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M/L Compiler Engineer - REMOTE

Jobgether

United Kingdom

Hybrid

GBP 60,000 - 80,000

Full time

3 days ago
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Job summary

A leading technology recruitment platform is seeking a M/L Compiler Engineer to leverage advanced machine learning knowledge in developing innovative software and hardware solutions. The role involves collaborating with cross-functional teams to enhance machine learning applications, develop optimized software, and oversee experiments for model evaluation. Ideal candidates hold a relevant degree and have extensive experience in machine learning frameworks and embedded systems. This position offers flexible work hours and remote work opportunities.

Benefits

Flexible work hours
Opportunity to work remotely
Engagement in cutting-edge technology projects
Personal and professional growth opportunities
Inclusive team environment

Qualifications

  • Bachelor's or Master's degree in a relevant field.
  • 2+ years in Hardware or Software Engineering.
  • 5+ years with Machine Learning frameworks like Tensor Flow or PyTorch.
  • 5+ years in embedded system development.
  • Proficiency in Python and C++.
  • Experience with statistics in practical settings.

Responsibilities

  • Enhance training or runtime frameworks with Machine Learning.
  • Develop co-designed hardware and software solutions.
  • Enable AI models on optimized hardware.
  • Integrate machine learning into innovative products.
  • Oversee experiments for model training and evaluation.

Skills

Machine Learning
Computer Engineering
Embedded Systems
Python
C++

Education

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

Tools

Tensor Flow
PyTorch
Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a M/L Compiler Engineer. In this role, you will leverage advanced machine learning knowledge to develop innovative software and hardware solutions that enhance the efficiency of state-of-the-art machine learning applications. Your work will significantly contribute to the design and implementation of frameworks that allow for efficient model deployment across various technology verticals. Collaboration with cross-functional teams is essential, as you will be working to integrate machine learning with cutting-edge technology, thereby impacting both product quality and customer experiences.

Accountabilities
  • Leverage advanced Machine Learning knowledge to enhance training or runtime frameworks.
  • Model, architect, and develop advanced machine learning hardware co-designed with software.
  • Develop optimized software to enable AI models on hardware.
  • Apply machine learning techniques into products and AI solutions.
  • Develop novel machine learning solutions aligning with product roadmaps.
  • Oversee experiments to train and evaluate machine learning models.
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
  • 2+ years of experience in Hardware Engineering, Software Engineering, or related fields.
  • 5+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, PyTorch).
  • 5+ years in embedded system development and optimization.
  • Proficiency in programming languages suitable for machine learning (e.g., Python, C++).
  • Experience using statistics and probability in practical applications.
Benefits
  • Flexible work hours and the opportunity to work remotely.
  • Engagement in innovative and cutting-edge technology projects.
  • Opportunities for personal and professional growth.
  • Collaborative team environment with cross-functional interactions.
  • Diversity and inclusion commitment to creating an accessible workplace.
Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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