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Spécialiste, Machine Learning (SSA) - Machine Learning Specialist (SSA)
Northstarearthandspace · Montréal, Quebec, H2Y 1S1, Canada · Hybrid · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Northstarearthandspace |
| Title | Spécialiste, Machine Learning (SSA) - Machine Learning Specialist (SSA) |
| Normalized title | - |
| Department / team | Si2 - Image Processing (Algo) |
| Location | Montréal, Canada |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-03-30 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-21 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Northstarearthandspace. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Montréal. | Open |
| Department jobs | Active postings in Si2 - Image Processing (Algo). | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Northstarearthandspace |
| Source | 457566a8-0ed3-4a5d-a07f-5107137c24e5 |
| ATS provider | BambooHR |
Description
English follows
À propos de NorthStar
NorthStar Earth & Space (« NorthStar ») est le leader mondial de l’analyse de données spatiales. Nous utilisons des données issues de capteurs optiques, radar, RF passifs et d’autres sources liées à la connaissance de la situation spatiale (SSA) comme briques de base pour créer des services d’information adaptés aux besoins des clients gouvernementaux et industriels.
Notre vaste portefeuille technologique breveté comprend des algorithmes de dynamique orbitale et d’apprentissage automatique appliqués à la surveillance de l’espace et à la gestion du trafic spatial.
Avec un siège social à Montréal, un siège européen au Luxembourg et des opérations aux États-Unis (McLean, Virginie), l’entreprise s’attaque à la menace croissante des collisions spatiales et contribue à préserver notre planète.
L'équipe qui t'attend
L’équipe Space Information and Intelligence (Si²) est une équipe multidisciplinaire composée de scientifiques, d’ingénieur·e·s et de développeur·euse·s logiciels issus de domaines tels que la physique, la dynamique des systèmes, l’informatique et la conception logicielle.
Elle se consacre au développement de solutions innovantes pour surveiller l’environnement spatial à partir de multiples sources d’observation et de données géospatiales.
Tes responsabilités
Concevoir, implémenter et valider des modèles de machine learning / deep learning (supervisés ou non supervisés) pour :
extraire des données astrodynamiques proches de la Terre à partir d’images bruitées avec des ressources matérielles limitées
identifier des séries temporelles représentant la dynamique d’un objet
regrouper (clustering) des séries temporelles
inférer des données astrodynamiques à partir d’observations partielles
analyser les tendances à long terme et le comportement d’objets en orbite
Déployer ces modèles dans des infrastructures cloud ou sur des dispositifs embarqués (edge)
Développer des composants logiciels robustes et réutilisables (au-delà de prototypes de recherche)
Collaborer avec une équipe multidisciplinaire
Assurer une veille scientifique continue, synthétiser les résultats clés et les traduire en recommandations exploitables pour des publics techniques et non techniques
Évaluer les performances des solutions à l’aide de données simulées et réelles
Documenter clairement les algorithmes, flux de travail et résultats
Ton profil
Maîtrise ou doctorat en : Machine Learning, physique, génie électrique ou informatique, mathématiques appliquées, aérospatiale ou tout autre domaine connexe
Un minimum de 5 ans d'expérience dans le domaine
Bilinguisme français/anglais (écrit et oral) — collaboration internationale (~20%)
Une combinaison équivalente formation + expérience peut être considérée
Compétences recherchées
Solides bases en : apprentissage automatique, probabilités, statistiques, optimisation
Expérience pratique avec : frameworks de deep learning (ex. PyTorch), Python et ses bibliothèques scientifiques, développement et débogage de modèles personnalisés
Bonne maîtrise des architectures de deep learning : réseaux convolutifs, architectures à mécanisme d’attention, adaptation de modèles pré-entraînés ou conception from scratch
Capacité à concevoir des preuves de concept avec contraintes de production : modularité, scalabilité, reproductibilité
Bonnes pratiques en génie logiciel : Git, tests, CI/CD
Atouts supplémentaires
Expérience en déploiement de modèles dans des pipelines de données (cloud et/ou edge)
Connaissances en calcul haute performance : CUDA, optimisation GPU
Intérêt ou connaissances en mécanique orbitale
Expérience avec : ingestion de données à grande échelle, prétraitement, gestion du cycle de vie des données manipulation de données volumineuses et multidimensionnelles
Notre promesse
Travailler pour une entreprise dont la mission est de garantir un environnement durable et prospère pour les générations futures
Opportunités d’implication dans la gestion produit et technique
Salaire compétitif
Assurance santé et dentaire dès le premier jour
Horaires flexibles et mode de travail hybride
Bureau situé dans le Vieux-Montréal
NorthStar s’engage à créer un environnement de travail sûr et inclusif où chaque employé·e se sent valorisé·e et écouté·e.
Nous encourageons fortement les candidatures de personnes issues de divers horizons, notamment :
personnes racisées et autochtones
personnes en situation de handicap
personnes de tous âges, orientations sexuelles, identités 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 (Si²) 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.
Full job record
| Job ID | 41711cab742643c700d25990700b8472a56cbad0 |
| Org ID | 74695b6d-05c6-4e59-bfca-65b1a7c45f36 |
| Source ID | 457566a8-0ed3-4a5d-a07f-5107137c24e5 |
| Board ID | 457566a8-0ed3-4a5d-a07f-5107137c24e5 |
| Provider | bamboohr |
| Provider Job Key | 104 |
| Title | Spécialiste, Machine Learning (SSA) - Machine Learning Specialist (SSA) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Montréal, Quebec, H2Y 1S1, Canada |
| Department | Si2 - Image Processing (Algo) |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | Canada |
| Region | — |
| City | Montréal |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://northstarearthandspace.bamboohr.com/careers/104 |
| Apply URL | https://northstarearthandspace.bamboohr.com/careers/104 |
| First Seen At | 2026-05-30 05:48:15Z |
| Last Seen At | 2026-06-21 11:21:44Z |
| Last Checked At | 2026-06-21 11:21:44Z |
| Last Changed At | 2026-05-30 05:48:15Z |
| Inactive At | — |
| Source Posted At | 2026-03-30 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=northstarearthandspace/date=2026-06-21/2026-06-21T11-21-43-206Z-3b3a80dbb7d8f00140abd6b24753fb442593e36b2e44abb9c2509299ec98646f.json |
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"description": "<p><em><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">English follows</span></span></em></p>\n<p><em><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif; font-size: 12pt\"><br></span></em><br></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif; font-size: 18pt\"><span style=\"font-weight: bold\">À propos de NorthStar</span></span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif; font-size: 24pt\"><br></span></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif; font-size: 18pt\"><br></span><br></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">NorthStar Earth & Space (« NorthStar ») est le leader mondial de l’analyse de données spatiales. Nous utilisons des données issues de capteurs optiques, radar, RF passifs et d’autres sources liées à la <span style=\"font-weight: bold\">connaissance de la situation spatiale (SSA)</span> comme briques de base pour créer des services d’information adaptés aux besoins des clients gouvernementaux et industriels.</span></p>\n<p><br></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Notre vaste portefeuille technologique breveté comprend des algorithmes de dynamique orbitale et d’apprentissage automatique appliqués à la surveillance de l’espace et à la gestion du trafic spatial.</span></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Avec un siège social à Montréal, un siège européen au Luxembourg et des opérations aux États-Unis (McLean, Virginie), l’entreprise s’attaque à la menace croissante des collisions spatiales et contribue à préserver notre planète.</span></p>\n<p><br><br></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif; font-size: 18pt; font-weight: bold\">L'équipe qui t'attend</span></p>\n<p><br><br></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">L’équipe Space Information and Intelligence (Si²) est une équipe multidisciplinaire composée de scientifiques, d’ingénieur·e·s et de développeur·euse·s logiciels issus de domaines tels que la physique, la dynamique des systèmes, l’informatique et la conception logicielle.</span></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Elle se consacre au développement de solutions innovantes pour surveiller l’environnement spatial à partir de multiples sources d’observation et de données géospatiales.</span></p>\n<p><br></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif; font-size: 18pt; font-weight: bold\">Tes responsabilités</span></p>\n<p><br><br></p>\n<ul>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Concevoir, implémenter et valider des modèles de <span style=\"font-weight: bold\">machine learning / deep learning</span> (supervisés ou non supervisés) pour :</span>\n<ul>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">extraire des données astrodynamiques proches de la Terre à partir d’images bruitées avec des ressources matérielles limitées</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">identifier des séries temporelles représentant la dynamique d’un objet</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">regrouper (clustering) des séries temporelles</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">inférer des données astrodynamiques à partir d’observations partielles</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">analyser les tendances à long terme et le comportement d’objets en orbite</span></li>\n</ul>\n</li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Déployer ces modèles dans des infrastructures cloud ou sur des dispositifs embarqués (edge)</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Développer des composants logiciels robustes et réutilisables (au-delà de prototypes de recherche)</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Collaborer avec une équipe multidisciplinaire</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Assurer une veille scientifique continue, synthétiser les résultats clés et les traduire en recommandations exploitables pour des publics techniques et non techniques</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Évaluer les performances des solutions à l’aide de données simulées et réelles</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Documenter clairement les algorithmes, flux de travail et résultats</span></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif; font-size: 18pt; font-weight: bold\">Ton profil</span></p>\n<p><br><br></p>\n<ul>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Maîtrise ou doctorat en : Machine Learning, physique, génie électrique ou informatique, mathématiques appliquées, aérospatiale ou tout autre domaine connexe</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Un minimum de 5 ans d'expérience dans le domaine </span><br></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Bilinguisme français/anglais (écrit et oral) — collaboration internationale (~20%)</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Une combinaison équivalente formation + expérience peut être considérée</span></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif; font-size: 14pt\"><span style=\"font-weight: bold\">Compétences recherchées</span></span></p>\n<ul>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Solides bases en : </span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">apprentissage automatique, </span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">probabilités, </span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">statistiques, </span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">optimisation</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Expérience pratique avec : </span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">frameworks de deep learning (ex. PyTorch), </span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Python et ses bibliothèques scientifiques, </span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">développement et débogage de modèles personnalisés</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Bonne maîtrise des architectures de deep learning : </span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">réseaux convolutifs, </span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">architectures à mécanisme d’attention, </span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">adaptation de modèles pré-entraînés ou conception from scratch</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Capacité à concevoir des preuves de concept avec contraintes de production : </span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">modularité, </span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">scalabilité, </span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">reproductibilité</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Bonnes pratiques en génie logiciel : </span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Git, </span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">tests, </span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">CI/CD</span></li>\n</ul>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif; font-size: 14pt\"><span style=\"font-weight: bold\">Atouts supplémentaires</span></span></p>\n<ul>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Expérience en déploiement de modèles dans des pipelines de données (cloud et/ou edge)</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Connaissances en calcul haute performance : </span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">CUDA, </span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">optimisation GPU</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Intérêt ou connaissances en mécanique orbitale</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Expérience avec : </span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">ingestion de données à grande échelle, </span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">prétraitement, </span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">gestion du cycle de vie des données </span><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">manipulation de données volumineuses et multidimensionnelles</span></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif; font-size: 18pt\"><span style=\"font-weight: bold\">Notre promesse</span></span></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif; font-size: 18pt\"><br></span><br></p>\n<ul>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Travailler pour une entreprise dont la mission est de garantir un environnement durable et prospère pour les générations futures</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Opportunités d’implication dans la gestion produit et technique</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Salaire compétitif</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Assurance santé et dentaire dès le premier jour</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Horaires flexibles et mode de travail hybride</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Bureau situé dans le Vieux-Montréal</span><br></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">NorthStar s’engage à créer un environnement de travail sûr et inclusif où chaque employé·e se sent valorisé·e et écouté·e.</span></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Nous encourageons fortement les candidatures de personnes issues de divers horizons, notamment :</span></p>\n<ul>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">personnes racisées et autochtones</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">personnes en situation de handicap</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">personnes de tous âges, orientations sexuelles, identités et expressions de genre</span></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">*****</span></p>\n<p><br><br></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif; font-weight: bold\"><span style=\"font-size: 18pt\">Who we are and what we do</span> </span><br><br><br></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">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.</span></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\"> </span></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif; font-weight: bold\"><span style=\"font-size: 18pt\">Who you'll work with</span> </span><br><br><br><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">The Space Information and Intelligence (Si²) 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.</span><br></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\"> </span></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif; font-weight: bold\"><span style=\"font-size: 18pt\">What you will do</span> </span><br><br></p>\n<ul>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Design, implement, and validate ML/DL models (supervised or unsupervised) to:</span>\n<ul>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">extract near-Earth astro-dynamical data from noisy imagery under limited hardware resource availability</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">identify time series representing the dynamic of an object</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">cluster time series</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">infer astro-dynamical data from partial observations</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">analyze long-term trends and object behavior in orbit</span></li>\n</ul>\n</li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Support deployment of those models within a cloud infrastructure or on edge-devices.</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Build robust, reusable software components beyond research prototypes and collaborate with a multidisciplinary team.</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Benchmark solutions using simulated and real data.</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Document algorithms, workflows, and results clearly for reproducibility and maintainability.</span></li>\n</ul>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\"> </span></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif; font-size: 18pt; font-weight: bold\">What you bring to the table</span></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\"> </span></p>\n<ul>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">MSc or PhD in Machine Learning, Physics, Electrical/Computer Engineering, Applied Mathematics, Aerospace Engineering, or related fields.</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">5+ years of experience</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Bilingualism French & English spoken and written (collaboration with international colleagues - 20%)</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\"><em>Any combination of education and relevant experience may be considered</em></span></li>\n</ul>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\"> </span></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif; font-weight: bold\">Must-haves:</span></p>\n<ul>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Strong foundations in machine learning, probability, statistics, and optimization.</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">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.</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">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.</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Ability to design proof-of-concept with production constraints in mind (modularity, scalability, reproducibility) with solid software engineering practices (Git, testing frameworks, CI/CD).</span></li>\n</ul>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\"> </span></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif; font-weight: bold\">Nice-to-haves:</span></p>\n<ul>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Experience working in a multidisciplinary team deploying models within data pipelines whether edge and/or cloud environments.</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Knowledge of high-performance computing (CUDA, GPU optimization).</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Interest in or exposure to orbital mechanics.</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Experience in large-scale data ingestion, preprocessing, and lifecycle management, including efficient handling of high-volume, high-dimensional datasets.</span></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif; font-size: 18pt; font-weight: bold\">What you can expect</span></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\"> </span></p>\n<ul>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">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.</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">The opportunity to get involved in</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">A competitive salary.</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Health and dental coverage through our group plan from Day 1.</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">Flexible working hours and a hybrid work model.</span></li>\n<li><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">An office in the great location of the Old Montreal.</span></li>\n</ul>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\"> </span></p>\n<p><span style=\"color: rgb(52, 73, 94); font-family: arial, helvetica, sans-serif\">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.</span></p>",
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