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A propos de NorthStar

NorthStar Earth & Space ( NorthStar ) est le leader mondial de l'analyse de donnees spatiales. Nous utilisons des donnees issues de capteurs optiques, radar, RF passifs et d'autres sources liees a la connaissance de la situation spatiale (SSA) comme briques de base pour creer des services d'information adaptes aux besoins des clients gouvernementaux et industriels.

Notre vaste portefeuille technologique brevete comprend des algorithmes de dynamique orbitale et d'apprentissage automatique appliques a la surveillance de l'espace et a la gestion du trafic spatial.

Avec un siege social a Montreal, un siege europeen au Luxembourg et des operations aux Etats-Unis (McLean, Virginie), l'entreprise s'attaque a la menace croissante des collisions spatiales et contribue a preserver notre planete.

L'equipe qui t'attend

L'equipe Space Information and Intelligence (Si) est une equipe multidisciplinaire composee de scientifiques, d'ingenieures et de developpeureuses logiciels issus de domaines tels que la physique, la dynamique des systemes, l'informatique et la conception logicielle.

Elle se consacre au developpement de solutions innovantes pour surveiller l'environnement spatial a partir de multiples sources d'observation et de donnees geospatiales.

Tes responsabilites

• Concevoir, implementer et valider des modeles de machine learning / deep learning (supervises ou non supervises) pour :
  • extraire des donnees astrodynamiques proches de la Terre a partir d'images bruitees avec des ressources materielles limitees
  • identifier des series temporelles representant la dynamique d'un objet
  • regrouper (clustering) des series temporelles
  • inferer des donnees astrodynamiques a partir d'observations partielles
  • analyser les tendances a long terme et le comportement d'objets en orbite
• Deployer ces modeles dans des infrastructures cloud ou sur des dispositifs embarques (edge)
• Developper des composants logiciels robustes et reutilisables (au-dela de prototypes de recherche)
• Collaborer avec une equipe multidisciplinaire
• Assurer une veille scientifique continue, synthetiser les resultats cles et les traduire en recommandations exploitables pour des publics techniques et non techniques
• Evaluer les performances des solutions a l'aide de donnees simulees et reelles
• Documenter clairement les algorithmes, flux de travail et resultats

Ton profil

• Maitrise ou doctorat en :Machine Learning, physique, genie electrique ou informatique, mathematiques appliquees, aerospatiale ou tout autre domaine connexe
• Un minimum de 5 ans d'experience dans le domaine
  

• Bilinguisme francais/anglais (ecrit et oral) - collaboration internationale (~20%)
• Une combinaison equivalente formation + experience peut etre consideree

Competences recherchees

• Solides bases en : apprentissage automatique, probabilites, statistiques, optimisation
• Experience pratique avec : frameworks de deep learning (ex. PyTorch), Python et ses bibliotheques scientifiques, developpement et debogage de modeles personnalises
• Bonne maitrise des architectures de deep learning : reseaux convolutifs, architectures a mecanisme d'attention, adaptation de modeles pre-entraines ou conception from scratch
• Capacite a concevoir des preuves de concept avec contraintes de production : modularite, scalabilite, reproductibilite
• Bonnes pratiques en genie logiciel : Git, tests, CI/CD

Atouts supplementaires

• Experience en deploiement de modeles dans des pipelines de donnees (cloud et/ou edge)
• Connaissances en calcul haute performance : CUDA, optimisation GPU
• Interet ou connaissances en mecanique orbitale
• Experience avec : ingestion de donnees a grande echelle, pretraitement, gestion du cycle de vie des donnees manipulation de donnees volumineuses et multidimensionnelles

Notre promesse

• Travailler pour une entreprise dont la mission est de garantir un environnement durable et prospere pour les generations futures
• Opportunites d'implication dans la gestion produit et technique
• Salaire competitif
• Assurance sante et dentaire des le premier jour
• Horaires flexibles et mode de travail hybride
• Bureau situe dans le Vieux-Montreal
  

NorthStar s'engage a creer un environnement de travail sur et inclusif ou chaque employee se sent valorisee et ecoutee.

Nous encourageons fortement les candidatures de personnes issues de divers horizons, notamment :

• personnes racisees et autochtones
• personnes en situation de handicap
• personnes de tous ages, orientations sexuelles, identites et expressions de genre

*****

Who we are and what we do

NorthStar Earth & Space ("NorthStar") is the world's leading space-based data analytics company. We use optical, radar, passive RF and other Space Situational Awareness (SSA) data as building blocks to create information services tailored to the needs and requirements of clients from both government and industry. Our extensive and patented technology portfolio includes orbit dynamics and machine learning algorithms for a variety of applications for space domain awareness and space traffic management. With headquarters in Montreal, Canada, European headquarters in Luxembourg, and US operations in McLean, Virginia, the company is solving the ever-increasing threat of space collisions and empowering humanity to preserve our planet.

Who you'll work with
The Space Information and Intelligence (Si) team is a multidisciplinary team of scientists, engineers and software developers with backgrounds in Physics, Engineering Dynamics, Computer Science and Software Design. The team is dedicated to developing innovative solutions for monitoring the space environment using multiple sources for observations and geospatial data.

What you will do

• Design, implement, and validate ML/DL models (supervised or unsupervised) to:
  • extract near-Earth astro-dynamical data from noisy imagery under limited hardware resource availability
  • identify time series representing the dynamic of an object
  • cluster time series
  • infer astro-dynamical data from partial observations
  • analyze long-term trends and object behavior in orbit
• Support deployment of those models within a cloud infrastructure or on edge-devices.
• Build robust, reusable software components beyond research prototypes and collaborate with a multidisciplinary team.
• Benchmark solutions using simulated and real data.
• Document algorithms, workflows, and results clearly for reproducibility and maintainability.

What you bring to the table

• MSc or PhD in Machine Learning, Physics, Electrical/Computer Engineering, Applied Mathematics, Aerospace Engineering, or related fields.
• 5+ years of experience
• Bilingualism French & English spoken and written (collaboration with international colleagues - 20%)
• Any combination of education and relevant experience may be considered

Must-haves:

• Strong foundations in machine learning, probability, statistics, and optimization.
• Hands-on experience with deep learning frameworks (PyTorch for example) and Python in general and its scientific libraries with experience implementing and debugging custom model components.
• Strong deep learning architecture knowledge with understanding of convolutional and attention-based architectures, with practical experience adapting pretrained models or building them from first principles.
• Ability to design proof-of-concept with production constraints in mind (modularity, scalability, reproducibility) with solid software engineering practices (Git, testing frameworks, CI/CD).

Nice-to-haves:

• Experience working in a multidisciplinary team deploying models within data pipelines whether edge and/or cloud environments.
• Knowledge of high-performance computing (CUDA, GPU optimization).
• Interest in or exposure to orbital mechanics.
• Experience in large-scale data ingestion, preprocessing, and lifecycle management, including efficient handling of high-volume, high-dimensional datasets.

What you can expect

• The opportunity to work in a company whose mission is to ensure a sustainable and prosperous environment for future generations while fostering the new space economy and pursuing exploration.
• The opportunity to get involved in
• A competitive salary.
• Health and dental coverage through our group plan from Day 1.
• Flexible working hours and a hybrid work model.
• An office in the great location of the Old Montreal.

NorthStar is committed to creating and fostering a safe and inclusive work environment where our employees feel valued and heard. We strongly encourage applications from candidates from different backgrounds who can bring greater diversity to the way we think, including racialized and Indigenous persons, persons with disabilities and persons of all ages, backgrounds, sexual orientations, gender identities and gender expressions.