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Staff Applied Scientist (Machine Learning)

Rokt · Austin, United States

External listingfull-time4 days ago

About The Role

Join Rokt, a leading technology company, as a Staff Applied Scientist in the Rokt Brain team. In this role, you will lead applied research, experimentation, and model development projects to improve complex systems powering over 10 billion transactions per year. You will have the opportunity to grow your career, own the research and development of machine learning systems, and collaborate with product and engineering teams. Rokt offers a range of benefits, including generous PTO, employee equity options, health and wellness benefits, and a hybrid workplace.

  • Lead applied research, experimentation, and model development projects to improve complex systems powering transactions.
  • Own the research, design, development, testing, deployment, and maintenance of machine learning systems and services at Rokt.
  • Act as technical and project leader of a small team of specialists, providing leadership on complex technical issues and setting standards for technical excellence.
  • 10+ years of industry experience building production-grade ML systems
  • PhD or equivalent experience in Computer Science, Statistics, Mathematics, or related field with specialization in ML, AI, or Information Retrieval, and experience leading PhD level scientists/engineers on projects
  • ML for Ads, E-commerce, or Two-Sided Marketplaces
  • Deep Learning Architectures e.g MMoE, PLE, DCN, Transformers, Graph Neural Networks
  • Bayesian Modelling & Probabilistic Methods
  • Reinforcement Learning (Contextual Bandits, Policy Optimization)
  • Price & Revenue Optimisation
  • Model Optimisation (quantisation, distributed training, GPU optimisation, JIT compilation, mixed precision, inference optimisation)
  • Representation Learning & Embeddings
  • Knowledge Distillation
  • If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team

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