Software Engineer, Machine Learning | Ingénieur logiciel, apprentissage automatique

Meta
Old Toronto
CAD 80,000 - 100,000
Job description
Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.

Software Engineer, Machine Learning | Ingénieur logiciel, apprentissage automatique Responsibilities:

  • Leading projects or small teams of people to help them unblock, advocating for ML excellence | Diriger des projets ou de petites équipes de personnes pour les aider à se débloquer, en préconisant l'excellence au language ML.
  • Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) | Adapter les méthodes standard d'apprentissage automatique pour exploiter au mieux les environnements parallèles modernes (par exemple, grappes distribuées, SMP multicœurs et GPU)
  • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models | Développer des classificateurs et des outils hautement évolutifs en s'appuyant sur l'apprentissage automatique, la régression des données et les modèles basés sur des règles
  • Suggest, collect and synthesize requirements and create effective feature roadmaps | Proposer, recueillir et synthétiser les besoins et créer des feuilles de route efficaces pour les fonctionnalités.
  • Code deliverables in tandem with the engineering team | Coder les livrables en collaboration avec l’équipe d’ingénierie

Minimum Qualifications:

  • 6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD | Plus de six ans d'expérience dans le domaine du génie logiciel ou dans un domaine connexe. Trois ans et plus d'expérience si vous êtes titulaire d'un doctorat.
  • 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field | Au moins 2 ans d'expérience dans un ou plusieurs des domaines suivants : Apprentissage automatique, systèmes de recommandation, reconnaissance de formes, exploitation des données, intelligence artificielle ou domaine technique connexe.
  • Experience with scripting languages such as Python, Javascript or Hack | Expérience dans les langages de script tels que Python, Javascript ou Hack
  • Experience with developing machine learning models at scale from inception to business impact | Expérience en développement de modèles d’apprentissage automatique à grande échelle, de la création jusqu’à l'incidence sur les activités commerciales
  • Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts | Connaissance en développement et débogage en C/C++ et Java, ou expérience des langages de script tels que Python, Perl, PHP ou des scripts shell
  • Experience building and shipping high quality work and achieving high reliability | Expérience de la construction et de l'expédition de travaux de haute qualité et d'une grande fiabilité
  • Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships | Expérience en matière d'orientation technique d'une équipe, de recherche de consensus et de partenariats interfonctionnels réussis.
  • Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes | Expérience dans l'amélioration de la qualité à travers des révisions de code réfléchies, des tests appropriés, un déploiement adéquat, un suivi et des changements proactifs.
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience | Être titulaire d'une licence en informatique, en génie informatique, dans un domaine technique pertinent, ou justifier d'une expérience pratique équivalente.

Preferred Qualifications:

  • Exposure to architectural patterns of large scale software applications | Exposition aux modèles architecturaux d'applications logicielles à grande échelle
  • Experience with scripting languages such as Pytorch and TF | Expérience en langages de script tels que Pytorch et TensorFlow

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.


CA$133,000/year to CA$176,000/year + bonus + equity + benefits


Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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