Supernormal | Machine Learning Engineer | New York, NY | United States | BigDataKB.com | 2023-01-15

Job Location: New York, NY

Job Detail:
About The Role

Join a small and mighty team of engineers at Supernormal working on pulling the future of work closer to the present. Each engineer here is responsible for saving people thousands of hours of manual work every month, and weโ€™re just getting warmed up.

As a machine learning engineer, youโ€™ll focus on building and improving the AI stack powering Supernormalโ€™s productivity suite. Youโ€™ll work closely with our product engineers and designers to evolve the AI along with the product.

What youโ€™ll work on

  • Prompt engineering using state-of-the-art techniques to improve the core meeting assistant scenarios
  • Fine tuning, assessing, and deploying large language models
  • Developing and improving business and product metrics driven by the quality and cost of AI usage
  • Designing, training and deploying custom machine learning models to augment the AI stack, e.g. to manage transcript quality, compress text without losing semantic meaning, remove defects, incorporate semi-structured data

Requirements

What weโ€™ll expect of you

  • You have a strong working background in machine learning, NLP, and large language models
  • A collaborative and open outlook โ€” weโ€™re all about lifting each other up and getting better every day. You should be, too.
  • A willingness to get deep into a problem even when it seems impossible. Youโ€™ll always have support from the team.
  • Confidence operating with high agency. Weโ€™ll work together to decide whatโ€™s important, but weโ€™d love for you to bring (and build!) your own ideas.
  • Youโ€™ll leave โ€œit works on my machineโ€ at the door. You know better than to trust computers.
  • Youโ€™ll come in willing to learn why things are the way they are, then suggest a better way.
  • Youโ€™ll understand that thereโ€™s no difference between โ€œmy codeโ€ and โ€œtheir code.โ€ Itโ€™s our code and weโ€™re all responsible for it.
  • Youโ€™ll approach code review through a โ€œhow can the team level up?โ€ lens โ€” letโ€™s all get better, together.

What you can expect from us

  • The teamโ€™s full support. Weโ€™re a friendly bunch and are happy to pair, talk through, or otherwise assist any time.
  • Honest and timely feedback. Weโ€™re all better when we can have candid conversations about what is and isnโ€™t working.
  • A deep willingness to listen to your ideas: how can the codebase, our product, or team be better?
  • A respect for your time outside of work. We all work hard here, but we never forget to rest and have fun.

Benefits

Competitive salary

Stock options

Full healthcare coverage (Medical, Dental, and Vision)

Flexible hybrid working model

WFH budget to make sure you have everything you need to do your best work

โœˆ๏ธ Annual team-wide offsite to someplace cool

Education credit (up to $500 per year)

Unlimited PTO (minimum 4 weeks)




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