Principal Applied Scientist

Job Description

Responsibilities

• Collaborate with product managers to translate business and product requirements into AI projects.
• Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services.
• Coordinate with multinational teams to drive projects from research POC to production.
• Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning.
• Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices.
• Lead and mentor both junior and senior applied scientists.
• Develop production code and advocate for the best coding and engineering practices.
• Participate in project planning, review, and retrospective sessions.
• Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering.

Qualifications And Experience

• Demonstrated experience in designing and implementing scalable AI models for production.
• Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers.
• Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts.
• Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc.
• Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems.
• Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production.
• Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences.
• Experienced leading senior scientists and early-career scientists.

Preferred Qualifications

• Knowledge of healthcare and experience delivering healthcare AI models are a significant plus.
• Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus.

Education

• PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning with 3+ years relevant experience is preferred but not a must; OR
• Masters or Bachelor’s in related field with 5+ years relevant experience

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