Staff Machine Learning Engineer 2

Qualifications include:

• Nuanced understanding of modern Deep Learning language representation techniques with the ability to design and implement novel Deep Learning solutions
• Mastery of Tensorflow / Pytorch / Keras frameworks for implementing and optimizing deep learning algorithms for training quality and serving performance
• Exposure to industry, open source or academic research, particularly in deep learning, NLP and LLMs
• Extensive experience building applications using LLMs, RAG, Agents
• Deep understanding of many different quality metrics (MRR, F1, NDCG, Recall/Precision, etc.) and the tradeoffs of each with the ability to design ensemble metrics that correlate to business KPIs
• Extensive experience shipping products and features, ML-Ops, CI/CD, Git
• Strong algorithms, data structures, and coding background with primarily, Python or Java, C++, or Scala programming experience
• Experience with software engineering standard methodologies (unit testing, code reviews, design document, continuous delivery)
• Ability to conceptualize and articulate ideas clearly and concisely
• A great team player who can bend his/her ways to help the team as needed
• Extensive experience with advanced AI/ML techniques concerning ranking, recommendation and personalization (e.g., natural networks/deep learning, reinforcement learning, A/B testing, Natural Language Processing, Generative AI, etc.)
• Experience with applying Reinforcement Learning in production scenarios is a plus.
• Preferably PhD or Masters in Computer Science, Math, Physics, or other technical fields with 7+ years of experience