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AI Researcher

1 month ago

San Francisco, California, United States DataRobot Full time
Unlock the Power of AI with DataRobot

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.

DataRobot is an innovative leader in technology to apply AI and realize value.

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.

The 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 to have practical impact across hundreds of the world's largest companies.

Researchers at DataRobot have a unique advantage in seeing the impacts of their work as it is integrated into product capabilities rapidly inside a startup environment.

Additionally, they will have unique exposure to many of the world's largest enterprise company AI builds to understand the innovations that will have the highest real-world impacts.

DataRobot's research areas today involve enabling businesses to realize value with AI.

For example, generative AI assessment involves developing novel approaches to gain confidence in generative AI pipelines before deployment.

Research into improving the quality of RAG outputs (or related techniques) includes novel LLM fine-tuning, optimizing embeddings, and agent-based retrieval strategies.

Cost reduction research involves developing new strategies to reduce latency and costs of generative AI pipelines.

And finally, genAI consumption research involves improving how users engage with AI systems, such as agent-based problem-solving experiences.

Key Responsibilities
  • 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.
  • Execute on long-term research plans with an efficient team to advance the state-of-the-art, resulting in scientific publications, advanced development prototypes, and external-facing demonstrations.
  • As an AI expert, expand relationships with other technical experts inside DataRobot and with customer AI teams from across the world.
  • Foster collaboration and knowledge-sharing across organizational boundaries.
Requirements
  • 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.).
Benefits

DataRobot is committed to providing a safe and secure environment for all job applicants.

We encourage all job seekers to be vigilant and protect themselves against recruitment scams by verifying the legitimacy of any job offer before providing personal information or paying any fees.

Communication from our company will be sent from a verified email address using the @

email domain.

If you receive any suspicious emails or messages claiming to be from DataRobot, please do not respond.

Thank you for your interest in DataRobot, and we look forward to receiving your application through our official channels.