80 machine learning engineer jobs at 37 companies in San Marcos, TX
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Machine Learning Compiler Engineer
New York City or Austin or San Diego or Raleigh
$201k-$301k/yr OnsiteFull Time
6+ YOEExperience in compiler development, computer architecture, machine learning, and software engineering; degree in CS/math/engineering; strong communication and research skills; experience with ML compiler tools and generative AI workflows.
MLIR, LinAlg, Affine, PyTorch 2.0, TVM, Triton, LLVM, Hexagon-MLIR, Hexagon Neural Signal Processor, Adreno GPUs
1mo
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SoC Machine Learning Design Engineer
Austin, Texas, United States
OnsiteFull Time
Experienced machine learning engineer to apply ML expertise to SoC design and validation, collaborate with cross-functional teams, and implement high-impact methodologies and solutions.
1mo
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Sr Machine Learning Engineer
Austin, Texas, United States
$118k-$200k/yr HybridFull Time
2+ YOEMaster's in a related field plus 2 years' relevant experience; experience with ML model validation, deep learning/LLMs, Python, pandas, scikit-learn, TensorFlow, PyTorch, SQL; strong communication and critical thinking.
Python, pandas, scikit-learn, TensorFlow, PyTorch, SQL
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Senior Machine Learning Engineer
Austin, Texas, United States
HybridFull Time
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.
LangGraph, LangChain, Autogen, Model Context Protocol (MCP), Ragas, TruLens, Python, Scikit-Learn, PyTorch, TensorFlow, Docker, Kubernetes, Terraform, GCP, AWS, Azure, Airflow, Argo Workflows, ArgoCD, BigQuery, Postgres, FastAPI, TypeScript, JavaScript, Cloudflare Workers, Workers AI, Pytest
2w
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Principal Machine Learning Engineer
Nashville or Seattle or Santa Clara or Austin or United States
$126k-$264k/yr OnsiteFull Time
6+ YOERequires 6–10+ years of experience developing and productionizing machine learning models, automating ML workflows, monitoring model performance, writing code, and integrating models into software systems.
PyTorch, TensorFlow, Keras
3w
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Staff Machine Learning Engineer
Austin, Texas, United States
OnsiteFull Time
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.
Python, TensorFlow, PyTorch, AWS, Azure, GCP, Hadoop, Spark, Docker, Kubernetes
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Machine Learning Engineer
Austin, Texas, United States
HybridFull Time
5+ YOE5–8 years in engineering/architecture; bachelor’s degree; enterprise architecture knowledge; strong collaboration; English fluency; authorized to work in the U.S.; visa sponsorship not available.
Snowflake, AWS, Azure, APIs, LLMs, Vector search, RAG
3d
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Senior Machine Learning Engineer (Active Secret Clearance)
Austin, Texas, United States
$185k-$230k/yr HybridFull Time
6+ YOEBS in CS or related plus 6+ years experience, delivering data-centric systems, strong Python skills, TensorFlow/PyTorch/scikit-learn experience, software engineering fundamentals, active Secret clearance and US citizenship.
Chariot, Python, TensorFlow, PyTorch, scikit-learn
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Staff Machine Learning Engineer
San Jose or Austin
$179k-$292k/yr HybridFull Time
5+ YOE5+ years experience and a Bachelor’s degree (or equivalent); expertise with TensorFlow/PyTorch/scikit-learn; cloud experience (AWS, Azure, GCP); building and deploying scalable ML pipelines.
TensorFlow, PyTorch, scikit-learn, AWS, Azure, GCP
2w
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Machine Learning Engineer
Austin or New York or San Francisco or Seattle
$269k-$317k/yr OnsiteFull Time
Experience shipping ML/LLM features to production, evaluation harnesses, LLM APIs/fine-tuning/retrieval experience, production-quality code, strong communication and problem framing skills.
LLM APIs, Temporal
1mo
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Senior AI / Machine Learning Engineer
San Francisco or New York City or San Jose or Seattle or Austin or Boston
$115k-$200k/yr HybridFull Time
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.
PyTorch, GitHub
4w
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Sr. Embedded Machine Learning Engineer
Austin, Texas, United States
OnsiteFull Time
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.
C++, C, Python, CUDA, PyTorch, TensorFlow Lite, ONNX Runtime, TensorRT, Linux, NVIDIA Jetson, Google Coral, Qualcomm
2mo
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Senior Machine Learning Engineer
Wichita or Waldorf or Lawton or Round Rock
OnsiteFull Time
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.
Python, PyTorch, CUDA, Kafka, Spark, Docker, Kubernetes, Helm
2w
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Machine Learning Ops Data Engineer
Southlake or Austin or Phoenix
$102k-$185k/yr OnsiteFull Time
8+ YOE2+ Mgmt8+ years data/software engineering with 2+ years technical leadership; expert GCP (BigQuery,Vertex AI,GCS,Dataflow,Pub/Sub,Cloud Run,GKE,Composer,Airflow), Python, SQL, CI/CD, containerization, security, observability; experience productionizing ML.
BigQuery, Vertex AI, GCS, Dataflow, Pub/Sub, Cloud Run, GKE, Composer, Airflow, IAM, Cloud Monitoring, Cloud Logging, Python, SQL, Docker, Git
1mo
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Sr. Machine Learning Engineer
Austin or United States
OnsiteFull Time
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.
Python, SQL, ADK, LangChain, MCP, A2A, GCP, BigQuery (BQ), Cloud Run, GKE, AWS, TensorFlow, PyTorch, JAX, Airflow, Claude, Codex, CI/CD
1w
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Machine Learning Engineer, Underwriting
San Antonio, Texas, United States
$166k-$210k/yr OnsiteFull Time
5+ YOEMaster's (PhD welcomed) in quantitative field,5+ years ML/statistical modeling experience in decisioning (credit/risk/fraud),probabilistic models,experimentation,model monitoring,and explaining results to stakeholders.
Python, NumPy, Pandas, scikit-learn, PyTorch, XGBoost, LightGBM, Claude Code, Cursor, Copilot, ML flow, SQL, Snowflake, GitHub, AWS, Looker, PowerBI, Tableau
3w
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Senior Machine Learning Engineer
Austin, Texas, United States
$335k-$400k/yr HybridFull Time
3+ YOE3+ years building production ML systems; experience in model training, deployment, monitoring; strong ML/statistics background; PhD/Master's or equivalent; familiarity with recommender systems and Bayesian methods preferred.
Kubeflow, TensorFlow
1mo
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Senior Machine Learning Engineer
Austin or San Jose or United States or Canada or Mexico
HybridFull Time
8+ YOE8+ years in DevOps/SRE or ML infrastructure (4+ supporting ML), strong Python/Scala/Java, Kubernetes on GCP/AWS, CI/CD, Terraform, Spark/Flink/Airflow/Kafka, MLflow/Chronon, observability tools, and on-call experience.
Python, Scala, Java, GCP, AWS, GKE, EKS, Kubernetes, Apache Airflow, Apache Spark, Ray, MLflow, Chronon, Aerospike, Apache Flink, Kafka, Jenkins, GitLab Runner, Terraform, Prometheus, Grafana, Datadog
1mo
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Staff Machine Learning Engineer
Austin, Texas, United States
RemoteFull Time
3+ YOEBachelor's degree in CS/ML/EE/linguistics, 3+ years in speech recognition or audio ML, experience fine-tuning ASR models (PyTorch/TensorFlow), Python, cloud deployment (AWS, Kubernetes, Docker), and working with large audio datasets and distributed training.
PyTorch, TensorFlow, Whisper, wav2vec, Conformer, RNN-T, Citrinet, NVIDIA NeMo, Kaldi, ESPnet, Hugging Face, DeepSpeed, Python, AWS, Kubernetes, Docker, CI/CD
1mo
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Senior Manager, Machine Learning
Austin, Texas, United States
HybridFull Time
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.
Python, R, Spark, SQL, AWS, GCP, Azure, LLMs
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