26 machine learning data engineer jobs at 18 companies in Leander, TX
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
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.
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.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Design, implement, and operate machine learning and analytical solutions using predictive modeling and statistical analysis to support talent management, surveys, compensation, and recruiting while maintaining strong privacy practices.
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.
PayPalNASDAQ: PYPL: Digital platform for sending money and processing online payments.
5+ YOE5+ years experience with ML frameworks; cloud platforms (AWS/Azure/GCP); Bachelor’s degree or equivalent in a technical field; strong ML model development and deployment skills.
BumbleNASDAQ: BMBL: Operates mobile applications for dating, friendship, and professional networking.
10+ YOE10–15 years deep ML experience; production ML systems; Python with PyTorch or TensorFlow; LLMs and AI agents; scalable data/ML pipelines; cross-functional influence; mentorship; responsible AI.
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.
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.
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.
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.
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.
VisaNYSE: V: Global payment technology facilitating electronic funds transfers.
8+ YOE8+ years experience with Bachelor’s or 5+ with Advanced Degree; 9+ with Bachelor or 7+ with Advanced Degree; expert in Golang/Java/C/C++, REST/gRPC, big data, distributed systems, CI/CD.
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.
Dell TechnologiesNYSE: DELL: Provides information technology hardware, software, and services.
12+ YOEExpert in enterprise knowledge graph architecture (Neo4j/Stardog), ontology engineering (OWL2), RAG/agentic AI, PySpark/Kafka/Airflow integration, Python/SQL/Cypher/SPARQL proficiency, and 12+ years experience with 4+ years on knowledge graphs.
SpaceX: Designs and launches advanced rockets and satellite internet constellations.
5+ YOEBachelor's in CS/engineering/math or 5+ years software experience (7+ without degree); 3+ years full-stack; experience in data engineering/ML, Python/C#, Pandas, PyTorch, and related tools.
IntelNasdaq: INTC: Designs and manufactures microprocessors and semiconductor components.
2+ YOEPh.D. in a semiconductor-related STEM field,2+ years semiconductor/process experience,skills in statistics,machine learning,data analysis,coding,and yield projection;project management and cross-functional collaboration preferred.
webAI: Secure on-device AI infrastructure for distributed enterprise applications
5+ YOE5+ years software engineering and machine learning; active US security clearance; production ML systems; ML frameworks (PyTorch, TensorFlow, ONNX, JAX); debug data pipelines; strong communication; customer-facing experience
2+ YOEBachelor's degree or equivalent experience,2 years data analysis and project management experience,experience with SQL/R/Python/C++,machine learning experience,and strong communication skills.
Austin or Chicago or New York or Old Greenwich or San Francisco or West Palm Beach
$150k/yrOnsiteFull Time
WorldQuant: Develops systematic investment strategies through quantitative research and data.
Undergraduate or advanced degree in a quantitative field; programming in Python and/or C++; Linux experience; strong problem-solving and quantitative skills; interest in financial data, machine learning, and data engineering.