Algorithm Developer

 

Summary: The main function of an algorithm developer is to design and implement algorithms for machine learning. The typical developer will be able to test the effectiveness of routines against requirements. In addition, embedded firmware efforts are needed to deploy the developed algorithms to hardware. 

 

Job Responsibilities: 
Training and Optimizing ML/hybrid pipelines for hardware deployment
• Develop and apply advanced methods, theories, and research techniques of algorithms related to Deep Learning 
• Designs, implements and tests algorithms for a variety of machine learning (deep learning) tasks 
• Design statistical models and algorithms for analysing workload performance 
• Synthesize algorithm needs and designs for customer requirements. 
• Identify, troubleshoot, and resolve issues found with software 
• Deploy algorithms to hardware. • Improve software performance 

Sensors and systems team. Use sensors to collect data and run ML algorithms and use that to build prototypes. Wire bulids and robotics 

 

Skills: 
• Experience with algorithm development (PyTorch, Tensorflow) 
• Experience with object-oriented programming in C or other languages 
• Experience with embedded systems (e.g. Raspberry Pi, NVidia Jetson, FPGA) and deploy algorithms to hardware 
• Experience with machine learning toolkits and platforms 
• Ability to deploy algorithms to hardware by porting them to firmware 
• Ability to manage projects autonomously.

 

Education : (Minimum) Bachelor’s Degree in computer science, mathematics, or related field preferred, Masters preferred