Staff ML Software Engineer – Platform Systems

Stelle nicht auf LinkedIn

🕒 vor 2 Monaten

🇺🇸 Vereinigte Staaten – Remote

💵 $600.000 - $1.066.000 / Jahr

⏰ Vollzeit

🔴 Experte

🏗️ Plattformingenieur

👻 Geisterscore 6%

infoinfo

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Beschreibung

• Design, build, and operate observability, evaluation, and tooling subsystems for next-generation ML architecture • Prove subsystems on current AIMS operations, including anomaly detection, root cause analysis, and operational automation • Build observability systems providing visibility into model behavior, training pipeline health, serving latency, and data quality • Drive cost optimization across AIMS training and serving infrastructure through increasingly automated frameworks and tooling • Architect reliability improvements across the AIMS AI/ML stack, reducing toil and improving on-call ergonomics • Contribute to the target architecture and migration path for the modernized AIMS AI/ML stack • Coordinate with teams driving the AIMS modernization effort • Evaluate emerging infrastructure patterns, model paradigms, and platform capabilities and translate them into a forward-looking roadmap

🎯 Anforderungen

• Significant experience designing, building, and operating production AI/ML systems at scale • Experience with training pipelines and familiarity with model serving and online inference under high traffic • Hands-on experience building subsystems for advanced agentic architectures, including memory, trace, eval, and replay pipelines, or orchestration and routing layers • Deep Python expertise • Working proficiency in at least one JVM language: Scala or Java • Proven track record improving AI/ML system reliability, reducing infrastructure costs, and improving operational scalability • Experience building observability and monitoring systems for AI/ML workloads across training, serving, and data pipelines • Strong distributed systems background, including batch processing at scale and real-time serving infrastructure • Experience collaborating with partner teams to drive cross-functional technical programs, manage dependencies, and build consensus without formal authority • High technical judgment and ability to identify patterns, build reusable frameworks, and make pragmatic investment decisions • Ability to operate with incomplete information, scope problems, define approaches, and adjust course • Preferred: familiarity with LLM evaluation, trace, or replay tooling • Preferred: familiarity with feature stores, model serving platforms, and experiment frameworks • Preferred: hands-on experience migrating production AI/ML systems across technology generations • Preferred: applied experience in personalization domains such as recommendation systems, search, or discovery

🏖️ Vorteile

• Annual salary-only compensation structure with choice between salary and stock options • Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings and Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • Paid leave of absence programs • Full-time salaried employees are immediately entitled to flexible time off

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