🛠 Tech Stack

💼 About This Role

You'll design and productionize agentic AI frameworks powering Dropbox Dash's universal search. You'll lead end-to-end ML systems, from fine-tuning to production monitoring, and collaborate across teams to deliver transformative AI capabilities at scale.

🎯 What You'll Do

• Design and productionize agentic AI frameworks with multi-agent coordination and planning.
• Lead end-to-end design of ML systems from fine-tuning to inference optimization.
• Establish rigorous safety, alignment, and evaluation frameworks.
• Collaborate across Product, Design, Infra, and Frontend teams.
• Mentor junior engineers and contribute to AI strategy.

📋 Requirements

• BS/MS/PhD in CS or related field or equivalent work experience.
• 8+ years software engineering, with 5+ years in production-scale AI/ML systems.
• Professional experience in ML modeling for Search, Ranking, or Recommender Systems.
• Deep familiarity with LLM architectures and hands-on experience with ML libraries like PyTorch, JAX.
• Strong proficiency in Python and experience with systems languages like Go or C/C++.

✨ Nice to Have

• PhD with focus on Deep Learning, NLP, or Reinforcement Learning.
• Proven track record of taking AI products from concept to launch at massive scale.
• Hands-on experience with autonomous agent frameworks, multi-step planning, tool-use, and advanced RAG.

🎁 Benefits & Perks

• 💰 Competitive compensation with Canada pay range $205,700-$278,300 CAD.
• 🏖️ Flexible remote work within Canada.
• 📈 Equity and comprehensive benefits package.
• 🏆 Career growth with Engineering Career Framework.
• 🤝 Collaborative team culture with mentorship opportunities.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Phone Interview· 60 min
3. 3On-site Interview Loop· 4 hours

🚩 Heads Up

• Role requires on-call rotations for all engineers on the team.
• Extensive list of requirements (8+ years, 5+ years AI/ML, multiple languages and frameworks).