Machine Learning / Data Scientist

Docugami

$120K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 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

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