Senior SW Engineer- Deep Learning

Final is a world leader in trading algorithms and trade execution technologies development. Our multi-disciplinary teams have developed a unique and highly successful machine learning algorithmic based HFT platform that delivers excellent results. 

 Our research is run by an outstanding team of brilliant researchers who love the extreme challenge of beating the markets. We consistently profit in challenging markets that get increasingly efficient. 

We have no customers, and no marketing. It is a pure technological and algorithmic challenge. Hence the time-to-market from a research idea until it is used and make profit by our trading machines is very short. 

In a world increasingly dominated by learning machines and artificial intelligence, we at Final are especially proud of our humans. Our elite team of exceptional people are the soul of our company, and it is our top priority to provide them with a professionally fulfilling environment that supports healthy work-life balance. Our employees are encouraged to pursue their passions outside of work and we are proud to offer them a variety of opportunities, multiple resources and an agile work environment which promotes their well-being. 

We are looking for a Deep Learning Engineer to join a small, fast-moving, Deep Learning research team. You will be working closely with our researchers, developing tools and optimizing models in both offline and online environments.

In this Role you will :

·        Optimize models and pipelines for both Training and Inference speed on various hardware

·        Develop frameworks for managing large-scale fault-tolerant training runs

·        Manage training and deployment to production

·        Develop research infrastructure for experiment management

·        Build highly efficient data pipelines

·        Collaborate with researchers on algorithm design and implementation.  

• At least 5 years experience of SW development experience working in a high-scale environment
• Experience with Deep Learning infrastructure
• Proficiency in Python
• Have the resilience to solve complex difficult problems.
• Independent, focused, well organized, and capable of prioritizing and multitasking  
• Be proactive and detail-oriented, yet comfortable working in a dynamic environment with fast paced deliveries and changing requirements
• B.Sc with honor from a leading University

Advantages:

• Proficient in one or more general-purpose programming languages C/C++/Rust
• Data science/ML experience
• Experience working in research environment

 Soft skills :

• Eager to learn and teach others
• Open-minded in search of great ideas
• Team player, with strong feeling of responsibility on team’s products / solutions