Audio Research Scientist

3 weeks ago

London, Greater London, United Kingdom Encord Full time
About Us

At Encord, we're pushing the boundaries of AI infrastructure. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming.

We're a talented and ambitious team of 60, working at the cutting edge of computer vision and deep learning. We're looking for a Research Scientist to help our customers get the right data faster, easier, and cheaper.

The Role

As a Research Scientist focusing on generating synthetic data at Encord, you'll play a critical role in helping customers proliferate their datasets at ease. Although starting narrow with a single domain in mind, you'll progressively work across a variety of industries and domains such as healthcare, geospatial, sports analytics, and surveillance, ensuring that customers can efficiently harness synthetic data to improve their AI models.

You'll follow the latest research, push state-of-the-art technologies forward to empower customers in their data journeys. This role offers a great growth opportunity, with the potential to lead a team of scientists over time in our efforts to provide high-quality synthetic data.

Key Responsibilities
  • Building, fine-tuning, and experimenting with deep learning-based approaches for (conditional) synthetic data generation, like Stable Diffusion and GANs.
  • Developing scalable and novel ways to condition data generation based on information from our data development platform.
  • Following the latest machine learning research to identify and apply new methods that improve outcomes.
  • Working on cutting-edge generative models, starting with text-to-image models and potentially expanding into more domains like video and audio.
Requirements
  • A PhD or similarly strong academic background in machine learning with 2+ years of hands-on experience in synthetic data generation for images or video.
  • Ambitious and self-motivated, with a proven track record of top performance in academic or professional settings.
What We Offer

Competitive salary, commission, and equity in a high-growth business.

A collaborative, in-person culture with most of the team working in the office 3+ days a week.

25 days annual leave + public holidays.

An annual learning and development budget to help you grow your skills.

Company lunches twice a week and regular socials, including bi-annual off-sites.

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