Staff Machine Learning Engineer - Remote

Overview

As a Staff Machine Learning Engineer, you will be a key contributor to our research team, supporting the technical lead in driving technical excellence and innovation. You will be responsible for designing, implementing and optimising novel machine learning models and algorithms to perform challenging and diverse tasks.

In Short

• Design, develop and implement novel machine learning techniques to solve diverse tasks in game development.
• Perform data analysis and cleaning to uncover insights and patterns.
• Contribute to the authorship of team research papers, presenting at relevant conferences.
• Work with other SIE teams to deploy machine learning models in production environments.
• Present findings to stakeholders, communicating complex technical issues.
• Stay current with the latest machine learning and artificial intelligence research.
• Quickly prototype new ideas and technologies to evaluate relevance and performance.
• Mentor junior members of the team, providing guidance and sharing best practices.
• Contribute to maintaining a culture of innovation, curiosity, and continuous learning.
• Help foster an inclusive and diverse work environment.

Requirements

• Master’s degree in computer science, electrical engineering, robotics, statistics, mathematics, or a related field. PhD is a plus.
• 6+ years in machine learning with published research papers.
• Expertise in programming languages and frameworks relevant to machine learning, including Python, NumPy and Pytorch.
• Strong understanding of data analysis, mining and preprocessing.
• Excellent problem-solving, communication and inter-personal skills.
• An interest in gaming and exploring the intersection of machine learning and game technology is desirable.

Benefits

• Discretionary bonus opportunity.
• Hybrid Working (within Flexmodes).
• Private Medical Insurance.
• Dental Scheme.
• 25 days holiday per year.
• On Site Gym.
• Subsidised Café.
• Free soft drinks.
• On site bar.
• Access to cycle garage and showers.