Machine Learning Engineer
At Ello, our mission is to maximize the potential of all children. Our first product (Read with Ello) is an AI reading teacher that listens to a child read from real books. We’re now building on the success of Read with Ello and putting together the pieces of the world’s first complete AI teacher for children. We’re a highly technical team building delightful learner-centered experiences that leverage the most recent advances in AI. Our products put children on a path of lifelong learning, creating the foundation for their future and ours. Together, we believe we can close literacy and educational gaps around the world.
Who you’ll be joining
Ello’s 6-person Machine Learning team includes some of the world’s foremost experts in their areas. To give one example, our speech perception efforts are led by the co-authors of wav2vec. At Ello, they’ve built the world’s best child speech recognition system, beating Whisper. That ability to understand child speech reliably enables us to unlock the power of generative AI tools for early childhood learning. 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.
About the role
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. 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.
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
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)
Nice to have experience
Experience with / excitement for generative models
Some familiarity with basic full stack web development workflows and frontend API interaction
On-device systems experience
Experience working with mobile operating systems and I/O pipelines in resource-constrained environments
On-device deployment in C/C++ or similar
Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization)
Signal processing background
We look for candidates who
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
Here are some reasons to be a part of our team
Join a small but rapidly growing team of A+ engineers in a well-funded company
Work at the cutting edge of interactive learning and artificial intelligence
Stay plugged in with the research community while building real-world products
Do meaningful work supporting child development that you can witness firsthand during in-office playtests. Make an edit in your jupyter notebook this week, deploy it on-device in C++ next week, and watch it bring smiles to kids’ faces a day later
A note on immigration
We don’t shy away from sponsoring US visas and green card petitions. Our CTO and CEO have each gone through their own immigration journeys and are familiar with the challenges. We have successfully secured O-1 visas for Ello employees and retain top immigration counsel.
Ello is a public benefit corporation on a mission to maximize the potential of all children.
Our team has deep expertise in artificial intelligence, K-12 education, and child development across institutions such as Stanford, Berkeley, Google, Apple, and more. We were part of Y Combinator’s W20 batch and have recently closed a $15M series A led by Goodwater Capital, with major participation from Homebrew (returning investors), Reed Hastings, Common Sense Growth, and Ravensburger. This adds to existing funding led by Project A Ventures with additional investors including Reach Capital, Khosla Ventures, WndrCo, Visible Ventures, and K9 Ventures.
We’re a small, collaborative team that takes each other’s voices very seriously. Because our mission is to support all children, it is critical that our team is representative of the wider community; we place significant emphasis on ensuring diversity in our team and inclusion in our culture.
We want to create an environment in which we can all be our best selves, use our strengths to take Ello forward, and develop our own skills. We want to have fun while working hard to do impactful things that we’re proud of – and we believe it’s possible to do both.
At Ello, we view diversity as a moral imperative and a competitive advantage. We do not discriminate on the basis of race, religion, skin color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We plan and structure our interviews to directly assess skills and experience. If you need any accommodations throughout the interview process, reach out to your recruiter.