Senior Applied Scientist, ML
Montréal, Quebec, Canada
Sama
Sama provides ML Professionals and AI team Leads with an indispensable solution for Computer Vision and Generative AI data.About the Role:
The Sama R&D team is focused on delivering integrated solutions solving the most complex ML problems for our customers. We use advanced practices to build scalable, secure, and efficient solutions covering multiple aspects of ML and AI, from data ingestion to annotation and building and operating ML models.Â
As an Applied ML Scientist, you will work with our team of talented Researchers, Engineers, and over 3,000 of our Annotation Associates in East Africa to advance the Sama annotation platform, empowering our customers and Annotators to rapidly and accurately identify and extract features in images, videos, and Lidar systems. With a commitment to your customer and driven by a mission to expand opportunities for low-income people, you will use your outstanding research and development skills to deliver compelling solutions in an incremental, lean, and self-driven environment.
Our ideal candidate has a strong expertise in machine learning in general, from prototyping to productization. As part of our AI team, you will play a key role in improving the core ML technology powering our advanced data curation and annotation platform, as well as being a key stakeholder in defining the company's ML strategy.
Responsibilities:
- You will be responsible for developing and productizing our technology to analyze, characterize and process images, videos, textual information and Lidar point clouds.Â
- You will drive forward our machine learning technology offering, from research to productization.
- Advise clients on the best practices to train and evaluate their models in order to achieve the best performance and drive value for their companies.
- Define and articulate the vision for ML initiatives aligned with organization goals, which would help define a roadmap in conjunction with product and engineering teams
Minimum qualifications:
- Postgraduate degree in Computer Science, Electrical Engineering, or related field.
- Research experience in machine learning, computer vision, or large language models.
- Experience with data annotation and preparation.
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- 5 years of experience in specific Machine Learning related roles
- Demonstrates excellent communication skills, with the ability to effectively explain AI concepts in a way that allows stakeholders (internal and external) to understand the value of machine learning and generate actionable insights.
- Strong communication and collaboration skills; able to align diverse stakeholders around a shared vision.
- Proven strategic thinking ability, with experience developing and implementing multi-phase plans.
- Ability to balance day-to-day technical work with big-picture planning and long-term sustainability.
Preferred qualifications
- Contribution to research communities and/or efforts, including publishing papers at conferences such as NeurIPS, ICML, CVPR, ICLR, etc.
- Familiarity with ML Ops and software engineering, in general.
- Comfortable working with a distributed team.
- Comfortable mentoring junior members of the team.
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Description du poste :
LâĂ©quipe de R-D de Sama livre des solutions intĂ©grĂ©es rĂ©pondant aux problĂšmes plus complexes en matiĂšre dâapprentissage automatique pour le compte de nos clients. Nous utilisons des pratiques de pointe pour bĂątir des solutions Ă©volutives, sĂ©curitaires et efficaces couvrant de multiples aspects de lâapprentissage automatique et de lâintelligence artificielle, de lâingestion Ă lâannotation des donnĂ©es, du dĂ©veloppement Ă lâexploitation de modĂšles dâapprentissage automatique.
Ă titre de Chercheur/Chercheuse AppliquĂ©.e, vous travaillerez avec notre talentueuse Ă©quipe de scientifiques, ingĂ©nieur.es, et plus de 3000 agent.es dâannotation basĂ©.es en Afrique de lâEst pour faire progresser la plateforme dâannotation de Sama et permettre Ă nos client.es et annotateurs.trices de rapidement et prĂ©cisĂ©ment identifier et extraire des fonctionnalitĂ©s Ă partir dâimages, de vidĂ©os et de systĂšmes Lidar. Toujours engagĂ© envers vos client.es et dĂ©vouĂ© Ă crĂ©er des possibilitĂ©s pour les personnes Ă faibles revenus, vous utiliserez vos compĂ©tences exceptionnelles en recherche scientifique pour livrer des solutions efficaces dans un environnement incrĂ©mentiel, lean et autonome.
La personne idĂ©ale pour ce poste possĂšde une expertise solide en apprentissage automatique et en vision par ordinateur, et ce, de la crĂ©ation de prototypes Ă la mise en produit. Au sein de notre Ă©quipe dâIA, vous occuperez un rĂŽle clĂ© pour lâamĂ©lioration de la technologie ML qui alimente notre plateforme de sĂ©lection et dâannotation de donnĂ©es, et serez un acteur clĂ© dans la dĂ©finition de la stratĂ©gie ML de l'entreprise.
Responsabilités:
- Vous serez responsable du dĂ©veloppement et de la mise en produit de notre technologie permettant dâanalyser, caractĂ©riser et traiter les images, les vidĂ©os et les systĂšmes Lidar.
- Vous piloterez le développement de notre offre technologique en d'apprentissage automatique, et ce, de la recherche à la mise en produit.
- Conseiller les client.es sur les meilleures pratiques pour former et évaluer leurs modÚles afin d'obtenir les meilleures performances et de générer de la valeur pour leurs entreprises.
- DĂ©finir et articuler la vision des initiatives ML alignĂ©es sur les objectifs de l'organisationa afin de crĂ©er, en collaboration avec les Ă©quipes de produits et dâingĂ©nierie, une feuille de route.
Qualifications requises:
- DiplĂŽme dâĂ©tudes supĂ©rieures en informatique, en gĂ©nie Ă©lectrique ou dans un domaine connexe.
- ExpĂ©rience de recherche en apprentissage automatique, en vision par ordinateur ou en traitement dâimages et les grands modĂšles de langage.   Â
- Expérience en annotation et en préparation de données.
- ExpĂ©rience avec des librairies dâapprentissage profond, comme TensorFlow ou PyTorch.
- Vugalriser et communiquer des concepts liĂ©s Ă lâintelligence artificielle de façon Ă permettre aux parties prenantes (internes et externes) de comprendre la valeur de lâapprentissage automatique et dâen tirer des pistes dâaction concrĂštes.
- Solides compĂ©tences en communication et en collaboration; capable dâaligner diverses parties prenantes autour dâune vision commune.
- CapacitĂ© Ă dĂ©monter une rĂ©flexion stratĂ©gique, avec expĂ©rience dans lâĂ©laboration et la mise en Ćuvre dâune planification stratĂ©gique.
- Capacité à concilier le travail technique quotidien avec une habileté à  garder le cap sur la vision à long terme pour assurer la mise en oeuvre de la planification.
Atouts:
- Contributions au sein de la communauté scientifique et/ou publications dans des conférences comme NeurIPS, ICML, CVPR, ICLR, etc.
- Bonne connaissance des pratiques ML Ops et de lâingĂ©nierie logicielle en gĂ©nĂ©ral
-  à lâaise avec le travail dâĂ©quipe en mode hybride ou entiĂšrement Ă distance.
- A lâaise de mentorat des collĂšgues plus junior.Â
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About SamaÂ
Sama provides high-quality training data that powers AI technology for Fortune 2000 companies such as Google, Walmart, Ford, Microsoft, and Marriott. Weâre experts in data annotation, supporting text, 2D, 3D image, video, and sensor data for machine learning algorithms and generative AI models. Sama offers the highest quality SLAs in the industry, along with cutting-edge ML-assisted annotation tools, QA processes, and security and compliance standards.
Founded in 2008 on the belief that âtalent is equally distributed, but opportunity is notâ, Sama is driven by the mission to expand opportunities for those who are underprivileged. As a certified B-Corp, Sama has provided worker training programs to increase economic opportunity for more than 15,000 people from underserved communities. By connecting our customers with amazing talent in East Africa, we've impacted more than 69,000 workers and their dependents.
Today, our vision is to provide data scientists, ML engineers, and data operations teams with an indispensable, integrated platform for AI data preparation, labeling, and collection.Â
For more information, visit www.sama.com.
More information can be found at:
- Featured in Forbes: How Ethical Is Your AI?
- Sama Honored on Inc. Magazineâs Annual List of Americaâs Fastest-Growing Private Companies â the Inc. 5000
- Reversing Poverty - Ted Talk by our founder Leila Janah
Our Culture:
Sama is quite unique. We are a technology company with a social mission. People that thrive in a high-growth environment, love working on the bleeding edge of technology, and really care about having a positive impact on the world are a great fit for the Sama culture. Our core values are One Team, One Goal - Deliver. Period. - Trust & Transparency - Customer First - Humanity.
Our Benefits:
Sama is proud to offer competitive compensation corresponding to market data & level of experience. Sama also offers benefits packages based on country of employment, including but not limited to medical, dental, vision, and life insurance, holiday and vacation policies, professional development stipends and a paid sabbatical program. Our Talent Acquisition team would be happy to discuss our benefits packages with you in more detail during the interview process.
At Sama, we pride ourselves in being a diverse and equal opportunity employer.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index đ°
Tags: Computer Science Computer Vision Core ML DataOps Deep Learning Engineering Generative AI ICLR ICML Lidar LLMs Machine Learning ML models NeurIPS Prototyping PyTorch R R&D Research Security TensorFlow
Perks/benefits: Career development Competitive pay Conferences Health care Paid sabbatical Startup environment Transparency
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