Full Stack Engineer, 2+ years of AI-experience
AI x Search x Editing x Share = Video, voices, and thoughts generated in collaboration with AI
Manan AI was founded by Ph.D. CEO and consists of AI and digital media professionals with Stanford, Facebook, Google background, advised by the ex-partner of top-tear Silicon Valley VC. We build a strategic framework for the impact of disruption content, empower creators with applications of synthetic media AI-generators. All video and voice creation will be done via generative methods as decentralized Bloomberg & Hollywood on your mobile and laptop and can be used to make your creative content or interactive games, videos, virtual personas, movies, and immersive experiences. We imply cutting-edge ML/AI for S2T NLP, summarization, semantic search, speech recognition, language translation, NER, and synthetic media generation. A collaborative fiction with GPT2-3 (Open AI), Facebook AI to explore our common creator's humanity. Target: B2B, B2C, Entertainment, Marketing & Customer Service, Advertising, Security, and Privacy for Deep Fake.
We are a team of amazing millennial entrepreneurs, developers, and AI scientists that are working on solving the task of AI x Search x Editing x Share = Video, voices, and thoughts generated in collaboration with AI. We are looking for a full-time Full Stack Engineer who has 2-3 years of AI experience.
We work with data from a wide variety of sources including text, voice, news feeds, twits & stories, user behavior, and real-time data. The team has several US professors as senior advisors with world-class expertise in machine learning, statistics, optimization, and stochastic control who provide advice and mentorship for all members of the distributed team, research and development experience in real-world NLU/P, conversational AI, chatbots, dialog management, search, or voice/dialog systems. Your contributions will drive content discovery and personalization through voice/video/search/summary interactions across mobile apps, third-party devices (e.g. Alexa, Google Home, Roku, etc.), and automotive products.
Why Join Us:
We are a fully distributed team with a New York HQ. Flexible work with flexible schedule possible
You get to work on turning bleeding-edge research for generating voice and videos, deep fakes into commercial products
We support a growth mindset, perks include paper publications and mentorship, internships from top researchers in the field
Open to candidates internationally, No-micromanagement environment for highly self-sufficient individuals
Powerful workstation with GPUs
Responsibilities and what we are looking for:
Build Great AI-Products and prototype new ideas. You must be very good at interpreting customer requests, translating them into a great user experience, and implementing them in code
Tackle Challenging Problems. ML algorithms are often not designed to run in real-time and require unique runtime environments. You must have experience with cloud-based service-oriented asynchronous systems. You must also understand how to bridge the gap between asynchronous algorithms and synchronous user interactions with web and mobile applications
Prototype New Features. This means rapidly building prototypes end-to-end, including storage, business logic, and user experience.
Productize Exciting Research. You should be able to understand the constraints and requirements of algorithms and participate in productizing them. Our team includes engineers developing new ML-algorithms
R&D in voice conversion and speech synthesis, text summarization. Read, understand and implement research papers. Assemble prototypes and MVP. Compress models and optimize inference
Initial work could be done remotely with daily Zoom standups with full team and in-person meetings
Preferably you would be located and work in our New York, NY office
You are located anywhere. You speak and write English (B2+) is a must
Write effective, scalable, extensible, and testable code - Working with back-end development and server-side engineering
You have a very good understanding of modern container-based microservices architecture and experience building it from scratch
You conceptually understand how deep-learning models work and how they are trained.
Computer Science degree with 1-2 years of work AI experience, 2-3 years in backend software development
1+ years in frontend development with React.js and Redux, HTML, CSS. Experience with API development
Unit testing and debugging skills. Experience working on production web applications
Familiarity with AWS or another cloud infrastructure provider (GCP, Azure, etc)
Excellent written and verbal communication skills, ability to collaborate effectively with non-tech team members and stakeholders
Good Python skills, and Advanced knowledge of Flask, RESTful APIs, GraphQL. To be strong in implementation, training, and debugging of Pytorch models. Experience working with SQL databases, optimizing queries, improving performance. Ability to read modern research papers. Knowledge of GIT or other VCS. Solid knowledge of data structure and algorithms. Experience in ASR, TTS, Voice/Text/Video conversion etc
Our Tech Stack:
PyTorch and Tensorflow wrapped in Flask and running in a Kubernetes cluster
Flutter, Node.js with TypeScript running on Firebase Functions and Google Cloud Storage
Great Libraries and Frameworks: NLTK, PyBrain, Caffe, NumPy, SciPy, Pandas, Matplotlib, Keras