Top Hybrid Machine Learning Jobs in NYC
Seeking a Senior Machine Learning Engineer to lead a team in building, scaling, and launching AI and Data products. Responsibilities include strategic planning, developing ML/AI products, implementing innovative ML algorithms, and ensuring data privacy compliance. Must have a Master's or PhD in relevant field, 5+ years of ML model deployment experience, and 3+ years of people management experience.
Machine Learning Engineer specializing in NLP to join the Responsible AI team at Grammarly. Develop and implement new ML solutions to improve safety and fairness of Grammarly products. Work in small cross-functional teams to leverage ML advances and human-centered design.
Vice President role in the Machine Learning Scientist - NLP team. Responsible for applying advanced ML techniques to NLP, speech analytics, time series, reinforcement learning, and recommendation systems. Collaborate with various teams to deploy solutions into production and drive initiatives by developing large-scale frameworks for ML models.
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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.
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.
Research, design, and build high-impact machine learning products for customer growth. Contribute to scalable ML systems in production and collaborate with cross-functional teams. Requires 3 years of experience with personalization and familiarity with common ML frameworks like TensorFlow and PyTorch.
Design, build, and manage distributed services and pipelines for underwriting and credit at Cash App. Lead cross-team projects, maintain high code quality, collaborate with various teams, and contribute to the growth of development capabilities. Requires 8+ years of backend software development experience.
Seeking an experienced Machine Learning Infrastructure Engineer to develop, deploy, and manage scalable machine learning solutions within our tech stack. Responsibilities include designing tools and pipelines, orchestrating containerized ML applications, collaborating with data scientists, and ensuring the reliability and performance of ML models.
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