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

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$94k - $100k* · Senior Fully remote

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AI Research Intern – Deep Learning and TensorFlow

NeuralWorks Anywhere

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$94k - $100k · Senior Full-time Posted about 2 months ago 3 min read

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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