Title: Software Development Engineer

Duration:One year Umbrella contract (extensions possible)

Pay: £ 50 per hour

Location:Onsite in London role 5 days per week

Overview:

Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what our customers are watching?

Our vision is to ensure customers experience the highest quality video as the service scales to content from any source, available on any device, anywhere. We develop industry-leading mechanisms that customers to detect video defects automatically and instantly at any point in the video pipeline, from content origin to end users' device. We use the expertise we develop to advance the state-of-the-art in objective measures that can detect defects and predict our customer's perceptions of image and audio quality.

The solutions we're building are demanding. Collaborating with teams across the company and world leading universities we create novel algorithms to assess the presence of defects and overall video. This requires the use of the latest technologies across foundational models, transformer based architectures, masked autoencoders, image processing, image analysis, computer vision and machine learning. We need to optimise those algorithms to run accurately, efficiently and quickly so that reliable results are available as close to real-time as is possible. The scope of our charter means we're also utilising techniques such as contextual understanding and correction, to ensure the highest levels of video quality for our customers.

The range of problems we have to solve in our space, and the enormous potential to positively impact our ability to scale, provides a breath of opportunities for engineers to grow and develop their skills.

Key Responsibilities:

1. Our team develops detectors consisting of deep computer vision and Machine Learning (ML) techniques, that require the ability for team members to conduct research and methods that can identify these defects with high-accuracy and low friction that they optimise to achieve both low
2. latency and cost to operate for customers at scale.

Basic Qualifications:

• Lead engineers are expected to have a strong understanding of core SDE computer science skills that enable them to dive deep into algorithmic performance e.g., data structures.
• Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
• Experience programming with at least one modern language such as Python and Java
• Experience in professional, non-internship software development

Preferred Qualifications:

• Bachelor's degree in computer science or equivalent
• Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Experience with developing and deploying Machine Learning Operations (MLOps) at scale
• Experience with large scale foundational models and transformer based architecture (GenAI)