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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Senior Software Engineer (Backend) - AI/ML Environments”. A match may be a passing mention rather than the job itself. Titles only.
11 roles across 12 listings · show every listing
…will work with software, systems and firmware engineers across the Zoox software organization, ranging from state-of-the-art AI Perception, all the way…
…Drive the adoption of AI-assisted development tools and modern software engineering practices across the team to accelerate development velocity, elevate code quality, and…
…Partner closely with data scientists, ML engineers, and product engineers to productionize statistical and AI/ML capabilities into reliable, real-time backend infrastructure. Lead…
…Experience with cloud environments and modern deployment practices. #MicrosoftAI Software Engineering IC4 - The typical base pay range for this role across Canada is CAD…
…The Applied AI team is looking for a senior software Engineer to join the Recommendations team. You will build the backend systems that decide…
…the software works; partner with AI/ML, PM, and design, and mentor fellow engineers through design and code reviews. Champion Responsible AI - Embed fairness…
…As a Senior Software Engineer , on the Substrate App Platform team , you will help evolve the platform and its supporting microservices that enable internal…
…PREFERRED QUALIFICATIONS Secure & Edge Environments: Experience building and running ML infrastructure, model serving, or software registries within secure, air-gapped, or highly regulated environments…
…systemic environment blockers. Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience. Demonstrated success architecting automated test frameworks for backend REST…
…Ability to coach and enable teams and customers on effective Copilot usage patterns, prompt strategies, and safe AI‑assisted engineering practices in enterprise environments…
…AI/ML platform exposure (MLOps, feature engineering, model hosting/operationalization; AWS and/or hybrid on-prem + cloud). Preferred qualifications, capabilities, and skills: Strong communication…