Software Engineer (m/f/d)

Description

The company builds Argos, a cloud-native platform for real-time, low-latency computer vision processing hosted on AWS.

You will join the engineering team in the company's AI unit, working alongside data scientists, developers and DevOps engineers on infrastructure for computer vision, machine learning and data analytics.

The team is growing and includes developers, data scientists and data engineers.

Responsibilities

• Research, design, build, deploy and run day-to-day solutions for real-time, low-latency computer vision processing on AWS.
• Support computer vision researchers by integrating their models and turning them into production-ready products.
• Help evolve the technology stack and technical architecture behind computer vision and AI workloads.

Requirements

• You have hands-on experience writing production-grade Python.
• You have hands-on experience with containers and container orchestration tools such as Docker and Kubernetes.
• You are comfortable with modern development practices such as agile, git, CI/CD and code review.
• You are comfortable using AI coding tools and agentic technologies.
• Bonus: experience with Golang and/or Java.
• Bonus: experience productizing computer vision or machine learning models.
• Bonus: understanding of machine learning and deep learning concepts and hands-on work with deep learning frameworks such as PyTorch, Keras, TensorFlow or MXNet.
• Bonus: DevOps experience, including designing, setting up and administering infrastructure, and familiarity with cloud services such as AWS or Azure.
• A Bachelor of Science in Computer Science, Engineering, Mathematics, Statistics or a related field, or equivalent experience.
• Fluent written and spoken English.
• You are autonomous, rigorous and creative, and you work well in a team.

Conditions

The role is fully on-site, with team members in the office five days a week. Exemptions may apply depending on location; your local contact can advise.

Engineering offices are in Europe, Asia and the US, and colleagues work from around the world.

Working hours are flexible.

The hiring process has four steps: a screening call with the Talent Acquisition Partner, a technical interview with the Hiring Manager, a final interview with the local team including an office tour, and then feedback and, if successful, an offer.

The company is the world's leading sports technology company, working at the intersection of sports, media and betting, and serving more than 1,700 sports federations, media outlets, betting operators and consumer platforms in 120 countries.

Benefits

• Social events and team-building activities.
• A defined personal and professional development plan that helps you shape your workday and career.
• Career framework options within a fast-growing company.
• Community groups, including Women in Tech and Pride, open to all.
• A global Employee Assistance Programme.
• Access to the Calm and Reulay apps for stress, focus, sleep and resilience.
• Online training videos.