Remote ML Compiler Engineer: AI Hardware & Inference

Jobgether; Remote; GBP 70,000 - 90,000; Full time

Job summary

A leading technology firm is seeking a Remote M/L Compiler Engineer to enhance machine learning frameworks and work on innovative AI solutions. In this role, you will develop optimized software and collaborate with cross-functional teams to drive innovations that improve product efficiency across various technology sectors. Applicants should have a Bachelor’s or Master’s degree in a relevant field and at least 5 years of experience with machine learning frameworks like TensorFlow and PyTorch. The position offers a dynamic remote work environment with flexible hours and career development opportunities.

Benefits

Opportunity to work remotely

Collaborative culture

Career development opportunities

Flexible working hours

Access to up-to-date resources

Qualifications

• 5+ years of experience with popular machine learning frameworks.
• Experience in embedded system development and optimization.
• Strong understanding of statistics and probability concepts.

Responsibilities

• Leverage advanced machine learning knowledge to enhance frameworks.
• Architect and develop machine learning hardware.
• Conduct experiments to train and evaluate machine learning models.

Skills

Machine learning frameworks

Embedded system development

Programming (Python, C++)

Technical leadership

Statistics and probability

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Job description

A leading technology firm is seeking a Remote M/L Compiler Engineer to enhance machine learning frameworks and work on innovative AI solutions. In this role, you will develop optimized software and collaborate with cross-functional teams to drive innovations that improve product efficiency across various technology sectors. Applicants should have a Bachelor’s or Master’s degree in a relevant field and at least 5 years of experience with machine learning frameworks like TensorFlow and PyTorch. The position offers a dynamic remote work environment with flexible hours and career development opportunities.