Top Senior Machine Learning Engineer 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.
This is a senior-level machine learning engineer role in the Underwriting and Credit team. The engineer will be responsible for building and integrating ML solutions to evaluate customer cash flow risk. They will work cross-functionally with finance, product, and engineering teams to optimize automated decisioning and identify growth opportunities.
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Senior Machine Learning Engineer role at TaskRabbit, focusing on building scalable ML infrastructure, optimizing algorithms, and collaborating with engineering and science teams to enhance business outcomes. Requires 5+ years of experience in Python, TensorFlow, and machine learning.
Design, build, and productionize proprietary machine learning models to solve business challenges. Collaborate with product teams to frame machine learning problems and architect solutions. Stay updated on emerging tech and trends, conduct experiments, and share knowledge with the team. Mentor team members and lead agile development.
Design, build, and enhance batch and real-time inference services and tooling to support ML use cases. Facilitate modelers on the team by providing necessary infrastructure/tools and developing prototypes for future needs. Join a growing team with a significant impact on team culture.
Senior Machine Learning Engineer at Dropbox working on large scale AI/ML systems, collaborating with cross-functional teams, and impacting millions of users.
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Seeking a Lead Principal Machine Learning Software Engineer to join the Central AI team. Responsible for developing and deploying advanced machine learning algorithms and integrating AI functionalities into Atlassian products and services. Requires expertise in Python or Java, experience building and scaling machine learning models, and ability to communicate data science concepts.
As an Applied Machine Learning engineer at Atlassian, you will work on developing cutting-edge machine learning algorithms, training models, and integrating AI functionalities into products. Responsibilities include designing system architectures, conducting model evaluations, and applying AI/ML to enhance Atlassian products.
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Research, design, and build high-impact end-to-end machine learning systems for customer growth. Partner with cross-functional teammates to understand their problems and design solutions. Lead the design of scalable ML solutions in production. Promote and role-model best practices of data science, engineering, and communication throughout the organization. Evangelize ML adoption and innovation across teams. Foster a diverse community of data scientists and ML engineers.
GoodRx is looking for an experienced Senior Machine Learning Engineer to enable and accelerate our machine learning efforts. The ideal candidate should possess practical, hands-on data and analytics technical expertise and strong understanding of various machine learning models. Responsibilities include developing and implementing analytical capabilities, building machine learning models and pipelines, improving infrastructure, and mentoring junior engineers.
Seeking a Machine Learning Infrastructure Engineer to deploy data-driven models into production for drug discovery and materials science. Responsibilities include optimizing development processes, building validation tools, and ensuring models run on customer machines. Preferred applicants have experience in containerized systems, CI/CD, Google Cloud Platform, GPU support, and large-scale computing.
As a Senior Principle Machine Learning Engineer at Atlassian, you will integrate cutting-edge AI capabilities into Atlassian products like Jira and Confluence. Your work will transform how teams collaborate and extract knowledge and insights from data. You will develop innovative machine learning models, analyze large datasets, build robust models, collaborate with cross-functional teams, and promote AI within the organization.
As a Machine Learning Engineer at Dropbox, you will design, build, evaluate, deploy and iterate on large scale ML systems, work with cross-functional teams to personalize users' experiences, and contribute to revolutionizing collaboration tools. Requires 2+ years of ML or AI system building experience and strong analytical skills.
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.
Design equitable and competitive compensation programs, determine base pay based on skills and expertise, three geographic pay zones in the United States, benefits, bonuses, commissions, and equity available.
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Seeking a Senior Machine Learning Engineer to develop NLP algorithms, train large language models, preprocess data, drive entity resolution solutions, collaborate with teams, and contribute to research initiatives. Must have 5 years of ML experience with NLP focus, proficiency in Python and relevant ML libraries, and a Bachelor's degree in computer science or related field.
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.
Seeking an experienced AI/ML generalist to optimize our ad serving platform and consumer facing search products. Responsibilities include managing AI/ML projects, evaluating model performance, implementing procedures and tools, translating research papers into production-ready code, and mentoring junior team members.
Lead Machine Learning Engineer at GoodRx responsible for developing and implementing machine learning models, personalization services, and data products/services. The role involves collaboration with data scientists, analysis of user data, and mentorship of junior engineers.
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.
The Machine Learning Operations Engineer at Squarespace will collaborate with Data Scientists and Engineers to deploy, monitor, and optimize ML models, develop automated pipelines, and improve CI/CD practices. This hybrid role requires strong Python and SQL skills, experience with cloud platforms, and working knowledge of Google Cloud Platform and Vertex AI.
Explore topics related to the safety and security of generative AI, set up research agenda, collaborate with colleagues, and contribute to products. Must have a Ph.D. in machine learning or related field, 5 years of research experience post-Ph.D., and expertise in scientific programming with Python and deep learning programming with Pytorch.
Play a major part in building next generation Large Language Models for Enterprise Language Generation at ServiceNow. Solve real-world challenges using AI/ML expertise and creativity. Collaborate with a team to produce quality software and deliver high-impact solutions.
Join our Data Science and Analytics Engineering team to build scalable and reliable machine learning systems using state-of-the-art technology.
Top NYC Companies Hiring Senior Machine Learning Engineers
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