Principal Machine Learning Engineer at Toast is a top-tier remote engineering role building ML systems powering restaurant technology. You'll earn $160k–$200k/yr designing and deploying ML models and infrastructure — an elite position for seasoned ML engineers seeking remote work, premium compensation, and the opportunity to impact a rapidly growing restaurant tech market.
You'll architect and develop ML systems and models supporting Toast's product roadmap and customer needs, lead ML projects from concept through deployment, including data pipeline design and model evaluation, collaborate with product, data, and engineering teams to translate business requirements into ML solutions, mentor junior engineers and contribute to ML best practices and tooling across the organization, and stay current on ML research and emerging techniques.
You need 7+ years of machine learning or AI engineering experience with proven track record of deploying production ML systems, strong expertise in ML frameworks and tools (TensorFlow, PyTorch, etc.), deep understanding of data engineering and infrastructure, and excellent communication and leadership skills. A master's or PhD in computer science, machine learning, or related field is common but not always required — your demonstrated ML engineering excellence and portfolio of production systems are your core qualifications.
