Tech Lead GenAI Machine Learning
Tech Lead GenAI Machine Learning
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$ 165000 - 220000
1 Vacancy
Job Description
Engineering FullTime
San Francisco CA
Salary range: $165000 $220000 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.
Were now building on the success of Read with Ello and putting together the pieces of the worlds first complete AI teacher for all children. Together we believe we can close the primary school education gap worldwide.
Ello has been recognized on Fortunes Change the World and Times 2024 Best Inventions lists. We are wellfunded backed by worldclass investors and ready to recruit new talent to help us achieve our vision.
Who youll be joining
Ellos 5person Machine Learning team includes some of the worlds foremost experts in their areas. To give one example our speech perception efforts are led by the coauthors of wav2vec. At Ello theyve built the worlds 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 handsoff way). We work inperson out of our San Francisco office and were big believers in facetoface collaboration.
About the role
As the Tech Lead on the ML team you will work closely with the CoFounder & 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 realworld 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 thirdparty models and internal ML development leveraging our proprietary models and data.
Machine learning: You should have foundational knowledge in ML. You will oversee MLops in collaboration with our Platform team and set good standards for your colleagues on critical design questions around dataset management experiment tracking and distributed training infrastructure. You will also get into the weeds as an IC and implement stateoftheart machine learning systems.
AI Applications: You will lead the charge on bringing best practices to our AIfirst product development process. Youll scale our evaluation infrastructure for applications spanning complex use cases reading instruction story generation and interactive dialoguebased teaching. Youll design clean programming interfaces and build an internal SDK for our product engineering team.
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 Ellos 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 finetuning 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 dataintensive project in distributed infrastructure
Experience deploying distributed data and training pipelines on Kubernetes
Experience with large language models
Experience writing highperformance 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 multicloud model training pipelines with InfrastructureasCode)
Some familiarity with basic fullstack web development workflows and frontend API interaction
2 years of experience leading teams developing ML solutions
Ondevice systems experience
An understanding of lowlevel build pipelines and deployment experience in C/C or similar
Experience working with mobile operating systems and I/O pipelines in resourceconstrained environments
Experience with optimizing neural networks to perform well on lowpower 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 wellfunded company
Work at the cutting edge of interactive learning and artificial intelligence
Stay plugged in with the research community while building realworld products
Do meaningful work supporting child development that you can witness firsthand during inoffice playtests. Make an edit in your jupyter notebook this week deploy it ondevice in C next week and watch it bring smiles to kids faces a day later
A note on immigration
We dont 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 O1 visas H1B 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. Were currently around 45 people headquartered in San Francisco with offices in So Paulo Brazil; Nairobi Kenya; and New York.
Our team has deep expertise in artificial intelligence K12 education and child development across institutions such as Stanford Berkeley Google Apple and more. We were part of Y Combinators W20 batch and are funded by worldclass investors including Goodwater Capital Homebrew Reed Hastings Common Sense Growth Ravensburger Project A Ventures Reach Capital Khosla Ventures WndrCo Visible Ventures and K9 Ventures.
Were a small collaborative team that takes each others 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 dont 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 were proud of and we believe its 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 please reach out to
Required Experience:
Staff IC
Employment Type
Full-Time
