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NeuralWorks is looking for a passionate AI Research Intern with a strong interest in Deep Learning, TensorFlow, and c...

Tensorflow Machine Learning Ai Research

$94k - $100k* · Senior Fully remote

What you'll do: Fine-tune and deploy open source NLP models like Falcon, Whisper, MPT, etc. Understand and implement ...

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Selected role

AI Research Intern – Deep Learning and TensorFlow

NeuralWorks Anywhere

$94k - $100k Senior Full-time

Job Summary

NeuralWorks is looking for a passionate AI Research Intern with a strong interest in Deep Learning, TensorFlow, and cutting-edge AI innovations. This internship is designed for individuals eager to gain practical experience in applied AI research while working alongside a team of highly skilled professionals. The role provides a unique opportunity to contribute to real-world projects, build advanced models, and deepen your understanding of AI frameworks in a dynamic and collaborative environment.

Key Responsibilities

Assist in the design, training, and evaluation of deep learning models using TensorFlow and related libraries.
Support research activities in areas such as computer vision, NLP, reinforcement learning, and generative AI.
Collaborate with senior researchers to develop, test, and optimize AI algorithms.
Perform data preprocessing, augmentation, and model fine-tuning to improve accuracy and efficiency.
Document research findings, experiment results, and technical insights.
Stay updated with the latest AI research papers, frameworks, and technologies.
Contribute to the development of internal tools, scripts, and workflows for AI experiments.

Required Skills and Qualifications

Currently pursuing a Bachelor’s/Master’s/PhD in Computer Science, Artificial Intelligence, Data Science, or related fields.
Strong foundation in machine learning, neural networks, and probability/statistics.
Hands-on experience with TensorFlow (preferred) or PyTorch.
Proficiency in Python and libraries such as NumPy, Pandas, and Matplotlib.
Understanding of key concepts such as CNNs, RNNs, LSTMs, GANs, and transformers.
Familiarity with research methodologies, data handling, and model evaluation metrics.
Strong problem-solving, critical thinking, and analytical skills.

Experience

Prior coursework, projects, or internships related to deep learning or AI research is highly desirable.
Exposure to GPU computing and cloud platforms (AWS, GCP, or Azure) is a plus.
Freshers with strong academic and project-based experience are encouraged to apply.

Working Hours

Flexible working hours with an expectation of 20–30 hours per week for part-time interns or full-time availability during summer/winter internships.
Remote and hybrid options are available depending on project requirements.

Knowledge, Skills, and Abilities

Ability to read, interpret, and implement research papers.
Strong communication skills for discussing technical concepts with both technical and non-technical teams.
Ability to work independently as well as collaboratively in a team setting.
High adaptability to new tools, frameworks, and emerging research directions.

Benefits

Opportunity to work on cutting-edge AI research projects with industry experts.
Gain hands-on exposure to TensorFlow and advanced AI frameworks.
Flexible work arrangements to balance academics and research.
Internship completion certificate with potential for a full-time role upon performance.
Access to mentorship, workshops, and internal training programs.
Networking opportunities with professionals and researchers in the AI field.

Why Join NeuralWorks

At NeuralWorks, we are committed to pioneering the future of AI by combining innovation, research, and real-world applications. As an intern, you will not only expand your technical expertise but also gain insights into the practical aspects of AI development. You will be part of a culture that values curiosity, creativity, and growth. This is more than an internship—it’s a stepping stone to becoming an impactful AI researcher.

How to Apply

Interested candidates should submit the following to our careers page or email:

Updated resume/CV highlighting academic background and projects.
A brief cover letter explaining your interest in AI research and TensorFlow.
Links to GitHub, Kaggle, or published papers (if available).

Shortlisted candidates will be contacted for an online technical assessment and interview.

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AI Research Intern – Deep Learning and TensorFlow

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AI Research Intern – Deep Learning and TensorFlow

Deep Learning Intern

Explore the complete AI ecosystem

Choose Your Plan

Simple pricing for serious AI hiring

Reach active AI talent

Max visibility to senior talent

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Explore the complete
AI ecosystem