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.
Joignez-vous à Coactive AI en tant que stagiaire en vision par ordinateur et contribuez au développement d'algorithmes avancés utilisant des modèles d'intégration de fondations. Il s'agit d'une opportunité passionnante pour les étudiants ou les jeunes diplômés passionnés par l'apprentissage automatique, la vision par ordinateur et la recherche de pointe en IA. Le poste est d'une durée de trois mois, au cours desquels vous acquerrez une expérience pratique et serez exposé à des systèmes d'IA évolutifs.
Ce que vous ferez :
- Développement d'algorithmes
- Concevoir et mettre en œuvre des algorithmes avancés sur la base de modèles intégrés, en se concentrant sur des projets de validation de principe et des analyses exploratoires.
- Développer et affiner les notebooks Jupyter pour démontrer et prototyper de nouvelles idées.
- Effectuer des analyses de données et des évaluations numériques pour soutenir les améliorations algorithmiques.
- Collaboration et exposition
- Travaillez avec une équipe internationale interfonctionnelle située à Montréal, San Jose et en Colombie.
- Acquérir des connaissances sur les systèmes de production évolutifs et le développement d'algorithmes de bout en bout.
- Collaborer étroitement avec les ingénieurs et les chercheurs pour aligner les projets sur les objectifs de l'organisation.
- Compétences et qualifications :
Ce que nous recherchons :
- Formation en informatique, ingénierie, mathématiques ou dans des domaines connexes.
- Maîtrise de Python et expérience avec des frameworks tels que PyTorch, NumPy et Scikit-learn.
- De solides bases en analyse numérique et en traitement des données.
- Expérience pratique des algorithmes d'apprentissage automatique et des flux de travail.
- Capacité à travailler de manière indépendante et en collaboration dans un environnement en constante évolution.
De préférence :
- Familiarité avec le développement et le débogage des carnets Jupyter.
- Compréhension de base des systèmes de production et des flux de travail des pipelines.
- Solides compétences en communication et approche proactive de la résolution de problèmes.
Ce que vous gagnerez :
- Une expérience pratique du travail avec des modèles d'intégration de fondations et de la recherche de pointe en matière d'IA.
- Exposition à des systèmes de production évolutifs et au processus de développement d'algorithmes pour des applications réelles.
- des possibilités de collaboration avec une équipe internationale diversifiée d'experts dans le domaine.
Ce poste est à pourvoir immédiatement, et non en mai ou cet été.
Nous accueillons les candidatures des diplômés de premier cycle ainsi que des étudiants en cours de master, à condition qu’ils disposent d’une expérience pratique démontrée dans le domaine de l’apprentissage automatique.
Ce que vous pouvez attendre de nous :
Il s'agit d'un poste hybride basé à Montréal, Québec.
Rémunération : 24 $ à 29 $ l'heure, selon l'expérience.*
*Ce taux est basé sur un salaire annuel estimé entre 50 000 $ et 60 000 $ CAD pour un horaire à temps plein (40 heures par semaine). Les heures peuvent varier en fonction de votre statut d'étudiant et de votre disponibilité.
Join Coactive AI as a Computer Vision Intern and contribute to the development of advanced algorithms leveraging foundation model embeddings. This is an exciting opportunity for students or recent graduates passionate about machine learning, computer vision, and cutting-edge AI research. The position is for a period of 3 months, during which you will gain hands-on experience and exposure to scalable AI systems.
What you’ll do:
- Algorithm Development
- Design and implement advanced algorithms on top of foundation model embeddings, focusing on proof-of-concept (PoC) projects and exploratory analyses.
- Develop and refine Jupyter notebooks to demonstrate and prototype new ideas.
- Perform data analysis and numerical evaluations to support algorithmic improvements.
- Collaboration and Exposure
- Work with an international cross-functional team located in Montreal, San Jose, and Colombia.
- Gain insights into scalable production systems and the end-to-end development of algorithms.
- Collaborate closely with engineers and researchers to align projects with organizational goals.
What we look for:
- Educational background in computer science, engineering, mathematics, or related fields.
- Proficiency in Python and experience with frameworks like PyTorch, NumPy, and Scikit-learn.
- Strong foundation in numerical analysis and data processing.
- Hands-on experience with machine learning algorithms and workflows.
- Ability to work independently and collaboratively in a fast-paced environment.
Preferred Qualifications:
- Familiarity with developing and debugging Jupyter notebooks.
- Basic understanding of production-grade systems and pipeline workflows.
- Strong communication skills and a proactive approach to problem-solving.
What You'll Gain:
- Hands-on experience working with foundation model embeddings and cutting-edge AI research.
- Exposure to scalable production systems and the process of algorithm development for real-world applications.
- Collaboration opportunities with a diverse, international team of experts in the field.
This position is available immediately and not for May or the summer.
We welcome applications from undergraduate graduates as well as current master’s students, provided they have demonstrated hands-on experience in the field of machine learning.
What you can expect from us:
This is a hybrid position based in Montreal, Québec.
Compensation: $24–$29 per hour, depending on experience.*
*This rate is based on an estimated annual salary range of $50,000–$60,000 CAD for a full-time schedule (40 hours per week). Hours may vary depending on your student status and availability.
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.
What We Do
At Coactive AI, we are empowering data practitioners and data-driven teams to unlock insights in unstructured image and video data. This visual data increasingly captures everyday life from our online experiences on e-commerce sites and social media to guiding the cars we drive and monitoring the plants we eat. By 2021, unstructured visual data will be more than 82% of all internet traffic. We make this unstructured visual data useful by bringing it into the world of SQL and the big data tools that teams already love.
