Top Senior Level Machine Learning Jobs
Develop and implement machine learning models for fraud detection, analyze datasets, collaborate with cross-functional teams, monitor model performance, and stay updated on the latest machine learning and fraud detection techniques.
As a Senior Machine Learning Engineer, you will develop robust, scalable ML systems using Python and TensorFlow. You will work collaboratively with Data Scientists to turn prototype algorithms into customer-facing solutions and provide technical leadership to junior team members. Your role also involves building data pipelines, collaborating with Product Managers, and making intelligent technical decisions to enhance personalization capabilities.
Lead the development and implementation of analytical capabilities and applications, creation of machine learning models and pipelines, development of personalization services, technology proof of concept projects, standardization of machine learning algorithm framework, collaboration with Data Scientists and Analysts, addressing complex technical challenges, analysis of data for insights, and mentoring junior engineers.
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Seeking a highly motivated Senior Staff Machine Learning Engineer to join Taskrabbit's team and contribute to shaping the future of ML/AI. Responsibilities include designing, developing, and deploying advanced ML models, collaborating cross-functionally on ML projects, and working on modern search platforms using NLP and graph analysis.
Lead teams to drive strategic direction through collaboration with Applied Science, Engineering, and Product leaders across Capital One. Partner with cross-functional teams to deliver AI-powered products and engage in high-impact applied research to enhance customer experiences. Build AI foundation models using a variety of technologies.
Design, implement, and scale critical machine learning components and services, build next-generation training framework, perform model performance optimization, develop AutoML platform, collaborate with teams, provide technical direction, advocate for best practices
Design, develop, and program methods, processes, and systems to analyze big data sources and generate actionable insights. Collaborate with product and service teams to identify questions and issues for data analysis and experiments. Develop software programs, algorithms, and automated processes to cleanse and evaluate large datasets. Communicate insights and findings to stakeholders.
Lead and contribute to developing and implementing machine learning models and algorithms for a tech company in the TV advertising industry, focusing on scalability, performance, and innovation. Responsibilities include designing and optimizing models, preprocessing data, deploying models, mentoring junior engineers, and collaborating with cross-functional teams. Requires 10+ years of experience in backend systems with a specialization in machine learning, a degree in Computer Science or related field, familiarity with core ML technologies, and expertise in machine learning algorithms.
Oversees end-to-end analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
As a Staff Machine Learning Engineer, you will lead the development of machine learning models to simplify shopping experiences for pet parents and improve product discovery on Chewy's platform. You will collaborate with product and engineering teams, publish research papers, and deploy solutions at scale. Your role will involve optimizing relevance, ranking, and predictive models to enhance Chewy's advertising solutions.
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