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Manager, Machine Learning - Community Support Engineering Jobs

380 Job Offers

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Senior ML Platform Engineer
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United States , Boston
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150000.00 - 210000.00 USD / Year
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Whoop
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AI/ML Engineer - Public Sector
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United States
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Not provided
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Unstructured
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Senior Software Engineer
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United States , Dayton; Woburn; Arlington
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134000.00 - 184000.00 USD / Year
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STR
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Research Manager, Foundation Models
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United States
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360000.00 - 450000.00 USD / Year
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Runway
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Data Infrastructure Engineer
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United States , New York or DC
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Not provided
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Orbis Consultants
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GenAI Solutions Engineer
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Australia
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Magentus
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Senior Platform Engineer, ML Data Systems
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United States , Mountain View
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137871.00 - 172339.00 USD / Year
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Khan Academy
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ML Platform Engineer
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United States
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Duetto
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Python Data/ML/AI Engineer
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United States , Tampa
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Robert Half
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Business Process Manager
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India , Bangalore
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Hewlett Packard Enterprise
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AI Lead Engineer
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India , Bangalore
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Hewlett Packard Enterprise
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PhD Student AI Application Energy Management
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Germany , Wolfsburg
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Volkswagen AG
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Software Engineer Staff
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India , Bangalore
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Hewlett Packard Enterprise
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Staff Product Manager, Data Platform
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United States , San Francisco
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207000.00 - 244000.00 USD / Year
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Checkr
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AI/ML Engineer
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India , Chennai
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Citi
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Insights & Analytics Area Manager Growth & Marketing
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Sweden , Malmö
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IKEA
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Senior AI Infrastructure Engineer
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United States , Bothell; Overland Park; Bellevue
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113600.00 - 205000.00 USD / Year
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T-Mobile
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Principal Data Scientist
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United States , Bellevue; Overland Park
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127400.00 - 229800.00 USD / Year
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T-Mobile
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Senior Data Engineer
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India , Mumbai
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Cogoport
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Automation Engineer
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United States , Philadelphia
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Robert Half
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Explore Manager, Machine Learning - Community Support Engineering jobs, a pivotal leadership role at the intersection of advanced AI, customer success, and technical team management. This profession involves overseeing the development and implementation of machine learning systems specifically designed to enhance user support experiences and empower community engagement platforms. Professionals in this field bridge the gap between cutting-edge ML research and real-world application, ensuring that automated support tools are effective, scalable, and ethically sound. Typically, a Manager in this domain leads a team of machine learning engineers and data scientists. Common responsibilities include defining the technical roadmap for ML-powered support solutions, such as intelligent chatbots, recommendation systems for help content, sentiment analysis tools, and automated ticket routing. They are accountable for the entire ML lifecycle—from problem scoping and data acquisition to model training, deployment, monitoring, and iterative improvement. A key focus is on leveraging ML to improve community satisfaction, reduce resolution times, and scale support operations efficiently. The role demands a hybrid skill set. Technical requirements almost always include a strong foundation in machine learning algorithms, natural language processing (NLP), software engineering principles, and data infrastructure. Proficiency in programming languages like Python and familiarity with ML frameworks (e.g., TensorFlow, PyTorch) and cloud services are standard. Equally important are leadership and strategic skills: the ability to mentor engineers, collaborate with cross-functional partners in product and community teams, and communicate complex technical concepts to non-technical stakeholders. A deep understanding of user support dynamics and community management is crucial for aligning technical projects with user needs. Candidates exploring these jobs should generally possess an advanced degree in computer science or a related field, coupled with proven experience in both hands-on ML development and people management. Success in this profession hinges on a passion for using artificial intelligence to foster positive, helpful communities and build seamless support ecosystems. For those seeking to lead impactful teams that directly enhance user experience through intelligent systems, Manager, Machine Learning - Community Support Engineering jobs offer a challenging and rewarding career path at the forefront of applied AI.

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