AI Engineer, Mill

• An ideal candidate loves seeking out new problems and devising creative solutions, regardless of technology
• Ideal candidates are also as excited about working on sustainability as we are!
• Bachelor’s or Master’s degree in Computer Science or a related quantitative field (e.g., Data Science, Mathematics, Economics, Physics) with relevant industry experience
• 5+ years of industry experience with Python
• Proficiency in common AI/ML frameworks like PyTorch and HuggingFace Transformers
• Experience with both generative AI (LLMs, SLMs, and VLMs) and traditional computer vision models (YOLO, MobileNet, EfficientNet)
• Experience with prompt-tuning methodologies (logits sampling, RAG) and model fine-tuning techniques (including LORA-based methods for transformers)
• Skill in developing performance benchmarks and establishing best practices for model deployment and monitoring
• Experience with cloud-scale model hosting services, such as AWS Bedrock

Desirable

• As an AI Engineer, you’ll help build and deploy high-quality AI models that set Mill’s products apart. AI models that provide significant value to customers and business partners
• The core of your work will involve creating a valuable market differentiator for the company through intelligent predictions, with a strong focus on both traditional and generative AI, particularly in the field of computer vision
• You will help build out best practices and procedures and influence our growing company’s culture and team
• Investigate and develop a range of AI models, from large-scale online systems to compact, edge-based equivalents
• Collaborate closely with various teams, including firmware and data specialists, to uncover valuable insights from your models
• Work with engineering teams to deploy these models and establish the necessary metrics to effectively monitor their performance across a vast network of thousands of product installations