24 machine learning platform engineer jobs at 18 companies in Burnet, TX
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Senior Machine Learning Engineer
Austin, Texas, United States
HybridFull Time
CloudflareNYSE: NET: Cloud-based security, performance, and reliability services for Internet applications.
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.
Allen Control Systems: Autonomous Precision Robotics for a New Era of Warfare.
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.
Q2NYSE: QTWO: Public banking software provider serving banks, credit unions, fintechs, and alternative lenders with banking and lending solutions.
9+ YOEBachelor’s degree and 9–12 years of relevant experience. Requires ML development and deployment, statistics, optimization, probability, programming, ML frameworks, cloud platforms, and fluent English.
PayPalNASDAQ: PYPL: Global digital payment platform for consumers and businesses.
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.
Senior Machine Learning Engineer - News, Books, and Stocks Team
Austin, Texas, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designing and manufacturing consumer electronics, software, and digital services.
Design and apply machine learning solutions for client and service platforms, collaborate with distributed engineering teams, and solve complex ML problems to improve News, Books, and Stocks experiences.
Revionics: Private retail technology providing cloud-based unified commerce software, POS, order management, merchandising, and analytics to 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.
5+ YOERequires 5–7 years in ML engineering or related work, strong Python and SQL, production ML experience, GenAI/LLM, NLP, cloud-platform, and large-dataset expertise; Scala is a plus.
United States or Columbus or Austin or San Francisco or New York City
$167k-$230k/yrRemoteFull Time
UpstartNasdaq: UPST: Public AI lending marketplace connecting consumers with banks and credit unions for personal, auto, and home-equity loans.
6+ YOERequires 6+ years of software engineering experience, backend services and APIs, distributed systems or large-scale data processing, and ML platform experience. Proficiency in Python, Kotlin, Databricks, or AWS required.
Machine Learning and Artificial Intelligence Scientist
Austin or Mountain View or California
$160k-$244k/yrHybridFull Time
General MotorsNYSE: GM: Designing, building, and selling the world's best vehicles.
5+ YOEBachelor’s degree in a relevant technical field and 5+ years developing production ML/AI solutions. Requires Python, SQL, PySpark, cloud platforms, generative AI, MLOps, secure engineering, and stakeholder communication.
Python, SQL, PySpark, pandas, NumPy, SciPy, scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, Jupyter, Azure Databricks, Databricks Lakehouse, Apache Spark, Delta Lake, Delta Sharing, Unity Catalog, Databricks SQL, Lakeflow Declarative Pipelines, Databricks Workflows, Lakebase, MLflow, Mosaic AI, Model Serving, Vector Search, AI Gateway, Databricks Genie, Azure Data Lake Storage Gen2, Azure Machine Learning, Azure OpenAI, Azure AI Foundry, Azure Event Hubs, Azure Data Factory, Azure Functions, Azure Kubernetes Service, Azure Container Apps, Azure Key Vault, Azure Monitor, Application Insights, Microsoft Defender for Cloud, Azure API Management, Entra ID, Vertex AI, Gemini, Vertex AI Model Garden, BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Run, Google Kubernetes Engine, Cloud SQL, Secret Manager, Cloud IAM, Cloud Logging, Cloud Monitoring, Amazon SageMaker, Amazon Bedrock, S3, Glue, Athena, Redshift, EMR, Lambda, EKS, Step Functions, CloudWatch, IAM, Fivetran, Auto Loader, APIs, GitHub, GitHub Actions, Azure DevOps, Terraform, Docker, Kubernetes, Helm, REST APIs, FastAPI, OpenAPI, OpenTelemetry, Datadog, Power BI, Google Drive, Google Docs, Google Sheets, Google Slides, Google Meet, Gmail
Nominal: Private software providing hardware test, operations, and data infrastructure to engineering teams.
Experienced software engineer with production AI or machine learning experience, large-scale data systems expertise, scalable backend or distributed systems skills, and zero-to-one product development experience.
AI, machine learning, time series, telemetry, observability platforms, data infrastructure, distributed systems, agent infrastructure, evaluation pipelines, retrieval systems, LLM applications, retrieval pipelines, time series databases, observability tooling, data platforms
Austin or Boxborough or Fort Collins or Longmont or Fishkill or Rochester
$80k-$120k/yrHybridInternship, Temporary
AMDNASDAQ: AMD: Leader in high-performance computing, graphics, and visualization technologies.
Current master's student in computer science, computer engineering, data science, analytics, or a related field; knowledge of ML, AI, computer vision, Python, C/C++, databases, frameworks, and cloud platforms.
H-E-B: Texas-based retail grocery and food supply chain.
Related degree or equivalent training, certification, or experience; data engineering, team leadership, large-scale infrastructure, large datasets, mission-critical SLA, Agile, data architecture, modeling, and machine learning knowledge.
H-E-B: A grocery retailer and food distributor serving communities through stores and digital channels.
Related degree, formal training, certification, or equivalent work experience; data engineering and team leadership experience; expertise in large-scale infrastructure, data architectures, coding standards, modeling, Agile methods, and machine learning concepts.
APIs, Lean Startup, Agile, data warehouse, data lake, data mesh, machine learning
Principal Software Engineer — AI Native (IT / OT / Cybersecurity)
Austin, Texas, United States
HybridFull Time
Lansweeper: Belgian cyber asset intelligence software helping IT and security teams manage technology across IT, OT, cloud, and IoT.
10+ YOE10+ years software engineering experience; strong C++, Go, or Rust; distributed systems and backend platform expertise; practical LLM/Machine Learning knowledge; AI-native development experience; mentoring and architectural leadership.
New York City or Milwaukee or Dallas or Columbus or Kirkland or Cincinnati or Cleveland or Oklahoma City or Austin or Albany or Chicago or St. Petersburg or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Mountain View or Scottsdale or San Francisco or Morristown or Denver or Boston or Philadelphia or Des Moines or Overland Park or Los Angeles or Charlotte or Walnut Creek or Carmel or Seattle or Houston or Arlington or Atlanta or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
$68k-$220k/yrHybridFull Time
AccentureNYSE: ACN: Global professional services delivering 360° value.
3+ YOEBachelor's degree or equivalent experience, 3+ years developing AI and machine learning solutions, 3+ years with programming, frameworks, APIs, version control, databases, and cloud platforms; responsible AI experience preferred.
AI Hardware Systems Manager, Annapurna Labs, Trainium Machine Learning Fleet Operations
Austin, Texas, United States
$175k-$237k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Multinational technology focused on e-commerce and cloud computing.
7+ YOE2+ MgmtBachelor's in CS/EE or related, 7+ years in systems/platform engineering or hardware operations, 2+ years managing engineering teams, Python proficiency, hardware troubleshooting, and experience with large-scale distributed systems.
LPL FinancialNasdaq: LPLA: Independent broker-dealer and wealth management platform.
7+ YOEBachelor’s degree or equivalent practical experience; 7–12 years developing backend services, APIs, or developer platforms and reusable libraries; 2–3 years building AI or machine-learning applications.
LPL FinancialNasdaq: LPLA: Independent broker-dealer and wealth management platform.
7+ YOEBachelor's degree or equivalent practical experience; 7–12 years developing backend services, APIs, developer platforms, reusable libraries, SDKs, templates, or frameworks; 2–3 years AI or machine-learning application development.
Chicago or Raleigh or Charlotte or Cincinnati or Cleveland or Columbia or Columbus or Dallas or Baltimore or Richmond or Rosemont or Sacramento or Boston or St. Louis or Salt Lake City or San Antonio or San Diego or San Francisco or Seattle or Albany or Stamford or Tampa or Atlanta or Toledo or Austin or Tulsa or Washington or Denver or Des Moines or Detroit or Buffalo or Florham Park or Fort Worth or Greensboro or Hartford or Houston or Indianapolis or Grand Rapids or Irvine or Jacksonville or Kansas City or Las Vegas or Little Rock or Los Angeles or Louisville or Birmingham or Fayetteville or Miami or Milwaukee or Minneapolis or Nashville or New Orleans or New York City or Oklahoma City or Philadelphia or Phoenix or Pittsburgh or Portland
$77k-$202k/yrOnsiteFull Time
PwC: Global professional services network providing audit, tax, and consulting services.
3+ YOEBachelor's degree and 3+ years of experience required. Preferred fields include data science, AI, computer science, information systems, or engineering. Python, machine learning, NLP, and cloud or data platform credentials preferred.
Python, AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, machine learning libraries, NLP