Top Machine Learning Jobs in Lisbon

As a Principal Machine Learning Engineer, you will lead the development of prediction or optimization engines for advertising platforms, driving innovation through AI and machine learning. Responsibilities include designing ad algorithm architecture, developing scalable data analysis methods, and collaborating with cross-functional teams.

The Lead Machine Learning Engineer will develop innovative AI and machine learning solutions for Disney's advertising platform, driving improvements in ad inventory forecasting, experience, pacing, pricing, targeting, and delivery. The role involves designing ad algorithms, conducting scalable data analysis, and collaborating across teams while mentoring junior members.

The Sr. Manager will lead R&D teams to develop driver behavior detection algorithms from smartphone sensor data for Arity. Responsibilities include setting a vision for machine learning applications, aligning with product and engineering teams, and managing diverse data science teams while ensuring successful model deployment and strategic development.

The Machine Learning Engineer II, Economist will design and build machine learning solutions, work in cross-functional teams, and develop impactful solutions to support Instacart's growth. They will collaborate with engineers and product managers to understand problems, recommend solutions, and test them effectively.

As a Senior Data Scientist at Spring Health, you will work with the Customer Experience team to build data products, analyze member mental health journeys, and provide actionable insights to enhance customer satisfaction and product value. Your role involves collaborating with internal teams and implementing AI/ML capabilities to improve mental health care solutions.

As part of the Sponsored Advertising team at Chewy, you will lead machine learning initiatives to enhance product search and ad relevance, collaborating with product leaders to develop and deploy models that improve user engagement and vendor visibility. Responsibilities include building predictive models and sharing insights with leadership.

The Director of Data Science and Machine Learning will lead the Machine Learning, Data Science, and Product Analytics teams, drive data-powered insights for product performance, and collaborate across departments to optimize business growth. Responsibilities include team leadership, defining strategic vision, fostering collaboration, and overseeing the development of ML and DS models.

The Applied AI ML Lead will develop machine learning solutions, mentor AI engineers, and collaborate with product and engineering teams. Responsibilities include enhancing ML workflows, conducting experiments, optimizing models, and integrating Generative AI. A strong technical background and leadership skills are essential.

The Senior Applied Scientist will work on enhancing customer and service provider matching, developing machine learning models, analyzing marketplace dynamics, and evolving monetization strategies to improve the user hiring experience on Thumbtack's platform.

The Applied Scientist will enhance customer-service provider matching through machine learning and optimization, develop predictive models, analyze marketplace dynamics, and manage monetization mechanics to foster marketplace growth at Thumbtack.

As a Research Scientist in NLP at Kensho, you will develop and deploy innovative AI solutions, focusing on areas such as long-context question-answering and alignment techniques. You'll collaborate with a team of experienced scientists to fuel innovation and publish research, while leveraging substantial computational resources for model development.

As a Senior Research Scientist at Kensho, you will work on cutting-edge Machine Learning and Natural Language Processing projects, such as long-context document QA, complex reasoning, and developing Large Language Models. You will contribute to creating evaluation benchmarks and improving alignment techniques while collaborating with academia and leveraging access to high-performance GPUs.

Senior Product Associate in Machine Learning and AI role focused on developing innovative solutions using AI, machine learning, and a design-thinking approach to enhance customer and employee experiences. Responsibilities include new product opportunities identification, user research, product metrics analysis, and collaboration with cross-functional teams.

The Manager of Data Science will lead a team focused on leveraging advanced analytical techniques to solve business problems related to credit risk and home loan acquisition. Responsibilities include strategic thinking, team management, performance tracking, and developing analytics frameworks to drive business insights and strategies. The role requires active participation in developing machine learning algorithms and delivering findings to various leadership levels.

The Director of Data Engineering will lead and grow teams focused on data and software engineering, implement data strategies for the Enterprise Identity Platform, and modernize technology stacks while promoting collaboration across Agile teams. Responsibilities include overseeing AWS deployments, code reviews, and fostering innovation through best practices in data engineering and machine learning.

As a Senior Machine Learning Engineer in the Banking team at Cash App, you will develop and maintain machine learning systems to combat fraud in banking products. Your responsibilities will include designing ML pipelines, creating training platforms for models, and applying best practices to enhance ML solutions.

As a Machine Learning Engineer, you'll analyze complex datasets, develop models and algorithms, manage ML Ops, and enhance customer products. You'll communicate insights to senior management, supervise data analysis, and promote effective cross-functional collaboration within the team.