Machine Learning/AI Research Scientist Intern
Bengaluru, Pune, Mumbai
About the Company
Hushh.ai uses ML to improve data management for AI applications. We offer research opportunities with experienced teams and competitive compensation. Experience the unique Hushh Garages work environment where innovation thrives.
Why Hushh ?
At Hushh, you'll join an innovative, ambitious startup that values creativity, perseverance, and teamwork. We believe in the transformational power of personal data in the hands of the individual and are committed to building a platform that champions this belief. As part of our team, you'll have the rare opportunity to shape something meaningful from its inception.
Hushh is an equal opportunity employer, championing inclusivity and diversity. We welcome all qualified applicants irrespective of race, religion, gender, sexual orientation, age, disability, or veteran status.
Responsibilities
- Design and implement cutting-edge machine learning models, including deep learning models for natural language processing (NLP), computer vision, and generative models.
- Develop innovative algorithms for data collection, organization, and management, with a focus on user privacy and security.
- Analyze large datasets to identify trends and insights that can inform product development.
- Conduct cutting-edge research and contribute to the broader machine learning community.
- Work within our dynamic Hushh Garages environment, fostering collaboration and knowledge sharing
Basic Qualifications
- PhD candidate in Computer Science, Mathematics, Statistics, or a related field from a top university.
- Strong programming skills in Python and proficiency with TensorFlow and other machine learning libraries.
- Deep understanding of data analysis and statistical methods.
Additional Requirements
- Familiarity with unsupervised learning, anomaly detection, and causal inference.
- Experience with big data platforms (Hadoop, Spark), data processing tools, and cloud-based ML services (Google Cloud ML, Amazon SageMaker).
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