AI Research Intern

Location: Onsite - Origin Medical Research Lab, 644, 12th Cross Road, HSR Layout, Bengaluru, Karnataka 560102

Team: AI Research

Job Type: Internship

Skills: Deep Learning, Computer Vision, Python, Pytorch, project management skills.

Origin Medical Research Lab seeks highly talented and self-motivated individuals ready to build impactful products to democratize quality prenatal care globally for every expecting mother. At Origin Medical Research Lab, we offer an empowering work environment that allows you to take full ownership of your work and fosters collaboration and personal growth. We look for exceptional individuals and outliers who want to join us on this mission. Embark on a purpose-driven career journey by joining our team.

About Origin Medical Research Lab

Origin Medical Research Lab is the research arm of Origin Medical. Here, we strive to bring together the best and brightest minds at the intersection of AI and healthcare to fulfill Origin Medical’s mission.

By combining the knowledge of healthcare and AI, it is on a journey to build state-of-the-art solutions aimed at supporting a broad spectrum of healthcare providers in rural and urban communities, allowing them to practice at the top of their licenses. With AI in the imaging workflow, clinicians can more confidently deliver timely interventions, enhance pregnancy outcomes, identify high-risk pregnancies to reduce maternal mortality, and significantly lower infant mortality rates.

Origin Medical, headquartered in Cambridge, Massachusetts, USA, is driven by a mission to advance maternal health equity by improving access to quality prenatal care with artificial intelligence.

About AI Research Team and the Role

As an AI Research Intern at Origin Medical Research Lab, you will be working with our team of research engineers, AI scientists, leading medical institutions, and clinicians in developing the next-generation deep learning algorithms for the automated assessment of fetal ultrasound images. Our internships provide a very unique hands-on first of its kind research experience to solve the most challenging AI problems that push the frontiers of AI in healthcare. You will have the opportunity to try and test hypotheses for multiple experiments and be mentored by industry experts to translate your research into a product for real-world impact.

What will you do?

• AI algorithmic research: Design, and implement next-generation deep learning models (e.g., Classification/Segmentation/Object detection/ Landmark detection) to build world-class products. This also includes the development of visualization tools and frameworks to create interpretable deep-learning models.
• AI algorithm validation: Validate deep learning technologies for safety, and efficacy at various stages of the product development life cycle.
• Technology translation: Work with Product, Software, and Regulatory teams to translate technologies developed into products for real-world use.
• Technology and engineering strategy: Research into the latest technologies (not limited to AI) to provide strategy and direction in product development.

Who are we looking for?

• Passionate in developing the next generation of deep-technological healthcare solutions to impact the lives of millions of expecting mothers and their families around the world.
• At least 6 months of hands-on experience in deep learning or machine learning research and development pertaining to image recognition: convolutional neural networks, optimization, hyperparameter tuning, model search, etc.
• Analytical thinker with an innate inquisitiveness, relevant interests, and creativity.
• Ability to quickly read, understand and implement academic publications.
• Team player and eager-to-learn attitude.
• Ability to communicate complex ideas effectively - both verbally and writing - in English.
• Previous internship experience in early-stage startups is a plus.

Experience in:

• Language: Python
• Frameworks: PyTorch(Preferred), TensorFlow, Keras;
• Libraries: OpenCV, Pandas, PIL, Matplotib, etc.

Basic understanding and knowledge in:

• Medical imaging processing.
• Real-time model development and deployment frameworks.
• Git and Git workflow.

Working at Origin Medical Research Lab

• You will receive competitive monthly compensation aligned with industry standards.
• You will work with an exceptional team of highly qualified individuals who strive towards a common goal of delivering a product that improves the standard of care for expecting mothers everywhere.
• You will also collaborate with renowned clinicians, AI scientists, and business leaders from around the world.
• At Origin Medical Research Lab, we take pride in fostering an inclusive and optimistic company culture that places great value on collaboration, teamwork, and work-life balance. As a valued member of our team, you will have the opportunity to join a supportive environment where individuals genuinely care about each other's success and well-being. Our dedicated colleagues are always ready to lend a helping hand and wish you nothing but the best in your professional journey.

This job posting is valid only on our official LinkedIn page, the mentioned URL, and authorized platforms such as Naukri. We are not responsible for any job postings or advertisements on third-party sites not listed above.

Please note that our company does not charge any fees for internships or job applications. Any such requests for payment should be considered fraudulent. We strongly advise you to report any suspicious activity involving our name to the appropriate authorities.

Any unauthorized use of our job postings, company information, or data by third parties for their business activities is strictly prohibited. Such actions may be in violation of the Information Technology Act and will be subject to legal penalties under applicable laws.

The information provided in this job posting outlines the general nature of the role. It is not an exhaustive list of responsibilities, duties, or skills required. The company reserves the right to make changes to this description at any time based on business needs.

Our company is an Equal Opportunity Employer, and we do not discriminate based on race, color, religion, gender, national origin, age, disability, sexual orientation, or any other status protected under federal, state, or local laws.