Sr Applied AI Researcher

Datasite is where deals are made. We provide the data rooms and SaaS technology used in M&A and other high-value transactions, to deliver projects in more than 170 countries. Carrying that success into the future is all about you. Your useful skills, your unusual experience, your unique ideas. Everyone here brings something unexpected. What’s yours? Invest your talents in us, and we’ll return the compliment.

Job Description:

We are looking for a Senior Applied AI Researcher who has experience performing applied AI research to identify, evaluate, and prototype solutions to complex problems.

Summary:

At Datasite we are transforming the way companies do Mergers and Acquisitions (M&A). We have the industry leading M&A platform built on a modern micro-services architecture. We are looking for a talented AI Research Scientist to join our team and explore novel solutions to a range of problems in the M&A space.  As a Senior Applied AI Researcher, you will research solutions for improving the efficiency of traditionally slow, rote, and ultra-high stakes workflows, while maintaining and instilling customer trust.  You will work with a team of AI/ML professionals to develop and deploy AI technologies that are central to building a deep moat for an indelible brand in M&A. You will build technology that the smartest minds in finance will rely upon every day.

In this role, you will:

• Perform research with the goal of improving business outcomes throughout the organization.
• Identify, evaluate, and prototype AI solutions tailored to our sophisticated, high-stakes customer base.
• Collaborate closely with members of the AI/ML Team and Product Managers to demonstrate solution alternatives.
• Build a path to viable product outcomes leveraging ML, NLP, and LLMs.

Essential Duties and Responsibilities:

• Research ways of improving business outcomes through the use of AI/ML. 
• Investigate AI solutions that make document review, document organization, and Q&A processes more efficient.
• Collaborate with Data Scientists, Engineers, and Product Managers to create solution requirements.
• Develop new AI models and algorithms that power foundational products within Datasite.

Qualifications:

• Experience performing quantitative research with the goal of improving specific product outcomes.
• Experience identifying and evaluating competing AI solution alternatives and making recommendations to both the AI/ML and product teams.
• Demonstrated ability to collaborate with cross-functional teams to deliver AI solutions that enhance product offerings and customer satisfaction.
• Natural inclination to seek understanding of customers, consider business context, and learn from shipping code.
• Experience with NLP and Deep Learning frameworks.

Minimum Education:

• PhD in Computer Science, Machine Learning, AI, Statistics, or related field.

Minimum Experience:

• 10+ years performing quantitative research that resulted in outcomes that made direct, measurable product impact.

Additional Requirements:

• Ability to work independently on complex problems.
• Ability to communicate progress on research objectives to a non-technical audience.
• Ability to work in conjunction with teams and product groups.
• Ability to rapidly acquire new domain knowledge.
• Publications and/or patents highlighting prior research endeavors.

The base salary range represents the estimated low and high end for this position at the time of this posting. Consistent with applicable law, each candidate’s compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. Datasite reserves the right to modify this pay range at any time.

salary range $146,000 - 260,000

As a global organization, Datasite knows that diverse perspectives are essential to our success. We’re committed to maintaining a diverse workforce to serve our customers around the world. Datasite is an equal opportunity employer (EEO) and furthers the principles of EEO through Affirmative Action.