Remote M/L Compiler Engineer

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

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Remote M/L Compiler Engineer. In this role, you will contribute significantly to the field of machine learning by implementing advanced techniques and frameworks. Your efforts will help leverage extensive machine learning capabilities across various technology sectors, including mobile, edge, and IoT. Collaborating with cross‑functional teams, you will drive innovations that enhance product efficiency and effectiveness. Your work will have far‑reaching implications, helping create smarter, connected solutions for various applications.

Accountabilities

• Leverage advanced machine learning knowledge to enhance training frameworks and model efficiency tools.
• Architect and develop machine learning hardware co‑designed with software for inference and training.
• Create optimized software enabling AI models on hardware, working directly with hardware teams.
• Apply machine learning techniques to develop innovative products and AI solutions.
• Prototype novel machine learning solutions aligned with product roadmaps.
• Conduct experiments to train and evaluate machine learning models and software.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of experience with popular machine learning frameworks (e.g., TensorFlow, PyTorch).
• Experience in embedded system development and optimization for specific ML problem domains.
• Proficiency in programming languages suitable for machine learning (e.g., Python, C++).
• Strong understanding of statistics and probability concepts.
• Experience in technical leadership roles and cross‑team collaboration.
• Familiarity with operating systems interactions and hardware integration.

Benefits

• Opportunity to work remotely in a dynamic and innovative environment.
• Collaborative culture with a focus on cutting‑edge technology development.
• Career development opportunities through hands‑on experience in machine learning.
• Flexible working hours to accommodate individual work‑life balance.
• Access to up‑to‑date resources and tools necessary for machine learning engineering.

We appreciate your interest and wish you the best!