Research Engineer

Overview

Research-first engineering role working on exploratory projects at the intersection of AI and vision technology, investigating open-ended problems and prototyping novel approaches.

What you'll do

• Research, prototype, and evaluate approaches to challenging problems in AI and vision technology
• Translate research ideas into working proofs-of-concept and experiments
• Leverage modern AI tools and frameworks to accelerate research, prototyping, and problem-solving
• Stay current with the latest developments in AI, computer vision, and machine learning, and bring relevant ideas to the team
• Collaborate with cross-functional teams to explore how research can address real product and customer needs
• Document findings, share learnings, and contribute to the team's research direction

What you'll need

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field from a top-tier engineering institute
• 0–3 years of experience (fresh graduates with strong research aptitude are encouraged to apply)
• Demonstrated ability to solve unsolved problems and have the aptitude to research and experiment using first principles
• Comfortable with ambiguity, self-driven, and motivated by hard, open-ended problems
• An AI-first approach — you instinctively reach for AI tools to learn faster, prototype quicker, and solve problems more effectively
• Active badge holder on Salesforce Trailhead
• AI-assisted testing using tools like Claude, Cursor, or Codex for test case generation and automation scripting

Nice to have

• Exposure to computer vision — image processing, object/pattern recognition, OCR, or related areas
• Hands-on experience with modern AI tools, LLMs, or AI-assisted development workflows
• Research experience demonstrated through publications, thesis work, competitions (e.g., Kaggle), or notable projects
• Experience building prototypes or experimental systems end to end
• Strong programming fundamentals (Python preferred) and a solid grasp of data structures, algorithms, and mathematical foundations
• Familiarity with machine learning concepts and frameworks (e.g., PyTorch, TensorFlow)

Details

• Location: Noida, India
• Hybrid work arrangement