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Summer Machine Learning Software Engineer Jobs in Texas

Senior Machine Learning Engineer

Houston, TX

$117K - $154K/yr

The individual will work closely with the data and machine learning specialists, software engineers and commercial teams to deliver machine learning models and applications. We work across the ...

The BCI team develops the software and systems that communicate with the brain. These systems ... About the Role: Engineers on the BCI team utilize signal processing and machine learning to ...

Job Summary We are seeking a Machine Learning Engineer with strong expertise in machine learning model development, data engineering, and modern cloud-based analytics platforms. This role will focus ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

To be successful, candidates will need a machine learning background, proven software development ... Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ...

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

... Top Software & Technology Providers, and FreightWaves' FreightTech 2022 and 2021 Awards for ... About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ...

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Summer Machine Learning Software Engineer information

What is the difference between Summer Machine Learning Software Engineer vs Summer Data Scientist?

AspectSummer Machine Learning Software EngineerSummer Data Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related fields; coding skills in Python, JavaBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentSoftware development teams, coding, model deploymentData analysis, statistical modeling, data visualization
Employer & Industry UsageTech companies, startups, research labsTech firms, finance, healthcare, consulting

While both roles involve working with data and algorithms, Summer Machine Learning Software Engineers focus on developing and deploying machine learning models through coding and software development. Summer Data Scientists primarily analyze data, build statistical models, and generate insights. The roles often overlap but differ in their core activities and skill emphasis.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Texas? The most popular types of Machine Learning Software Engineer jobs in Texas are:
Software Engineer - Machine Learning - IV

Software Engineer - Machine Learning - IV

Judge Group, Inc.

Richardson, TX

$88K - $121K/yr

Other

Posted 17 days ago


Job description

Location: Richardson, TX Salary: Depends on Experience Description: Our client is currently seeking a Software Engineer - Machine Learning - IV
This job will have the following responsibilities:
  • We are seeking a highly skilled AI Systems Contractor to join our advanced AI engineering team. This role is ideal for someone with deep technical expertise in Large Language Models (LLMs), agentic AI workflows, and high-performance computing environments. You will play a critical role in designing, building, and optimizing AI solutions that leverage NVIDIA GPUs within a Red Hat OpenShift platform.
    You'll work across the full AI development lifecycle-from rapid prototyping in Jupyter Notebooks to deploying scalable, production-grade systems.
    Responsibilities
    • Develop & Fine-Tune AI Models: Build and optimize LLMs and other deep learning models tailored to project needs.
    • Design Agentic AI Systems: Architect and implement multi-agent AI workflows capable of autonomous task execution.
    • GPU Optimization on OpenShift: Deploy and manage AI/ML workloads on OpenShift, ensuring efficient GPU utilization.
    • Python & Jupyter Development: Use Python and Jupyter for prototyping, experimentation, and model training.
    • Pipeline & Infrastructure Management: Maintain robust data/model pipelines and troubleshoot performance bottlenecks in containerized environments.
    • Cross-Functional Collaboration: Partner with data scientists, engineers, and project managers to deliver high-impact AI solutions.

    Minimum Qualifications
    • Proven experience developing AI systems, including LLMs and agentic AI architectures.
    • Advanced proficiency in Python and experience with frameworks like PyTorch, TensorFlow, LangChain, and Hugging Face.
    • Hands-on expertise with Jupyter Notebooks for model development.
    • Direct experience deploying containerized AI workloads using NVIDIA GPUs on Red Hat OpenShift.
    • Strong understanding of Docker, Kubernetes, and CI/CD practices.
    • Excellent problem-solving skills in high-performance computing environments.
    • Bachelor's degree in Computer Science, Engineering, or a related field-or equivalent practical experience.

    Preferred Qualifications
    • Experience with distributed training and model serving at scale.
    • Familiarity with MLOps tools and practices.
    • Contributions to open-source AI projects or research publications.

By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!