Top Senior Machine Learning Jobs

The role involves developing ML-based planning algorithms for autonomous trucks, ensuring safety checks, real-time operation, and keeping up with research. Requires strong communication and collaboration.

Develop and manage end-to-end machine learning pipelines for cybersecurity, focusing on AI solutions for cyber threat detection and mitigation, especially against sophisticated attacks like ransomware.

The Machine Learning Engineer will apply extensive experience in machine learning and data science, focusing on model deployment, data analysis, and causal inference within production environments.

The Senior Machine Learning Engineer will develop and optimize ML infrastructure, create data pipelines, and model orchestration ensuring data quality and performance monitoring.

The role involves designing ML systems using multi-omics data, developing causal models, collaborating with scientists, and optimizing ML methods.

Lead the development of AI-driven machine learning solutions to optimize customer experience through personalization and recommendations, while guiding team technical direction.

Lead the design, development, and implementation of advanced machine learning models, optimizing pipelines, and collaborating with teams to enhance products.

The role involves leading research in probabilistic ML, collaborating with other experts, scaling experimentation, and deploying models. Candidates should have a strong research background and publications in top ML conferences.

Design, develop, train, and deploy machine learning and deep learning models. Perform feature engineering and data processing, apply supervised/unsupervised/reinforcement techniques, and integrate models into production using CI/CD, containerization, cloud platforms, and MLOps practices.

As a Machine Learning Engineer, you will design, develop, and deploy voice and digital agents to manage customer interactions, focusing on reliability and efficiency.

Develop and tune ML models, productionize and deploy strategies for ML systems, and align cross-functionally to communicate performance metrics.

The Staff Machine Learning Engineer will architect and scale ML pipelines for clinical decision-making, ensuring technical standards and global collaboration.

The Senior Machine Learning Engineer will enhance HP's retrieval systems and recommendation algorithms, focusing on AI-driven user interactions and system performance improvements.

As a Senior Machine Learning Scientist, you will develop multimodal foundation models using large-scale single-cell datasets to advance drug discovery, applying deep learning methods and collaborating with biologists and engineers.

Leading the development of ML models for drug discovery, collaborating with multidisciplinary teams, and managing team members while ensuring data-driven decision-making.

Lead ML projects, guiding technical direction and platform capabilities. Collaborate across teams to deliver production ML systems impacting customers. Advocate for AI-first tools and mentor engineers.

The role involves improving machine learning ranking models, implementing algorithms, and taking full ownership of machine learning systems within Quora's product.

The Principal AI/ML Engineer performs technical analysis and deep data analysis, designs AI solutions, builds data pipelines, deploys models and solutions using cloud technologies, and mentors junior engineers.

Develop ML systems for quantum computing, including large-scale training, optimizing GPU kernels, collaborating on data representation, and driving best practices in ML experimentation.

The Applied ML Engineer will design data collection campaigns, develop ML pipelines, analyze sensor data, and collaborate with teams to enhance safety and productivity metrics for wearable solutions.

The Machine Learning Engineer will develop Deep Learning technologies for Computer Vision, SAR, and Geospatial Exploitation, impacting U.S. government issues.

As a Senior Machine Learning Engineer, you will design and train ML models for logistics, manage their production deployment, and optimize their performance while collaborating with the data science team.

The Senior Machine Learning Engineer will develop and deploy AI agents for regulatory analytics and data governance, ensuring compliance and effective risk management.

The role involves researching and developing probabilistic models for multi-sensor fusion and multi-target tracking to enhance real-time airspace awareness systems, as well as transitioning algorithms into production-ready systems.

The Senior ML Engineer will design evaluations for AI features, optimize pipelines, and ensure quality in ML systems while collaborating with cross-functional teams.