Top Senior Level Machine Learning Jobs

The Senior Software Engineer will build systems and tools to enable data scientists in creating machine learning applications, improve frameworks for scalable pipeline development, collaborate with product owners, and mentor junior team members within the C3 AI Platform engineering team.

As a Staff Applied ML Scientist, you will develop advanced machine learning algorithms to generate insights from large-scale computer networks, specifically focusing on cybersecurity issues. Your role involves utilizing state-of-the-art machine learning and graph learning techniques, fine-tuning LLMs, and building scalable ML products that enhance security policies for users.

As a Senior/Staff ML Research Scientist at Nuro, you will research and develop advanced machine learning techniques to enhance scene retrieval and search capabilities for autonomous driving systems. In this role, you'll create ML data pipelines, collaborate with infrastructure teams, and implement innovative solutions while maintaining a focus on practical applications for real-world impact.

The Machine Learning Engineer will develop and optimize algorithms for Multi-Agent Planning, 3D Reconstruction, and World Model tasks in autonomous driving. Responsibilities include designing path planning algorithms, improving 3D reconstruction, collaborating across teams, conducting performance analysis, and staying updated on research.

As the Lead Machine Learning Engineer, you will develop and implement machine learning models for digital advertising performance, collaborate with software engineers, innovate ML solutions, mentor a growing team, and ensure models are effective and scalable.

The Senior Machine Learning Engineer will develop and implement scalable machine learning models, focusing on ranking and recommendation systems. Responsibilities include conducting A/B tests, analyzing data, collaborating cross-functionally, and building reusable libraries while maintaining thorough documentation.

In this role, you will lead various data and analytics projects, collaborating with client leaders to address business challenges using data-driven strategies. Responsibilities include designing and executing analytics strategies, mentoring junior staff, and supporting the growth of the consulting practice.