7 applied machine learning engineer jobs at 2 companies in Buda, TX
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Experienced machine learning engineer to apply ML expertise to SoC design and validation, collaborate with cross-functional teams, and implement high-impact methodologies and solutions.
Machine Learning Engineer, Wallet Intelligence and Machine Learning
Austin, Texas, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Build on-device machine learning models to prevent fraud while preserving user privacy; apply privacy-preserving and fraud-prevention methods for Apple Pay and Wallet.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Applied machine learning experience building models for search, recommendations, personalization, generative AI, and optimizing production systems for online retail.
Austin or San Jose or United States or Canada or Mexico
HybridFull Time
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
5+ YOE5+ years applied ML experience; strong software development skills in Spark, Python, or Java; experience with distributed ML frameworks, low-latency model evaluation, experimentation, statistics, and large-scale data systems.
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
5+ YOE5+ years applying ML/AI to NLU/ASR, experience with big data systems and production ML model deployment; strong CS and algorithm skills; programming in Java/Python/C++ preferred.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Leadership of applied ML team; research and develop models for search, recommendations, personalization, Generative AI, and system optimization; strong communication and hands-on engineering experience.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Experience building large-scale enterprise and data platforms, working with machine learning/AI solutions, and applying SRE practices to support global systems.