154 machine learning jobs at 83 companies in Austin, TX
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Machine Learning Engineer
Somerville or United States or Boston or San Francisco or Seattle or New York City or Austin
$170k-$200k/yrHybridFull Time
Modulate: Privately held voice-AI serving enterprises with audio intelligence for fraud, compliance, and safety.
Requires machine learning research and production experience, strong Python and PyTorch skills, experiment design, model evaluation, cross-functional collaboration, and clear technical communication.
Molex: Electronic, electrical, and fiber-optic connectivity systems manufacturer serving automotive, industrial, medical, and data-center customers.
10+ YOE10+ years building production ML for physical or engineering systems; strong Python with PyTorch or TensorFlow; engineering and simulation knowledge; Azure Machine Learning or similar cloud ML experience.
Azure Machine Learning, Python, PyTorch, TensorFlow, Azure ML, Gaussian processes, gradient-boosted trees, GNNs, PINNs, Azure GPU compute, Azure ML endpoints, model registry, EM simulation tools
Q2NYSE: QTWO: Public banking software provider serving banks, credit unions, fintechs, and alternative lenders with banking and lending solutions.
2+ YOEBachelor's degree in related field and 2-5 years relevant experience; proven experience developing and deploying machine learning models; strong knowledge of statistics, optimization, probability theory; proficiency in Python, R, or Java; experience with TensorFlow, PyTorch, scikit-learn; fluent English; U.S. work authorization.
Mountain View or San Francisco or Austin or United States
$171k-$269k/yrRemoteFull Time
AtlassianNASDAQ: TEAM: Unleashing the potential of every team.
Senior Machine Learning Engineer with experience in forecasting models, deep learning, and end-to-end ML lifecycle; ability to mentor and collaborate across teams.
DISCONYSE: LAW: Public AI-powered legal-technology providing ediscovery, document-review, legal-hold and case-management software to enterprises, law firms and governments.
12+ YOE12-15+ years machine learning research experience; proven research leadership, strategic planning, and mentorship; U.S. work authorization without sponsorship now or future.
Steadily: Private U.S. insurtech providing landlord property, liability, and loss-of-rent insurance to rental property owners and investors.
5+ YOE5+ years experience applying machine learning to production problems; proficiency in Python, Django/FastAPI, Kafka, AWS (EKS), Postgres, dbt, and GitHub Actions; ability to build and deploy end-to-end ML models.
United States or Seattle or Santa Clara or Austin or Nashville
$115k-$235k/yrOnsiteFull Time
Oracle CorporationNYSE: ORCL: Cloud infrastructure and enterprise software solutions provider.
2+ YOERequires 8 years of relevant experience, or a related bachelor's degree with 4 years, or master's degree with 2 years. Requires machine learning, software development, cloud computing, data security, and predictive analytics skills.
San Jose or Austin or San Francisco or Lehi or Seattle or New York City +1 more
$45-$55/hrHybridMultiple Commitments Available
AdobeNASDAQ: ADBE: Empowering everyone to create through innovative digital experiences.
Currently pursuing a bachelor's, master's, or PhD in a technical field; strong machine learning, deep learning, Python, and generative AI knowledge; familiarity with ML frameworks, cloud platforms, and model deployment.
ThredUpNasdaq: TDUP: Public U.S. online apparel resale platform helping consumers buy and sell secondhand clothing, shoes, and accessories.
8+ YOE8+ years in machine learning engineering or data science, including 4+ years in e-commerce or two-sided marketplaces; experience with retrieval, ranking, re-ranking models; full ML lifecycle; low-latency serving; MS or PhD in CS, Data Science, Engineering or related field; ability to travel quarterly.
AppleNASDAQ: AAPL: Designing and manufacturing consumer electronics, software, and digital services.
3+ YOEMinimum BS + 3 years relevant industry experience; practical experience with generative AI and modern machine learning; experience with deep learning frameworks (PyTorch, TensorFlow, JAX, MLX) and hardware description languages (Verilog, SystemVerilog, VHDL).
Chicago or Atlanta or Austin or Boston or Burlington or Charlotte or Cleveland or Columbus or Costa Mesa or Dallas or Denver or Boca Raton or Fort Wayne or Grand Rapids or Hartford or Houston or Indianapolis or Knoxville or Lexington or Livingston or Los Angeles or Louisville or Miami or Nashville or New York City or Oakbrook Terrace or Plano or Sacramento or San Francisco or San Jose or Sarasota or South Bend or Springfield or Tallahassee or Tampa or Washington or The Woodlands +1 more
$62k-$100k/yrOnsiteFull Time
Crowe Advisory LLC: U.S. advisory and consulting firm providing tax, advisory, consulting, and other nonattest services to business clients.
Requires programming and software engineering experience, preferably Python, with algorithm and data structure knowledge, Linux and Docker experience, strong communication, autonomy, and interest in machine learning.
Striveworks: Private U.S. software providing AI operations and MLOps infrastructure to government and national-security organizations.
0+ YOEBS in computer science or related field; 0-2 years experience; strong Python with PyTorch/TensorFlow/scikit-learn; systems programming; US citizenship and eligibility for Secret clearance; travel up to 25%.
Focused Energy: Privately held German-American laser fusion developing clean commercial power for utilities and industry.
Master's or PhD in ML, computational physics, applied math, data science, or computer science; proven experience building and deploying ML models for complex physical systems; expert Python; experience with HPC environments and PDE-based simulation outputs.
Expedia GroupNASDAQ: EXPE: Global travel technology powering online booking platforms.
3+ YOE3+ years industry experience and advanced degree (PhD preferred) in quantitative field; expertise in machine learning, causal inference, or operations research; proficiency in Python or Scala; big data ecosystem (Hadoop/Spark); strong communication and collaboration.
Principal Machine Learning Engineer, Matching & Recommendations
Austin, Texas, United States
$345k-$410k/yrOnsiteFull Time
Bumble Inc.NASDAQ: BMBL: Publicly traded U.S. technology operating dating and friendship apps for people seeking relationships and community.
10+ YOE10-15 years experience in machine learning, hands-on production systems, Python and major ML framework (PyTorch/TensorFlow), LLM fine-tuning and AI agents, scalable data pipelines (Spark, Airflow), senior IC influence, mentoring, cross-functional partnership.
PyTorch, TensorFlow, Spark, Airflow, Large Language Models (LLMs), MCP
Senior Machine Learning Engineer, Causal & Decision Systems
Austin, Texas, United States
RemoteFull Time
CSC Generation: Private AI-native retail holding that acquires, modernizes, and operates consumer brands through shared technology and services.
Exceptional technical ability and judgment with experience in machine learning, statistical modeling, causal inference, decision systems, optimization, production ML, Python, SQL, and behavioral datasets.
Scaffold: It is a data-integration and automation platform for residential specialty trade contractors and suppliers.
3+ YOE3-6+ years ML engineering experience; strong Python; production ML deployment; familiarity with LLMs, prompt engineering, data pipelines, APIs, and distributed systems.
webAI: Private enterprise AI platform helping organizations build and operate custom AI on infrastructure they own.
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.
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.
3+ YOE3+ years in ML algorithm development or optimization; Master's or PhD in a related technical field; computer architecture knowledge; Python, TensorFlow, PyTorch, and large-model training experience.