Head of Machine Learning
3 weeks ago
We are a trailblazer in biomaterials tailored for global sustainability.
We are seeking a visionary Head of Machine Learning to join our team You'll be spearheading the development of our AI/ML strategy and product roadmap in a mission-critical position for the company. Reporting directly to the CEO, this role is akin to a CTO-level position, where you will not only build a robust ML/Data environment from the ground up but also play a critical role in shaping the team, defining the roadmap, and collaborating with the CEO on high-level strategy and board-level reporting. This position demands a senior leader with entrepreneurial experience, ideally someone who has built and scaled ML products at startups or high-growth companies. You will be guiding a small team initially to overcome unique challenges like data scarcity and complex, highly dimensional problem sets. The ideal candidate has a proven track record of launching something unique, whether as a founder, early hire, or someone deeply involved in a product’s inception, demonstrating the creativity and drive needed to push boundaries. If you’re a dynamic leader with both the technical expertise and an entrepreneurial mindset to innovate, we offer the perfect platform to make a transformative impact on the future of sustainable materials and our fight against pollution.
Required Skills & Experience- 8-10+ years of consistent experience working as a Machine Learning Engineer or equivalent
- 3+ years leading, building, developing ML roadmap/strategy and scaling ML teams
- A proven track record of launching AI products
- Strong and confident communication skills
- Experience working in product-based software companies and startups
- Experience building out ML environments from the ground up at high-growth startups
- Past experience as a Founder/Co-founder
- 100% Machine Learning, AI and Data
- 40% Roadmap and strategy
- 30% Leadership, collaboration and mentorship
- 30% Executive level tasks
- Competitive salary
- Benefits
- 4 weeks vacation
- Stock Options
Applicants must be currently authorized to work in Canada on a full-time basis now and in the future.
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