Role overview
- Advanced knowledge of computer vision algorithms and techniques, with a focus on deep learning methods for image and video analysis
- Proven experience in training large-scale neural networks on massive datasets, optimizing performance, and handling data storage and preprocessing
- Expertise in representation learning, including unsupervised, self-supervised, and transfer learning methods, with the ability to design and implement custom architectures for various tasks
- Proficiency in popular machine learning frameworks such as TensorFlow, PyTorch, or Keras, and experience with relevant libraries and tools for computer vision (e.g., OpenCV, PIL, scikit-image)
- Strong programming skills in Python and experience with parallel computing and GPU-accelerated computing (e.g., CUDA, OpenCL) for training and deploying neural networks
- Familiarity with state-of-the-art research in computer vision and the ability to adapt and implement novel techniques from published papers
- Experience with cloud-based platforms and tools (e.g., AWS, GCP, Azure) for training, deploying, and scaling AI models
- Strong analytical and problem-solving skills, with a track record of delivering high-quality results in research or industry settings
- Excellent communication skills, with the ability to collaborate effectively in cross-functional teams and present technical concepts to both technical and non-technical audiences
- Advanced degree (M.S. or Ph.D.) in Computer Science, Electrical Engineering, or a related field with a focus on AI, machine learning, or computer vision
Pay transparency statement (for CA and NY based roles):
The reasonably estimated salary for this role at TFH ranges from $174,000 - $275,000, plus a competitive long term incentive package. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, TFH offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, vision, a 401(k) plan and match, life insurance, flexible time off, commuter benefits, professional development stipend and much more!
What you'll work on
- Design and implement cutting-edge deep neural networks for large-scale iris recognition, targeting a billion-user scale and ensuring high accuracy and efficiency
- Continuously monitor, maintain, and refine the computer vision identification engine to enhance performance and adapt to evolving requirements
- Collaborate closely with our data collection team, designing streamlined workflows to acquire the necessary training data for optimal model performance
- Stay up-to-date with the latest advancements in computer vision research, identifying and applying relevant techniques to our domain for continuous improvement
- Embrace a culture of innovation by actively testing, iterating, and developing new ideas and methodologies, driving the team's technical growth and overall success
Tags & focus areas
Used for matching and alerts on DevFound Research Ai Dev Senior Remote Tensorflow Pytorch Keras Python Aws