Top Senior Machine Learning Jobs

The Machine Learning Engineer will build tools for interpretable AI, optimize infrastructure, and integrate workflows into products, ensuring reliability and performance.

Design and maintain datasets, build and evaluate domain-specific ML and vision-language models for real-time privileged access threat detection; deploy and optimize Python/Docker inference services integrated with WebSocket/WebRTC and protocol-level interfaces; monitor and document production models.

The Senior Software Engineer is responsible for designing, developing and maintaining AI-powered services, enhancing ML capabilities, and leading cross-functional teams in a collaborative environment to innovate and implement best practices in document intelligence.

As a Staff ML Engineer, you'll lead complex model quality improvements in clinical AI, spanning research and engineering, optimizing performance under high compliance conditions.

This role involves building and scaling machine learning systems for content understanding, improving quality, and collaborating with cross-functional teams to enhance user experience on Spotify.

As a Principal Machine Learning Engineer, you'll design and implement core ML systems for AI agents, collaborating with cross-functional teams and overseeing the full lifecycle of products from data strategy to deployment.

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 role involves developing scalable ML algorithms, optimizing LLM inference performance, managing model serving pipelines, and collaborating with data engineers for efficient knowledge graph generation.

As a Senior ML Engineer at Waymo, you will work on distilling large LLM/VLM models into smaller, real-time models, focusing on enhancing performance for critical semantics tasks. You will explore distillation techniques to optimize quality transfer from larger models and customize datasets accordingly.

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 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 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.

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

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 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 Machine Learning Engineer will design evaluation frameworks, develop synthetic data pipelines, build evaluation systems, and collaborate with teams to improve model quality in healthcare AI.

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 Machine Learning Engineer will design and optimize machine learning pipelines for AI video models, collaborating across functions and translating model performance into business insights.

The Senior Machine Learning Engineer will design, implement, and scale advanced foundation models, collaborate with researchers, and build AI systems. Requires hands-on experience with distributed training pipelines and proficiency in AI frameworks.

As a Senior Machine Learning Engineer, you will build and productionize models, develop scalable ML infrastructure, and collaborate with teams to optimize model performance while mentoring others.

The Senior AI/ML Engineer will design, develop, and deploy scalable ML systems focusing on LLM applications, collaborating with various stakeholders to enhance healthcare data insights.

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.

Own end-to-end ML projects focused on recommendation and LTV signals: develop, evaluate, and deploy models; build training/scoring pipelines; run A/B tests; monitor production models; collaborate with product and analytics; mentor colleagues.

Lead a team of machine learning data scientists, overseeing model development for fraud detection and risk assessment, and ensuring quality throughout the model lifecycle while mentoring the team.

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