Senior Machine Learning Engineer

Supercell; Helsinki; On-site; EUR 65,000 - 85,000; Full time

Benefits offered by this job

Relocation support

Collaborative work environment

Job summary

Supercell is seeking a Senior Machine Learning Engineer to build impactful machine learning systems in Helsinki. You will develop scalable ML platforms that enhance player experiences and empower game teams through automation.

This role involves collaboration with other experts and requires deep experience in ML, strong software skills, and a passion for games. Support for relocation is offered if necessary.

Qualifications

• Deep expertise in Machine Learning with a track record of production.
• Experience deploying ML models at scale in low-latency environments.
• Strong ability to design and maintain robust ML pipelines.

Responsibilities

• Design and build real-time ML systems.
• Develop ML models that personalize player experiences.
• Operate and optimize production ML systems.

Skills

Machine Learning expertise

Software engineering

Data engineering

Problem-solving

Communication skills

Collaboration

Tools

Python

Databricks

AWS

Docker

Kubernetes

Job description

We’re looking for a Senior Machine Learning Engineer who can build large-scale systems and turn them into impactful solutions for players and the business.

Supercell is rapidly scaling its machine learning capabilities. We are building a scalable ML platform and bringing personalized player experiences into production at massive scale. Our ambition is to empower game teams to deliver billions of automated, data‑driven decisions across the full player journey every day.

You’ll join a small, high‑impact team of Data Science and Machine Learning experts, working closely with game teams, LiveOps, Data, and Analytics. You’ll play a key role in shaping Supercell’s ML platform, delivering impactful solutions, and enabling teams to build and scale ML‑driven features.

Your work will span the full ML lifecycle from business problem formulation and data collection to modeling and deployment real‑time decisioning, helping turn ideas into production systems that directly impact players. You’ll set strong engineering practices, share your knowledge, and help shape how we use ML to optimize player experiences.

What You’ll Be Doing

• Understand our games, players, and business goals to identify where ML can deliver meaningful impact, and build strong relationships across teams.
• Design and build end‑to‑end, real‑time and event‑driven ML systems from data to low‑latency serving, enabling context‑aware player experiences.
• Develop and deploy ML models and decision systems that shape personalized player experiences across the full player journey.
• Build scalable ML systems and reusable platform capabilities, enabling game teams to adopt ML through tools, pipelines, and APIs.
• Balance speed, robustness, experimentation, and standardization while continuously reducing time from idea to experiment to production.
• Operate, monitor, and optimize production ML systems to ensure world‑class performance, reliability, and scalability.
• Champion modern MLOps practices through mentorship, code and design reviews, documentation, and by guiding game teams in adopting ML workflows.
• Shape ML strategy and ensure it drives real player and business impact.
• Continue to level up Supercell AI maturity through knowledge sharing and adoption of new tools.

What You Have

• Deep expertise in Machine Learning with a strong track record of taking ML systems into production.
• Hands‑on experience deploying ML models at large scale, operating in high‑traffic, low‑latency production environments.
• Strong software, data, and ML engineering skills, with the ability to design, build, and maintain robust end‑to‑end ML pipelines.
• Experience leveraging modern AI‑assisted development tools to improve productivity and accelerate iteration speed.
• Proven ability to collaborate with other developers and AI agents, as well as independently drive ML projects from idea to production.
• Excellent problem‑solving ability, with strong analytical thinking and attention to detail.
• Clear and effective communication skills, able to translate complex technical concepts for both technical and non‑technical audiences.
• Positive, proactive, and “can‑do” mindset, with a willingness to dive deep and take ownership.
• Passion for games. Previous industry experience is a strong plus.

What You’ll Be Using

The following list is not intended as a strict set of requirements, but rather as examples of relevant technologies and areas of experience.

• Data & Processing: Python, Databricks, SQL, Spark, Redis, Tecton
• Cloud: AWS, GCP
• ML Frameworks: PyTorch, Ray, TensorFlow, ONNX
• ML Training: Databricks Spark and Ray train + data
• ML Serving: Ray serve, FastAPI, Triton inference
• Infrastructure & Deployment: Docker, Kubernetes, Terraform, Kubeflow, GitHub Actions
• Monitoring and tracking: Grafana, Prometheus, Weights and Biases, MLflow
• AI development tools: Claude Code, Codex

Where You’ll Be

This role is based in our Helsinki office. We value a collaborative work environment and genuine human interactions. You will work very closely with our other Helsinki‑based teams.

Relocation Support

If you are not local, our relocation team can help you move to Helsinki. We provide comprehensive support not only for you, but also for your family.