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Remote Machine Learning Engineer New Grad Jobs in Quebec

Tecsys Inc.

Senior Developer (AI / ML)

Montreal, QC · On-site +1

Having recognized the advantages of remote work, including employee morale, productivity, reduced ... semi-supervized Machine Learning solutions. You know Statistical Models, Optimization and ...

TailorCare

Master's or PhD in a quantitative field (computer science, statistics, machine learning, operations ... Production ML engineering: model packaging, deployment, monitoring, drift detection, and retraining ...

Aylo Careers

Legal Counsel

Montreal, QC · On-site +1

... while remote team members play an integral role in shaping our dynamic culture from afar. We have ... machine learning) and internet law. * Support product, commercial, and strategic initiatives by ...

Aylo Careers

Sr. Legal Counsel

Montreal, QC · On-site +1

... while remote team members play an integral role in shaping our dynamic culture from afar. We have ... machine learning) and internet law. * Support product, commercial, and strategic initiatives by ...

GCM Consultants inc.

We are always on the lookout for new projects that push the boundaries of creativity. On a daily ... Program PLCs, human-machine interfaces (HMI), distributed control systems (DCS) and security ...

GCM Consultants inc.

We are always on the lookout for new projects that push the boundaries of creativity. On a daily ... Program PLCs, human-machine interfaces (HMI), distributed control systems (DCS) and security ...

GCM Consultants inc.

We are always on the lookout for new projects that push the boundaries of creativity. On a daily ... Program PLCs, human-machine interfaces (HMI), distributed control systems (DCS) and security ...

GCM Consultants inc.

Remote, hybrid, or office? Contribute to ambitious projects We are all passionate about ... Every mandate brings a new challenge, and every solution is an opportunity for innovation. Why ...

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Remote Machine Learning Engineer New Grad information

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer New Grad, and why are they important?

To excel as a Remote Machine Learning Engineer New Grad, you need a solid grounding in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree. Familiarity with programming languages like Python, machine learning libraries (e.g., TensorFlow, PyTorch), and experience using version control systems such as Git are essential. Strong problem-solving skills, effective communication, and the ability to work independently are standout soft skills for this remote role. These skills ensure you can develop robust ML models, collaborate efficiently with distributed teams, and deliver impactful solutions in a dynamic environment.

What does a Remote Machine Learning Engineer New Grad do?

A Remote Machine Learning Engineer New Grad is an entry-level professional who designs, builds, and deploys machine learning models while working from a remote location. Their responsibilities typically include preprocessing data, developing algorithms, and collaborating with other team members through digital tools. As a new graduate, they often focus on learning industry best practices, writing code, testing models, and updating existing systems. Strong programming skills, problem-solving ability, and communication are essential for success in this role.

What are some common challenges faced by new graduates starting as remote machine learning engineers, and how can they overcome them?

As a new graduate starting remotely as a machine learning engineer, one common challenge is effectively collaborating with team members and mentors when you can't interact in person. You may also face difficulties in accessing large datasets or compute resources, which can slow down experimentation. To overcome these challenges, it's important to communicate proactively using team channels, schedule regular check-ins with your mentor, and familiarize yourself with your company's remote infrastructure and support systems. Building a habit of documenting your work and asking for feedback early can also accelerate your learning and integration into the team.
What cities in Quebec are hiring for Remote Machine Learning Engineer New Grad jobs? Cities in Quebec with the most Remote Machine Learning Engineer New Grad job openings:
Remote Machine Learning Engineer New Grad jobs near you

Full Stack Software Developer - Misinformation Mitigation

Mila - Institut quebecois d'intelligence artificielle

Montreal, QC • On-site, Remote

Temporary

Posted 6 days ago

Job description

Temporary position until November 26th 2026

About Mila  

Founded by Professor Yoshua Bengio of the Universite de Montreal, Mila brings together researchers specializing in artificial intelligence, and more specifically in machine learning, deep learning and reinforcement learning. Recognized worldwide for its important contributions to the field of deep learning, Mila has particularly distinguished itself in language modeling, machine translation, object recognition and generative models. Since 2017, Mila has been the fruit of a collaboration between Universite de Montreal and McGill University, in close collaboration with Polytechnique Montreal and HEC Montreal. 

Mila's mission is to be a global hub of scientific advances that inspires innovation and the rise of artificial intelligence (AI) for the benefit of all.

Job description

Misinformation is a critical societal challenge, especially as we enter the generative AI era. As part of the Complex Data Lab's Misinformation Mitigation team, the candidate will lead development of misinformation mitigation systems. They will work with professors Reihaneh Rabbany and Jean-Francois Godbout, lead researcher Dorsaf Sallami, and numerous others on the team (15+ researchers), taking approaches developed in our research towards real world testing and actualization. 

In this role, the candidate will act primarily as a software engineer, playing a key role in maintaining, scaling, and improving  a web app that uses our AI systems to help users better evaluate information veracity. This platform helps users assess uncertain or potentially misleading information, use LLMs and other AI tools to evaluate the input and collect evidence, then provide the user with that evaluation in an understandable and practical form. The developer will maintain, extend, and improve the existing backend and frontend systems and deployment infrastructure that support the web application and related tools, including browser extension. These systems will be tested in societally important contexts like upcoming elections, and improved upon, with the eventual aim of mitigating misinformation at scale and greatly helping people make more informed judgments.

Main responsibilities

  • Design, implement,  maintain, and scale the backend systems powering the platform, combining research results and deployment-ready frameworks.
  • Own backend infrastructure and deployment workflows, including GCP, PostgreSQL, environment configuration, and production reliability.
  • Support and improve existing frontend deployments and integrations.
  • Maintain data pipelines and storage. Advise on overall design, such as feasibility and efficacy of different approaches, cost estimates, and alternatives where needed.
  • Advise student researchers on best practices and help with experiments that demand substantial engineering.

Requirements

Required qualifications

  • BSc degree in Computer Science or a related field
  • 5+ years of experience building large-scale software and web applications
  • Strong experience with web development frameworks like Next.js, CSS, HTML5, etc.
  • Strong LLMOps skills
  • Solid knowledge of Python
  • Database management experience (e.g., Mongo)
  • Experience with threading and concurrency
  • Experience with containerization
  • Experience with testing and version control
  • Experience with APIs, web services and RESTFul conventions.
  • Proficient English (our team includes numerous international collaborators and English is the lingua franca)

Preferred qualifications

  • Experience with closed-source LLM APIs (especially OpenAI; others a bonus)
  • Experience deploying open and closed-source LLMs
  • Experience with vector databases and RAG
  • Proficiency with web scraping 
  • Experience with GCPor other leading cloud platforms
  • Experience developing browser extensions for popular web browsers

Benefits

  • Be surrounded by experts in their field, passionate and exciting people
  • Stimulating workplace, with the possibility of interacting with Mila's researchers
  • Competitive salary
  • Maintain a work/life balance with our flexible working hours
  • Located at the heart of Little Italy, in the trendy Mile-Ex neighborhood
  • Flexibility on preferred working style (remote and hybrid options available)

We want to know you 

At Mila, diversity is important to us. We value a work environment that is fair, open and respectful of differences. We encourage anyone who wants to work in an ecosystem that is constantly evolving and stimulated to contribute to the application and definition of a healthy and inclusive culture, to apply. Please note that only selected candidates will be contacted.

*******

Developpeur.se logiciel, Mitigation de la desinformation

Poste temporaire jusqu'au 26 novembre 2026

A propos de Mila 

Fonde par le professeur Yoshua Bengio de l'Universite de Montreal, Mila rassemble des chercheurs specialises en intelligence artificielle et plus precisement en apprentissage automatique, apprentissage profond et apprentissage par renforcement. Reconnu mondialement pour ses importantes contributions au domaine de l'apprentissage profond, Mila s'est particulierement distingue dans la modelisation du langage, la traduction automatique, la reconnaissance d'objets et les modeles generatifs. Depuis 2017, Mila est le fruit d'une collaboration entre l'Universite de Montreal et l'Universite McGill, en lien etroit avec Polytechnique Montreal et HEC Montreal. 

Mila s'est donne pour mission d'etre un pole mondial d'avancees scientifiques qui inspire l'innovation et l'essor de l'intelligence artificielle (IA) au benefice de tous.

Job description

La desinformation est un defi societal critique, particulierement a l'ere de l'IA generative. Au sein de l'equipe d'attenuation de la desinformation du Complex Data Lab, la personne retenue dirigera le developpement de systemes d'attenuation de la desinformation. Elle travaillera avec les membres du corps professoral Reihaneh Rabbany et Jean-Francois Godbout, la chercheuse principale Dorsaf Sallami, ainsi que de nombreuxeuses autres partenaires au sein de l'equipe (plus de 15 specialistes de la recherche), afin de passer des approches developpees en recherche aux tests et a l'actualisation en contexte reel.

Dans ce role, la personne agira principalement en tant que specialiste en genie logiciel, jouant un role cle dans la maintenance, la mise a l'echelle et l'amelioration d'une application Web qui utilise nos systemes d'IA pour aider les usagers et usageres a mieux evaluer la veracite de l'information. Cette plateforme aide le public a evaluer des informations incertaines ou potentiellement trompeuses, a utiliser des modeles de langage (LLM) et d'autres outils d'IA pour evaluer les donnees et recueillir des preuves, puis a fournir cette evaluation sous une forme comprehensible et pratique. La personne responsable du developpement assurera la maintenance, l'extension et l'amelioration des systemes existants de l'arriere-plan (backend), de l'interface (frontend) et de l'infrastructure de deploiement qui soutiennent l'application Web et les outils connexes, y compris une extension de navigateur. Ces systemes seront testes dans des contextes societaux d'importance, comme les elections a venir, et seront ameliores dans le but ultime d'attenuer la desinformation a grande echelle et d'aider grandement la population a porter des jugements plus eclaires.

Responsabilites principales

  • Concevoir, mettre en uvre, assurer la maintenance et mettre a l'echelle les systemes de l'arriere-plan (backend) propulsant la plateforme, en combinant les resultats de recherche et les cadres de travail prets pour le deploiement.
  • Prendre la responsabilite de l'infrastructure de l'arriere-plan et des flux de travail de deploiement, incluant GCP, PostgreSQL, la configuration de l'environnement et la fiabilite de la production.
  • Soutenir et ameliorer les deploiements et les integrations de l'interface (frontend) existants.
  • Assurer la maintenance des pipelines de donnees et du stockage. Conseiller sur la conception globale, notamment sur la faisabilite et l'efficacite des differentes approches, les estimations de couts et les solutions de rechange au besoin.
  • Conseiller les etudiantes chercheures sur les meilleures pratiques et aider a la realisation d'experiences exigeant une ingenierie substantielle.

Qualifications requises

  • Diplome de baccalaureat en informatique ou dans un domaine connexe.
  • Plus de 5 ans d'experience dans la creation de logiciels et d'applications Web a grande echelle.
  • Solide experience avec les cadres de developpement Web tels que Next.js, CSS, HTML5, etc..
  • Fortes competences en LLMOps.
  • Solide connaissance de Python.
  • Experience en gestion de bases de donnees (par ex., Mongo).
  • Experience avec le filage (threading) et la concurrence.
  • Experience avec la conteneurisation.
  • Experience avec les tests et le controle de version.
  • Experience avec les API, les services Web et les conventions RESTful.
  • Maitrise de l'anglais (notre equipe compte de nombreuxeuses partenaires a l'international et l'anglais est la langue de travail).

Qualifications souhaitables

  • Experience avec les API de modeles de langage (LLM) a code source ferme (particulierement OpenAI ; les autres constituent un atout).
  • Experience dans le deploiement de LLM a code source ouvert et ferme.
  • Experience avec les bases de donnees vectorielles et la generation augmentee par recuperation (RAG).
  • Maitrise du moissonnage Web (web scraping).
  • Experience avec GCP ou d'autres plateformes infonuagiques de premier plan.
  • Experience dans le developpement d'extensions pour les navigateurs Web les plus populaires.

Avantages

  • Evoluer au sein d'une communaute de specialistes dans leur domaine, de personnes passionnees et inspirantes.
  • Milieu de travail stimulant, offrant la possibilite d'interagir avec les membres de la recherche de Mila.
  • Salaire concurrentiel.
  • Equilibre entre vie professionnelle et vie personnelle grace a nos horaires de travail flexibles.
  • Bureaux situes au cur de la Petite Italie, dans le quartier branche du Mile-Ex.
  • Flexibilite quant au mode de travail privilegie (options de teletravail et de travail hybride offertes).


Nous voulons vous connaitre 

A Mila, la diversite nous tient a cur. Nous valorisons un environnement de travail equitable, ouvert et respectueux des differences. Nous encourageons toute personne souhaitant uvrer dans un ecosysteme en progression continue et stimulee a contribuer a l'application et la definition d'une culture saine et inclusive, a postuler. Veuillez noter que seules les personnes selectionnees seront contactees.

Apply