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 - http://www.startuplessonslearned.com/2012/02/hacker-way.html

What you'll do:

• Fine-tune and deploy open source NLP models like Falcon, Whisper, MPT, etc.
• Understand and implement relevant techniques to improve model performance beyond fine-tuning.
• Assist in deploying LLMs based on customer needs.
• Participate in monitoring and improving the performance of models deployed to production.
• Contribute to the writing of well-crafted programs throughout the system. This includes data pipelines, experiment prototypes, scalable deployment models, and evaluation, visualization, and monitoring systems.
• Engage in discussions about architecture and propose solutions to system and product changes.

Skills & Experience:

• Experience in fine-tuning and deploying LLMs (please provide examples of past projects).
• Experience with tools like LangChain, Huggingface Transformers and Weights & Biases.
• Experience with prompt design and implementation.
• Solid understanding of deep learning frameworks like TensorFlow or PyTorch to experiment with Neural nets and Datasets.
• Experience with AWS SageMaker or an equivalent service for training and deploying neural networks.
• Understanding of relevant techniques to improve model performance.

We welcome applications from candidates who are in the process of obtaining their degree or have recently graduated. Past experience with fine-tuning models is crucial. We're looking for someone who has a good understanding of NLP and is excited about the opportunity to apply and grow their skills.

Our current tech stack involves using VueJS, ElectronJs, GraphQL, AWS Amplify