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We believe the current customer experience is only scratching the surface of innovative experiences that are made possible as dating continues to shift online, and that science is at the center of delivering a step-function change for our CX.We are looking for a highly motivated and experienced Machine Learning Engineer to join our team and help us shape the future of machine learning at Grindr.
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How you’ll make an impact: We are looking for a full stack engineer to join the Content Management and Programming Tools team, which builds intuitive tools and services that empower users to enrich, manage, tag, and curate content and entities programmatically.
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Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.
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We are seeking an experienced and hands-on senior software engineer to join our team and drive development and deployment of Applied Machine Learning capabilities into our platform, such as Semantic Search, improved Recommendations, improved Text processing and Translations, and possibly a conversational interface.
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Career Level - IC4As a member of the software engineering division, you will apply intermediate to advanced knowledge of software architecture to perform software development tasks associated with developing, debugging or designing software applications or operating systems according to provided design specifications.
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As a Senior Machine Learning Engineer, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the catalog system and our product knowledge graph at the heart of our fast-growing grocery and retail delivery business.
$255,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Industry experience building and productionizing creative end-to-end Machine Learning systems. 3+ years experience developing and deploying machine learning systems into production.
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Drive and execute on delivering market intelligence and customer insights for enterprise robotics, embodied AI, simulation and machine learning workloads. - Experience with using robotics technologies in industrial use cases, integrations with OT systems, digital twins.
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25 days annual leave, plus paid public holidays Paid sick leave Paid mental health leave Paid wellness leave Learning & development budget Brighten your day budget WFH budget Percent library ️ Paid days off to volunteer for non-profit causes ️US Private Health Insurance UK cycle-to-work scheme.
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Apply now to be part of our innovative platform andhelp shape the future of learning in pickleball. Create a positive and engaging learning environment that fosters skill development, confidence, and a love for the sport.
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A graduate degree or equivalent in Machine Learning, Mathematics, Statistics, Physics, Economics, or a related technical field is preferred. Nice to have: Contributions to an open-source Machine Learning (ML) package, showing your skills in researching, implementing, and evaluating academic papers.
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The primary role is to provide hope, one-on-one support, and mentorship to participants by sharing experience with recovery/resilience and expertise in navigating systems and programs (e.g., Regional Center, Children & Family Services, Special Education Systems, Juvenile Justice Systems, Behavioral Health Care Services, or Residential Centers.
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The Collections Information Manager oversees the day-to-day administration, maintenance, and use of the collections management system and its integrations with related systems such as our Digital Asset Management System.
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Job Title: Financial Systems Analyst Classification: Full-Time, Non-Exempt, At-Will. The Financial Systems Analyst assists in the implementation, maintenance, and review of financial systems and provides support in the development, implementation, and optimization of business application systems.
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You’re passionate about solving business problems and making a direct impact on customers, you are comfortable in dealing with lots of moving pieces; and you’re comfortable learning new technologies and systems.
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deployment systems engineer machine learning jobs Company: Clearancejobs in San Francisco, CA
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