Deep Learning Researcher

Job Description:DataRobot is the leader in Value-Driven AI, a unique and collaborative approach to generative and predictive AI that combines an open platform, deep expertise and broad use-case experience to improve how organizations run, grow and optimize their business. The DataRobot AI Platform is the only complete AI lifecycle platform that interoperates with an organization’s existing investments in data, applications and business processes, and can be deployed on prem or on any cloud environment. Global organizations, including 40% of the Fortune 50, rely on DataRobot to drive greater impact and value from AI.This position aims to advance DataRobot’s unique generative AI position in the market, communicate findings to technical leadership, and foster collaboration on generative AI innovation across teams. In order to continue this mission, DataRobot runs an AI research team focused on advancing the next frontier of AI technologies that will unlock value across businesses and industries. In particular, this team focuses on advancing deep learning and generative AI approaches and applications, publishing research in scientific journals, and sharing findings internally and externally. Their findings are also integrated into product features in order to have practical impact across hundreds of the world’s largest companies. Researchers at DataRobot have a unique advantage in being able to see the impacts of their work as it is integrated into product capabilities rapidly inside a startup environment.Key Responsibilities:You will help identify technology gaps in the industry, particularly in areas that will unlock new value for use-cases for business, and determine research plans to incorporate into research pipelines by writing and motivating strategic research plans.You will execute on long-term research plans with an efficient team in order to advance the state-of-the-art, resulting in scientific publications, advanced development prototypes, and external facing demonstrations.As an AI expert, you will expand relationships with other technical experts inside DataRobot and with customer AI teams from across the world.You will foster collaboration and knowledge-sharing across organizational boundaries.Knowledge, Skills and Abilities:Command of different deep learning and generative AI approaches, their tradeoffs, and the latest research advances.Command of the foundational scientific python ecosystem (pytorch/jax/tensorflow, numpy, scipy, pandas, scikit-learn).Ability to communicate complex technical concepts to diverse audiences.Software design and peer code review skills, including leading others.Passion for research and innovation, both through individual projects and knowledge sharing with internal and external stakeholders.PhD in computer science, data science, artificial intelligence, or related field.3+ years of combined Python engineering and machine learning experience with a focus on Deep Learning.Experience with core deep learning and generative AI technology, including pre-training foundation models, fine-tuning of LLMs, contrastive learning, and evaluating generative results.Experience with retrieval augmented generation and retrieval, ranking, and prompting strategies.Experience publishing academic papers as a lead author or essential contributor.Experience participating in a top conference in High Performance Computing, Deep Learning, Machine Learning or AI domains.Experience with deep learning libraries and frameworks (TensorFlow, JAX, PyTorch, Langchain, etc.).The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core.DataRobot Operating Principles:Wow Our CustomersSet High StandardsBe Better Than YesterdayBe RigorousAssume Positive IntentHave the Tough ConversationsBe Better TogetherDebate, Decide, CommitDeliver ResultsOvercommunicate

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