Mill is looking to prevent waste, starting with food waste, by building AI models that provide significant value to customers and business partners, creating a market differentiator through intelligent predictions.
Requirements
- 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.
- Experience with edge AI/ML frameworks and runtimes (QNN, llama.cpp).
Responsibilities
- 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.
Other
- 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!
- The estimated base salary range for this position is $175k to $225k, which does not include the value of benefits or a potential equity grant.
- A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.
- At Mill, it is not typical for an individual to be hired at or near the top of the range for their role.
