65 machine learning researcher jobs at 41 companies in Texas
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Machine Learning Researcher – PhD Intern (US)
New York or Miami or Greenwich or Houston
$5k-$6k/wk OnsiteInternship
PhD in a quantitative field, advanced machine learning or statistics research, Python or C++ programming, data-driven research, algorithm development, and strong problem-solving and communication skills.
Python, C++
4d
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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/yr HybridFull Time
Requires machine learning research and production experience, strong Python and PyTorch skills, experiment design, model evaluation, cross-functional collaboration, and clear technical communication.
Python, PyTorch, AWS, MLOps, ASR, TTS
3w
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Staff Machine Learning Engineer
Austin, Texas, United States
$250k-$338k/yr HybridFull Time
3+ YOERequires 3+ years in machine learning algorithm development or optimization, a master's or PhD in a related technical field, Python, computer architecture, TensorFlow, PyTorch, and large-model GPU training.
Python, TensorFlow, PyTorch
3mo
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Senior Machine Learning Scientist, Conversion Modeling
Austin, Texas, United States
HybridFull Time
8+ YOEPhD in a quantitative field; 8+ years applied research with statistical and deep learning methods; published papers in DL; strong communication and collaboration.
Python, TensorFlow, PyTorch, NumPy, Pandas, scikit-learn
3mo
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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
2w
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Machine Learning Research Intern (Summer 2026)
Texas, United States
$30/hr RemoteInternship, Temporary
Currently pursuing an MS or PhD in a related field; requires strong Python, machine learning, model evaluation, LLM fine-tuning, large pre-trained models, and statistical evaluation skills.
Python, Java, JavaScript, Mistral, Gemma, LLaMA, YOLO, RT-DETR, CLIP, Qdrant, FAISS, MLflow, ZenML, Metaflow, LLaVA, MoLMo, Gemma Vision
2mo
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Senior Machine Learning Engineer
Austin or United States
$145k-$250k/yr RemoteFull Time
Proficiency with deep learning frameworks (PyTorch or TensorFlow), feature engineering, ML fundamentals, Python, ability to implement research techniques, and authorization to work where they live (U.S. preference; Western Hemisphere timezone).
PyTorch, TensorFlow, Python, Google Cloud Platform
2mo
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Machine Learning Scientist III - VRBO Pricing
Austin, Texas, United States
$138k-$193k/yr OnsiteFull Time
3+ YOE3+ years industry experience and an advanced degree (PhD preferred) in a quantitative field; expertise in machine learning, causal inference, and operations research; proficiency in Python/Scala and Hadoop/Spark; strong communication and experimentation skills.
Python, Scala, Hadoop, Spark
2mo
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Graduate Quantitative Researcher, PhD (2027 Start)
Austin or Chicago
OnsiteFull Time
PhD in a STEM field (Statistics, CS, ML, Mathematics) by mid-2027, strong math/probability/statistics, excellent research and modeling skills, machine learning experience, and programming proficiency.
2mo
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Senior Machine Learning Engineer - Research Optimisation
Sydney or San Francisco or Austin or Beijing or Prague
HybridFull Time
Strong Python and software engineering skills; production ML systems, PyTorch optimization, containers, Kubernetes, CI/CD, observability, distributed training, cloud experience, and clear technical communication.
Python, PyTorch, FSDP, DDP, DeepSpeed, Kubernetes, Weka, Vast, Lustre, ONNX, TorchScript, Triton, CUDA, torch.compile, TensorRT, Megatron, AWS
1w
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Postdoctoral Researcher (PIER - Pioneering Advanced Materials for Renewable Energy Research)
Prairie View, Texas, United States
OnsiteFull Time, Temporary
Ph.D. in materials science, physics, engineering, or related field earned within three years; machine learning and predictive modeling experience; materials characterization and independent research skills.
machine learning, PPMS, XRD, SQUID magnetometry, optical spectroscopy, scanning probe microscopy, high-performance computing, cloud-based machine learning platforms
2w
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Machine Learning and AI Applications for Human Spaceflight Applications
Houston, Texas, United States
OnsiteInternship, Full Time
Student internship for undergraduate or graduate applicants interested in AI/ML, human spaceflight, data analysis, Python, communication, independent work, and learning.
Artificial Intelligence (AI), Machine Learning (ML), Python
1w
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Postdoctoral Researcher (PIER - Pioneering Advanced Materials for Renewable Energy Research)
Prairie View, Texas, United States
OnsiteFull Time, Temporary
Ph.D. in materials science, physics, engineering, or related field earned within three years; experience applying machine learning and predictive modeling to materials science; materials characterization research expertise.
machine learning, predictive modeling, PPMS, XRD, SQUID magnetometry, optical spectroscopy, scanning probe microscopy, high-performance computing, cloud-based machine learning platforms
3w
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Quantitative Researcher, PhD New Grad
United States or Austin or San Francisco or New York City or Seattle or Los Angeles or Chicago or Gurugram or Bengaluru
$120k-$220k/yr RemoteFull Time
Quantitative researcher building production fraud and identity models. Requires quantitative training, machine learning or statistics foundation, Python experience, analytical ability, communication skills, and U.S. work authorization.
Python, PostgreSQL, Amazon Web Services (AWS), Amazon EC2, Amazon S3, Amazon RDS, Amazon Redshift
2mo
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Quantitative Researcher Intern
Dallas, Texas, United States
OnsiteFull Time, Internship
PhD (or working toward) in statistics/economics/finance or related field; proficiency in statistical/econometric modeling and machine learning; experience with large datasets; proficiency in R, Python, or Java; ability to work in Uptown Dallas; US work authorization required.
R, Python, Java
3mo
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POSTDOCTORAL RESEARCHER - Neurology - Lusk Lab [Req#: 947313, Position#: 116357]
Dallas, Texas, United States
OnsiteFull Time
Develop and evaluate LLM and agentic AI for extracting and structuring EHR data; skills in machine learning, NLP, prompt engineering, Python, R, and experience with large healthcare data environments required; CV required.
Python, R, EHR, LLM
1w
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2027 Undergrad Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op
Austin or Boxborough or Fort Collins or Longmont or Fishkill or Rochester
HybridInternship, Temporary
Currently enrolled in a US undergraduate program in computer science, computer engineering, data science, analytics, or a related field; knowledge of ML, Python, C/C++, databases, AI frameworks, and cloud platforms preferred.
Python, C, C++, SQL, PyTorch, TensorFlow, Caffe, AWS, GCP, Azure
1mo
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Senior Algorithm Engineer, Deep Learning & Vision
Houston or San Francisco
OnsiteFull Time
Advanced degree in CS/engineering/robotics/math/physics; deep expertise in machine learning and computer vision, transformers and SOTA techniques; familiarity with PyTorch and TensorFlow; independent and collaborative researcher.
PyTorch, TensorFlow, TensorRT
3w
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R&D Data Analysis and Machine Learning Software Engineer
Austin, Texas, United States
$104k-$174k/yr OnsiteFull Time
3+ YOEBachelor’s degree in natural or engineering sciences, 3+ years of data algorithm or machine learning experience, MATLAB and Python in UNIX/Linux, strong mathematics, applied research experience, and U.S. citizenship.
TensorFlow, Keras, Theano, Torch, Infer.NET, MATLAB, Python, UNIX, Linux, MATLAB MEX, SQL, C, C++, Shell
3mo
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Research Assistant Professor - Machine Learning and AI for Brain Mapping
El Paso, Texas, United States
OnsiteFull Time
Non-tenure-track research faculty to develop ML/AI methods for an integrated rat-to-atlas brain mapping pipeline using light-sheet 3-D microscopy and collaborate across neuroscience, imaging, and research software engineering.
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