Top Senior Level Machine Learning Jobs in Washington DC,
As a Senior Staff Machine Learning Engineer at Liftoff, you will own and develop ML models with direct business impact, mentor team members, monitor latest ML research, and influence team roadmaps. Requires 10+ years of ML experience, hands-on experience with deep neural networks at scale, strong coding skills, and a degree in Machine Learning, Math, Physics, or related field. Full-time remote work available in specified states with a base salary ranging from $250,000 to $315,000.
The Manager of Machine Learning Engineering at Samsara leads teams in building and managing machine learning solutions for customers, focusing on computer vision, sensor fusion, and AI deployment. This role is fully remote in the US and Canada, with a focus on impactful technology development for industries like transportation and manufacturing.
Senior Manager role at ServiceNow overseeing ML projects from planning to delivery with a focus on team management, strategic planning, and cross-functional collaboration. Requires 8+ years in Software Engineering with a Bachelor's degree or 5 years with a Master's degree, and at least 4 years in Software Engineering Management.
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Shape the future direction of the organization by leveraging the latest advancements in AI/ML. Collaborate with cross-functional teams to build and iterate on large-scale Machine Learning systems. Contribute to the technical strategy for the machine learning lifecycle.
Responsible for developing innovative and practical Generative AI applications for Tempus product line. Collaborate cross-functionally with other teams to understand needs and requirements. Conduct research and exploration of generative AI techniques, with a specific emphasis on healthcare applications. Design and implement generative AI models tailored for healthcare scenarios. Collaborate with domain experts, clinicians, and researchers to validate and refine the models' outputs.
Build and optimize software applications for machine learning models. Develop tools and infrastructure for research scientists to train models. Enable rapid experimentation and collaboration with Data Engineers and Research Scientists.
Leading the ML team at Replicant, specializing in Conversational AI and LLMs, to create efficient and effective solutions for customer service automation.
Staff Machine Learning Engineer at Path Robotics focusing on advancing AI-driven robotic welding methods by leading R&D initiatives, building foundational computer vision and machine learning models, and collaborating with product groups for technology transfer. Requires a PhD in Computer Science and over 5 years of research experience in machine learning with Python expertise.
The Senior AI Research Scientist will be responsible for researching, designing, and implementing state-of-the-art deep learning algorithms for industrial machine vision applications. They will work on solving real-world problems in the manufacturing industry by applying the latest trends in computer vision and natural language processing algorithms.
Softrams is seeking a Machine Learning Engineer to work with a software application development project team and implement analytical applications for federal clients in the Baltimore-Washington metro area.
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