Staff Machine Learning Engineer I

Mistplay est l'application de fidélité n°1 pour les joueurs mobiles. Notre communauté de millions de joueurs mobiles engagés utilise Mistplay pour découvrir de nouveaux jeux et gagner des récompenses. Les joueurs sont récompensés pour le temps et l'argent qu'ils consacrent aux jeux et peuvent échanger ces récompenses contre des cartes cadeaux. Mistplay a pour mission d'être le meilleur moyen de jouer à des jeux mobiles pour tous, partout dans le monde Téléchargez Mistplay sur le Google Play Store ici et suivez-nous sur Instagram , Twitter et Facebook . Veuillez noter : Au Canada , Mistplay suit un modèle hybride de 3 jours/semaine en bureau à Toronto (400 University Ave) & Montréal (1001 Blvd. Robert-Bourassa) Mistplay is the #1 loyalty app for mobile gamers. Our community of millions of engaged mobile gamers come to Mistplay to discover new games to play and earn rewards. Gamers are rewarded for their time and money spent within the games and can redeem those rewards for gift cards. Mistplay is on a mission to be the best way to play mobile games for everyone everywhere Download Mistplay on the Google Play Store here and follow us on Instagram , Twitter and Facebook . Please Note: In Canada , Mistplay follows a 3 days/week in-office hybrid model in Toronto (400 University Ave) & Montreal (1001 Blvd. Robert-Bourassa) French Job Description (English version is below ⬇️) Rejoignez Mistplay en tant que Ingénieur en apprentissage automatique, en tête du développement de solutions d'IA de pointe dans les secteurs du jeu mobile et de l'Ad-Tech. Votre expérience en ad-tech et en publicité sera essentielle pour construire des systèmes de recommandation sophistiqués qui amélioreront l'expérience utilisateur et la performance commerciale. Relevant du directeur de la science des données et de l'apprentissage automatique, vous contribuerez à des projets à fort impact qui propulseront nos produits vers un succès mondial. Ce que vous ferez chez Mistplay Diriger et faire progresser la conception, l'implémentation et l'optimisation de modèles d'apprentissage automatique complexes et de systèmes de recommandation qui répondent aux défis commerciaux fondamentaux, en particulier dans le secteur de l'ad tech. Superviser des projets de science des données de bout en bout qui influencent des domaines commerciaux critiques tels que la personnalisation de l'utilisateur, la tarification dynamique, la segmentation de l'utilisateur et les modèles d'attribution marketing. Travailler efficacement avec les équipes Produit, Marketing et Ingénierie pour définir, développer et lancer des solutions basées sur les données. Créer, examiner et optimiser des modèles prédictifs, des algorithmes de recommandation et des cadres de tests A/B pour maximiser l'engagement et la monétisation des utilisateurs. Encadrer les scientifiques des données juniors et superviser les initiatives techniques au sein de l'équipe, favorisant un environnement de science des données collaboratif et efficace. Contribuer activement au leadership éclairé de Mistplay en matière de science des données en fournissant des informations, en animant des discussions, en présentant lors d'événements de l'industrie et en représentant Mistplay à l'extérieur. What you'll do at Mistplay: Lead and drive forward the design, implementation, and optimization of complex machine learning models and recommendation systems that address core business challenges, particularly within the ad tech sector. Oversee end‑to‑end data science projects that influence critical business areas such as user personalization, dynamic pricing, user segmentation, and marketing attribution models. Work effectively with Product, Marketing, and Engineering teams to define, develop, and launch data‑driven solutions. Create, scrutinize, and optimize predictive models, recommendation algorithms, and A/B testing frameworks for maximizing user engagement and monetization. Mentor junior data scientists and oversee technical initiatives across the team, fostering a collaborative and effective data science environment. Actively contribute to Mistplay's data science thought leadership by delivering insights, leading discussions, presenting at industry events, and representing Mistplay externally. What you'll bring to Mistplay: 8+ years of experience in Data Science or Machine Learning, preferably in the ad tech and advertising space, with a strong focus on recommendation and recommender systems. Expertise in Python, advanced Machine Learning libraries (e.g., TensorFlow, PyTorch), SQL, and large-scale data processing. Experience with deploying machine learning models at scale in production environments and knowledge of MLOps practices. Experience in developing and deploying DNN algorithms in production. Strong grounding in statistics, hypothesis testing, and advanced analytics to identify trends and patterns. Strong verbal and written communication skills to convey complex concepts to a range of stakeholders and drive strategic discussions. Demonstrated ability to adapt to fast-changing circumstances and pioneer high‑stakes projects advancing business goals. Nice-to-have skills: Expertise in causal inference techniques and experience designing robust A/B testing methodologies. Track record of working on recommendation systems tailored for advertising and user engagement. Familiarity with the latest advancements in AI and machine learning within the ad tech industry and a passion for continuously driving innovation. English Job Description As a Staff Machine Learning Engineer, you will be leading the charge in developing cutting‑edge AI solutions within the mobile gaming and Ad‑Tech industries. Your experience in ad‑tech and advertising will be instrumental in constructing sophisticated recommendation systems that elevate user experience and business performance. Reporting to the Director of Data Science and Machine Learning, you will contribute to high‑impact projects that drive our products towards global success. What you'll do at Mistplay: Lead and drive forward the design, implementation, and optimization of complex machine learning models and recommendation systems that address core business challenges, particularly within the ad tech sector. Oversee end‑to‑end data science projects that influence critical business areas such as user personalization, dynamic pricing, user segmentation, and marketing attribution models. Work effectively with Product, Marketing, and Engineering teams to define, develop, and launch data‑driven solutions. Create, scrutinize, and optimize predictive models, recommendation algorithms, and A/B testing frameworks for maximizing user engagement and monetization. Mentor junior data scientists and oversee technical initiatives across the team, fostering a collaborative and effective data science environment. Actively contribute to Mistplay's data science thought leadership by delivering insights, leading discussions, presenting at industry events, and representing Mistplay externally. What you'll bring to Mistplay: 8+ years of experience in Data Science or Machine Learning, preferably in the ad tech and advertising space, with a strong focus on recommendation and recommender systems. Expertise in Python, advanced Machine Learning libraries (e.g., TensorFlow, PyTorch), SQL, and large‑scale data processing. Experience with deploying machine learning models at scale in production environments and knowledge of MLOps practices. Experience in developing and deploying DNN algorithms in production. Strong grounding in statistics, hypothesis testing, and advanced analytics to identify trends and patterns. Strong verbal and written communication skills to convey complex concepts to a range of stakeholders and drive strategic discussions. Demonstrated ability to adapt to fast‑changing circumstances and pioneer high‑stakes projects advancing business goals. Nice-to-have skills: Expertise in causal inference techniques and experience designing robust A/B testing methodologies. Track record of working on recommendation systems tailored for advertising and user engagement. Familiarity with the latest advancements in AI and machine learning within the ad tech industry and a passion for continuously driving innovation. *Nous remercions tous(tes) les candidat(e)s. Le genre masculin a été utilisé dans le but d'alléger le texte. Nous souscrivons au principe de l’équité en matière d’emploi. Pourquoi choisir Mistplay ? Nous faisons tout pour rendre notre environnement de travail aussi accueillant et plaisant que possible Un poste chez Mistplay s’accompagne de toute une série d'avantages que nous proposons en mode virtuel ou présentiel : déjeuners d'équipe, soirées jeux, événements à l'échelle de l'entreprise, et bien plus encore. Notre culture est profondément ancrée dans la croissance et soutenue par une équipe de personnes intelligentes, dynamiques et enthousiastes. Nous utilisons les données pour apprendre, améliorer et adapter en permanence. Nous favorisons un environnement dans lequel chacun est encouragé à partager ses idées, à repousser les limites, à prendre des risques calculés et à voir ses visions se concrétiser. Why Mistplay? We strive to make our work environment as inviting and fun as possible Working at Mistplay is coupled with a whole array of perks that we've adopted virtually and in‑person: Team Lunches, game nights, company‑wide events, and so much more. Our culture is deeply rooted in growth and upheld by a team of smart, dynamic, and enthusiastic people. We utilize data to constantly learn, improve, and adapt. We foster an environment where everyone is encouraged to share their ideas, push boundaries, take calculated risks, and witness their visions come to life. #J-18808-Ljbffr