Top Senior Machine Learning Jobs

Design and optimize ML models for localization in autonomous trucks using sensor fusion and map-based techniques. Collaborate with teams to enhance model robustness and integrate into the autonomy stack.

The Senior ML Engineer designs and develops advanced machine learning models, collaborates with teams, monitors model performance, and implements MLOps practices for scalability.

The Staff Security Machine Learning Engineer will develop machine learning solutions for security, lead projects, collaborate with teams, and ensure compliance with data privacy regulations.

The Senior ML Systems Engineer will build and maintain the training framework for large-scale language models, focusing on distributed training and performance optimization.

The Senior Machine Learning Engineer will implement and enhance ML solutions, working closely with various business departments to deliver scalable applications and improve MLOps practices.

Seeking a Senior Applied Machine Learning Engineer to develop and integrate AI solutions for procurement optimization in construction, enhancing decision-making and insights.

The AI/ML Engineer designs and implements AI/ML algorithms, manages data pipelines, and improves models based on feedback, requiring strong programming and analytical skills.

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.

The Senior Machine Learning Engineer will build and operate ML systems, manage the model lifecycle, and mentor team members while ensuring sustainability data accuracy.

The role involves designing ML models for autonomous driving, collaborating on stack requirements, and mentoring team members on high-quality code and ML practices.

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.

The Director of Machine Learning will lead the development of ML models for audio, vision, and language applications, mentor the team, ensure project milestones are met, and collaborate with different stakeholders.

The Lead Data/ML Engineer will design and maintain scalable data pipelines and AI systems, ensuring data reliability and collaboration with product teams.

Lead the development of forecasting models and systems to drive informed decision-making in OpenAI's Strategic Finance team, collaborating with various cross-functional teams.

This role focuses on optimizing neural model architectures and systems for high performance across multiple GPU/TPU platforms, collaborating with various teams to enhance model efficiency and performance under real-time constraints.

The Principal Machine Learning Engineer will work on vLLM systems, optimize machine learning algorithms, mentor engineers, and enhance AI deployment efficiency.

You will design and maintain models for understanding user behavior, improve ad ranking and conversion predictions, and collaborate on team direction.

As a Staff Software Engineer on the Machine Learning team, you'll build scalable systems, integrate ML models, and oversee code quality and project mentorship.

Design and deploy scalable machine learning models, analyze data, and improve model performance in a collaborative environment.

The AI/ML Scientist will develop machine learning solutions for physics-based simulations, ensuring production readiness while collaborating with cross-functional teams and addressing customer challenges.

Lead a team of ML engineers and software engineers focused on Ads Content Understanding, driving innovation and efficiency in Ads Monetization.

The Senior ML Research Engineer will develop manipulation algorithms, motion planning models, and enhance robot learning stacks for high-DOF robotic tasks.

The Applied AI/ML Engineer will design, implement, and scale models for urban simulations, collaborating with teams to ensure alignment with customer needs and product requirements.

Develop and optimize machine learning models and pipelines for autonomous vehicles, focusing on behavior prediction. Collaborate with teams, lead projects, and ensure high-quality implementations.

As an AI/ML Engineer, you will develop and optimize AI solutions for renewable energy assets, collaborating with a skilled team to deploy algorithms in real-world projects.