Roles & Responsibilities
You will be part of a multi-disciplinary talented team working on on-device AI research, development and end to end prototyping of given use-case. Collaborate in a cross-functional environment spanning hardware, software and systems. See your design in action on industry-leading chips embedded in the next generation of smartphones, augmented reality headsets, autonomous vehicles, robotics, and IOT devices.
Key job responsibilities may include a subset of the following:
- Develop machine learning algorithms for advanced imaging features (low-light, next-generation sensors, vision and scene understanding etc.)
- Develop learnable image signal processing (ISP) pipeline for image reconstruction and classification tasks
- Develop agentic workflows and completely automated recommendation systems
- Develop federated learning and on-device incremental model refinements
- Work on quantization and low rank adaptation strategies
- Work on training strategies and supporting deployment and commercialization for the machine learning features
- Work on system and algorithmic design changes to improve machine learning inference speed
- Lead teams to drive innovative research ideas and develop prototype in collaboration with other researchers and engineers.
- Stay abreast with latest SOTA and actively shape latest research in the field.
- Stay passionate at execution.
- Contribute to purposeful innovation.
- Engage with leads and stakeholders across business units to translate research into business impact.
Minimum qualifications:
- Master's / Ph.D degree in Computer Science, or related Engineering field with 8+ years of active experience in AI Research, Software & Systems Engineering and related work experience.
- Working experience in machine learning and deep network architectures
- Working experience with machine learning framework/packages (e.g, PyTorch, TensorFlow)
- Strong background in image and signal processing, statistics, and data analysis.
- Strong programming skills and working experience in C/C++ and Python.
Additional qualifications:
- Background in color science, and image signal processor pipelines
- Prior work experience with Object detection/classification/tracking, Recommendation Systems, Human Aware AI, RAW to RGB AI ISP Tasks, Stable Diffusion, VLM, LLM and Control Net implementations
- Prior work experience with on-device AI model optimization, federated learning, RL, IL.
- Prototyping of an AI solution on Android / Linux
- Exposure to hardware and systems architecture for power, performance, accuracy trade-offs
Keywords: Deep Learning, Machine learning, Generative AI, Computer Vision, Image Processing, ISP, Model Optimization
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.