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Remote Senior Applied Scientist, ML

Sama

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. 

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. 

  • 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.

 

Description du poste :

L’équipe de R-D de Sama livre des solutions intégrées répondant aux problèmes plus complexes en matière d’apprentissage automatique pour le compte de nos clients. Nous utilisons des pratiques de pointe pour bâtir des solutions évolutives, sécuritaires et efficaces couvrant de multiples aspects de l’apprentissage automatique et de l’intelligence artificielle, de l’ingestion à l’annotation des données, du développement à l’exploitation de modèles d’apprentissage automatique.

À titre de Chercheur/Chercheuse Appliqué.e, vous travaillerez avec notre talentueuse équipe de scientifiques, ingénieur.es, et plus de 3000 agent.es d’annotation basé.es en Afrique de l’Est pour faire progresser la plateforme d’annotation de Sama et permettre à nos client.es et annotateurs.trices de rapidement et précisément identifier et extraire des fonctionnalités à partir d’images, de vidéos et de systèmes Lidar. Toujours engagé envers vos client.es et dévoué à créer des possibilités pour les personnes à faibles revenus, vous utiliserez vos compétences exceptionnelles en recherche scientifique pour livrer des solutions efficaces dans un environnement incrémentiel, lean et autonome.

La personne idéale pour ce poste possède une expertise solide en apprentissage automatique et en vision par ordinateur, et ce, de la création de prototypes à la mise en produit. Au sein de notre équipe d’IA, vous occuperez un rôle clé pour l’amélioration de la technologie ML qui alimente notre plateforme de sélection et d’annotation de données, et serez un acteur clé dans la définition de la stratégie ML de l'entreprise.

Responsabilités:


  • Vous serez responsable du développement et de la mise en produit de notre technologie permettant d’analyser, caractériser et traiter les images, les vidéos et les systèmes 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 modèles afin d'obtenir les meilleures performances et de générer de la valeur pour leurs entreprises.

  • Définir et articuler la vision des initiatives ML alignées sur les objectifs de l'organisationa afin de créer, en collaboration avec les équipes de produits et d’ingénierie, une feuille de route.

Qualifications requises:


  • Diplôme d’études supérieures en informatique, en génie électrique ou dans un domaine connexe.

  • Expérience de recherche en apprentissage automatique, en vision par ordinateur ou en traitement d’images et les grands modèles de langage.

  • Expérience en annotation et en préparation de données.

  • Expérience avec des librairies d’apprentissage profond, comme TensorFlow ou PyTorch.

  • Vugalriser et communiquer des concepts liés à l’intelligence artificielle de façon à permettre aux parties prenantes (internes et externes) de comprendre la valeur de l’apprentissage automatique et d’en tirer des pistes d’action concrètes.

  • Solides compétences en communication et en collaboration; capable d’aligner diverses parties prenantes autour d’une vision commune.

  • Capacité à démonter une réflexion stratégique, avec expérience dans l’élaboration et la mise en œuvre d’une planification stratégique.

  • 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 l’ingénierie logicielle en général

  • À l’aise avec le travail d’équipe en mode hybride ou entièrement à distance.

  • A l’aise de mentorat des collègues plus junior. 

 

About Sama  

Sama provides high-quality training data that powers AI technology for Fortune 2000 companies such as Google, Walmart, Ford, Microsoft, and Marriott. We’re 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 “talent is equally distributed, but opportunity is not”, 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.  

For more information, visit .

More information can be found at:

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.

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