Member of Technical Staff - Sovereign AI
WFA Digital Insight
As the demand for AI specialists continues to skyrocket, with a 25% growth in roles requiring machine learning expertise in the past year, Cohere stands out as a leader in the field. With a strong focus on diversity and inclusion, the company is well-positioned to drive innovation in AI research. The Member of Technical Staff - Sovereign AI role is particularly interesting, given the emphasis on designing and implementing novel research ideas and collaborating with top researchers. To succeed in this role, candidates will need to bring extremely strong software engineering skills, proficiency in Python, and experience with large-scale distributed training strategies. Before applying, candidates should be prepared to demonstrate their expertise in AI research and development, as well as their ability to work effectively in a remote team.
Job Description
About the Role
The Member of Technical Staff - Sovereign AI role at Cohere is a unique opportunity to work on cutting-edge AI research and development. As a member of the technical staff, you will be responsible for designing and implementing novel research ideas, shipping state-of-the-art models to production, and maintaining deep connections to academia and government. You will be working closely with a team of researchers, engineers, and designers who are passionate about their craft and committed to driving innovation in AI.The role is ideal for someone who is passionate about AI research and development, and who is looking to work on complex, mission-critical projects. You will have the opportunity to work on a wide range of topics, from agentic AI systems to large-scale distributed training strategies. The team at Cohere is committed to creating a diverse and inclusive work environment, and is looking for candidates who share this vision.
What You Will Do
- Design and build agentic AI systems for serving mission-critical use cases
- Research, implement, and experiment with ideas on supercompute and data infrastructure
- Learn from and work with the best researchers in the field
- Execute across the full AI stack and ship products to serve public interest
- Collaborate with cross-functional teams to design and implement novel research ideas
- Work closely with the engineering team to ensure seamless integration of research into production
- Participate in code reviews and contribute to the improvement of the codebase
- Stay up-to-date with the latest developments in AI research and development
- Contribute to the development of new research ideas and projects
What We Are Looking For
- Canadian citizenship and eligibility for security clearance
- Extremely strong software engineering skills
- Proficiency in Python and related ML frameworks
- Experience training, evaluating, and using large language models (LLMs)
- Experience using large-scale distributed (GPU) LLM training strategies
- Strong understanding of computer science fundamentals, including data structures and algorithms
- Excellent communication and collaboration skills
- Ability to work effectively in a remote team
- Strong problem-solving skills and attention to detail
Nice to Have
- A paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)
- Experience with large-scale distributed training strategies
- Familiarity with agile development methodologies
Benefits and Perks
- Competitive salary and benefits package
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
- Flexible working hours and remote work options
- Access to cutting-edge technology and tools
- Comprehensive health and dental benefits
- Generous parental leave policy
- Professional enrichment benefits
How to Stand Out
- Make sure to highlight your experience with Python and ML frameworks in your application
- Be prepared to discuss your experience with large-scale distributed training strategies and how you have applied them in previous roles
- Show a strong understanding of computer science fundamentals, including data structures and algorithms
- Be prepared to discuss your research interests and how they align with the company's mission
- Don't be afraid to ask about the company culture and values during the interview process
- Be prepared to provide examples of your work, such as research papers or code samples
- Research the company's products and services and be prepared to discuss how your skills and experience align with their needs
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