AI Workflow Optimization Specialist
6 days ago
We are seeking a highly skilled Senior Software Engineer to join our Artifacts, Registry, and Automations Team at Coatue Management L.L.C. as part of our mission to revolutionize machine learning workflows.
About UsAt Coatue Management L.L.C., we empower top-tier machine learning teams with innovative tools that drive success. Our clients include OpenAI, Toyota Research Institute, Lyft, Samsung, and Pandora, who rely on our solutions for their daily work.
Your RoleYou will play a crucial role in building and optimizing systems that power artifact management, model versioning, and workflow automation. As a key member of our team, your contributions will enhance our core artifact handling codebase, driving scalable solutions for managing the entire ML lifecycle – from creation and tracking to deployment.
Responsibilities- Innovate & Impact: Design, develop, and maintain high-performance features for our flagship products, ensuring scalable and efficient management of ML workflows and model lifecycle tracking.
- Lead the Charge: Spearhead the development of cutting-edge tools that enable seamless model integration, versioning, and deployment in production environments.
- Collaborate & Create: Work hand-in-hand with product managers, engineering teams, and customers to build robust infrastructure that tackles real-world ML challenges head-on.
- Mentor & Inspire: Contribute to code reviews, provide technical leadership in discussions, and mentor junior engineers to uphold our commitment to coding excellence and best practices.
- User-Centric Development: Champion a user-first approach by integrating customer feedback into product improvements that deliver measurable value.
- A minimum of 4+ years of experience in software engineering.
- Strong software engineering fundamentals and knowledge of at least 1 modern programming language (Python, Go, Typescript, GraphQL, etc).
- Strong empathy for ML practitioners with a keen interest in understanding and addressing their challenges.
- A desire to be self-driven and find the path to greatest impact.
- Nice to have: experience working with ML Engineers and building tools to allow them to easily connect with their compute.
- Competitive salary ($250k - $350k) and equity package.
- Flexible time off and remote work options.
- Medical, Dental, and Vision coverage for employees and family members.
- Home office budget and new high-powered laptop.
- Ongoing professional development opportunities.
- Diverse and inclusive work environment.
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