Top Hybrid Machine Learning Jobs in NYC
Lead the optimization and operation of Large Language Models (LLM) aided AI products, collaborate with cross-functional teams to develop scalable LLM-based products and reusable back-end APIs, ensure APIs are scalable and performance-efficient, and foster a culture of collaboration and efficiency.
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.
Featured Jobs
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.
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.
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.
Looking for a Machine Learning Engineer with expertise in Python, Machine Learning, and Cloud Platforms to join the Optimization team at Beeswax, a part of FreeWheel. Responsibilities include working on computational challenges in user response prediction, bidding optimization, forecasting, and more. The role involves contributing to software engineering and machine learning projects, developing data pipelines, training and deploying machine learning models, and collaborating with teams to provide technical solutions.
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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