Top Senior Level Machine Learning Jobs in NYC

Snap Inc is looking for a Machine Learning Engineer with 5+ years of experience to create models that drive value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building robust products. The ideal candidate should have a strong understanding of machine learning approaches and algorithms, prioritize duties, and collaborate effectively.

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.

Lead the development of an integrated framework to enhance vaccine target selection and optimization strategy through AI/ML predictions in RNA therapeutics design. Collaborate with multidisciplinary teams to drive innovation in the RNA platform and leverage latest advances in AI/ML applications. Communicate findings and lead a team of AI/ML Data Scientists.

Seeking a Senior Staff Research Developer with deep expertise in AI research to lead experimental projects optimizing large language models and enhancing model training strategies.

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.

Lead Machine Learning Engineer at GoodRx responsible for developing and implementing analytical capabilities, machine learning models, and data services/products. Must have a Master's degree in relevant fields and 7+ years of experience in building machine learning systems at scale.

Lead and grow a team to build state of the art event-driven real-time ML ecosystem, provide technical direction for the ML application and pipeline management team, partner with Product and stakeholders to deliver innovative platform solutions for scalable ML development and deployment, mentor and facilitate individual careers, maintain a culture of innovation, quality, and transparency, work in an Agile environment.