Senior Computer Vision and Machine Learning Research Scientist
Women In Machine Learning And Data Science, Mumbai · Seattle, WA · 2 mo ago
OTHRFull-time
What You’ll Do
- Collaborate with other scientists, engineers and product managers to build proof-of-concepts to shape the Axon of tomorrow.
- Lead end-to-end research efforts in advanced computer vision, machine learning and gen-AI techniques for cloud and devices from multimodal data sources, including scene understanding, action recognition and anomaly detection.
- Design and implement responsible, privacy-preserving, efficient and scalable models for inference and analysis of visual data.
- Develop performance and quality metrics for CVML models and systems, and validate their effectiveness in real-world settings.
- Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
- Stay up-to-date with the latest research and advances in CVML and translate relevant findings into shipping Axon products.
- Contribute to academic publications, technical documentation, and patent disclosures to share insights and findings with the broader community.
- Coach and mentor junior scientists.
What You Bring
- PhD and 3+ years experience in Computer Science or a related field with a focus on computer vision, machine learning, artificial intelligence or related technical fields.
- Proven track record of research in machine learning, computer vision or related fields.
- Experience driving the ML development lifecycle and leveraging state-of-the-art research to deliver high quality models at scale.
- Strong computer vision fundamentals such as image processing, feature extractions, object detection, semantic segmentation, video analysis or action recognition.
- Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
- Proficiency in Python and frameworks such as PyTorch, TensorFlow or Keras.
- Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.
- Experience in developing computer vision algorithms for resource-constrained edge devices or embedded systems preferred but optional.