Second brain for knowledge workers

Deep Learning Engineer (Founding team) at Synth

$27k - $36k / 0.25% - 0.50%
Remote / Remote
Job Type
Any (new grads ok)
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Suneel Matham
Suneel Matham

About the role

What we are looking for:

  • You will be the first deep learning engineer on the team—you'll work directly with the co-founders and significantly influence and drive the direction and culture of the company
  • You know when to move fast with a bias for action, and when to slow things down with a more considered process
  • You are curious, have a lot of ideas about the future of learning and work and can communicate your reasoning clearly
  • Have a passion for the interdisciplinary problem that we are solving and are product-driven. Our product roadmap has features that are large with open-ended scope
  • Can deconstruct tricky problems and work towards a simple solution, by yourself or collaboratively with teammates and are comfortable asking for help when you get stuck
  • Are left to autonomously figure out the solutions to their challenges
  • Enjoy being a generalist and is naturally curious and willing to take a step to learn something you don’t have experience in while building the product
  • Feel a great sense of accountability to each other and are open to ambiguity

What you'll do:

  • Design, train and deploy NLP models using speech and text data while understanding customer needs (including data collection and curation)
  • Monitor and improve performance of models deployed to production
  • Write well-crafted programs at all levels of the system. This includes human-in-the-loop data pipelines, experiment prototypes, fast and scalable deployment models, and evaluation, visualization and monitoring systems
  • Promote excellence and best practices in regards to research, implementation, tooling, and system design
  • Prototype ideas rapidly using cutting edge technologies, drive architecture discussions, and propose solutions to system and product changes

Skills & Experience (You would get straight up to speed on day one if you have)

  • 2+ years of experience in building products based on NLP (we are happy to waive the experience criteria if you feel you are exceptional, educational qualification is no bar)
  • Strong exposure to at least 1-2 state of the art NLP algorithms e.g GPT, BERT, T5, RoBERTa etc.
  • Solid understanding of deep learning frameworks like TensorFlow and PyTorch to experiment with Neural nets and Datasets
  • Proficient with AWS Sagemaker or an equivalent service to train and deploy neural nets
  • Skilled in using Docker to manage different environments and run open-source containers

Bonus Points:

  • Experience with deep reinforcement learning models
  • You enjoy going through the research papers to get inspired from research papers by translating them to code using the above tools
  • If you mention some of your failures in your CV/Resume

Why you should join Synth

Synth is building a second brain for knowledge workers.

Your colleague told you about this awesome idea, you came across an amazing article but were too meh to read it, there was an important whatsapp conversation that you felt you could just always remember it. Well your personal information is scattered all around on the internet and on different apps. Where is that relevant piece of information when you need it the most, you check your various apps, search your browsing history, your downloads folder, sighs, you can't find it.

Well our brain was never meant for storing so much information and more so remembering it.

Hence, we are building an app that captures and summarizes all the relevant information you consume - text, audio, video in 1-click. The app makes it easy to search and retrieve the information you want, wherever you like. Our vision is to augment human intelligence for seamless understanding and recall of any information, to make fast decisions and is driven by the ideas of pioneers in computing. We call it the mind for the mind.

Our product is in private beta right now and was among Top5 Products of the Day on Product Hunt

and we are backed by Y Combinator.

Our spirit of doing things is the hacker way -