The world’s first AI reading coach that works with real books.

Ello

Tech Lead, GenAI & Machine Learning

Tech Lead, Generative AI & Machine Learning

Senior Product Engineer (ML & Mobile)

Product Engineer (ML & Mobile)

Tech Lead, Machine Learning

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Ello seeks a Tech Lead for their GenAI & Machine Learning team.  This role involves leading the architecture design for all ML and GenAI efforts, bridging AI application development with third-party and proprietary models. Responsibilities include overseeing model development and deployment, mentoring team members, setting ML ops standards, building AI-first product development processes, and collaborating with other engineering teams.  The ideal candidate has 5+ years of ML engineering/research experience, 2+ years with GenAI product development, and experience building and scaling ML systems.  Experience with large language models, distributed pipelines, and Kubernetes is crucial. The role requires strong leadership, technical expertise, and a passion for impacting child development.

<div class="_descriptionText_4fqrp_201">Engineering, Full-TimeSan Francisco, CASalary range: $165,000 - $220,000 + EquityAt 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 joiningEllo’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 <a target="_blank" rel="noopener noreferrer nofollow" href="https://arxiv.org/abs/2006.11477">wav2vec</a>. 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 roleAs the Tech Lead on the ML team, you will work closely with the Co-Founder &amp; 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.<ul style="min-height:1.5em"><li>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 state-of-the-art machine learning systems.</li><li>AI Applications: You will lead the charge on bringing best practices to our AI-first product development process. You’ll scale our evaluation infrastructure for applications spanning complex use cases – reading instruction, story generation, and interactive dialogue-based teaching. You’ll design clean programming interfaces and build an internal SDK for our product engineering team.&nbsp;</li></ul>Responsibilities<ul style="min-height:1.5em"><li>Oversee the development and deployment of machine learning models to production environments</li><li>Lead by example, fostering a culture of excellence in architecture, coding, and model development&nbsp;</li><li>Provide guidance, regular feedback, education, and mentoring to other members of the ML team</li><li>Monitor and maintain deployed models and data pipelines</li><li>Independently lead research work streams as part of Ello’s ML team</li><li>Lead collaboration with platform and frontend engineers as well as TPM and data team on data collection, pipeline design, model training, and deployment</li><li>Continuously learn and stay up to date with the latest advancements in AI and machine learning engineering</li></ul>Required Experience<ul style="min-height:1.5em"><li>5+ years of experience as an ML engineer/researcher working with modern Machine Learning toolkits (Python stack, very comfortable with PyTorch)</li><li>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</li><li>3+ years of experience building, scaling, and optimizing ML systems</li><li>Experience setting up ML ops workflows and infrastructure from scratch in a startup environment (ideally in Terraform on AWS)</li><li>Production programming experience on a data-intensive project in distributed infrastructure</li><li>Experience deploying distributed data and training pipelines on Kubernetes</li><li>Experience with large language models</li><li>Experience writing high-performance, parallelized code</li><li>Applied mathematics and linear algebra proficiency at the level at which you can contribute to research discussions with a deeply technical team</li><li>Very accustomed to agile software engineering processes, git flow, etc.</li></ul>Nice to have experience<ul style="min-height:1.5em"><li>Experience with voice AI stacks and audio pipeline development</li><li>Prior experience setting up GPU clusters (e.g. previously set up SLURM, or built multi-cloud model training pipelines with Infrastructure-as-Code)</li><li>Some familiarity with basic full-stack web development workflows and frontend API interaction</li><li>2+ years of experience leading teams developing ML solutions</li><li>On-device systems experience<ul style="min-height:1.5em"><li>An understanding of low-level build pipelines and deployment experience in C/C++ or similar</li><li>Experience working with mobile operating systems and I/O pipelines in resource-constrained environments</li><li>Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization)</li></ul></li><li>Signal processing background</li></ul>We look for candidates who<ul style="min-height:1.5em"><li>Have something to teach us</li><li>Want to do work they are proud of to ship products they are proud of</li><li>Have an urge to make a real impact on child development at scale</li><li>Take initiative and full ownership of their work</li><li>Prefer open and direct communication grounded in empathy to beating around the bush</li><li>Exemplify integrity in their actions, decisions, and communication</li><li>Want to build meaningful relationships at work</li></ul>Here are some reasons to be a part of our team<ul style="min-height:1.5em"><li>Help lead a small but rapidly growing team of A+ engineers in a well-funded company</li><li>Work at the cutting edge of interactive learning and artificial intelligence</li><li>Stay plugged in with the research community while building real-world products</li><li>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</li></ul>A note on immigrationWe 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 ElloEllo 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.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 jackie@ello.com.Compensation Range: $165K - $220K</div>

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As a Distinguished Engineer in Machine Learning for Safety at Roblox, you will lead the technical vision and execution of machine learning initiatives to ensure user safety and civility. You will be responsible for crafting and building large-scale machine learning models, mentoring engineers, and collaborating with cross-functional teams. This role involves making technical decisions, ensuring system reliability, and contributing to a safe and inclusive environment. You will report to the VP of Engineering for Trust and Safety.

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<div class="content-intro">Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.</div>As a Technical Director in the Safety organization at Roblox, you will drive the overall technical vision and execution for all machine learning initiatives focused on maintaining the safety and civility of our users. Our industry-leading safety features ensure Roblox remains a safe and inclusive environment for our community to express themselves creatively and share experiences without fear. The Safety org is the reason why Roblox is the safest place on the internet, protecting users You will be reporting to the VP of Engineering for Trust and Safety.from a content-focused perspective as the platform scales to serve different age groups and geographic locations. <h2>You Will:</h2> <ul> <li>Own the technical direction and implementation of machine learning solutions for safety-related systems</li> <li>Lead and mentor other engineers, fostering a culture of technical excellence and inclusivity</li> <li>Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement</li> <li>Craft and build large-scale machine learning models with billions of parameters, ensuring production-readiness</li> <li>Facilitate challenging technical decisions across multiple teams, demonstrating empathy and finding common understanding</li> <li>Collaborate with cross-functional teams to define and prioritize the machine learning roadmap</li> </ul> <h2>You Have:</h2> <ul> <li>15+ years of experience delivering and improving large-scale machine learning systems</li> <li>Proven expertise in creating and launching machine learning models from scratch</li> <li>Ability to handle data problems, train models with large datasets, and ensure system reliability at scale</li> <li>Experience with distributed systems, data architecture, and model extraction</li> <li>Strong programming skills and willingness to be hands-on as necessary</li> <li>Prior experience in a leadership role with a technical focus, including mentoring engineering teams</li> </ul> <h2>You Are: </h2> <ul> <li>A creative and strategic problem-solver, able to simplify complex issues while integrating fresh ideas</li> <li>Committed to fostering a diverse and inclusive workplace where everyone feels valued and supported</li> <li>Passionate about maintaining deep technical expertise while meeting end-user needs</li> <li>Knowledgeable about cutting-edge ML technologies, including LLMs</li> <li>Experienced in NLP or computer vision (preferred)</li> <li>Familiar with maintaining and evolving safety systems at scale (preferred)</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description">For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits.</div><div class="title">Annual Salary Range</div><div class="pay-range">$391,590—$448,990 USD</div></div></div><div class="content-conclusion">Roles that are based in our San Mateo, CA Headquarters are in-office Tuesday, Wednesday, and Thursday, with optional in-office on Monday and Friday (unless otherwise noted). You’ll Love: <ul> <li>Industry-leading compensation package</li> <li>Excellent medical, dental, and vision coverage</li> <li>A rewarding 401k program</li> <li>Flexible vacation policy (varies by exemption status)</li> <li>Roflex - Flexible and supportive work policy </li> <li>Roblox Admin badge for your avatar</li> <li>At Roblox HQ: </li> <ul> <li>Free catered lunches five times a week and several fully stocked kitchens with unlimited snacks</li> <li>Onsite fitness center and fitness program credit</li> <li>Annual CalTrain Go Pass</li> </ul> </ul> Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 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