About the Role

Senior Applied Scientist role focused on applying generative AI to solve real-world customer problems. You will design and implement bespoke AI solutions, optimize models, and guide customers through adoption and scaling. This position requires deep expertise in machine learning, Python, and large language models.

Key Responsibilities

• Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions
• Interact with customers directly to understand business problems and guide implementation of generative AI solutions
• Help customers optimize solutions through model selection, training, tuning, distillation, and hardware optimization
• Provide customer and market feedback to product and engineering teams to define product direction

Required Skills & Qualifications

Must Have:

• PhD in computer science, engineering, mathematics, operations research, or highly quantitative field plus 5 years relevant experience, or Master's plus 10 years
• 5+ years hands-on experience with Python to build, train, and evaluate models
• 5+ years experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel/distributed computing, or high-performance computing
• 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, fine-tuning, or reinforcement learning techniques
• Scientific publication track record at top-tier AI/ML/NLP conferences or journals

Nice to Have:

• Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization
• Experience with model optimization techniques (quantization, distillation, compression, inference optimization)
• Experience with open-source frameworks for model customization (trl, verl) and LLM-powered applications (LangChain, LlamaIndex)
• Strong communication skills to convey technical concepts to non-experts
• Track record of leading design, implementation, and delivery of scientifically-complex solutions spanning multiple teams

Benefits & Perks

• Inclusive team culture with employee-led affinity groups and diversity conferences
• Mentorship and career growth opportunities with knowledge-sharing resources
• Work-life balance with flexibility and support for workplace accommodations