Deep Learning Engineer

Location London
Discipline: Data Science
Job type: Permanent
Salary: Negotiable
Contact name: Bradley Green

Contact email: bradley@ds-group.co.uk
Job ref: 32187
Published: 3 months ago
Startdate: ASAP

We are looking for an independent, self-driven Deep Learning Engineer to a revolutionary DeepTech startup who are transforming the world of streaming. Engage with world renown companies and help solve some of the biggest technical challenges behind advanced video systems that companies, and environment is facing today. They are proud to be working with household names in the sector to reduce the strain on already-overburdened networks and cut the ballooning costs of the data centre and streaming industries, while improving the quality of end users.

Responsibilities

  • Develop and improve core deep learning architectures for video pre-processing for a variety of applications, such as live video streaming, Video-on-Demand, cloud gaming etc.

  • Research and prototyping of new methods for fast image and video enhancement, particularly related to bandwidth saving and video streaming quality enhancement

  • Draft publications and patent submissions in collaboration with other team members

  • Participate and assist the team in commercial evaluations with top-tier companies

Essential qualifications

  • MSc. in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning or a related field, or equivalent skills evidenced by work experience in the specific domain of the post

  • Strong background in: Python; TensorFlow (preferably v1) or PyTorch; evidenced by the development of advanced applications in image/video processing or computer vision (minimum of 12 months experience)

  • Strong analytic background in deep neural networks, evidenced by knowledge of how to formulate and test advanced loss functions in neural network design, and design and test of advanced convolutional, recurrent or other neural network architectures in a task-specific manner

  • Experience in training and inference with neural network architectures on CPUs/GPUs in cloud (AWS or GCE) and Tensorflow or PyTorch in VMs or Docker containers

  • Experience in training, validation and evaluation of deep neural network models on large datasets, evidenced by experience in using Python libraries like h5py or similar

Desired qualifications

  • Publications in top-tier conferences and journals: IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, conferences like IEEE CVPR/ICCV/ECCV, NeurIPS, ICML, ICLR, or similar

  • Solid experience in image processing theory and methods, evidenced by the development of practical designs in this area

  • Knowledge of image and video compression and the use of FFmpeg/libav libraries

Why join the team

  • Be part of an award-winning & rapidly-growing start-up company in deep learning and video streaming technologies

  • CDL Oxford AI Cohort graduate and backed by some of the leading tech experts

  • Possibilities to interact with top-tier industrial labs who are trialling or using the companies technologies worldwide

  • Collaborate and learn from professors and senior researchers who are part of the the team

  • Room to innovate and come up with breakthrough ideas

  • Career evolution via publications and patent filings, which are strongly encouraged and are part of the official duties of the post

  • Access and support to use state-of-the-art CPU and GPU cloud computing facilities

  • Competitive salary and performance bonus