other
Posted Jan 14Member of Technical Staff, MLE [Singapore]
at Cohere
Singapore, SingaporeRemote
Responsibilities
- Train and customize frontier models — not just use APIs.
- Influence the capabilities of Cohere’s foundation models.
Requirements
- We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents.
- We believe that our work is instrumental to the widespread adoption of AI.
- Join us on our mission and shape the future! WHY THIS ROLE IS DIFFERENT This is not a typical “Applied Scientist” or “ML Engineer” role.
- As a Member of Technical Staff, Applied ML, you will: 1.
- This role combines the breadth of an early-stage CTO with the infrastructure and scale of a deep-learning lab. 5.
- Wear multiple hats, set a high technical bar, and define what Applied ML at Cohere becomes.
- WHAT YOU’LL DO Technical Leadership & Solution Design - Contribute to the design and delivery of custom LLM solutions for enterprise customers. - Translate ambiguous business problems into well-framed ML problems with clear success criteria and evaluation methodologies.
- Customer-Facing Technical Impact - Work as part of Cohere’s customer facing MLE team to identify high-value opportunities where LLMs can unlock transformative impact to our enterprise customers.
- YOU MAY BE A GOOD FIT IF YOU HAVE: Technical Foundations - Strong ML fundamentals and the ability to frame complex, ambiguous problems as ML solutions. - Fluency with Python and core ML/LLM frameworks. -
- Experience working with (or the ability to learn) large-scale datasets and distributed training or inference pipelines. - Understanding of LLM architectures, tuning techniques (CPT, post-training), and evaluation methodologies. - Demonstrated ability to meaningfully shape LLM performance.
- Experience & Leadership - A broad view of the ML research landscape and a desire to push the state of the art.
- Mindset - Bias toward action, high ownership, and comfort with ambiguity. - Humility and strong collaboration instincts. - A deep conviction that AI should meaningfully empower people and organizations.
- As an MTS in Applied ML, you will define not only what we build — but how the world experiences AI.