Staff Machine Learning Engineer
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This range is provided by Ello. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $165,000.00/yr - $220,000.00/yr
San Francisco, CA
Salary range: $165,000 - $220,000 + Equity
Ello's 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 aloud, using speech recognition, generative AI for storytelling, and inspiring a love for reading.
We are now building the world's first complete AI teacher for children, aiming to close the primary education gap globally. Recognized on Fortune’s “Change the World” and Time’s 2024 Best Inventions, Ello is well-funded and backed by top investors.
Who You’ll Be Joining Our 5-person Machine Learning team includes experts like the co-authors of wav2vec, leading child speech recognition systems. We work on multimodal ML, NLP, image generation, and speech perception, collaborating with Stanford advisors and industry research labs. We value face-to-face collaboration in our San Francisco office.
About The Role As Tech Lead, you will work closely with the Co-Founder & CTO to design architecture for ML and GenAI efforts. You should have a strong AI foundation and a passion for transforming research into impactful products that benefit child development at scale. Your role will connect AI application development with third-party models and proprietary data.
Oversee ML model deployment and development
Lead by example, fostering excellence in architecture, coding, and research
Mentor team members and provide feedback
Maintain deployed models and data pipelines
Lead research streams within Ello’s ML team
Collaborate with engineering, TPM, and data teams on data collection, training, and deployment
Stay updated with AI and ML advancements
Required Experience 5+ years in ML engineering/research with Python and PyTorch
2+ years in GenAI product development, shipping real products
3+ years in building and scaling ML systems
Experience establishing ML ops workflows, preferably on AWS with Terraform
Proficiency in distributed data and training pipelines, Kubernetes, large language models, high-performance coding, and applied math
Nice To Have Experience with voice AI and audio pipelines
GPU cluster setup and multi-cloud training pipelines
Full-stack web development and frontend API experience
Leadership in ML teams, on-device systems, low-level deployment skills, and signal processing background
What We Look For Innovative mindset and willingness to teach
Pride in work and impact on child development
Ownership and initiative
Open, empathetic communication and integrity
Desire to build meaningful relationships
Why Join Us Lead a talented, growing team in a well-funded company
Work at the forefront of AI and interactive learning
Engage with research while building products
Support child development with tangible, impactful work
Additional Notes Ello sponsors US visas and green cards, with experience in securing O-1 and H-1B visas. We value diversity and inclusion, ensuring an equitable process and accommodations if needed.
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- Location:
- San Francisco, CA, United States
- Salary:
- $250,000 +
- Category:
- Engineering