Directeur Technique de projet – Énergie, Réseaux électriques
AtkinsRéalis
Senior Manager, Machine Learning Engineering – Conversational AI
Dropbox
full-time
Posted on:
Location: 🇨🇦 Canada
Visit company websiteSalary
💰 CA$219,300 - CA$296,700 per year
Job Level
Senior
About the role
- Lead and develop a high-performing team of engineers, fostering individual ownership, and driving impactful outcomes
- Shape and advance Dash, driving product monetization and revenue generation for Dropbox
- Utilize data and insights to make informed decisions that significantly impact the company
- Foster operational excellence, streamline processes, and eliminate redundancies to ensure team agility
- Cultivate a collaborative culture that embodies Dropbox's values
- Provide strategic direction and proactively anticipate scaling challenges through long-term planning
- Define team’s OKRs and manage the executions
- Work closely with business partners and peer teams for project priorities and requirements
- Manage system operational health, including on-call duties and connections with external gateway partners
- Define the growth paths and opportunities for team members
Requirements
- MS degree or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
- 10+ years of software engineering experience, with at least 5+ years in direct management roles
- Proficient in the latest advancements in ML, NLP, LLM, and GenAI
- Drive and ability to move forward in spite of ambiguity with a bias for action
- Proven expertise in the application of ML techniques to address practical challenges in AI Agents, Chatbots, Search, or Information Retrieval domains
- Strong emphasis on using data-driven insights to guide decision-making, including A/B testing and experimentation
- Proven track record of setting visionary goals and delivering iterative progress
- Exceptional analytical capabilities to optimize solutions in complex and dynamic environments
- Ability to mentor and guide team members to maximize their impact
- Willingness to participate in on-call rotations as part of team responsibilities
- Experience building 0→1 ML consumer facing products (preferred)
