We are looking for an Engineering Manager to lead our AI Platform team. Our AI Platform team builds innovative software systems to power the Snorkel Flow platform. This includes services to train and serve generative AI and machine learning models using novel data-centric techniques, libraries to support AI workflows for a variety of data modalities and task types, core training data management technologies, and more.
The AI platform roadmap includes introducing and maturing existing AI use cases (such as document intelligence), scale recently launched capabilities to GA (such as image classification) and keep the team motivated and in focus to our goal of improving labeling quality for our customers.
As the Engineering Manager for this team, you will lead, develop and grow a team of talented engineers to meet Snorkel AI’s growth goals. You will work cross functionally with other engineering teams to extend platform capabilities and deliver new AI workflows, with product management and customers to deeply understand and build for user needs, with applied research to develop novel AI techniques, and with GTM partners to help us market, sell and support Snorkel AI offerings to help customers be successful.
Primary responsibilities
- Manage, develop, and grow a talented team of AI engineers
- Deliver AI systems capabilities to enable new workflows in the Snorkel Flow platform
- the architecture, design, development, and operations of large-scale data-focused AI systems and interactive product workflows
- Collaborate with product management, field team members, and customers to understand product use cases, desired capabilities, scaling requirements, and more
- Actively contribute to Snorkel’s engineering culture through mentorship, open communication, user empathy, advocacy of strong engineering practices, and more
Preferred qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A PhD is a plus.
- Proven experience in deploying machine learning models and AI solutions in production environments.
- Strong hands-on experience with AI/ML technologies and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Demonstrated experience in leading and managing AI engineering teams.
- Solid understanding of ML pipelines, data engineering, and cloud-based AI services (e.g., AWS, Google Cloud, Azure).
- Excellent problem-solving skills and the ability to troubleshoot complex AI-related issues.
- Strong communication and interpersonal skills, with the ability to articulate technical concepts to non-technical stakeholders.
- Experience with agile methodologies and project management tools.
- Experience at high-growth technology startups is a plus!
#LI-HS1
