Backed by top VCs and is defining a new product category, we are also trusted by top Fortune 500 firms to be the primary Data Engineering platform as they transition from legacy ETL products to the cloud and apache Spark.

We are a Core Technology and Deep-IP company with an international engineering team. Our environment is high performing, challenging, and fun!

Position Summary

Work on a next-generation product that will change the way that people are processing their data. Leverage your ML-skills and put them to good use, to directly shape the future of the data engineering space & craft a brand new experience for our users.

Own the development of the state of the art ML infrastructure. Work with us on the product and technical roadmap. Evaluate the latest ML technologies and come up with the proposals to evolve them.

We are only seeking A players to work in our high-growth startup with other A-players. We pride ourselves on making complex technology more accessible, while solving difficult technical problems.

This is a once-in-a-lifetime opportunity to revolutionize the way data engineering is done. Come and join us - become a part of it!

The impact you will have

Design/Develop/Deliver:

End-to-End Ownership. ML Engineers at own, design, develop, and deliver end-to-end products for our next-generation ML-enabled product.

Overachiever:

We encourage and give environments to engineers to overachieve their own limits. Set up your own metrics and improve them iteratively. You are expected to autonomously figure out the solutions to the challenges, while being supportive to your teammates.

Entrepreneurial skills

Own the features end to end as a founder/ceo from the requirement to delivery. We don’t believe in hierarchy or the number of years of experience. Put yourself in the shoes of the user, be curious, and willing to learn, work in a supportive environment and create the best product & experience. Manage your own career growth.

Requirements

What You'll Need

7+ years of hands-on machine learning experience
4+ years of experience in building products using Natural Language Processing or Sequence Modeling.
Relevant pertinence with experience in developing code generation machine learning products (e.g. trained large language models similar to Codex) or worked on text-to-sql problems
Built end-to-end semantic information extractions systems
Developed and delivered question-answering models and products
Built knowledge graphs or done data modeling using graph databases like Neo4j, Dgraph, Neptune, etc
Built architectures from concept to production for real-time ML-enabled products
Solid foundation in data structures, algorithms and software design with strong analytical and debugging skills
Comfort in working in short, agile, iterative development cycles
Entrepreneurial spirit, priding yourself on getting things done with a high level of quality
Being end-product and design conscious - you will be crafting a complete user experience (customer obsession)
Strong desire to work in a self-driven, flat hierarchy and fast-moving startup environment
B.Tech or above degree in Computer Science or equivalent

Preferred Qualifications

Experience with OpenAI, GPT-3, Davinci or done prompt engineering for those models
Experience working with big-data data processing engines, e.g. Spark
Experience with designing compilers for general-purpose programming languages like SQL, Python or Scala
Post Graduation in Computer Science, Mathematics or a related field or other evidence of the ability to do independent, innovative research
Ability to assess new technologies and make pragmatic recommendations

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