Staff LLM Engineer

• Design and implement diverse AI and ML applications and workflows, including agents, batch inferencing processes, and real-time inferencing solutions
• Design and contribute to the development of search and retrieval algorithms, recommender systems, personalization algorithms, and more
• Lead the research and development of sophisticated machine learning models and model training and evaluation pipelines
• Drive operational excellence by leading initiatives to streamline AI and machine learning workflows and establish standardized procedures to ensure consistent and high-quality outcomes across our AI/ML projects and systems
• Continuously monitor and evaluate emerging AI and machine learning research and technologies, integrating relevant advancements to enhance our solutions
• Collaborate with both technical and non-technical colleagues, including data scientists, software engineers, product managers, and business stakeholders, to drive the successful implementation of machine learning projects
• Coach and mentor fellow engineers, contributing to our culture of collaboration, scientific inquiry, continuous learning, and engineering excellence
• Employ a diverse set of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine learning systems

• 7+ years of hands-on experience in machine learning, data science, or related fields, with a strong emphasis on research, scientific methodology, and practical engineering applications
• Extensive knowledge of machine learning algorithms and statistical modeling, coupled with proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, and others
• Experience with LLM-based applications and development, including commercial solutions such as OpenAI API and Anthropic, as well as open-source models and frameworks like Hugging Face, LangChain, Llama, etc.
• Experience designing, developing, and deploying end-to-end machine learning systems, including data pipelines, model training and serving, and monitoring solutions
• Strong leadership skills, including guiding projects and mentoring team members, fostering a collaborative and high-performing work environment that values continuous improvement and knowledge sharing
• Ability to break down complex projects, effectively scope and sequence work, and manage timelines to ensure the timely and successful delivery of machine learning initiatives
• Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders
• Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field is preferred

Sense of humor is optional but appreciated

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
• Community Engagement: Make a difference through our volunteering program