Machine Learning Engineer - LLM Systems & Research - Remote

Overview

Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students.

In Short

• Seeking a talented Machine Learning Engineer specializing in LLM systems.
• Responsible for implementing and maintaining LLM-based system components.
• Opportunities to contribute to research initiatives in education.
• Work on production-grade LLM systems for research institutions.
• Contribute to scalable inference systems and optimize model performance.
• Build robust ML pipelines and support research initiatives.
• Emphasis on engineering excellence with research-driven innovation.
• Flexible schedule and remote work options available.
• Education and experience in relevant fields required.
• Technical skills in Python, Docker, and cloud platforms preferred.

Requirements

• Bachelor’s or Master’s degree in Computer Science or related field.
• 2-4 years of Machine Learning Engineering experience.
• Experience with LLM frameworks and deployment.
• Proficient in Python, experience with PyTorch/TensorFlow.
• Experience with Docker and cloud platforms.
• Knowledge in software engineering practices.
• Interest in model optimization and performance tuning.
• Exposure to research environments or educational AI applications.
• Experience with monitoring and performance optimization.
• Previous work in EdTech or academic settings preferred.

Benefits

• Choice of work equipment provided.
• English classes available for employees.
• Flexible work schedule offered.
• Newborn bonus for employees with children.
• Patent remuneration for innovative contributions.
• Paid leave policy in place.
• Remote work options in locations without offices.
• Hybrid work model for locations with offices.
• Diverse and inclusive workplace culture.
• Encouragement for underrepresented groups to apply.