Senior Engineer - Machine Learning

General Summary:

• Qualcomm Bangalore AI Research is looking for world-class machine learning engineers in general domain of machine learning and more specifically deep learning for computer vision and image processing tasks.
• Active areas of research include low power embedded AI on edge devices, human centric AI, AI based personalization and recommendation systems, generative models and multi-modal fusion. The team comprises highly skilled and motivated professionals building advanced machine learning technology, best-in-class solutions, and model optimization tools enabling state-of-the-art network inferences on-device with limited power, memory, and computation.
• Members of our team enjoy the opportunity to participate in cutting edge research while simultaneously contributing technology that will be deployed worldwide in our industry-leading devices.

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 2+ 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
• ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience
• ORPhD in Engineering, Information Systems, Computer Science, or related field