... internship, personal, or professional projects. - Strong Python foundation and hands-on experience with at least one machine learning library or framework such as scikit-learn, TensorFlow, or PyTorch ...
... internship, personal, or professional projects. - Strong Python foundation and hands-on experience with at least one machine learning library or framework such as scikit-learn, TensorFlow, or PyTorch ...
Senior Autonomy Engineer
$102K - $140K/yr
Required * 1-3 years of professional software engineering experience (internships, co-ops, and ... Familiarity with ML/DL frameworks (e.g., PyTorch/TensorFlow) at a basic level. * Exposure to ...
Senior Autonomy Engineer
$102K - $140K/yr
Required * 1-3 years of professional software engineering experience (internships, co-ops, and ... Familiarity with ML/DL frameworks (e.g., PyTorch/TensorFlow) at a basic level. * Exposure to ...
$104K - $142K/yr
... internships, bootcamps, or self‑directed learning. 3+ years of experience in AI/ML, data ... as TensorFlow, PyTorch, OpenAI, or similar platforms. Experience working with large‑scale ...
$104K - $142K/yr
... internships, bootcamps, or self‑directed learning. 3+ years of experience in AI/ML, data ... as TensorFlow, PyTorch, OpenAI, or similar platforms. Experience working with large‑scale ...
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.
What are popular job titles related to Tensorflow Internship jobs in Michigan? For Tensorflow Internship jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Tensorflow Internship jobs in Michigan look for? The top searched job categories for Tensorflow Internship jobs in Michigan are:
What cities in Michigan are hiring for Tensorflow Internship jobs? Cities in Michigan with the most Tensorflow Internship job openings:
Corning rating
8.2
Based on 128 frontline employees who took The Breakroom Quiz
85th of 535 rated manufacturers
Job description
Are you ready to turn machine learning ideas into reliable solutions that improve how products are made?
What is your role?
As a Machine Learning Engineer, you will work within a collaborative technical team to build, deploy, monitor, and maintain machine learning solutions that create measurable business value. You will partner with data scientists, analytics leaders, IT, and manufacturing teams to move models from experimentation into scalable and reliable production environments. This role is based in Monterrey and requires regular onsite presence, with hybrid flexibility.
Major responsibilities and tasks of the position:
- Participate in the development and maintenance of end-to-end machine learning pipelines, including data ingestion, preprocessing, training, validation, deployment, monitoring, and retraining.
- Collaborate with data scientists and engineers to translate prototypes and experimental models into production-ready solutions.
- Support model serving through APIs, batch jobs, or real-time systems, and apply MLOps practices for versioning, orchestration, monitoring, and CI/CD.
- Troubleshoot data, model, deployment, and integration issues while maintaining clear technical documentation and participating in code reviews.
What do you need to have?
- Bachelor's degree in Computer Science, Engineering, Data Science, Software Engineering, Data Engineering, or a related technical field.
- 0-2 years of experience in machine learning, data science, data engineering, software engineering, or relevant hands-on academic, internship, personal, or professional projects.
- Strong Python foundation and hands-on experience with at least one machine learning library or framework such as scikit-learn, TensorFlow, or PyTorch.
- Understanding of the machine learning lifecycle and the ability to clearly explain a project, your personal contribution, the tools used, and the outcome.
- Basic familiarity with data pipelines, databases, APIs, software development practices, or workflow automation.
- Advanced technical and business English, both written and verbal.
- Ability to work onsite in Monterrey at least two days per week and support plant-based projects as needed.
What would be a plus?
- Exposure to Databricks, MLflow, Kubeflow, Docker, Kubernetes, CI/CD, or other MLOps/DevOps tools.
- Experience with manufacturing, industrial, process, plant, or production data.- A GitHub portfolio or other examples that demonstrate hands-on technical work.
What do we offer?
- Competitive benefits above the requirements of Mexican law.
- Opportunity to work on high-impact machine learning initiatives that support manufacturing and business transformation.
- Collaborative global environment with exposure to Data Science, IT, analytics, and manufacturing teams.
- Learning and career development in a growing technical organization.
Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodation to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodations related to disability or religion, please contact us at accommodations@corning.com