PhD (or equivalent experience) in computer science, mathematics, statistics, electrical engineering, or related fields.
Over five years of experience post-PhD or equivalent industry experience.
Expertise in NLP, machine translation, self-supervised learning, computer vision, and related disciplines.
Programming skills and familiarity with modern ML frameworks.
Demonstrated research excellence through publications in top-level journals and conferences.
Strong problem-solving and self-management skills.
Exceptional communication skills for reporting and disseminating results.
Responsibilities
Propose solutions to complex science problems amidst evolving challenges.
Collaborate with engineering and product leaders to develop a strategic roadmap for scientific advancements.
Integrate and deploy research solutions in collaboration with the engineering team.
Conduct internal science reviews and educational sessions to enhance team knowledge.
Engage with academic partners to stay at the forefront of R&D in the field.
Benefits
Competitive salary with stock options
Healthcare plan
Generous vacation and leave policy
Unlimited in-house healthy snacks & drinks
Opportunity to work with a motivated, cross-functional team
Vibrant company culture with frequent team-building events
Full Job Description
Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for experienced researchers to work with our luminary science advisors 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 and impact millions of users
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:
Proposing solutions to the different science problems in an evolving environment
Collaborating with engineering and product leadership to plan and 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 and educational sessions for the team
Working with our partners in academia to stay at the very forefront of R&D in our space
What we look for in a candidate:
More than five years of experience after completing PhD, or equivalent demonstrable industry experience
PhD (or equivalent experience) in areas like computer science, mathematics, statistics, electrical engineering, or related fields
Deep and up-to-date experience with some of the following: natural language processing (NLP), machine translation, self-supervised learning, active learning, computer vision, statistics, causal inference, and other related disciplines
Programming skills and familiarity of modern ML frameworks
Research track demonstrated by top-level journal and conference publications
Strong problem-solving and self management skills
Passion for technical and scientific excellence
Strong communication skills and capacity to report and disseminate results
Perks:
Competitive salary with stock options
Healthcare plan
Competitive vacation and leave policy
Unlimited in-house healthy snacks & drinks
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
