HPC Deep Learning Research Scientist

YOUR ROLE:

• You will work in our research team to extend the capabilities of neural networks applied to video / audio / text understanding and common sense reasoning.
• You will perform research on recurrent networks, attention policies, multi-task learning and scaling up training.
• You will have expert understanding of NIPS, ICLR, CVPR, PAMI.
• You will help define and shape a platform with practical real world client applications from Day 1 at the forefront of Deep Learning and AI.

We have used our expertise to:

Increase crop yields, predict credit defaults, identify dark matter, render blockbuster VFX, develop & simulate medical breakthroughs, calculate re-entry profiles for spacecraft, give machine vision to Robots and UAV’s, and much more.........

WHAT WE OFFER:

• Full time, Part-time, Contract Roles.
• The opportunity to work in an industry respected business with extensive clients, and deep HPC and BigData experience.
• We embrace remote working. If you have commitments, or a personal preference to work from a location of your choice, we embrace it.
• We welcome applications from overseas applicants open to working remotely.
• Work with subject matter experts with real world client problems.
• Did we mention we have Space Industry clients?
• A fun, dynamic environment with the latest and best hardware for AI, BigData and DL, and problems at the forefront of DL research.

BENEFITS

• Choice of technical or organizational leadership career growth,
• State-of-the-art technology environment,
• Innovation, proof-of-concept, and first-article rapid prototype focus,
• When submitting your application, you’ll have shown you have an eye for detail by including ‘Hydrae’ in your cover letter.
• Small-team workplace flexibility and work-life balance,
• Start-up and innovation culture

COMPENSATION

EngineRoom offers some of highest, and flexible compensation offerings in the global market. We work flexibly at EngineRoom offering a range of balanced options for how, when and where you work.