Research Staff, LLMs
Deepgram$150,000 - $220,000/year
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries
Requirements
- PhD in Computer Science, Machine Learning, or a related field, with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
- Deep expertise in code LLMs and agent systems, with a strong understanding of the latest research and trends, including active contributions to their development
- Hands-on experience with frontier LLMs and their applications in code generation or automation
- Strong software engineering skills, with proficiency in Python and PyTorch, TensorFlow, or similar frameworks
- Experience with distributed systems, cloud infrastructure, and scalable architectures
- Proactive, self-motivated mindset, with a passion for solving ambitious, open-ended problems
- Location alignment with ET to CET time zones for effective collaboration (hybrid or remote-friendly)
Responsibilities
- Stay up-to-date with the latest research in code LLMs, agents, and related fields, implementing novel ideas into our systems
- Design and implement scalable strategies to train code models, and deploy agent frameworks for inference and sampling
- Collaborate with the pretraining team, create SFT trajectories, and work on existing and new RL algorithms
- Hillclimb on existing benchmarks and design new ones that reflect the needs of our enterprise users
- Lead experiments on our state-of-the-art compute infrastructure, pushing the boundaries of what’s possible with frontier LLMs
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the work arrangement for this role?
The position is hybrid, with offices in London, Toronto, New York, and San Francisco, and it's also remote-friendly. The team operates primarily between ET to CET time zones, seeking candidates in locations that align with these hours for effective collaboration.
What salary or compensation does this role offer?
This information is not specified in the job description.
What qualifications make someone a good fit for this role?
A PhD in Computer Science, Machine Learning, or a related field with publications in top-tier venues like NeurIPS, ICML, ICLR, or ACL is required.
What is the company culture like at Cohere?
Cohere obsesses over what they build, works hard and moves fast for customers, and blends engineering and research where everyone contributes to both. They value a team of the best in the world who are passionate about their craft and believe diverse perspectives are essential for great products.
What makes a strong candidate for this position?
Strong candidates have a PhD with top-tier publications and experience staying current with research in code LLMs and agents, implementing novel ideas, designing scalable training strategies, leading experiments, and collaborating across teams.
Cohere
Provides NLP tools and LLMs via API
About Cohere
Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their services cater to a wide range of clients, including businesses that want to improve their content generation, summarization, and search functions. Cohere's business model focuses on offering scalable and affordable generative AI tools, generating revenue by granting API access to pre-trained models that can handle tasks like text classification, sentiment analysis, and semantic search in multiple languages. The platform is customizable, enabling businesses to create smarter and faster solutions. With multilingual support, Cohere effectively addresses language barriers, making it suitable for international use.
Toronto, CanadaHeadquarters
2019Year Founded
$914.4MTotal Funding
SERIES_DCompany Stage
AI & Machine LearningIndustries
501-1,000Employees