Top Machine Learning Jobs

Design and build machine learning models for Zillow's product features, optimize AI components, and mentor engineers within a cross-functional team.

The Machine Learning Engineer will design and implement advanced ML models for energy systems, collaborating with R&D teams to tackle challenges in battery technology.

The role involves designing and implementing ML models for battery and energy systems, collaborating with R&D teams, and conducting rigorous experimentation.

The Machine Learning Engineer will design high-throughput data pipelines, productionize ML models, and collaborate with researchers and QA teams to enhance model performance and scalability in financial data processing.

As a Scientist in Machine Learning, you will develop novel models for RNA structure and drug targeting, advancing the R&D platform and collaborating with interdisciplinary teams.

The Senior ML Engineer will develop and optimize machine learning solutions for audience intelligence, build production pipelines, and collaborate with cross-functional teams to enhance user engagement and revenue.

The Senior Computational Biologist/ML Scientist will lead drug discovery efforts using advanced computational methods, integrating various omics datasets, and employing machine learning to impact mRNA therapeutics development.

The role involves developing ML and AI solutions, managing a data science team, engaging clients, deploying models, and optimizing data pipelines. Candidates need strong consulting and technical skills, with a focus on collaboration and impactful outcomes.

The Senior Machine Learning Engineer will develop and optimize production machine learning models, implementing MLOps practices, monitoring performance, and collaborating across teams.

Design, train, and maintain machine learning models for aerial target detection and classification. Oversee dataset pipeline and deployment of models, ensuring performance in real-world operations.

The intern will build and improve machine learning models, analyze datasets, support data pipeline development, and collaborate with engineers on a defined ML project, documenting findings throughout the internship.

The Senior Machine Learning Engineer will lead the perception stack, focusing on detection, tracking, classification, and sensor fusion for targeting systems, with responsibilities including model development and real-time optimization on embedded devices.

As a Machine Learning Engineer, you will design, build, and improve ML models for Spotify's subscription services, collaborating with cross-functional teams to enhance user experience and increase subscriber retention.

The role involves building and deploying machine learning models, collaborating with engineers and product teams, and enhancing customer experience through ML solutions.

The Senior Machine Learning R&D Engineer will innovate in spatial computing, develop ML algorithms, process 3D data, and collaborate with teams to enhance Matterport's platform.

As a Senior Machine Learning Engineer for the Localization team, you'll improve ML systems for pose estimation, integrate computer vision models, and maintain coding best practices. You'll also collaborate closely on model validation and contribute technically to team architecture.

The Principal Machine Learning Engineer will lead AI product development, integrating AI frameworks into financial planning, collaborating cross-functionally, and mentoring engineers while managing AI model lifecycles and optimization tasks.

Design and build state-of-the-art speech and ML models, convert research into B2B products and APIs, optimize and scale production pipelines, collaborate cross-functionally, and maintain deployed models.

The Principal AI/ML Engineer leads complex model development, optimizes data pipelines, collaborates with data science teams, and contributes to strategic AI initiatives.

As a Senior ML Engineer for Payments, you will develop AI solutions for payment experiences, optimize transaction processing, and ensure system reliability while mentoring teammates and collaborating with cross-functional teams.

As a Senior Software Engineer at NVIDIA, you will design and implement inference software optimizations for AI applications using TensorRT, collaborating with deep learning experts to influence hardware and software design.

The Senior Analyst in Predictive Analytics and Machine Learning develops and maintains statistical models to support business decisions, monitors model performance, and collaborates with stakeholders across the company.

Design, build, and deploy scalable AI and machine learning solutions, leading full AI lifecycle, collaborating with teams, and ensuring systems align with client needs.

The Machine Learning Engineer will enhance AI capabilities at the National Air and Space Intelligence Center through data analytics, algorithm development, and machine learning techniques for data processing and analysis.

The role involves developing and deploying machine learning solutions, optimizing models, and collaborating with cross-functional teams. Responsibilities include cloud architecture, algorithm engineering, and infrastructure best practices.