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. 

En tant que développeuse/développeur AI/Machine Learning, vous jouerez un rôle clé dans la production d'algorithmes de pointe qui constituent la base de la compréhension des données d'images et de vidéos non structurées. Ce poste combine une solide expertise en ingénierie logicielle avec des connaissances fondamentales en apprentissage automatique et en algèbre linéaire, offrant ainsi l'opportunité de collaborer avec une équipe dynamique à la pointe de l'innovation.

Ce que vous ferez :

• Concevoir, construire et maintenir des logiciels et des systèmes de haute qualité pour soutenir les inférences sur les données d'images et de vidéos à grande échelle.
• Collaborer avec des équipes interfonctionnelles d'ingénieurs, de chercheurs et de scientifiques pour prototyper et déployer des solutions de manière itérative et efficace.
• Construire et maintenir des parties du service d'apprentissage automatique
• Tirez parti de votre compréhension de l'algèbre linéaire et des principes fondamentaux de l'apprentissage automatique pour construire des systèmes intuitifs et efficaces.
• Définir les meilleures pratiques d'ingénierie et contribuer à la croissance d'une culture d'ingénierie de classe mondiale.

Ce que nous recherchons :

• Baccalauréat (ou plus) en informatique, en génie logiciel ou dans un domaine connexe, ou expérience pratique équivalente.
• Plus de 3 ans d'expérience au niveau de la production dans un ou plusieurs langages de programmation tels que Python, Go, Java ou C++. Préférence pour Python
• Solides compétences en génie logiciel et en résolution de problèmes, axées sur la construction de systèmes évolutifs et faciles à entretenir.
• Une solide compréhension de l'algèbre linéaire et une compréhension intuitive des principes de l'apprentissage automatique.
• Une expérience de travail avec des frameworks comme PyTorch ou TensorFlow est un plus mais n'est pas nécessaire.
• Compétence dans la construction et la maintenance de pipelines pour le traitement des données et le déploiement de modèles.
• Connaissance de SQL et expérience de travail avec des ensembles de données à grande échelle.
• Capacité à collaborer efficacement, qu'il s'agisse de brainstorming sur un tableau blanc, de programmation en binôme ou de présentation d'idées à de petits groupes.

Ce que vous pouvez attendre de nous :

• Un environnement de travail hybride basé à Montréal, au Québec.
• L'occasion de travailler sur des projets de pointe avec une équipe d'ingénieurs et de chercheurs de classe mondiale.
• Un salaire de base annuel se situant entre 153 000 $ et 176 000 $ CAD.

As an AI developer/Machine Learning, you will play a key role in productionizing cutting edge algorithms that form the foundation for understanding unstructured image and video data. This role combines strong software engineering expertise with foundational knowledge in machine learning and linear algebra, providing an opportunity to collaborate with a dynamic team at the forefront of innovation.

What you’ll do:

• Design, build, and maintain high-quality software and systems to support inferences on large-scale image and video data.
• Collaborate with cross-functional teams of engineers, researchers, and scientists to prototype and deploy solutions iteratively and effectively.
• Build and maintain parts of the Machine Learning Service
• Leverage your understanding of linear algebra and machine learning fundamentals to build intuitive and efficient systems.
• Shape engineering best practices and contribute to the growth of a world-class engineering culture.

What we look for:

• Bachelor’s degree (or higher) in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 3+ years of production-level experience in one or more programming languages such as Python, Go, Java, or C++. Python is preferred.
• Strong software engineering and problem-solving skills, with a focus on building scalable and maintainable systems.
• A solid understanding of linear algebra and an intuitive grasp of machine learning principles.
• Experience working with frameworks like PyTorch or TensorFlow is a plus but not required.
• Proficiency in building and maintaining pipelines for data processing and model deployment.
• Knowledge of SQL and experience working with large-scale datasets.
• Ability to collaborate effectively, whether brainstorming on a whiteboard, pair programming, or presenting ideas to small groups.

What you can expect from us:

• A hybrid work environment based in Montreal, Quebec.
• The opportunity to work on cutting-edge projects with a team of world-class engineers and researchers.
• An annual base salary between $153,000 and $176,000 CAD*.

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.

*Actual pay is dependent on an individual candidate’s professional background, experience, skills and qualifications, as well as market demand and business demands. This pay range is subject to change and may be modified in the future. The salary, other compensation, and benefits information is accurate as of the date of this posting.

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.