81 machine learning jobs at 38 companies in Lakeway, TX
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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.
Deloitte: Provides professional audit, consulting, advisory, and tax services.
6+ YOE6+ years experience in machine learning/AI with hands-on generative AI engineering, strong LLM knowledge, software development fundamentals, and ability to translate business needs into production solutions.
Realtor.comNasdaq: NWSA: Online marketplace for buying, selling, and renting homes.
8+ YOE2+ MgmtPhD/MS in a quantitative field, 8+ years in data science or machine learning, 2+ years managing ML engineers, experience with ML/NLP, Python/R/Spark, SQL, cloud (AWS/GCP/Azure), experiment design, and strong communication/mentorship skills.
PayPalNASDAQ: PYPL: Digital platform for sending money and processing online payments.
2+ YOEMaster's in a related field plus 2 years' relevant experience; experience with ML model validation, deep learning/LLMs, Python, pandas, scikit-learn, TensorFlow, PyTorch, SQL; strong communication and critical thinking.
PayPalNASDAQ: PYPL: Global digital payments platform for consumers and merchants.
5+ YOE5+ years experience and a Bachelor’s degree (or equivalent); expertise with TensorFlow/PyTorch/scikit-learn; cloud experience (AWS, Azure, GCP); building and deploying scalable ML pipelines.
Fluidstack: Provides high-performance cloud GPU infrastructure for AI development.
Experience shipping ML/LLM features to production, evaluation harnesses, LLM APIs/fine-tuning/retrieval experience, production-quality code, strong communication and problem framing skills.
Q2NYSE: QTWO: Develops digital banking and lending platforms for financial institutions.
5+ YOE5–8 years in engineering/architecture; bachelor’s degree; enterprise architecture knowledge; strong collaboration; English fluency; authorized to work in the U.S.; visa sponsorship not available.
Knowmadics: Develops AI-driven electronic warfare and situational awareness software platforms.
7+ YOE7-10 years in software or ML engineering; Python ML pipelines; deep learning libraries (e.g., PyTorch); C or systems programming; ETL with Kafka/Spark; ML for unstructured data; GPUs/CUDA; production model deployment; US citizenship and eligible for clearance.
Austin or San Jose or United States or Canada or Mexico
HybridFull Time
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
8+ YOE8+ years in DevOps/SRE or ML infrastructure (4+ supporting ML), strong Python/Scala/Java, Kubernetes on GCP/AWS, CI/CD, Terraform, Spark/Flink/Airflow/Kafka, MLflow/Chronon, observability tools, and on-call experience.
Seattle or United States or Redwood City or Santa Clara or Austin
$126k-$264k/yrOnsiteFull Time
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
6+ YOE6+ years experience building and productionizing ML models; strong software engineering, model deployment, monitoring, data quality and debugging skills; stakeholder collaboration and mentoring experience.
Jeppesen ForeFlight: Provides integrated software and data solutions for aviation flight planning.
3+ YOEBachelor's degree in CS/ML/EE/linguistics, 3+ years in speech recognition or audio ML, experience fine-tuning ASR models (PyTorch/TensorFlow), Python, cloud deployment (AWS, Kubernetes, Docker), and working with large audio datasets and distributed training.
Revionics: AI-powered lifecycle price optimization software for global retailers.
Bachelor's or Master’s in a STEM field; strong Python and SQL skills; experience building and scaling AI/ML and agentic systems; familiarity with agentic frameworks (ADK, LangChain), cloud-native environments (GCP or AWS), LLM platforms, and CI/CD.
CloudflareNYSE: NET: Provides security and performance services for internet properties.
Experience productionizing ML models with inference optimization, benchmarking, deployment, and reliability; proficiency in Python and modern ML frameworks; experience with GPU/accelerator optimization and distributed systems.
webAI: Secure on-device AI infrastructure for distributed enterprise applications
6+ YOEPh.D. preferred; 6+ years ML experience with LLMs and MoE, strong Python and TensorFlow/PyTorch skills, leadership and publication record, cloud and production ML experience.
Rokt: Provides AI-driven personalization for ecommerce transaction checkouts.
3+ YOE3+ years building production ML systems; experience in model training, deployment, monitoring; strong ML/statistics background; PhD/Master's or equivalent; familiarity with recommender systems and Bayesian methods preferred.
Expedia GroupNASDAQ: EXPE: Operates a global platform for travel bookings and services.
8+ YOE8+ years industry experience designing/deploying agentic or multi-step AI systems; strong Python and ML framework skills; LLM integration and evaluation experience.
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
3+ YOE3+ years professional software development, 2+ years design/architecture, bachelor’s in CS or related, experience with distributed systems, object-oriented design, and programming in C#, C++, Java, or Perl.
Allen Control Systems: Develops autonomous robotic weapon systems for drone defense.
10+ YOE10+ years software/systems engineering experience with 2+ years deploying ML to embedded/edge devices; strong C/C++, Python, CUDA, PyTorch, model optimization and profiling skills; experience with edge runtimes and embedded platforms.
San Francisco or New York City or San Jose or Seattle or Austin or Boston
$115k-$200k/yrHybridFull Time
Absentia Labs: AI-native toxicology platform accelerating drug safety and discovery.
5+ YOE5+ years ML industry experience, proven production-scale model training, expertise with LLMs/diffusion/GNNs, strong PyTorch skills, distributed training and data-pipeline experience, and solid software engineering practices.