- Robert Half Technology (San Francisco, CA)
- Description We are looking for an experienced Senior Software Engineer specializing in Machine Learning to lead the development of innovative AI-driven ... services. This role focuses on building scalable systems and production-ready machine learning pipelines that transform raw data into actionable insights. If you… more
- Amazon (Bellevue, WA)
- Description Amazon's AGI Information is seeking an exceptional Software Engineer to drive ML systems development in the Amazon Knowledge Graph (AKG) team. AKG is ... re-inventing knowledge graphs for the LLM-era, developing sophisticated ML models and pipelines that enable efficient LLM grounding and power LLM-based customer experiences. We're looking for candidates who combine strong software engineering fundamentals with… more
- Meta (Menlo Park, CA)
- …twelve (12) week duration with 2026 start dates only. **Required Skills:** Software Engineer Intern, Machine Learning (PhD) Responsibilities: 1. Develop ... most transformative change to its business and technology in company history, and our Machine Learning teams are at the forefront of this evolution. By taking… more
- Amazon (Seattle, WA)
- …The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of ... customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from… more
- Lockheed Martin (King Of Prussia, PA)
- …Space is a critical domain, connecting our technologies, our security and our humanity\. While others view space as a destination, we see it as a realm of ... possibilities, where we can do more - we can innovate, invest, inspire and integrate our capabilities to transform the future\. At Lockheed Martin Space, we aim to harness the full potential of space to cultivate innovation, reduce costs, and push the… more
- Citigroup (Jersey City, NJ)
- …+ Design and architect end-to-end platform capabilities/services that integrate with GenAI technologies with a focus on scalability, reliability, and performance. + ... The Applications Development Senior Manager is a senior management level position responsible for accomplishing results through the management of a self or small team in an effort to establish and implement new or revised application systems and programs in… more
- Lockheed Martin (Stratford, CT)
- …**WHAT WE'RE DOING** Define the future of aviation\. Stand at the forefront of technology and innovation\. Transform your ideas and dreams into reality\. Join ... Lockheed Martin's Flight Controls and Autonomy team and be part of the greatest transformation in aviation history; unmanned fully autonomous flight\. The Flight Controls and Autonomy team is currently seeking highly motivated technology pioneers with a desire… more
- NVIDIA (Santa Clara, CA)
- NVIDIA is hiring a Senior Systems Software Engineer for machine learning data modeling to join the TAO Toolkit ML Data and Platforms Team. Our team builds ... out-of-distribution and related concepts. + Knowledge of PyTorch, distributed machine learning , and distributed file systems. +...us and our engineering teams. If you're a creative engineer with a real passion for building scalable and… more
- JPMorgan Chase (Wilmington, DE)
- …take your software engineering career to the next level. As an AWS Software Engineer III- Machine Learning at JPMorgan Chase within the Corporate ... and technical processes within a technical discipline (eg, cloud, artificial intelligence, machine learning , mobile) + Ability to work collaboratively in a… more
- BJs Wholesale Club (Marlborough, MA)
- … Engineer with a strong foundation in data science principles with background in machine learning operations. This role is ideal for someone who can bridge ... Development, Deployment & Lifecycle Management: + Build, deploy, and manage machine learning models using applied statistics (supervised/unsupervised learning… more