures (such as transformers, state space models, diffusion/flow models, and deep ...
Responsibilities : • Model Development: Design, train, and scale next-generation language and reasoning architectures (such as transformers, state space models, diffusion/flow models, and deep ...
Hands-on experience with language model post-training and deep learning systems, or building reinforcement learning environments * Experience implementing or developing evaluation benchmarks for ...
Hands-on experience with language model post-training and deep learning systems, or building reinforcement learning environments * Experience implementing or developing evaluation benchmarks for ...
Hands-on experience with language model post-training and deep learning systems, or building reinforcement learning environments * Experience implementing or developing evaluation benchmarks for ...
Hands-on experience with language model post-training and deep learning systems, or building reinforcement learning environments * Experience implementing or developing evaluation benchmarks for ...
Language Model information
What is a language model?
Language models are artificial intelligence systems designed to understand, generate, and manipulate human language. They are trained on vast amounts of text data to predict the next word in a sequence, answer questions, write content, translate languages, and perform other language-related tasks. Modern language models, such as those based on deep learning, have revolutionized natural language processing by enabling more accurate and context-aware interactions between humans and machines.
What is the difference between Language Model vs Data Scientist?
| Aspect | Language Model | Data Scientist |
|---|---|---|
| Required Credentials | None specific; knowledge of NLP and AI concepts helpful | Bachelor's or higher in Data Science, Statistics, or related fields |
| Work Environment | AI development teams, research labs, tech companies | Business, finance, healthcare, and various industries |
| Employer & Industry Usage | Used in AI applications, chatbots, content generation | Analyzing data, building models, providing insights |
While both roles involve working with data and AI, a Language Model is an AI system designed to understand and generate human language, often developed by AI engineers. A Data Scientist analyzes data to extract insights and build predictive models, often utilizing language models as tools. Understanding the differences helps clarify career paths and job expectations in the AI and data fields.
What are the key skills and qualifications needed to thrive as a language model, and why are they important?
To thrive as a Language Model Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Experience with frameworks like TensorFlow or PyTorch, and familiarity with large-scale data processing tools, are typically required. Strong analytical thinking, collaboration, and problem-solving skills help in designing effective models and working with cross-functional teams. These capabilities are crucial for developing performant and accurate language models that meet complex real-world communication needs.
What are the common challenges faced by professionals working on language model development teams?
Professionals developing language models often encounter challenges such as managing large datasets, addressing biases in training data, and optimizing model performance while balancing computational resources. Collaboration with cross-functional teams—including data scientists, engineers, and domain experts—is essential to ensure the model's accuracy and relevance. Additionally, staying current with rapid advancements in AI research and maintaining responsible AI practices are crucial aspects of the role.
What are popular job titles related to Language Model jobs in California?
For Language Model jobs in California, the most frequently searched job titles are:
- Contract Machine Learning Research Scientist
- Hindi Language Teacher
- Natural Language Processing Engineer
- Trainee Native Japanese Speaker
- Trainee Large Language Model Llm
- Dual Language Immersion Teacher
- Senior Indonesian Language Teacher
- Spanish Language Expert
- Freelance Arabic Language Teacher
- Freelance Croatian
What job categories do people searching Language Model jobs in California look for?
The top searched job categories for Language Model jobs in California are:
What cities in California are hiring for Language Model jobs?
Cities in California with the most Language Model job openings:
Meta rating
7.8
Based on 45 frontline employees who took The Breakroom Quiz
136th of 244 rated software companies
Job description
Reality Labs at Meta is seeking a Research Scientist with deep expertise in Large Language Models (LLMs) to advance our work in AI-powered neuromotor interactions for wearable devices. We are building next-generation language capabilities that enable natural, expressive, and intelligent communication through Meta's wearable platforms via our industry-leading electromyography (EMG) program.Our team within the Wearables Input and Interaction organization is multi-disciplinary, combining machine learning, language modeling, and on-device optimization to push the boundaries of what's possible with language AI on constrained hardware. This is a unique opportunity to conduct cutting-edge LLM research with direct product impact — shaping how people interact with the next generation of wearable devices.We are looking for a researcher who can drive innovation in language model development, optimization, and deployment while setting technical direction for a small team. If you are passionate about building state-of-the-art language models and translating research into real-world products, we want to hear from you.
Research Scientist - Reality Labs Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
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 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. 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.
Research Scientist - Reality Labs Responsibilities:
- Lead the design, development, and optimization of Large Language Models for wearable device applications
- Set technical direction for LLM-related research projects involving 3-4 researchers and engineers
- Conduct research and experiments to improve language model accuracy, efficiency, and on-device performance
- Collaborate with cross-functional teams (engineering, HCI, product) to transition LLM research into production
- Explore and adopt novel model optimization, quantization, and efficiency techniques for resource-constrained environments
- Stay current with state-of-the-art advances in LLMs, NLP, and related fields
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Currently has, or is in the process of obtaining, a PhD in Computer Science, Machine Learning, Natural Language Processing, or a related technical field. Degree must be completed prior to joining Meta
- Demonstrated expertise in Large Language Models — including architecture design, training, fine-tuning, and/or deployment
- Programming experience in Python and hands-on experience with deep learning frameworks such as PyTorch
- Experience developing machine learning models at scale from inception to impact
- 5+ years of research experience working autonomously on ML/NLP problems
Preferred Qualifications:
- Proven track record of architecting knowledge distillation (KD) pipelines to compress frontier LLMs into optimized edge models
- Experience bringing LLM-based products from research to production
- Demonstrated software engineering experience via internship, work experience, or widely used contributions in open source repositories
- Technical leadership experience setting direction for a team of 3-4 researchers/engineers
- First-authored publications at peer-reviewed AI/NLP conferences (e.g., ACL, EMNLP, NeurIPS, ICML, ICLR, NAACL)
- Experience with on-device or edge language model optimization (quantization, sparsity, distillation, knowledge distillation)
- Deep expertise in logit matching, task-specific SFT data synthesis, and instruction-tuning sub-billion models for production tasks
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 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. 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.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$184,000/year to $257,000/year + bonus + equity + benefits
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.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$184,000/year to $257,000/year + bonus + equity + benefits
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.
About Meta
Sourced by ZipRecruiter
Industry
Internet and it, media and telecom and software development
Company size
10,000+ Employees
Headquarters location
Menlo Park, CA, US