Posted 6 months ago

We have 5 open Positions

We are in the process of building a world-class team focused on Machine Learning & Data Science and
have an established track record of innovation and delivery at the very frontiers of NLU. We build
high-end technology that fulfills Bartleby’s mission to help students learn and write better.
We have a talented, multi-disciplinary team of ML Practitioners, Data Scientists, and Engineers based out
of Bangalore, India, and are looking to expand in each of these areas.
While we can customize the precise role and designation for the ideal candidate, here is a summary of
the kind of work you will be tasked with:

  1. Machine Learning
    a. Build an ongoing understanding of current state-of-the-art NLU architectures, methods,
    and processes, and innovate networks that create actionable intelligence from text.
    b. Understand different media types (images, audio, video, etc.) and build networks that
    extract information and meaning from these media.
    c. Create networks that curate (and/or generate) media (text today, everything else
    tomorrow). Understand the problems that go into building these networks and innovate
    solutions to mitigate these problems.
    d. Understand patterns in time-series (and other) data, and create networks that evolve as
    these patterns do, using SOTA reinforcement learning techniques, Bayesian networks,
    and other methods

e. Build search and recommendation systems based not just on media but on context and
meaning.

  1. Data Science
    a. Build a deep understanding of usage patterns and patterns in language.
    b. Provide statistical input and solutions to help product teams make better decisions.
    c. Help understand, clean, and generate datasets for networks. Help interpret network
    outputs and make them comprehensible to people outside the team.
    d. Report on customer trends and deployment performance, and identify areas that we can
    target using ML/Data Science solutions.
  2. Engineering:
    a. This role requires a thorough understanding of core computer engineering and
    computer science and is not limited to programming, database administration, or
    engineering the cloud. You will be called on to do all of these. For us, full-stack really
    means full-stack.
    b. Define and help build the APIs our various products use to deliver ML-based solutions to
    customers.
    c. Understand and decimate engineering challenges that stand in the way of optimal
    speeds and reliability across all our deployments.
    d. A deep understanding of algorithms and first principles in computing is helpful for this
    area of focus.
    We offer the chance to specialize in any of these broad areas and understand the challenges of and work
    in areas that are not your core focus. Experienced candidates (and freshers) from any technical or
    academic field are welcome at all levels of seniority. We value your innovation, commitment to learning,
    and work ethic above all else and will invest the time to bring the right people up to scratch.
    Our experience in building and deploying cutting-edge ML has taught us to help people transfer their
    skills from other areas into core-ML; so long as you are focused, self-driven, and committed to a career
    in ML&AI in any capacity (Engineer, Practitioner, or Researcher), we may be looking for you

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