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 which leverage the massive 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. We are backed by world-class investors, just closed a Series A, and we’re ready to bring on new talent to help achieve our vision.
Who you’ll be joining
Ello’s 5-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. This model 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.
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. 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.
About the role
As a Machine Learning Research Engineer at Ello, you will work on our long-term product strategy initiatives, reporting directly to the CTO. You’ll design and develop state-of-the-art machine learning systems for reading instruction, story generation, and interactive dialogue teaching.
You should have a strong background in applied mathematics, optimization, machine learning, and software development. We work on research problems on a development timeline. You will be successful in this role if you are enough of a scientist able to tackle problems creatively and enough of an engineer to produce production ready C++ code or architect large distributed data pipelines. You may come from either a research or an engineering background, but overall, you have excellent software engineering skills.
Most importantly, you are excited about the opportunity of making an impact on child development at scale.
Independently lead research work streams as part of Ello’s ML team
Deploy machine learning models to production environments
Collaborate closely platform and Unity engineers
Monitor and maintain deployed models and data pipelines
Collaborate with TPM and data team on of 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)
Linear Algebra proficiency
Experience writing high-performance, parallelized code
Production programming experience on a large-scale project, either in distributed infrastructure or on-device deployment in C/C++ or similar, possibly both
Very accustomed to agile software engineering processes, git flow, etc.
Nice to have experience
Comfortable with setting up your own infrastructure (ideally in Terraform or on AWS)
Experience deploying distributed data and training pipelines on Kubernetes
Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization)
Some familiarity with basic full stack web development workflows and frontend API interaction
Signal processing background
Experience working with mobile operating systems and I/O pipelines in resource-constrained environments
Experience with / excitement for generative models
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.
Prefer open and direct communication grounded in empathy to beating around the bush.
Want to build meaningful relationships at work.
Take the initiative and take full ownership of their work.
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. Ello’s founders have dedicated their careers to pioneering innovation in child development and artificial intelligence. We were part of Y Combinator’s W20 batch and have recently closed a funding Series A; previously announced investors include leading US and European VCs including Project A Ventures, Reach Capital, Khosla Ventures, Homebrew, WndrCo, Human Capital 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 – we believe it’s possible to do both.