Applied ML Research Scientist

Coactive makes it easy to search, filter, and analyze visual content. Increasingly image and video data captures the content we watch, the products we buy, and the work we do, and already represents 80% of internet traffic. But rather than being an asset, visual content is often a tax or even a liability because it is so hard to work with and understand. Coactive solves this by bringing structure to unstructured visual data. Rather than spending months (or years) building complex infrastructure, data teams can unlock the value of their visual data in minutes to power use cases such as content understanding and moderation, search, and analytics.

Coactive was founded by experts who shaped the fields of high-performance deep learning and data-centric AI. We have the scars from building and working with the first generation of modern machine learning systems at Google, Meta, Pinterest, eBay, Lyft, and other leading organizations. Through our decades of experience, we have developed a playbook to democratize the toughest parts of machine learning systems; no PhD required.

This is an exceptional opportunity to work with one of  Forbes' top 50 AI  companies, backed by key investors such as  Andreesen Horowitz  and  Bessemer Ventures . This position is truly a chance to be part of a category-defining team that is attracting top-tier talent interested in pushing the boundaries of what's possible in AI.

We are seeking an  Applied Machine Learning Research Scientist  to lead research on complex problems in representation learning, multimodal AI, and multi-domain embeddings. The ideal candidate will thrive on solving complex challenges, iteratively developing solutions, and seeing them through the product development lifecycle. Your responsibilities will include :

• Conducting advanced research to drive innovation in representation learning, multimodal AI, and multi-domain embeddings.
• Identifying and solving technically challenging problems with practical, iterative solutions that align with product goals.
• Collaborating with engineering and product teams to design and develop scalable machine learning solutions that integrate seamlessly into Coactive’s platform.
• Leading ideation, experimentation, and implementation efforts to create impactful machine learning solutions.
• Acting as a trusted advisor to team members, mentoring them to enhance their technical skills and foster a collaborative, innovative environment.
• Partnering with clients and stakeholders to develop tailored solutions addressing their specific needs.
• Developing, optimizing, and deploying machine learning solutions to be integrated into production systems.
• Designing and implementing efficient workflows for data analysis, model development, validation, and deployment.
• Presenting research findings and insights to senior leadership and contributing to scientific communities through publications and conferences.

What we look for :

What you can expect from us :

This is a hybrid work environment based in Montreal, Quebec.

The estimated annual base salary ranging between  $, and $, CAD.

At Coactive, cash salary is only one part of our total compensation package. Other benefits for this position include, but are not limited to

Further, you can expect a supportive work environment from us.  We build products, but we develop people.

Join us in revolutionizing how businesses harness the power of machine learning to unlock the potential of unstructured data. If you're passionate about driving innovation, then we'd love to have you on board.

We embrace and celebrate the diversity of our employees. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.