Top Remote Senior Level Machine Learning Jobs in NYC

Seeking a Principal Machine Learning Engineer at Atlassian to drive the development and implementation of cutting-edge machine learning algorithms, collaborate with teams to integrate AI functionalities into products, and provide guidance to emerging ML engineers. Must have a Master's or PhD in a quantitative subject.

Build CV models to extract structure from unstructured, information-dense 3D scans. Work with product and research teams to identify opportunities for improvement. Develop both generic models and fine-tune models for specific applications. Apply machine learning techniques throughout the engineering and product organization. Collaborate with product owners to deliver value to customers.

Lead the development of AI and Machine Learning solutions to enhance user experience and workflow efficiency of enterprise services at ServiceNow. Collaborate with a team to build intelligent software and drive innovation using advanced technologies. Play a key role in building and evolving the AI platform to create new work experiences.

Seeking a Machine Learning Architect to enhance Machine Learning and Artificial Intelligence R&D strategy to personalize the Qualtrics experience. Responsibilities include designing AI architectures, selecting appropriate AI technologies, guiding machine learning direction, collaborating with cross-functional teams, and optimizing ML systems for performance and scalability.

Develop and implement cutting-edge generative AI models and algorithms specifically tailored for healthcare applications. Contribute to improving patient care, optimizing clinical workflows, and advancing medical research.

As a Staff Machine Learning Engineer at Personio, you will be at the forefront of shaping their Machine Learning landscape. Your responsibilities will include providing technical leadership, collaborating with cross-functional teams, writing high-quality code, analyzing complex technical problems, and driving innovation and improvements. The role requires a Bachelor's degree in Computer Science or a related field, 10+ years of experience in software engineering with 5+ years of experience in Machine Learning, strong proficiency in Pytorch, Tensorflow, and NLP, and excellent problem-solving and communication skills.

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement.