Applied Scientist

The Mission:

As an Applied Scientist, you will be responsible for building machine learning models/systems and innovative web applications that deliver the power of Generative AI to our customers. You will work closely with Researchers, Designers, Product Managers and engineers driving the technical designs and implementations.

Core Responsibilities:

We are looking for a strong Applied Scientist across multiple levels to join our team and help us build innovative Generative AI solutions that deliver the power of Generative AI to our customers. You will be responsible for:

• Developing cutting-edge machine learning and Generative AI models for image, text, audio and video
• Defining the roadmap for generation of various content types including text, image, audio and video enabling us to generate brand-affinitized, hyper-personalized, and safe content.
• Owning the delivery of key business, product and technology initiatives
• Establishing and implementing processes for model training, fine-tuning, testing, and operating the Generative AI models at significant scale.
• Investigation, prototyping and delivering innovative solutions.
• Establishing a data-driven development culture by driving the definition, tracking, and operationalizing of feature, product, and company-level metrics.

Minimum Qualifications:

• Ph.D. in Computer Science, a related field, or equivalent practical experience.
• Specialization in Computer Vision, Natural Language Processing, Generative AI, or Multimodal learning.
• Proficiency in Python or C/C++.
• Proven track record of contributions to the research community, demonstrated through publications in top venues such as CVPR, ICML, ICLR, NeurIPS, etc.
• Have a track record of coming up with new ideas or improving upon existing approaches in machine learning, demonstrated by accomplishments such as first author publications or projects
• Ability to create self-contained, reusable, and testable modules and passionate about prototyping

Preferred Qualifications:

• Prior experience with AzureML, GCP Vertex, AWS Sagemaker or similar platforms
• 2+ years of prior experience designing, building and scaling systems for training, testing, and running Machine Learning models at scale
• Hands-on experience in deploying and tuning Generative AI models
• Experience working at a high-growth startup or tech company