We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for exceptional researchers to work with our luminary science advisers on major scientific breakthroughs.

You will love this job if:

• You love solving really challenging problems
• You seek opportunities to see your research deployed in practice to solve real world problems
• You enjoy working at the very cutting edge of R&D
• You want to experience an early stage startup

What you’ll be responsible for:

• Researching and proposing solutions to the different science problems in an evolving environment
• Collaborating with engineering and product leadership to prioritize a long-term roadmap of science breakthroughs
• Working with the engineering team who will be responsible for integrating and deploying your work in production
• Conducting regular internal science reviews

What we look for in a candidate:

• Pursuing a PhD in artificial intelligence, natural language processing, machine learning, data science, or math
• Experience or strong interest in any of the following: natural language processing, machine translation, self-supervised learning, active learning, computer vision, statistics, causal inference, and other related disciplines
• Programming skills and familiarity of modern ML frameworks
• Strong problem-solving and time management skills
• Strong communication skills and capacity to report and disseminate results
• Passion for scientific and technical excellence

Perks:

• Competitive pay
• Healthy snacks stipend
• Work closely with a cross-functional team of highly motivated folks with a unique range of startup, big enterprise, scientific, engineering, sales & marketing experience
• Vibrant and inclusive company culture with frequent team-building events

We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse team.