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 ...
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 ...
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 ...
... 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 ...
Discovery AI Lab is pioneering large language model (LLM) technologies across the full ML lifecycle - pre-training, mid-training, and post-training - to.
Discovery AI Lab is pioneering large language model (LLM) technologies across the full ML lifecycle - pre-training, mid-training, and post-training - to.
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 ...
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 ...
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 ...
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 ...
Quick apply
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 ...
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 ...
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 • ...
Software Engineer - Voice Model
Palo Alto, CA · On-site
$150K - $450K/yr
Work on pre-training and post-training of speech-language models, with targeted enhancements ... through supervised fine-tuning, reinforcement learning, and other techniques to ensure Grok Voice ...
Software Engineer - Voice Model
Palo Alto, CA · On-site
$150K - $450K/yr
Work on pre-training and post-training of speech-language models, with targeted enhancements ... through supervised fine-tuning, reinforcement learning, and other techniques to ensure Grok Voice ...
Senior Staff Software Engineer, AI Model Lifecycle
San Francisco, CA · On-site
$144K - $190K/yr
The Senior Staff Software Engineer for the AI Model Lifecycle team will manage fine-tuning systems for large foundation models and implement end-to-end training pipelines for Large Language Models ...
Senior Staff Software Engineer, AI Model Lifecycle
San Francisco, CA · On-site
$144K - $190K/yr
The Senior Staff Software Engineer for the AI Model Lifecycle team will manage fine-tuning systems for large foundation models and implement end-to-end training pipelines for Large Language Models ...
Language Model information
See Fremont, CA salary details
$11.31 - $16.96
18% of jobs
$18.55 is the 25th percentile. Wages below this are outliers.
$16.96 - $22.61
25% of jobs
$22.61 - $28.25
4% of jobs
The median wage is $30.60 / hr.
$28.25 - $33.90
6% of jobs
$33.90 - $39.54
21% of jobs
$39.74 is the 75th percentile. Wages above this are outliers.
$39.54 - $45.19
7% of jobs
$45.19 - $50.83
9% of jobs
$50.83 - $56.48
6% of jobs
$56.48 - $62.13
1% of jobs
$62.13 - $67.77
0% of jobs
$67.77 - $73.42
1% of jobs
$11
$34
$73
How much do language model jobs pay per hour?
As of Aug 23, 2026, the average hourly pay for language model in Fremont, CA is $34.34, according to ZipRecruiter salary data. Most workers in this role earn between $20.77 and $42.88 per hour, depending on experience, location, and employer.
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 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 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 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 popular job titles related to Language Model jobs in Fremont, CA?
For Language Model jobs in Fremont, CA, the most frequently searched job titles are:
What job categories do people searching Language Model jobs in Fremont, CA look for?
The top searched job categories for Language Model jobs in Fremont, CA are:
What cities near Fremont, CA are hiring for Language Model jobs?
Cities near Fremont, CA with the most Language Model job openings:
Job description
About the Team
Our team is organized around the north star goal of building an AI scientist - a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier.
About the roleAs a Research Engineer on our team you will work end to end across the whole model stack, identifying and addressing key infra blockers on the path to scientific AGI. 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. This may include performance optimization, distributed systems, VM/sandboxing/container deployment, and large scale data pipelines. Join us in our mission to develop advanced AI systems pushing the frontiers of science and benefiting humanity.
Responsibilities:- Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments
- Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities
- Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI.
- Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows
- Collaborate to translate experimental requirements into production-ready infrastructure
- Develop large scale data pipelines to handle advanced language model training requirements
- Optimize large scale training and inference pipelines for stable and efficient reinforcement learning
- Have 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems
- Are a strong communicator and enjoy working collaboratively
- Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads
- Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale
- Have proven track record of building large-scale data pipelines and distributed storage systems
- Excel at diagnosing and resolving complex infrastructure challenges in production environments
- Can work effectively across the full ML stack from data pipelines to performance optimization
- Have experience collaborating with other researchers to scale experimental ideas
- Thrive in fast-paced environments and can rapidly iterate from experimentation to production
- Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.)
- Background in building infrastructure for AI research labs or large-scale ML organizations
- Knowledge of GPU/TPU architectures and language model inference optimization
- Experience with cloud platforms (AWS, GCP) at enterprise scale
- Familiarity with VM and container orchestration.
- Experience with workflow orchestration tools and experiment management systems
- History working with large scale reinforcement learning
- Comfort with large scale data pipelines (Beam, Spark, Dask, ...)
About Anthropic
Sourced by ZipRecruiter
Company size
11 - 50 Employees
Headquarters location
Daly City, CA, US
Year founded
2021