🌟 Machine Learning Engineer (Mid-Level) - Remote

📍 Gaming Start-Up | Full-Time | Anywhere

Are you excited by the intersection of AI and gaming? Do you want to help shape the future of interactive entertainment at a fast-moving start-up? We're looking for a Mid-Level Machine Learning Engineer to join our fully remote team and help us build intelligent, player-centric systems that power the next generation of gaming experiences.

🎮 About Them

They are an ambitious gaming start-up building innovative, data-driven gameplay systems. Our mission is to create games that feel alive-powered by adaptive AI, real-time insights, and scalable cloud technologies. As a small and collaborative team, every voice matters and every engineer has a direct impact on the product.

🧠 What You'll Do

As a Machine Learning Engineer, you will:

• Design, build, and deploy ML models for gameplay, personalization, prediction, and player behavior analysis
• Collaborate with game designers, backend engineers, and data teams to integrate ML into live game systems
• Develop scalable ML pipelines using Google Cloud Platform (GCP) services (Vertex AI, BigQuery, Cloud Run, etc.)
• Work with real-time and batch data to support analytics and in-game decision systems
• Maintain and improve MLOps workflows for training, evaluation, deployment, and monitoring
• Contribute to a culture of experimentation, rapid iteration, and creative problem-solving

🛠️ What They're Looking For

Required:

• 2-4+ years of experience in Machine Learning or Data Science engineering roles
• Strong programming skills in Python
• Hands-on experience with GCP (Vertex AI, BigQuery, Dataflow, Cloud Storage, etc.)
• Experience building and deploying ML models in production
• Familiarity with modern ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Understanding of data processing, pipelines, and MLOps best practices
• Ability to work independently in a remote environment and collaborate asynchronously

Nice to Have:

• Experience working in gaming or interactive media
• Knowledge of reinforcement learning, player modeling, or recommendation systems
• Experience with real-time systems or streaming data (e.g., Pub/Sub, Kafka)
• Passion for games and gameplay design#

🚀 Why You'll Love Working With them

• Fully remote team - work from anywhere
• A chance to be an early team member in a rapidly growing gaming start-up
• High ownership, high impact, and opportunities to shape the direction of ML in our products
• Flexible hours, supportive culture, and a team that values creativity and innovation
• Competitive salary + equity package