75 machine learning engineering jobs at 34 companies in Lakeway, TX
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Machine Learning Compiler Engineer
New York City or Austin or San Diego or Raleigh
$201k-$301k/yrOnsiteFull Time
QualcommNASDAQ: QCOM: Designs and manufactures semiconductors and wireless telecommunications products.
6+ YOEExperience in compiler development, computer architecture, machine learning, and software engineering; degree in CS/math/engineering; strong communication and research skills; experience with ML compiler tools and generative AI workflows.
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.
Q2NYSE: QTWO: Develops digital banking and lending platforms for financial institutions.
5+ YOEBachelor’s degree and 5–8 years ML experience; Python/R/Java; ML frameworks (TensorFlow, PyTorch, scikit-learn); cloud computing; strong analytics and collaboration.
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.
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.
CloudflareNYSE: NET: Provides security and performance services for internet properties.
3+ YOE3+ years ML engineering experience building production ML platforms, strong Python, experience with LLMs/Generative AI, platform and distributed systems design, mentoring, and advanced degree in a quantitative field.
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.
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.
UpworkNASDAQ: UPWK: Online marketplace connecting businesses with independent professionals.
Senior engineering leader with strong experience delivering search/recommendation systems, distributed systems, data pipelines, and ML infrastructure; proven people leadership and cross-functional partnership.
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.
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.
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.
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.
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.
Striveworks: Develops software to deploy and manage artificial intelligence models.
2+ YOEBS in CS/ML or related; 2+ years; data-centric systems; Python with TF/PyTorch/scikit-learn; software engineering basics; Agile/CI/CD; US Citizenship; Active Secret clearance.
Avride: Develops and operates autonomous vehicles and delivery robots.
4+ YOESenior/Staff/Principal ML Engineer with 4+ (Senior), 7+ (Staff), or 10+ (Principal) years in ML; strong Python and ML frameworks; autonomous vehicle/robotics experience.
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.
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.