Staff AI Researcher, DataRobot
Value-Driven AI for business
Open for applications
Value-Driven AI for business
1001+ employees
Open for applications
1001+ employees
Company mission
To change the way businesses all over the world make their most important decisions.
Role
Who you are
- 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.)
What the job involves
- 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
- 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
- Additionally, they will have unique exposure to many of the world 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 behavior 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
- 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
Our take
DataRobot is an enterprise AI platform that helps business analysts develop predictive analytics without requiring any knowledge of programming or machine learning. The platform uses machine learning to build and distribute accurate predictive models quickly by automating users' end-to-end journeys.
Unlike its competitors, such as Domino Data Lab, Captricity, and Datameer, DataRobot's primary selling point is its extensibility. Depending on the job function or comfort level users opt for, they have the option to take complete control of their workflow. Business analysts are free to use the platform as a wizard, but more experienced data scientists have the opportunity to alter many parameters in order to develop precise models.
DataRobot's customers have developed over 500 million models on the DataRobot Cloud on AWS after it earned Amazon Web Services (AWS) ML Competency status. By selling its AI toolkits to more than a third of the Fortune 50, including Kroger, Nationwide, and Lenovo, the company has continued to go from strength to strength and has been recognized as a leader in the space.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-35% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Jun 2021
$300m
SERIES G
Dec 2020
$50m
SERIES F
Total funding: $1.1bn
Company benefits
- Medical, Dental & Vision Insurance
- Flexible Time Off Program
- Paid Holidays
- Paid Parental Leave
- Global Employee Assistance Program (EAP)
- Work from Home Opportunities
- A World-class Team
- Company Outings
- Open Door Policy
Company values
- Be You - We are co-contributors to our culture committed to diversity, inclusion, equity and a sense of belonging throughout our global community. We value each person as their authentic self and welcome honest and respectful dialogue as an avenue to greatness.
- Dream Big - We don’t settle for the status quo. We always pursue the development of the next version of ourselves. We believe investment in the growth and resilience of our people is the foundation of building an iconic company.
- Better Together - We celebrate success and learn from failure as one team. We foster an aligned, collaboration-first workplace by building trust through transparency, integrity and accountability
- Champion Customers - We empower our customers and our communities by shaping the future of trusted, augmented intelligence in order to solve their most difficult problems. We are humble, not complacent. We succeed when they succeed.
- Be Data-Driven - We believe data-driven decision making enables innovation and execution at velocity while ensuring repeatable success. We take on the toughest challenges as we transform the world with our platform and AI.
Company HQ
Financial District, Boston, MA
Articles
Leadership
Debanjan Saha
(CEO)Previously the VP of Data Analytics at Google and VP of managed database services at Amazon.
Salary benchmarks
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