Top Machine Learning Jobs in Lisbon

As Vice President in the Machine Learning Scientist - NLP team, responsible for applying advanced ML techniques to tasks like NLP, speech analytics, time series, and recommendation systems. Collaborate with various teams, drive firm-wide initiatives, develop ML models, and contribute to knowledge sharing community. PhD in a quantitative discipline with 3 years of industry experience or MS with 5 years. Strong background in NLP, deep learning, machine learning toolkits, big data, and scalable model training. Experience in designing experiments, intrinsically evaluating model performance, and effective communication.

Machine Learning Scientist specializing in Natural Language Processing (NLP) at a senior associate level. Responsibilities include researching and implementing machine learning models, collaborating with cross-functional teams, and driving firm-wide initiatives. Required qualifications include a PhD in a quantitative discipline or an MS with 3 years of industry experience, expertise in NLP and deep learning, proficiency in machine learning toolkits, and strong communication skills.

Research, develop, and implement state-of-the-art machine learning models for NLP, speech recognition, time series predictions, and recommendation systems. Collaborate with various teams to deploy solutions and drive firm-wide initiatives. Independently study, research, and experiment with new innovations in machine learning.

As a Senior Associate Machine Learning Scientist, you will leverage advanced machine learning techniques to tackle challenges in natural language processing, speech analytics, time series, and recommendation systems. You will collaborate with multiple teams to develop and deploy machine learning models, while also engaging in research and knowledge sharing within the organization.

Lead a modeling or data science engagement end-to-end, act as a subject matter expert and advisor, proactively monitor model performance and customer behavior, mentor junior team members.

Join as an Applied AI ML Senior Associate in the Business Modeling organization responsible for developing cutting-edge models in Marketing, Finance, and Operations domains. Utilize advanced analytics to solve complex business problems, generate actionable recommendations, and contribute to the full modeling lifecycle. Required skills include proficiency in Python, SQL, and experience in machine learning, optimization, and statistical modeling.

The Senior Machine Learning Engineer will create end-to-end AI and machine learning solutions, collaborating with stakeholders to define project requirements, gather data, and deploy models into production. Responsibilities include analyzing data for insights, managing projects from start to finish, and staying updated on industry trends to drive innovation.

The Machine Learning Engineer will develop large-scale distributed training pipelines, build low-latency inference systems, and optimize model performance using GPU acceleration. Collaborating with researchers, the role involves enhancing ML frameworks and automating experiments while working within high-pressure trading environments.

As a Staff Software Engineer for Machine Learning Infrastructure, you will develop scalable machine learning workflows and backend infrastructure for training, evaluation, and inference, while managing data systems and collaborating with product teams to enhance Snapchat's capabilities.

The Software Engineer will work on machine learning infrastructure to enhance Snap's core products, contributing to innovations in augmented reality and messaging technologies. Responsibilities include developing and optimizing machine learning systems, collaborating with diverse teams, and engaging in dynamic in-office collaboration.

The Director of Data Science will lead the data science team to support revenue growth through advanced analytics and insights into ad performance, audience engagement, and strategic data projects. They will partner with executives, manage multiple teams, and drive operational improvements using data.

Snap Inc is looking for a Machine Learning Engineer with 3+ years of experience to create models, evaluate technical tradeoffs, perform code reviews, and build scalable products. Strong understanding of machine learning approaches and algorithms is required. Collaborative and mentorship skills are essential.

Snap Inc is seeking a Machine Learning Engineer with 3+ years of experience to create models driving value for users and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building scalable products. The ideal candidate should have a strong understanding of machine learning algorithms, prioritize tasks independently, and collaborate effectively with partners.

Snap Inc is looking for a Staff Machine Learning Engineer with 8+ years of experience to create models that drive value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building lasting products. Preferred qualifications include advanced degree in computer science and experience with machine learning frameworks.

The Machine Learning Engineer at Snap Inc will create models to drive value for users, advertisers, and the company, evaluate technical tradeoffs, perform code reviews, and build robust products. Skills required include strong understanding of machine learning algorithms, ability to prioritize tasks, collaboration skills, and problem-solving abilities.

Snap Inc. is looking for a Machine Learning Engineer with 5+ years of experience to create models that drive value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, building scalable products, and iterating quickly without compromising quality.

Snap Inc. is seeking a Machine Learning Engineer with 5+ years of experience to create models that drive value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building scalable products. Strong collaboration, problem-solving, and mentorship skills are required.