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. It uses evidence-based reading instruction to help them when they get stuck and behavioral psychology to motivate them to keep going. 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.
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 funding round; 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.
Engineering, Full-Time
San Francisco, CA
Salary range: $165,000 - $220,000 + Equity
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 children read out loud. Ello uses speech recognition to help them when they get stuck, makes up stories using generative AI, and inspires a love for reading.
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 all children. Together, we believe we can close the primary school education gap worldwide.
Ello has been recognized on Fortune’s “Change the World” and Time’s 2024 Best Inventions lists. We are well-funded, backed by world-class investors, and ready to recruit new talent to help us 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. 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 multimodal machine learning, NLP, 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 the Tech Lead on the ML team, you will work closely with the Co-Founder & CTO to lead the architecture design for all our ML and GenAI efforts. You will be successful in this role if you have a strong foundational understanding of AI models but ultimately care deeply about turning research outputs into magical real-world product experiences. Most importantly, you are excited about the opportunity to make a real impact on child development at scale.
Your role will bridge AI application development with third-party models and internal ML development leveraging our proprietary models and data.
Responsibilities
Oversee the development and deployment of machine learning models to production environments
Lead by example, fostering a culture of excellence in architecture, coding, and model development
Provide guidance, regular feedback, education, and mentoring to other members of the ML team
Monitor and maintain deployed models and data pipelines
Independently lead research work streams as part of Ello’s ML team
Lead collaboration with platform and frontend engineers as well as TPM and data team on data collection, pipeline design, model training, and deployment
Continuously learn and stay up to date with the latest advancements in AI and machine learning engineering Required Experience
5+ years of experience as an ML engineer/researcher working with modern Machine Learning toolkits (Python stack, very comfortable with PyTorch)
2+ years of experience with GenAI product development (pipeline design, serving, prompt management, fine-tuning, evaluation, etc.), with some evidence shipping real world products using the most recent tools
3+ years of experience building, scaling, and optimizing ML systems
Experience setting up ML ops workflows and infrastructure from scratch in a startup environment (ideally in Terraform on AWS)
Production programming experience on a data-intensive project in distributed infrastructure
Experience deploying distributed data and training pipelines on Kubernetes
Experience with large language models
Experience writing high-performance, parallelized code
Applied mathematics and linear algebra proficiency at the level at which you can contribute to research discussions with a deeply technical team
Very accustomed to agile software engineering processes, git flow, etc. Nice to have experience
Experience with voice AI stacks and audio pipeline development
Prior experience setting up GPU clusters (e.g. previously set up SLURM, or built multi-cloud model training pipelines with Infrastructure-as-Code)
Some familiarity with basic full-stack web development workflows and frontend API interaction
2+ years of experience leading teams developing ML solutions
On-device systems experience
An understanding of low-level build pipelines and deployment experience in C/C++ or similar
Experience working with mobile operating systems and I/O pipelines in resource-constrained environments
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
Help lead 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, H-1B transfers, etc. for Ello employees and retain top immigration counsel.
About Ello
Ello is a public benefit corporation on a mission to maximize the potential of all children. We’re currently around 45 people, headquartered in San Francisco, with offices in São Paulo, Brazil; Nairobi, Kenya; and New York.
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 are funded by world-class investors including Goodwater Capital, Homebrew, Reed Hastings, Common Sense Growth, Ravensburger, Project A Ventures, 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 communities we work in; we place significant emphasis on ensuring diversity in our team and inclusion in our culture.
We feel enormously privileged to be one of the few companies that has the opportunity to take a shot at truly revolutionizing education with AI at this inflection point in technology. We don’t take it for granted, so we work quite hard to turn that vision into reality with urgency. 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.
Apply for the Job: https://jobs.ashbyhq.com/ello/f48bcd43-3847-4a26-9f30-26f0c8a86e35
Our stack spans across various technologies, from custom-built in-house real-time ML models, to our consumer-facing mobile app, to internal infrastructure and tools. An overview of the different parts of our tech stack:
AI/Machine Learning
Custom built child speech recognition model for real-time inference, written in C++
Python libraries for ML prototyping and training (Pytorch, TensorFlow, sklearn, etc.)
Infrastructure running continuous model training & fine tuning on GCP/AWS
Applied state-of-the-art AI foundation models for adaptive applications & generative content Mobile App
Ello mobile app built using Unity (running on iOS/Android/Kindle).
Custom bridging interface connecting Unity app front-end with on-device child speech model & service (ObjC/Swift on iOS and Java/Kotlin on Android) Web Frontend
Customer-facing and internal web portals written in React Backend
NestJS backend using MongoDB
GraphQL API served over Apollo
Full-time
$118K–$160K
Remote
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