Extensive experience in designing and delivering large-scale, distributed systems and platforms.
Proven ability to influence technical strategy and drive architectural decisions across multiple teams.
Strong expertise in modern software engineering practices, cloud-native architectures, and AI/data platforms.
Exceptional communication and leadership skills with a track record of mentoring and thought leadership.
Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline.
Data Architecture & Strategy
Focus on designing modern, scalable, governed data ecosystems.
Data strategy and product-aligned data architectures
Modern database technologies and migration away from legacy Oracle
Data lakehouse architectures supporting analytics and ML workloads
Feature catalog / feature engineering platforms
High-Throughput, Low-Latency, and Real-Time Systems
Critical for Mastercard's real-time decisioning and event-driven platforms.
Event streaming and high-throughput data pipelines
Low-latency data technologies (distributed caches, grid replacement)
Real-time transaction processing and sub-second decisioning
Rules engine design and modernization
Cloud Infrastructure, Platform Engineering & DevOps
Driving cloud-native engineering practices and operational excellence.
AWS infrastructure engineering and cloud-native platform patterns
DevOps and platform engineering (automation, CI/CD, observability, GitOps)
ML lifecycle engineering (model training, deployment, refresh, inference)
Deep, progressive experience in software engineering.
Proven technical leadership roles influencing architecture and design across multiple teams.
Proven track record of delivering large-scale, distributed systems and enterprise-grade platforms.

SmartExplore AI is experimental.

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Machine Learning Systems Research Engineer, Agent Post-training - Enterprise GenAI

Scale AI

San Francisco, CA 94103

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System Performance Engineer -Nor Cal

Communication Technology Services

Livermore, CA 94551

~ 41 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Three (3) to Five (5) years of RF Engineering, In-Building DAS, RAN or Small Cell experience with RF Math competency
Advanced knowledge of industry test equipment, such as: Spectrum Analyzer, Demodulator, Cable Analyzer, Power Meters, Scanners, UE's
Must have experience Commissioning DAS OEM's such as CommScope, Corning, JMA, ADRF or similar
Ability to complete RF Link Budgets, Power Sharing and Noise Figure Calculations
Ability to interpret blueprints and iBwave design files
Ability to manage multiple projects simultaneously
Must be able to travel within region with valid driver's license

SmartExplore AI is experimental.

New, Posted 1 day ago

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