20 software engineer machine learning jobs at 15 companies in Euless, 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.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Help us build a 100× better job search engine. We need a full-stack engineer with great taste, sharp fundamentals, and a track record of shipping polished product on React/Next.js plus a real backend (Firebase, Elasticsearch, Redis, Stripe).
Uber Freight: Digital marketplace connecting shippers with trucking carriers.
5+ YOE5+ years ML engineering experience; deploy ML models at scale; experience with PyTorch/TensorFlow/Scikit-Learn/Spark MLlib; Python, Go, or Java; strong ML theory and production experience.
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
10+ YOE10+ years designing data-intensive distributed solutions, 6+ years programming in C/C++/Python/Scala, 3+ years ML lifecycle experience, experience with production ML, data pipelines, and strong communication and leadership skills.
Quantiphi: Provides applied AI research and data engineering services.
3+ YOEProven experience building production ML services with Python and FastAPI, designing SDKs, agentic workflows, and CI/CD using Jenkins and GitLab Runners; 3+ years experience preferred.
Yum! BrandsNYSE: YUM: Global operator of quick-service restaurant brands.
4+ YOERequires 4+ years developing and deploying production ML solutions, proficiency in Python, message queues (Kafka/Pulsar/RabbitMQ), Docker, Kubernetes, and strong analytical and communication skills.
EquinixNASDAQ: EQIX: Provides global data center colocation and digital interconnection services.
5+ YOE5+ years engineering experience, bachelor’s in CS/ML/Data Science or related, experience building production AI/ML systems, strong communication and stakeholder collaboration skills.
Grand Prairie or Littleton or Orlando or Shelton or Colorado or Connecticut or Florida or Texas
$109k-$217k/yrRemoteFull Time
Lockheed MartinNYSE: LMT: Designs and manufactures global security and aerospace systems.
3+ YOEBachelor's in Engineering/Computer Science with 5+ years (or Master's with 3+ years). Significant ML experience (NLP, deep learning, RL), software engineering skills, programming in Python/Typescript/C++/Golang, and U.S. citizenship required.
Santa Barbara or San Diego or San Francisco or Denver or Dallas or Atlanta or Chicago or Washington, D.C.
HybridFull Time
AppFolioNASDAQ: APPF: Provides cloud-based property and investment management software.
Proven experience building production ML systems at scale, architectural leadership, training/fine-tuning LLMs, experience with LangChain/LangGraph and RAG patterns, AI safety/authorization, and production reliability discipline.
7+ YOE7+ years engineering experience, expertise in clustering, unsupervised learning, knowledge graphs, Python, ML frameworks, and building production ML platforms for enterprise use cases.
10+ YOESenior machine learning engineer with 10+ years of experience in scalable ML systems, strong CS fundamentals, and expertise in Python, PySpark, and distributed big data technologies.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
7+ YOE7+ years experience implementing ML/AI models with Python and PySpark, familiar with OnPrem and cloud deployments, Cloudera Hadoop, ML/Ops and LLMs; strong system design and troubleshooting skills.
AI Engineer/ML Engineer - Senior Developers - AI Training - Fort Worth, US
Fort Worth or United States
$80/hrRemoteContract
Prolific: Platform connecting researchers and AI developers with verified participants.
BS/MS/PhD in CS/AI/Robotics or related quantitative field; production experience building, deploying, or fine-tuning ML models; deep learning and LLM expertise; ability to audit models and spot biased or hallucinated outputs.