Image Processing and Machine Learning Engineer (PhD)
Opportunité Professionnelle : Ingénieur en Traitement d’Image et Apprentissage Automatique (PhD)
Meta – Reality Labs
Meta, entreprise à la pointe de l’innovation technologique, recrute un Ingénieur en Traitement d’Image et Apprentissage Automatique (PhD) pour rejoindre son équipe de Reality Labs. Cette division s’engage à construire des produits améliorant les connexions humaines à travers des expériences de réalité augmentée (AR) et de réalité mixte (MR).
Description du poste
Dans le cadre de vos fonctions, vous serez intégré à une équipe dédiée aux recherches et produits AR/MR. Ce groupe est axé sur la mise en avant des technologies de pointe, combinant le traitement d’image, la vision par ordinateur et l’apprentissage automatique. Votre mission inclura :
- Développer des algorithmes en traitement d’image et vision par ordinateur, alliant apprentissage automatique et approches classiques.
- Créer des modèles d’apprentissage automatique optimisés pour le matériel d’imagerie spécialisé, visant l’efficacité énergétique et la scalabilité.
- Exécuter des modèles ML, incluant formation, optimisation et analyse des résultats.
- Évaluer la qualité d’image et de vidéo par des méthodes objectives et subjectives.
- Collaborer avec les équipes hardware pour co-concevoir des algorithmes performants.
Qualifications Minimales
Les candidats doivent répondre aux critères suivants :
- En cours d’obtention ou détenteur d’un Bachelor et d’un PhD en Informatique, Génie Électrique, apprentissage automatique, vision par ordinateur ou domaine connexe.
- Expérience dans le développement d’algorithmes avancés dédiés aux applications d’imagerie.
- Maîtrise des langages Python, MATLAB et C++.
- Connaissance des frameworks d’apprentissage automatique tels que PyTorch ou TensorFlow.
- Autorisation de travail requise.
Qualifications Privilégiées
Le candidat idéal aura également :
- Un historique de publications significatives dans des conférences de renom en imagerie et vision par ordinateur.
- Une expérience dans la conception d’algorithmes optimisés pour du matériel spécialisé (GPUs, DSP, ASIC).
- Une compréhension des métriques de qualité d’image et des méthodologies d’évaluation.
Conditions de Travail et Rémunération
Le poste est basé à Sunnyvale, CA, avec un salaire compris entre 114 000 $US et 166 000 $US, sans prendre en compte les bonus et avantages associés. La rémunération est déterminée sur la base des compétences, qualifications et localisations géographiques.
Engagement d’Inclusion
Meta adhère à une politique d’égalité des chances. L’entreprise ne pratique aucune forme de discrimination à l’égard des candidats sur la base de la race, du sexe, de l’orientation sexuelle, de l’âge, ou tout autre critère protégé par la loi.
Meta s’engage également à offrir des aménagements raisonnables pour les candidats ayant des obstacles physiques ou psychologiques.
Postuler
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Cette annonce souligne l’importance des qualifications et de l’expérience dans un secteur en pleine expansion, tout en préservant des valeurs de diversité et d’inclusion. La candidature est ouverte à tous, renforçant les principes d’égalité des chances dans le monde du travail.
📅 Date de publication de l’offre : Thu, 26 Jun 2025 01:56:53 GMT
🏢 Entreprise : Meta
📍 Lieu : Sunnyvale, CA
💼 Intitulé du poste : Image Processing and Machine Learning Engineer (PhD)
💶 Rémunération proposée :
📝 Description du poste : Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free AR/MR, and push the future of computing platforms. We are a team dedicated to AR and MR research and products, committed to driving the state-of-the-art forward through demonstrated experience in innovation. The potential of AR and MR to change the world is immense-and we’re just getting started. The Reality Labs Silicon team explores, develops, and delivers new cutting-edge technologies that serve as the foundation of current and future Reality Labs products. From mixed reality and human interaction to natural input and beyond, the silicon team focuses on taking new technologies from early concept to the product level while iterating, prototyping, and realizing the human value and new experiences they open up. The team’s mission is to develop cutting-edge image processing, computer vision, and machine learning core technologies for on-device imaging in combination with cloud computing. We are combining ML and classic algorithms to achieve product requirements.Image Processing and Machine Learning Engineer (PhD) ResponsibilitiesDevelop algorithms for image processing and computer vision that are based on machine learning and classic approachesDevelop machine learning models that interact efficiently with specialized imaging hardware, optimizing for performance, energy efficiency, and scalabilityRun ML models, including training, optimization, and analysis of resultsPerform image and video quality evaluations using both objective and subjective methodsBuild new tools and workflows for evaluating and improving the visual quality and computational efficiency of vision systemsCollaborate with hardware teams to co-design algorithms that leverage specialized accelerators or custom silicon for optimized performanceMinimum QualificationsCurrently has, or is in the process of obtaining a Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaCurrently has, or is in the process of obtaining, a PhD degree in Computer Science, Electrical Engineering, machine learning, computer vision or related fieldExperience in developing and implementing advanced algorithms for imaging, computer vision, or machine learning applicationsExperience in Python and/or MATLAB, and C++Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or other related toolsMust obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employmentPreferred QualificationsProven track record of achieving significant results, as demonstrated by first-authored publications at leading workshops or conferences in imaging, computer vision, or machine learning (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML)Experience with designing image processing or computer vision algorithms optimized for specialized hardware such as GPUs, Digital Signal Processors (DSP), or custom Application-Specific Integrated Circuits (ASIC)Knowledge of image and video quality metrics and evaluation methodologiesExperience with software-hardware co-design and developing models that interact with low-level system componentsDemonstrated experience in designing tools for data processing, visualization, and performance evaluationFamiliarity with state-of-the-art techniques in computational imaging, computer vision, or Augmented Reality/Virtual Reality (AR/VR) applicationsFor those who live in or expect to work from California if hired for this position, please click for additional information.About MetaMeta 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.114 000 $US/year to 166 000 $US/year + bonus + equity + benefitsIndividual 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 at Meta.Equal Employment OpportunityMeta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice .Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the .Apply for this jobTake the first step toward a rewarding career at Meta.APPLY NOWFind your roleExplore jobs that match your skills and experience. Search by technology, team or location to find an opening that’s right for you.CareersFollow usCareer programsTeamsWorking at MetaMy accountAbout usEqual Employment OpportunityMeta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice .Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need assistance or an accommodation due to a disability, fill out the
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