Top Senior Machine Learning Jobs

Design and build end-to-end software products for autonomous vehicles, leading projects in full-stack development, cloud infrastructure, and machine learning pipelines while mentoring junior engineers.

The Staff AI/ML Engineer will design and implement scalable ML infrastructure solutions, lead projects, mentor peers, and enhance ML productivity at GM.

Develop and deploy machine learning solutions for autonomous driving, collaborating with cross-functional teams and mentoring engineers for technical excellence.

The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, drive AI initiatives, and collaborate cross-functionally to enhance SailPoint's AI capabilities.

The role involves developing new methodologies for advertising conversion modeling using advanced machine learning techniques, supporting various quantitative research aspects. Candidates should have extensive experience in statistical and deep learning methodologies, contribute to research, and build generative models for ad optimization.

The role involves developing novel methodologies for conversion modeling in advertising, using machine learning and statistical techniques to enhance performance and optimization.

As a Senior AI Engineer, you'll develop and deploy innovative AI solutions for the fashion industry, collaborate with cross-functional teams, and refine machine learning models to enhance product offerings.

Senior Machine Learning Engineer role focusing on building and improving AI evaluation infrastructures, collaborating with a multidisciplinary team, and contributing to the development of a scalable evaluation platform.

Lead and mentor a team of machine learning engineers, drive ML projects, and collaborate across departments to enhance product features and model improvements.

Design and develop machine learning models for UAS threat detection, lead data science efforts, analyze multi-source data, and provide technical guidance.

Design and deploy machine learning models for unmanned aircraft systems focusing on autonomy, navigation, and perception. Responsibilities include optimizing AI models, implementing algorithms, and integrating AI outputs into tactical networks.

The Machine Learning Researcher will design datasets and evaluate environments for agentic systems, focusing on data quality and benchmarking model performance in RL settings. They will collaborate with teams to translate workflows into evaluative frameworks and improve the understanding of high-quality datasets.

Develop AI approaches using structured and unstructured data, build ML models, perform statistical analysis, and collaborate with stakeholders and experts.

Develop novel AI approaches for healthcare using structured and unstructured data, build ML models, conduct experiments, and collaborate with stakeholders.

Manage a team of Machine Learning Engineers, architecting systems for content integrity, and ensuring effective model training and deployment.

The Senior Principal, ML/AI will lead cross-functional teams in developing and implementing ML/AI solutions, driving significant business impact through innovative technical leadership over a defined roadmap.

Lead cross-functional ML/AI initiatives, drive technical roadmaps, mentor teams, and deliver impactful ML/AI solutions for business growth.

The Director of Prediction and ML Planning leads machine learning teams to advance AI-driven behavior in autonomous vehicles, ensuring technical breakthroughs and organizational growth.

Lead a team of machine learning engineers and data scientists to develop algorithms for personalized shopping, enhancing client engagement and driving growth through AI and data science.

The role requires developing machine learning models for cyber threat detection, optimizing response times, and utilizing innovative tools for cybersecurity applications.

Develop and improve machine learning models and systems for clinical outcomes. Lead ML initiatives, mentor teams, and establish best practices in AI. Collaborate across engineering, product, and design for data-driven solutions.

The role involves designing and scaling ML systems for prediction and recommendation, mentoring junior engineers, and leading projects.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

The Senior Machine Learning Engineer will utilize deep experience and insights to enhance communication and digital interactions through advanced machine learning tools and algorithms, focusing on unstructured data.

The Machine Learning Scientist will research, develop, and deploy machine learning solutions for real-time healthcare decision systems focusing on maternal health. Responsibilities include evaluating methodologies, collaborating with teams, and achieving product development goals.