Top Remote Senior Level Machine Learning Jobs in Philadelphia, PA

Seeking a Senior Staff Research Developer with deep expertise in AI research to lead experimental projects in optimizing large language models, innovating data curation strategies, publishing impactful findings, and working autonomously on complex research challenges.

As a Staff Machine Learning Engineer at Personio, you will be at the forefront of shaping their Machine Learning landscape. You will provide technical leadership, guide engineers, collaborate with cross-functional teams, and write high-quality, maintainable code. You should have a strong background in Machine Learning frameworks, including Pytorch, Tensorflow, and NLP. Additionally, you should have experience building machine learning models and a proven track record of technical leadership.

Build and integrate ML solutions for evaluating customer cash flow risk, support multiple products, optimize automated decisioning pipeline, experiment with modeling techniques, and partner cross-functionally with finance, product, and engineering teams.

Seeking a Senior Scientist in AI/ML Cheminformatics to develop new workflows for discovering medicines using advanced AI/ML approaches. Responsibilities include virtual screening, lead optimization, and collaboration with discovery teams. Required qualifications include a Ph.D. in relevant disciplines, experience with deep learning frameworks, proficiency in Python, and knowledge of machine learning best practices.

Senior Software Engineer focused on ML Infrastructure at Thumbtack. Responsible for centralizing, standardizing, and evolving machine learning infrastructure capabilities. Collaborate with engineers, scientists, and product managers to execute on the shared vision for generative AI, feature platforms, model deployment, and monitoring.

Develop ML solutions to increase safety, efficiency, and sustainability of physical operations at Samsara. Collaborate with various engineering teams to deliver core infrastructure and optimizations. Open to candidates in Canada and US excluding specific areas in San Francisco Bay Area and NYC Metro Area.