Job Description
Ovii's Interpretation of the Role
The AI Researcher will lead original research, design novel algorithms, and build prototypes that advance Virallens' AI products. The role emphasizes deep expertise in at least one AI/ML sub‑field, rigorous experimentation, and publishing high‑impact papers.
Role Snapshot
- Conduct AI/ML research
- Design and implement novel algorithms
- Build experimental prototypes
- Publish peer‑reviewed research
- Collaborate with engineering and product teams
- Evaluate model robustness and reliability
Must-Have Requirements
- Deep expertise in at least one AI/ML research domain
- Minimum 3 peer‑reviewed publications in top AI/ML venues
Nice-to-Have Signals
- Familiarity with multiple AI/ML domains
- Deep expertise in a specific AI/ML sub‑field
Work Setup
- Location: Bengaluru, India
- Work mode: ONSITE
- Employment type: Full-Time
Not Specified in JD
- Visa sponsorship
- Salary range
- Remote eligibility
- Education requirement
- Certifications
What You'll Likely Work On
- Identify and formulate high‑impact research problems in your AI/ML specialty
- Reproduce, extend, and benchmark state‑of‑the‑art techniques from recent papers
- Design and implement novel models, architectures, or algorithms
- Create experimental pipelines and prototypes to validate ideas
- Run systematic experiments, ablation studies, and performance analyses
- Document findings and present results to engineering, product, and external audiences
- Partner with AI Engineering and Product teams to transition promising prototypes into production
- Contribute to responsible AI practices by investigating robustness, interpretability, and bias
Good Fit If You Have
- Strong publication record (≥3 peer‑reviewed papers in top venues)
- Deep expertise in at least one AI/ML domain listed in the JD
- Ability to translate research concepts into practical AI capabilities
- Collaborative mindset for cross‑functional teamwork
Skills
- Deep learning
- Generative AI / Foundation models
- Computer Vision
- Reinforcement Learning
- Recommendation Systems
- Search & Retrieval
- Speech & Audio AI
- Time‑Series Modeling
- Graph Machine Learning
- Robotics & Embodied AI
- Research methodology & experimental design
- Model evaluation & benchmarking