About the position
We are looking for Deep Learning Research Engineers to join our core team. You’ll be working on problems related to generative models and synthetic media in the domains of videos and audio.
What will you be working on?
Your work will revolve around topics of GANs, video generation, and few-shot learning, applied to the topics of human face generation, animation generation, lip-sync and voice cloning. You will be expected to keep up with the research in the domain, plan and execute implementations and experiments, and build and deploy applications to production. As one of the initial members of the team, you’ll have a significant say in the product and culture decisions of the company.
Who are we looking for
- Ability to generate and execute research ideas. Comfortable with reading papers and turning papers into code.
- Deep knowledge of the latest models, techniques, and innovations in machine learning.
- Proficiency with Deep Learning libraries like PyTorch or Tensorflow.
- Experience with Computer Vision and GANs is a huge plus.
- Previous start-up experience (ex-Founder) is a big plus.
- Professional qualification is not a mandate for us, you can be a full-time employee/student/graduates/PhD scholar.
What’s in for you
- Generous stock options: Joining the core team has its own perks, you will be getting a larger share of our stock options being one of the first joiners.
- Competitive compensation: We believe in fair market level competency, even being an early-stage startup, the pay will be really competitive as per the current market.
- Ownership & Problems to Solve: You will have a say in every tech decision, you can find yourself solving hard global-scale problems which companies like Microsoft, NVIDIA, and Meta are solving. Generating a complete movie scene using AI is our all-time goal as of now.
- Research Team: Lead role in establishing a research team in the company. You no more need to be an academician to set up labs and work with peers, we tend to drive it at our Dreamscale AI Lab.