Job details

Programmeuse, Programmeur MLOps spécialisé dans les bases de données vectorielles et la recherche de similarités

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 programmeuse, programmeur ML Ops spécialisé dans les bases de données vectorielles et la recherche de similarités chez CoactiveAI, vous jouerez un rôle crucial dans la conception, la construction et la maintenance de notre infrastructure ML. Vous travaillerez en étroite collaboration avec les chercheurs scientifiques, les ingénieurs ML, les ingénieurs logiciels et les gestionnaires de produits pour déployer et surveiller les modèles d'apprentissage machine en production. En tant que spécialiste des bases de données vectorielles, votre expertise guidera et affinera la façon dont nous utilisons cette technologie dans notre recherche et développement et dans nos offres de produits.

Ce que vous ferez

Concevoir, mettre en œuvre et maintenir des solutions de bases de données vectorielles évolutives pour prendre en charge les modèles d'apprentissage automatiqueAutomatiser le déploiement et la surveillance des modèles d'apprentissage automatique.
Vous serez amené à collaborer avec les data scientists et les ingénieurs logiciels pour intégrer les capacités de recherche vectorielle dans les systèmes de production.surveiller et améliorer les performances, la fiabilité et l'évolutivité des services de recherche vectorielle.
Vous vous tenez au courant des avancées des bases de données vectorielles et des méthodologies de recherche de similarités.

Ce que nous recherchons

Une licence ou une maîtrise en informatique, en science des données ou dans un domaine connexe.
Plus de 5 ans d'expérience et de maîtrise des langages de programmation tels que Python, Java ou C++.
Expérience dans le déploiement et l'exploitation de bases de données vectorielles (par exemple, Milvus, Pinecone, pgvector, etc.) en production.
Familiarité avec les cadres d'apprentissage automatique et les pratiques MLOps.
Expérience des plateformes cloud telles que AWS, Google Cloud ou Azure.
Solide compréhension des technologies de conteneurisation et d'orchestration comme Docker et Kubernetes.
Expérience avec des outils de surveillance tels que Datadog, NewRelic ou similaires.
Solides compétences en résolution de problèmes et souci du détail.

Qualifications préférées :

Expérience avec des outils d'interprétabilité et d'explicabilité de modèles.

Veuillez noter que des déplacements périodiques aux États-Unis sont nécessaires

Ce que vous pouvez attendre de nous :

Il s'agit d'un poste hybride basé à Montreal, Quebec

Le salaire de base annuel estimé pour ce poste se situe entre *170 000 $ et 200 000 $.

Chez Coactive, le salaire en espèces n'est qu'une partie de notre programme de rémunération totale. Les autres avantages liés à ce poste sont notamment les suivants

Des primes en actions
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 pédestres.

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.

Rejoignez-nous pour révolutionner la façon dont les entreprises exploitent la puissance de l'apprentissage automatique pour libérer le potentiel des données non structurées. Si vous êtes passionné par l'innovation et l'offre d'expériences client inégalées, nous serions ravis de vous compter parmi nous.

*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 ML Ops Engineer with Vector Databases and Similarity Search Specialization at CoactiveAI, you will play a crucial role in designing, building, and maintaining our ML infrastructure. You will work closely with Research Scientists, ML Engineers, Software Engineers, and Product Managers to deploy and monitor machine learning models in production. As a specialist in the area of vector databases, your expertise will guide and refine how we leverage this technology in our research and development and in our product offerings.

What you’ll do:

Design, implement, and maintain scalable vector database solutions to support machine learning models.
Automate the deployment and monitoring of ML models.
Collaborate with data scientists and software engineers to integrate vector search capabilities into production systems.
Monitor and enhance the performance, reliability, and scalability of vector search services.
Stay updated with advancements in vector databases and similarity search methodologies.

What we're looking for:

Bachelor's or Master’s degree in Computer Science, Data Science or a related field.
5+ years of experience and profiency in programming languages such as Python, Java or C++
Experience deploying and operating vector databases (e.g., Milvus, Pinecone, pgvector, etc.) in production.
Familiarity with machine learning frameworks and MLOps practices.
Experience with cloud platforms such as AWS, Google Cloud, or Azure.
Solid understanding of containerization and orchestration technologies like Docker and Kubernetes.
Experience with monitoring tools like Datadog, NewRelic, or similar.
Strong problem-solving skills and attention to detail.

Preferred Qualifications:

Experience with model interpretability and explainability tools.

Please note that periodic travel to the United States is required

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 *$170,000- $200,000.

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

Equity grants
100% medical, dental, & vision coverage for you
Medical, dental, & vision partially covered for your dependents
Unlimited PTO
Social events ranging from book clubs, happy hours, and hiking to board game nights and games of Mario Kart.

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 and delivering unparalleled customer experiences, 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.

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What You Should Know About Programmeuse, Programmeur MLOps spécialisé dans les bases de données vectorielles et la recherche de similarités, Coactive AI

Step into an exciting new opportunity as a Programmeuse, Programmeur MLOps specializing in vector databases and similarity search at CoactiveAI in Montreal, Quebec. At Coactive, we are revolutionizing how the world interacts with visual content, enabling efficient search and analysis using state-of-the-art machine learning technology. As part of our dynamic team, you will play a pivotal role in designing and maintaining our ML infrastructure, working collaboratively with data scientists, ML engineers, and product managers to bring cutting-edge models into production. Your knowledge of vector databases will be crucial in guiding our research and development efforts, allowing us to shape innovative applications for our clients. Imagine automating the deployment of ML models and enhancing the performance of vector search services seamlessly. CoactiveAI offers a hybrid working environment that supports your growth and well-being, with a competitive salary range of $170,000 to $200,000 and comprehensive benefits, including unlimited PTO, social events, and full medical coverage. This is your chance to be part of a company recognized by Forbes as one of the top 50 AI companies and make a meaningful impact in the world of machine learning. Join us in transforming the future of data utilization!

Frequently Asked Questions (FAQs) for Programmeuse, Programmeur MLOps spécialisé dans les bases de données vectorielles et la recherche de similarités Role at Coactive AI

What does a Programmeuse, Programmeur MLOps at CoactiveAI do?

At CoactiveAI, a Programmeuse, Programmeur MLOps is responsible for designing, implementing, and maintaining efficient ML infrastructure, focusing on vector database solutions and similarity search methodologies. This role involves collaborating closely with researchers and engineers to deploy machine learning models seamlessly into production while monitoring their performance and reliability.