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Staff Software Engineer - Applied AI Jobs

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Staff Engineer
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India , Bengaluru
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Barclays
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New
Staff Engineer
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India , Bengaluru
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Barclays
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Staff Software Engineer
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United States
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146250.00 - 262000.00 USD / Year
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Arcadia
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Staff Software Engineer
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United States , New York
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230000.00 - 270000.00 USD / Year
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Helpcare AI
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Staff Software Engineer
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United States , South Salt Lake
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150000.00 - 180000.00 USD / Year
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Torus
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Staff Software Engineer
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United States , Dripping Springs, Austin
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150000.00 - 200000.00 USD / Year
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Signify Technology
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Staff Application Engineer, Workplace Technology
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United States; Canada
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Mozilla
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Staff Frontend Engineer - Interactive Maps
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United States , San Mateo
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185000.00 - 265000.00 USD / Year
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Verkada
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Staff Engineer – Web Analytics & Infrastructure
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United Kingdom , London
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Intercom
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Member of Technical Staff, AI Post-Training
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United Kingdom , London
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Microsoft Corporation
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Member of Technical Staff, AI Post-Training
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Switzerland , Zürich
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Microsoft Corporation
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Staff ML Infrastructure Engineer
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United States , San Francisco
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Darwin Recruitment GmbH
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Staff LLM Systems Engineer
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United States , San Francisco
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Darwin Recruitment GmbH
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Staff LLM Systems Engineer
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United States , New York
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Darwin Recruitment GmbH
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Staff Software Engineer
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India
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Bugcrowd
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Staff Backend Engineer - New Products
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United States , New York
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220000.00 - 260000.00 USD / Year
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Kalepa
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Staff Product Manager, AI
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Actian
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Staff Application Engineer, Workplace Technology
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United States; Canada
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Mozilla
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Staff Software Engineer
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United States , San Francisco
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150000.00 - 300000.00 USD / Year
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Helpcare AI
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Visual Effects Supervisor
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United States , New York City
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120000.00 - 135000.00 USD / Year
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Complex NTWRK
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Explore high-impact Staff Software Engineer - Applied AI jobs and step into a pivotal role at the intersection of advanced software engineering and practical artificial intelligence. This senior-level position is designed for technical leaders who architect, build, and deploy intelligent systems that solve complex, real-world problems. Professionals in these roles move beyond theoretical models, focusing on the end-to-end lifecycle of AI-powered products and features that enhance user experiences, optimize operations, and create new capabilities. A Staff Software Engineer in Applied AI typically shoulders the responsibility of translating business needs into robust, scalable, and maintainable AI solutions. Common duties include designing and implementing machine learning pipelines, developing production-grade inference services, and integrating models seamlessly into larger software ecosystems. They establish best practices for ML Ops, ensuring models are reliably trained, deployed, monitored, and iterated upon. A key aspect of the role is providing technical leadership: mentoring engineers, making foundational architectural decisions, and collaborating cross-functionally with data scientists, product managers, and infrastructure teams to align technical execution with strategic goals. To excel in these jobs, candidates generally require a deep mastery of software engineering fundamentals, including system design, algorithms, and proficiency in languages like Python, Java, or Go. They must possess substantial expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and a strong understanding of both classical ML and modern deep learning architectures. Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), and distributed computing is essential for building scalable systems. Beyond technical prowess, successful individuals demonstrate exceptional problem-solving skills, a product-oriented mindset, and the ability to communicate complex technical concepts clearly. A proven track record of leading significant projects from conception to deployment is a standard requirement for these senior roles. If you are passionate about leveraging cutting-edge AI to build the future and are seeking leadership roles where your code has tangible impact, exploring Staff Software Engineer - Applied AI jobs is your next strategic career move. This profession offers the challenge and opportunity to be at the forefront of technological innovation.

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