<p>Notice Period : 30 Days (max)<br/><br/> About the Role :<br/><br/>We are seeking an experienced and highly motivated AI Research Scientist to join our fully remote, innovative research and development team.
This mid to senior-level role is crucial for advancing our core AI technology and translating cutting-edge academic research into robust, scalable product features.
You will be responsible for conducting independent research, developing novel algorithms, and collaborating with engineering teams to deploy production-ready AI models.<br/><br/> Key Responsibilities :<br/><br/>Conduct Advanced Research: Independently design, execute, and document research experiments in core AI domains such as Deep Learning, Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning (RL), with a focus on delivering demonstrable, state-of-the-art results.<br/><br/>Algorithm Development: Invent, develop, and optimize novel machine learning and statistical models to solve complex, real-world business problems and push the boundaries of current technology.<br/><br/>Prototyping and Implementation: Rapidly prototype research ideas, transforming theoretical concepts into functional, scalable, and efficient code using professional software engineering practices.<br/><br/>Publication and IP: Lead the preparation and submission of research papers to top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL) and journals, and contribute to the company's intellectual property portfolio.<br/><br/>Collaboration & Mentorship: Work closely with Machine Learning Engineers, Data Scientists, and Product Managers to ensure research efforts align with product roadmaps and are successfully integrated.
Mentor and guide junior researchers and interns.<br/><br/>Stay Current: Maintain a deep understanding of the latest developments, trends, and technologies in the global AI research community.<br/><br/> Required Qualifications & Skills<br/><br/>Experience: 4 to 8 years of post-academic experience in an AI Research Scientist, Machine Learning Research, or Applied Scientist role, specifically focused on research and model development.<br/><br/>Education: Master's or Ph.D. in Computer Science, Artificial Intelligence, Mathematics, Statistics, Electrical Engineering, or a closely related quantitative field.<br/><br/>Technical Proficiency :<br/><br/>- Expert-level proficiency in Python and scientific computing libraries (e.g., NumPy, Pandas).<br/><br/>- Extensive experience with major deep learning frameworks such as PyTorch and/or TensorFlow.<br/><br/>- Solid foundation in mathematics (linear algebra, calculus, probability, and statistics).<br/><br/>- Proficiency with cloud platforms (AWS, Azure, or GCP) for model training and deployment.<br/><br/>- Experience with Git and MLOps principles is highly desirable.<br/><br/>Research Track Record : </p><p><br/></p><p>- A demonstrable history of independent research, as evidenced by a strong portfolio of projects, relevant patents, and/or high-quality publications in recognized peer-reviewed venues.<br/><br/>Soft Skills :<br/><br/>- Exceptional critical thinking and problem-solving abilities.<br/><br/>- Excellent written and verbal communication skills to clearly articulate complex technical findings to both technical and non-technical stakeholders.<br/><br/>- Proven ability to thrive in a fully remote and asynchronous work environment, demonstrating self-discipline and strong time management<br/></p> (ref:hirist.tech)