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. 

English version will follow

En tant que programmeuse, programmeur Machine Learning, vous travaillerez en collaboration avec les meilleurs systèmes de ML et de données, en construisant les bases de la compréhension des données d'images et de vidéos non structurées.

Ce que vous ferez

  • Rechercher et mettre en œuvre les dernières avancées en matière d'intelligence artificielle centrée sur les données et d'apprentissage par représentation.
  • Construire une infrastructure de ML pour soutenir le déploiement, l'expérimentation et le prototypage.
  • Déployer des modèles sur des ensembles de données d'images et de vidéos à grande échelle dans divers domaines.
  • Collaborer avec une équipe d'ingénieurs, de chercheurs et de scientifiques de classe mondiale.
  • Définir les meilleures pratiques d'ingénierie et la culture d'entreprise au fur et à mesure de notre croissance.

Ce que nous recherchons :

  • Bac (ou plus) en informatique ou dans un domaine connexe, ou expérience équivalente.
  • Plus de 3 ans d'expérience au niveau de la production dans l'un des domaines suivants : Python, Java, C++ ou un langage similaire.
  • Expérience dans la construction et la maintenance de pipelines pour l'entraînement, la surveillance et le service de ML à grande échelle.
  • Expérience dans le développement de modèles d'apprentissage automatique dans des cadres comme PyTorch ou TensorFlow
  • Expérience de travail avec des ensembles de données à grande échelle d'images ou de vidéos
  • Expérience de travail avec des GPU ou d'autres accélérateurs
  • Vous êtes également à l'aise pour travailler sur un tableau blanc, programmer en binôme ou présenter à de petits groupes.
  • Bonne connaissance de SQL

Ce que vous pouvez attendre de nous :

Il s'agit d'un poste hybride basé à Montréal, au Québec.

Le salaire de base annuel estimé pour ce poste se situe entre  $153 000 et $176 000 dollars*.

Chez Coactive, le salaire de base n'est qu'une partie de notre programme de rémunération totale. Les autres avantages liés à ce poste comprennent, entre autres, les suivants

  • Des primes d'équité à la pointe du marché
  • Couverture médicale, dentaire et visuelle à 100 % pour vous
  • Couverture médicale, dentaire et visuelle partielle pour les personnes à votre charge
  • PTO illimité
  • Des événements sociaux allant des clubs de lecture aux soirées de jeux de société et aux parties de Mario Kart, en passant par les « happy hours » et les randonnées.

En outre, vous pouvez vous attendre à ce que nous vous offrions un environnement de travail favorable. Nous construisons des produits, mais nous développons des personnes.

*La rémunération réelle dépend du parcours professionnel, de l'expérience, des compétences et des qualifications du candidat, ainsi que de la demande du marché et des exigences de l'entreprise. Cette fourchette de rémunération est susceptible d'évoluer et d'être modifiée à l'avenir. Les informations relatives au salaire, aux autres rémunérations et aux avantages sociaux sont exactes à la date de publication du présent avis.

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As an AI developer/Machine Learning you will work coactively with the best in ML and data systems, building the foundation for understanding unstructured image and video data.

What you’ll do:

  • Research and implement the cutting edge in data-centric AI and representation learning
  • Build ML infrastructure to scalable support deployment, experimentation and prototyping
  • Deploy models on large-scale image and video datasets across varying domains
  • Collaborate with a world-class team of engineers, researchers, and scientists
  • Shape engineering best practices and company culture as we grow

What we look for:

  • BS (or higher) in Computer Science or related fields, or equivalent experience.
  • 3+ years of production level experience in one of: Python, Java, C++, or similar language
  • Experience with building and maintaining pipelines for large scale ML training, monitoring, and serving
  • Experience developing machine learning models in frameworks like PyTorch or TensorFlow
  • Experience working with large-scale datasets of images or videos
  • Experience working with GPUs or other accelerators
  • Equally comfortable working on a white-board, pair programming, or presenting to small groups
  • Good knowledge of SQL

What you can expect from us:

This is a hybrid position based in Montreal, Quebec

The estimated annual base salary for this position is between $153,000-$176,000.

  • 100% medical, dental & vision coverage for you
  • Medical, dental & vision partially covered for your dependents
  • Unlimited PTO
  • A supportive environment. We build products, but we develop people.
  • Social events ranging from happy hours and hiking to board game nights and games of Mario Kart.

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.

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