8 machine learning platform engineer jobs at 7 companies in Garland, 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.
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
RealPage: Provides AI-enabled property management and data analytics software solutions.
5+ YOE5+ years Python/ML engineering experience; NLP and transformer model fine-tuning; production ETL and data pipeline experience; PostgreSQL/SQLAlchemy and pandas/NumPy proficiency; experience serving ML models and mentoring engineers.
RealPage: Software and data analytics for the real estate industry.
5+ YOE5+ years Python development on production ML systems; strong NLP/transformer experience (Hugging Face, TensorFlow); proficiency with pandas, NumPy, SQLAlchemy, PostgreSQL; ETL pipeline and model serving experience; technical leadership.
Palo Alto or New York City or Dallas or Bethesda or Seattle
$150k-$300k/yrOnsiteFull Time
GEICO: Provides vehicle and property insurance services to consumers.
10+ YOE10+ years engineering or AI/ML leadership experience; proven track record building scalable distributed systems and personalization platforms; expertise in RAG, context/memory architectures, and real-time inference; strong business acumen and cross-functional leadership.
San Francisco or Dallas or Phoenix or Pittsburgh or Toronto or United States
$157k-$234k/yrRemoteFull Time
Waabi: Develops Physical AI for autonomous trucking and robotaxis.
3+ YOE3-5 years in MLOps/DevOps; Bachelor's in CS/Data Science; Python proficiency; ML frameworks (TensorFlow/PyTorch); cloud platforms (AWS/Azure/GC); Kubernetes/Docker; CI/CD; strong problem-solving; production model monitoring.
7+ YOE7+ years engineering experience, expertise in clustering, unsupervised learning, knowledge graphs, Python, ML frameworks, and building production ML platforms for enterprise use cases.
7+ YOE4+ MgmtBachelor's in CS/SE/electronic engineering, 7+ years in ML platform operations (4+ years in leadership), knowledge of MLOps tools, cloud platforms, CI/CD, security/compliance, and stakeholder management.