Senior AI Researcher

3 weeks ago


London, Greater London, United Kingdom Encord Full time
About the Role

About Encord: We're a fast-growing startup building the AI infrastructure of the future. Our mission is to empower our customers with high-quality synthetic data to improve their AI models.

We're looking for a talented Research Scientist to join our team and help customers like you get the right data faster, easier, and cheaper.

Key Responsibilities

As a Research Scientist on our team, you'll play a critical role in developing cutting-edge deep learning-based approaches for synthetic data generation, working closely with our customers to understand their data needs and challenges. You'll also be responsible for developing novel ways to condition data generation based on information from our data development platform.

What You'll Do

  • Build, fine-tune, and experiment with deep learning-based approaches for synthetic data generation, including Stable Diffusion and GANs.
  • Develop scalable and novel ways to condition data generation based on information from our data development platform.
  • Stay up-to-date with the latest machine learning research to identify and apply new methods that improve outcomes.
  • Collaborate with our customers to understand their data needs and develop solutions to address their challenges.


Requirements

We're looking for a highly motivated and experienced Research Scientist with a strong background in machine learning and deep learning. You should have a PhD or similar academic background and 2+ years of hands-on experience in synthetic data generation for images or video. You should also be proficient in frameworks like PyTorch, TensorFlow, and JAX, and have excellent communication skills.

What We Offer

We offer a competitive salary, commission, and equity in a high-growth business. You'll also have the opportunity to work on real-world AI use cases across a variety of industry verticals and get hands-on experience with cutting-edge computer vision and deep learning technologies. Our team is collaborative and in-person, with most team members working in the office 3+ days a week.

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