Top Senior Machine Learning Jobs

Develop machine learning models for search ranking and personalization at Faire, leveraging data to help local retailers thrive.

Lead ML engineering efforts for behavior planning in autonomous vehicles, develop complex models, mentor teams, and advance state-of-the-art technology.

The Staff Applied Scientist leads the development of machine learning solutions, collaborates with stakeholders, mentors team members, and contributes to intellectual property.

The Sr. Machine Learning Engineer will use ML and DL models to solve complex problems, mentor junior engineers, and assess algorithm performance while collaborating with a team.

Lead the development and operationalization of machine learning systems at Taco Bell. Manage a team, optimize models, and ensure performance and reliability in real-time applications.

Lead definition and implementation of the companys ML strategy and infrastructure. Build end-to-end production ML systems (data pipelines, training, evaluation, serving), own data strategy and feedback loops, integrate ML with product/backend, write production-quality code, and recruit/mentor the ML team as it scales.

Lead initiatives to enhance the ML platform, mentor junior engineers, build scalable ML models, and ensure code quality while driving innovation in a startup environment.

Lead design and build scalable data ingestion and feature pipelines for foundation models; implement data quality monitoring; model and integrate new data sources; run experiments measuring data impact; optimize ML training and hyperparameters; collaborate with ML, platform, and infra teams; lead technical initiatives and mentor team members.

Lead the development of end-to-end driving models for ADAS systems, focusing on reinforcement learning, multi-modal sensor data, and real-time deployment challenges.

As a Senior ML Engineer, you'll develop scalable solutions for Carvana's communication platform, focusing on machine learning and data integration, while collaborating with data science and product teams for continuous innovation.

As a Staff Machine Learning Engineer Tech Lead, you'll collaborate with teams to enhance dataset quality, develop ML models, and improve data selection methodologies.

Design, develop, and deploy ML tools and libraries to enhance development and inference for autonomous driving applications, collaborating with cross-functional teams.

The Machine Learning Engineer will develop and maintain scalable ML systems, collaborate across teams, and innovate solutions for real-time applications to enhance customer experiences.

The role involves building AI technologies for customer service, developing ML systems, and collaborating with cross-functional teams to enhance user experiences.

The Engineering Manager will lead a team of machine learning engineers, drive development best practices, and ensure customer-centric outcomes through effective collaboration and communication.

The Senior Machine Learning Engineer will design, prototype, build AI systems, evaluate ML models, and improve Vectara's AI Agents with a focus on reliability and performance.

Develop and maintain predictive models for quality, risk adjustment, and operational efficiency; analyze multi-source healthcare data; implement ML solutions, monitor model performance, and experiment with emerging AI to improve outcomes and workflows.

The Senior Machine Learning Engineer will design and implement ML systems, optimize data pipelines, and collaborate on ML workflows for personal injury legal solutions.

Lead the design and delivery of large-scale machine learning systems, mentoring engineers while driving technical strategy and collaboration across teams in AEC solutions.

Own the full ML lifecycle for ads bidding stack, developing models for auction optimization and collaborating with a team to enhance platform effectiveness.

Develop and optimize machine learning algorithms for LLMs, collaborate on research and engineering solutions, and manage deployment pipelines.

As a Founding Engineer, you'll enhance AI/ML performance, build infrastructure for model training, and improve user experience at a fast-paced startup.

As a Foundry Automation ML Engineer at Intel, you will develop and maintain scalable ML solutions, automate pipelines, and optimize performance for AI models in semiconductor manufacturing.

Design, implement, train, evaluate, and deploy production-grade machine learning models and pipelines. Collaborate with cross-functional teams to translate product requirements into scalable ML solutions, monitor model performance, troubleshoot lifecycle issues, and mentor junior engineers.

Lead design, implementation, deployment, and maintenance of production-scale machine learning systems. Provide technical leadership, mentor engineers, translate product needs into scalable ML architectures, and drive best practices across data pipelines, modeling, evaluation, and monitoring.