Sr. AI Researcher

Remote (UK/Taiwan)

Full time

Salary £70,000 - £90,000 (UK)

NT$1,900,000 - 3,000,000 (TW), or other locations based on the local living cost

Stock options: 0.02% - 0.05% Equity

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What you'll be doing

  • Get paid to work on open-source projects
  • Work closely with co-founders to develop innovative ML/AI techniques and discover simple, generalisable research agenda that improves the company’s products and unifies the entire team 
  • Reproduce and improve state-of-the-art AI algorithms using deep learning frameworks (e.g., PyTorch, TensorFlow, ONNX and TensorRT) and integrate them with our MLOps workflow
  • Research upstream interventions at the level of training data, data preparation, model training/evaluation and experiment tracking and work with downstream product and infrastructure teams to build effective MLOps features for model deployment and monitoring, etc., and integrate ML systems into data pipelines
  • Stay up-to-date with bleeding-edge deterministic AI and generative AI research, and share paper insights with the team
  • Work alongside product managers, frontend engineers, product designers and other engineers to deliver high-quality, complex ML/AI features on the roadmap
  • Ensure the delivery of high-quality software and documentation

Things we'd love to see

  • Have a track record of generating new ideas or improving existing ideas in ML/AI, demonstrated by accomplishments such as first-author publications in top-tier CV/ML/AI/NLP conferences or journals
  • Possess the ability to independently own and pursue a research agenda, autonomously carrying out projects that can have long-term benefits for Instill AI’s products
  • Profoundly understand the mainstream deep learning architectures (e.g., ConvNet and Transformer) and techniques (e.g., distilling, transfer learning)
  • Have extensive experience implementing ML/AI algorithms using frameworks like PyTorch, TensorFlow, ONNX and TensorRT. Additional experience in training LLMs is a huge plus
  • Have a strong curiosity about exploring and learning the latest SOTA ML/AI technologies, coupled with the ability to effectively share knowledge with others 
  • Comfortable working in a fast-paced, agile startup environment, experience in robust and frequent releases
  • Excellent communication and document writing skills
  • Open-source practices/contributions
  • Be customer and data obsessed and take ownership of the details
  • Proactive, self-learning, and self-aware
  • Intellectual curiosity, always asking "how can we improve?"
  • A strong desire to build world-class products