Harnham is seeking a Mid-Level Machine Learning Engineer for a fully remote, full-time position. The role involves designing, building, and deploying ML models for gameplay and player behavior analysis within a fast-paced gaming startup. You will leverage Google Cloud Platform and collaborate with cross-functional teams to create intelligent, player-centric gaming experiences.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
🌟 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