Requirements:
- Bachelor's Degree in Computer Science, or related technical discipline, along with technical engineering experience in languages like C, C++, C#, Java, JavaScript, or Python
- Demonstrated full-stack experience in large-scale AI with top-tier publications, open-source contributions, or on-the-job work
- Deep expertise in prompt engineering, pre-training, fine-tuning, reinforcement learning, data curation, LLM inference, deployment, etc.
Nice to Haves:
- Bachelor's/Master's Degree in Computer Science or related field with coding experience in various languages
- Passion for conversational AI deployment
- Written and verbal communication skills for collaboration with cross-functional teams
- Interest in learning new technologies and staying updated with AI trends
- Ability to contribute to a positive, inclusive work environment
What You'll Be Doing:
- Work across the full AI modeling stack, including prompt design, training, inference, LM systems design, and deployment
- Design and validate hypotheses across a cutting-edge language modeling stack
- Collaborate between research and engineering to deliver LLM solutions in healthcare
Perks and Benefits:
Benefits/perks may vary based on employment nature and location.