Machine Learning Engineer, Ello

• You will be successful in this role if you like shipping real-world products
• You care about writing good code and building out robust MLops infrastructure across dataset management, experiment tracking, and distributed training infrastructure
• Most importantly, you are excited about the opportunity of making an impact on child development at scale
• Experience with a modern Machine Learning toolkit (Python stack, very comfortable with PyTorch)
• Experience writing high-performance, parallelized code
• Production programming experience on a large-scale project in distributed infrastructure
• Very accustomed to agile software engineering processes, git flow, etc
• Experience deploying distributed data and training pipelines on Kubernetes
• Applied mathematics and linear algebra proficiency at the level at which you can contribute to research discussions with a deeply technical team
• Comfortable with setting up your own infrastructure (ideally in Terraform or on AWS)
• Have something to teach us
• Want to do work they are proud of to ship products they are proud of
• Have an urge to make a real impact on child development at scale
• Take initiative and full ownership of their work
• Prefer open and direct communication grounded in empathy to beating around the bush
• Exemplify integrity in their actions, decisions, and communication
• Want to build meaningful relationships at work

Desirable

• Ello’s 6-person Machine Learning team includes some of the world’s foremost experts in their areas
• We work on a broad range of machine learning problems across NLP/NLU, image generation, and speech perception
• We collaborate closely with advisors from Stanford and top industry research labs (on a weekly basis, not in some hands-off way)
• We work in-person out of our San Francisco office and we’re big believers in face-to-face collaboration
• As a Machine Learning Engineer at Ello, you’ll design and develop state-of-the-art machine learning systems for reading instruction, story generation, and interactive dialogue teaching
• You will work on our long-term product strategy initiatives, reporting directly to the CTO
• You may come from either a research or an engineering background, but overall, you have excellent software engineering skills
• We work on research problems on a development timeline
• Independently lead engineering work streams as part of Ello’s ML team
• Build out dataset management, experiment tracking, and distributed training infrastructure
• Deploy machine learning models to production environments
• Collaborate closely with platform and Unity engineers
• Monitor and maintain deployed models and data pipelines
• Collaborate with TPM and data team on data collection, preprocessing, model training, and deployment
• Continuously learn and stay up to date with the latest advancements