Programmeuse, Programmeur MLOps spécialisé dans les bases de données vectorielles et la recherche de similarités
Apply NowCompany: Coactive AI
Location: Montreal, QC H1A 0A1
Description:
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 spcialis dans les bases de donnes vectorielles et la recherche de similarits chez CoactiveAI, vous jouerez un rle crucial dans la conception, la construction et la maintenance de notre infrastructure ML. Vous travaillerez en troite collaboration avec les chercheurs scientifiques, les ingnieurs ML, les ingnieurs logiciels et les gestionnaires de produits pour dployer et surveiller les modles d'apprentissage machine en production. En tant que spcialiste des bases de donnes vectorielles, votre expertise guidera et affinera la faon dont nous utilisons cette technologie dans notre recherche et dveloppement et dans nos offres de produits.
Ce que vous ferez
Ce que nous recherchons
Qualifications prfres :
Exprience avec des outils d'interprtabilit et d'explicabilit de modles.
Veuillez noter que des dplacements priodiques aux tats-Unis sont ncessaires
Ce que vous pouvez attendre de nous :
Il s'agit d'un poste hybride bas Montreal, Quebec
Le salaire de base annuel estim pour ce poste se situe entre *170 000 $ et 200 000 $.
Chez Coactive, le salaire en espces n'est qu'une partie de notre programme de rmunration totale. Les autres avantages lis ce poste sont notamment les suivants
En outre, vous pouvez vous attendre ce que nous vous offrions un environnement de travail favorable. Nous construisons des produits, mais nous dveloppons des personnes.
Rejoignez-nous pour rvolutionner la faon dont les entreprises exploitent la puissance de l'apprentissage automatique pour librer le potentiel des donnes non structures. Si vous tes passionn par l'innovation et l'offre d'expriences client ingales, nous serions ravis de vous compter parmi nous.
*La rmunration relle dpend du parcours professionnel, de l'exprience, des comptences et des qualifications du candidat, ainsi que de la demande du march et des exigences de l'entreprise. Cette fourchette de rmunration est susceptible d'voluer et d'tre modifie l'avenir. Les informations relatives au salaire, aux autres rmunrations et aux avantages sociaux sont exactes la date de publication du prsent avis.
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:
What we're looking for:
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:
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.
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 spcialis dans les bases de donnes vectorielles et la recherche de similarits chez CoactiveAI, vous jouerez un rle crucial dans la conception, la construction et la maintenance de notre infrastructure ML. Vous travaillerez en troite collaboration avec les chercheurs scientifiques, les ingnieurs ML, les ingnieurs logiciels et les gestionnaires de produits pour dployer et surveiller les modles d'apprentissage machine en production. En tant que spcialiste des bases de donnes vectorielles, votre expertise guidera et affinera la faon dont nous utilisons cette technologie dans notre recherche et dveloppement et dans nos offres de produits.
Ce que vous ferez
- Concevoir, mettre en uvre et maintenir des solutions de bases de donnes vectorielles volutives pour prendre en charge les modles d'apprentissage automatiqueAutomatiser le dploiement et la surveillance des modles d'apprentissage automatique.
- Vous serez amen collaborer avec les data scientists et les ingnieurs logiciels pour intgrer les capacits de recherche vectorielle dans les systmes de production.surveiller et amliorer les performances, la fiabilit et l'volutivit des services de recherche vectorielle.
- Vous vous tenez au courant des avances des bases de donnes vectorielles et des mthodologies de recherche de similarits.
Ce que nous recherchons
- Une licence ou une matrise en informatique, en science des donnes ou dans un domaine connexe.
- Plus de 5 ans d'exprience et de matrise des langages de programmation tels que Python, Java ou C++.
- Exprience dans le dploiement et l'exploitation de bases de donnes vectorielles (par exemple, Milvus, Pinecone, pgvector, etc.) en production.
- Familiarit avec les cadres d'apprentissage automatique et les pratiques MLOps.
- Exprience des plateformes cloud telles que AWS, Google Cloud ou Azure.
- Solide comprhension des technologies de conteneurisation et d'orchestration comme Docker et Kubernetes.
- Exprience avec des outils de surveillance tels que Datadog, NewRelic ou similaires.
- Solides comptences en rsolution de problmes et souci du dtail.
Qualifications prfres :
Exprience avec des outils d'interprtabilit et d'explicabilit de modles.
Veuillez noter que des dplacements priodiques aux tats-Unis sont ncessaires
Ce que vous pouvez attendre de nous :
Il s'agit d'un poste hybride bas Montreal, Quebec
Le salaire de base annuel estim pour ce poste se situe entre *170 000 $ et 200 000 $.
Chez Coactive, le salaire en espces n'est qu'une partie de notre programme de rmunration totale. Les autres avantages lis ce poste sont notamment les suivants
- Des primes en actions
- Couverture mdicale, dentaire et visuelle 100 % pour vous
- Couverture mdicale, dentaire et visuelle partielle pour les personnes votre charge
- PTO illimit
- Des vnements sociaux allant des clubs de lecture aux soires de jeux de socit et aux parties de Mario Kart, en passant par les " happy hours " et les randonnes pdestres.
En outre, vous pouvez vous attendre ce que nous vous offrions un environnement de travail favorable. Nous construisons des produits, mais nous dveloppons des personnes.
Rejoignez-nous pour rvolutionner la faon dont les entreprises exploitent la puissance de l'apprentissage automatique pour librer le potentiel des donnes non structures. Si vous tes passionn par l'innovation et l'offre d'expriences client ingales, nous serions ravis de vous compter parmi nous.
*La rmunration relle dpend du parcours professionnel, de l'exprience, des comptences et des qualifications du candidat, ainsi que de la demande du march et des exigences de l'entreprise. Cette fourchette de rmunration est susceptible d'voluer et d'tre modifie l'avenir. Les informations relatives au salaire, aux autres rmunrations et aux avantages sociaux sont exactes la date de publication du prsent avis.
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.