Lead/Staff Machine Learning Engineer, CloudFactory

• If you’re passionate about innovation, collaboration, and making a real impact, we’d love to have you on board!
• If you are enthusiastic about the opportunity to make a difference in the world while working alongside talented individuals from developing nations, then CloudFactory is the perfect fit for you
• Degree in applied mathematics, statistics, computer science, physics, engineering, a quantitative or computation field. MS or PhD preferred
• 3+ years applying machine learning to practical uses
• Experience working in computer vision
• Fluent in Python and writing production ready code
• Experience with deep learning frameworks such as PyTorch and TensorFlow
• Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks
• End-to-end experience bringing ML models to production or building ML pipelines
• Knowledge of LLMs or generative AI systems, including prompt engineering, fine-tuning, or retrieval-augmented generation (RAG)

Desirable

• We are seeking a highly-skilled and experienced ML Engineer to join our team with demonstrable experience in prototyping, building, and deploying end-to-end computer vision solutions
• As a valued member of the team at CloudFactory, you will play a crucial role in developing and implementing cutting-edge software solutions that enhance our machine learning and core business capabilities
• You will work closely with cross-functional teams to design and build vision AI products and solutions to support automation of annotation, label QA, model training, and more
• In our team, you will be building models that help humans annotate faster with as little data as possible
• You will also work on simplifying the complexities of vision AI for users, so you need very good in-depth knowledge of most computer vision AI techniques
• You would collaborate closely with ML engineers and be able to communicate complex issues clearly to stakeholders from the tech, product, or business teams