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Tensorflow Internship Jobs in Texas (NOW HIRING)

Hp

Tech Marketing & Performance Engineer

Spring, TX

$65K - $101K/yr

PyTorch, TensorFlow, Transformers) * Exposure to Docker containers or container-based development ... Typically 0-2 years of relevant experience through internships, or academic projects, or ...

Copart, Inc.

DevOps Engineering Intern

Dallas, TX · On-site

Personal, academic, or internship projects involving Kubernetes or cloud deployments. * Experience ... Exposure to AI/ML frameworks such as TensorFlow, PyTorch, or MLflow. * Experience building ...

Waabi

Research Scientist, Simulation Agents

Dallas, TX · On-site +1

$158K - $269K/yr

... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ... TensorFlow, or Jax. Bonus: - Experience in self-driving, traffic simulation, or a related field ...

Waabi

Research Scientist, Simulation Agents

Dallas, TX · On-site +1

$158K - $269K/yr

... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ... TensorFlow, or Jax. Bonus: - Experience in self-driving, traffic simulation, or a related field ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

... Internship experience does not apply) * At least 4 years of experience programming with Python ... TensorFlow * Experience deploying AI solutions within a strictly regulated environment ...

Waabi

Research Scientist, Simulation Agents

Dallas, TX · On-site +1

$158K - $269K/yr

... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ... TensorFlow, or Jax. Bonus: - Experience in self-driving, traffic simulation, or a related field ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

... Internship experience does not apply) * At least 4 years of experience programming with Python ... TensorFlow * Experience deploying AI solutions within a strictly regulated environment ...

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Tensorflow Internship information

What types of projects and responsibilities can a Tensorflow intern expect to work on during their internship?

As a Tensorflow intern, you will typically assist with developing and optimizing machine learning models using Tensorflow, collaborating closely with data scientists and engineers. Your daily tasks may include preprocessing datasets, implementing neural networks, running experiments, and evaluating model performance. Interns often contribute to ongoing research or product development, gaining exposure to both coding and theoretical aspects of deep learning. You'll also have opportunities to participate in code reviews and team meetings, fostering both technical and collaborative skills.

What are the key skills and qualifications needed to thrive as a TensorFlow Intern, and why are they important?

To thrive as a TensorFlow Intern, you typically need a solid background in computer science, mathematics, and machine learning concepts, often supported by coursework or projects. Familiarity with Python, TensorFlow, and related libraries, as well as experience using version control systems like Git, is essential. Strong problem-solving skills, curiosity, and effective teamwork set standout candidates apart. These abilities are crucial for efficiently developing and testing machine learning models within collaborative and innovative environments.

What is a TensorFlow internship?

A TensorFlow internship is a temporary position, often for students or recent graduates, where individuals gain hands-on experience working with TensorFlow, an open-source machine learning framework developed by Google. Interns typically contribute to real-world projects involving machine learning, deep learning, and AI, using TensorFlow to build, train, and deploy models. These internships provide practical exposure to data science workflows, allow interns to collaborate with experienced professionals, and help them build a strong foundation for a career in artificial intelligence or machine learning.
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Tensorflow Internship jobs near you

Machine Learning/Deep Learning Engineer(PhD, New Grad)

Bot Auto

Houston, TX

Other

Posted 11 days ago

Job description

Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.

Key Responsibilities
  • Model Implementation & Iteration: Participate in the development, training, and optimization of state-of-the-art deep learning models for autonomous driving, with a focus on end-to-end architectures, including object detection, tracking, online mapping, and end-to-end planning.
  • Full Lifecycle Execution: Engage in the entire machine learning workflow under the guidance of domain experts, spanning from data curation and data analysis to model experimentation, hyperparameter tuning, and rigorous performance metric verification.
  • Cross-Functional Collaboration: Partner with simulation, infrastructure, and downstream planning/control teams to deploy, evaluate, and integrate machine learning components into our production pipeline for autonomous trucks.
  • Literature Tracking: Stay abreast of the latest research breakthroughs in computer vision and generative AI, and actively bench-test promising SOTA methods to solve real-world corner cases.
QualificationsRequired:
  • Education: An advanced degree (Master's or Ph.D., including upcoming graduates) in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field.
  • Core Knowledge: Strong theoretical foundation in machine learning, deep learning, and computer vision, with a solid understanding of modern architectures (e.g., Transformers, CNNs, Graphs).
  • Technical Stack: Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow, along with strong software engineering fundamentals (data structures, algorithms, and clean coding practices).
  • Attributes: High self-motivation, strong analytical and problem-solving skills, a fast learner in a high-velocity startup environment, and a strong team-player mindset.
Preferred (Targeted Research & Background):
  • Specific Research Directions: Academic thesis or deeply focused research experience in one or more of the following domains:
    • 3D Computer Vision / Bird's-Eye-View (BEV) Perception
    • Online Mapping, Vectorization, or Visual SLAM
    • Prediction and Behavioral Modeling
  • Academic Achievements: A proven track record of research publications in top-tier machine learning, computer vision, or robotics conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS) as a primary contributor.
  • Engineering Plus: Hands-on experience with model deployment, quantization, distillation, or inference acceleration tools (e.g., TensorRT, ONNX, CUDA, C++).
  • Industry Exposure: Prior internship experience within the autonomous driving industry or advanced robotics labs is highly desirable.

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