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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/Staff Software Engineer, ML Data Infrastructure”. A match may be a passing mention rather than the job itself. Titles only.
317 roles across 360 listings · show every listing · page 3 of 13
…We are hiring a Staff Software Engineer for the Access Management team at Databricks, based in Bellevue, WA. Access Management owns the access-gating…
…You will get the opportunity to work directly with senior ML engineers and Data Scientists at customers, partners and Amazon Web Services service teams…
…in the creator economy and are looking for a Senior/Staff Software Engineer, Data Infrastructure to support our mission. This role is remote, with…
…data flow, identity management, and compliance for global enterprises. Engineering Excellence - Master diverse domains: Security frameworks, AI/ML pipelines, distributed databases, cloud-native infrastructure…
…silicon (samples, package, power/thermal envelopes), datacenter (power, cooling, rack integration, deployment windows), infrastructure software (management plane, provisioning, telemetry), and supply chain (long-lead…
…As the Principal Systems Software Engineer, you will serve as the visionary lead for Crusoe’s next-generation AI infrastructure. This is a role…
…You'll work closely with our ML performance, infrastructure software, supply chain, and datacenter teams, and directly with hardware vendors and partners across the…
…Key job responsibilities - Lead and grow a team of SOC integration engineers responsible for critical deliverables in our ML accelerator chips - Drive technical decisions…
…technologies relevant to the full suite of Datadog products - including infrastructure, APM , security, analytics and AI/ML Able to focus on high priority testing…
…7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing…
…Our products are data- and systems-intensive , operating at high scale and low latency across multiple clouds and regions. As a Software Engineer I…
…5 years of experience with design and architecture; and testing/launching software products. Preferred qualifications: Deep expertise in AI/ML infrastructure, specifically regarding storage…
The MLIL DataPlane team is looking for a Senior Software Development Engineer to own the design and implementation of our inference data plane. We…
…Deep experience with the full ML engineering lifecycle: training, deployment, monitoring, data consistency, experimentation, and governance. - Strong software engineering fundamentals and fluency in Python…
…Team Leadership & Management (People scope) Partner with recruiting to attract, evaluate, and hire senior and staff data engineers; raise the technical bar with every…
…act as the primary technical voice in cross-functional design reviews with Research Scientists, Product, Data Engineering, MLOps, and Search Infrastructure teams. Unblock the…
…About You 5+ years of software engineering experience (or 4+ with a Master's) in computer science, engineering, or equivalent practical experience. Staff-level…
…AI/ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Experience leading project teams, defining technical roadmaps, and setting engineering standards…
…Senior/Staff AI Software Engineer to own developer productivity for AIMS: the build, test, and iteration loop that our ML researchers and engineers rely…
…Engineer and improve vulnerability workflows across application security, cloud and infrastructure, containers and Kubernetes, open-source dependencies, secrets, software supply chain, and hardware-adjacent…
…We are a world-class team of machine learning engineers who collaborate closely with product, data science, and infrastructure teams to power and enhance…
Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers…
…software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience…
…and monitoring for both software services and ML model performance in production. - Mentorship & Collaboration: Mentor senior and intermediate engineers, fostering a culture of technical…
…senior engineers, build clear growth paths, model high engineering standards, and foster a culture of engineering excellence and psychological safety. ML & Data Infrastructure Evolution…