Top Senior Machine Learning Jobs

Design and develop scalable AI capabilities, integrating ML models and APIs. Collaborate with teams to ensure solutions meet security and performance standards in cloud environments.

Develop and deploy machine learning solutions, focusing on predictive planning and ensuring reliability of ML infrastructure in production settings.

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.

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

As a Senior Machine Learning Engineer, you will build and operate ML systems for real-time personalization, oversee projects from data exploration to deployment, and collaborate to improve system reliability and performance.

Lead the development of machine learning methods for AI-native manufacturing systems, focusing on process optimization and predictive modeling based on large-scale data.

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

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.

The Senior Machine Learning Engineer will design and optimize ML discovery features, oversee projects, mentor engineers, and manage the ML lifecycle from data ingestion to model deployment.

Lead the design, development, and implementation of advanced machine learning models, collaborating with teams to enhance services and drive insights.

As a Staff Machine Learning Engineer, you'll build production-scale ML models for personalization and risk management, mentor junior scientists, and collaborate with cross-functional teams to drive impactful product features.

The ML Engineer will design and implement AI solutions for Axon's devices, collaborating with scientists to enhance model efficiency and ensure responsible AI deployment.

The Senior ML Engineer will develop LLM-based applications, predictive models for patient outcomes, and evaluation frameworks to optimize AI in healthcare.

Lead the development of advanced machine learning models and systems, architect scalable solutions, mentor engineers, and drive improvement initiatives for product performance and innovation.

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

The ML Researcher / Modeling Quant will design, train, and optimize ML models for trading strategies, ensuring efficient production and integration with trading operations. The role emphasizes teamwork and rapid prototyping under real trading constraints.

Implement and optimize production-ready analytics code, maintain Python repositories, research data sources, build predictive models, and collaborate with teams.

The Senior Machine Learning Engineer will focus on implementing ML algorithms, develop scalable models for recommendations, A/B testing, data analysis, and cross-functional collaboration.

As a Senior Machine Learning Engineer, you'll lead the development of a neural welding simulator, integrating research and production to enhance robotic systems. Responsibilities include building predictive models, collaborating with reinforcement learning engineers, and translating prototypes into maintainable production code.

Develop advanced ML solutions to improve Stripe's payment products. Work on the ML lifecycle from research to deployment, collaborating with product teams.

The role involves designing, deploying, and improving machine learning models for identity verification and fraud prevention at Stripe, collaborating across various teams.

The Machine Learning Engineer will extract features from financial data, build predictive models, and enhance Clair's Data Science platform while collaborating with various teams.

Lead the development of machine learning models for autonomous vehicles, improve data systems, and collaborate across teams to enhance technology and performance.

Lead a team of data scientists developing ML-driven products, managing infrastructure, training models, and ensuring production quality while collaborating with senior leadership.

As a Principal Decision Scientist, you'll utilize machine learning to provide insights and solutions, managing client relationships and leading projects from conception to deployment. You will architect solutions and oversee development, ensuring best practices in coding and model deployment.