Top Machine Learning Engineer Jobs in NYC
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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.
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.
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.
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.
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.
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world's relationship ...
Part of a central data science team responsible for ensuring metrics consistency between operational teams and executive level business reporting. Collaborate with cross-functional partners on product and business problems. Apply quantitative analysis and data presentation to develop strategies and solve business challenges.
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The Principal Data Scientist will drive experimentation practices and analyses to enable trustworthy decisions at scale. They will have expertise in SQL, Python, Spark, AWS, and Databricks.
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Seeking a Senior Staff Machine Learning Engineer to drive new initiatives in AI products at Taskrabbit. Responsibilities include developing advanced ML models, collaborating with cross-functional teams, and working on search platforms using NLP and graph analysis.
Seeking a Principal Machine Learning Engineer at Atlassian to drive the development and implementation of cutting-edge machine learning algorithms, collaborate with teams to integrate AI functionalities into products, and provide guidance to emerging ML engineers. Must have a Master's or PhD in a quantitative subject.
Design, implement, and deploy AI/ML solutions for complex business problems at JPMorgan Corporate Investment Bank. Responsibilities include implementing AI/ML services, designing data pipelines, and analyzing model performance.
Build, optimize, and deploy machine learning models to support identity resolution and ads attribution. Collaborate with cross-functional teams to meet company objectives and stay up-to-date with the latest technology in machine learning.
Create models to drive value for users, advertisers, and the company. Evaluate technical tradeoffs, perform code reviews, build robust products, and iterate quickly.
Design, implement, and scale critical machine learning components and services to support Snap's most strategic initiatives. Build a next-generation training framework that can support large-scale model training. Perform training and model performance optimization. Develop an AutoML platform and automate the machine learning model lifecycle. Provide technical direction that influences the entire company.
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.
Build, orchestrate, and monitor model pipelines, scale machine learning algorithms, implement ML Ops, write production-ready code, collaborate with client teams, and contribute to researching and evaluating new technologies.
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.
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.
Experiment with state-of-the-art algorithms to improve knowledge retrieval and search efficiency, develop NLP and Gen AI models for customer support, collaborate with cross-functional teams, monitor and evaluate model performance, and prepare reports on model trends.
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.
Develop and implement machine learning models for fraud detection, analyze large datasets, collaborate with cross-functional teams, monitor model performance, and stay up-to-date with the latest machine learning and fraud detection techniques.
Develop and implement machine learning models for fraud detection, analyze datasets for fraudulent activities, collaborate with teams to mitigate fraud risks, monitor model performance, stay updated on machine learning trends, and prepare reports for stakeholders.
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.
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