Job Details
Adaption is hiring an Engineer, ML Systems to design and deploy efficient machine learning systems for real-world applications. The role focuses on building AI systems that can adapt to changing data and interactions.
The engineer will work between applied research and product development, taking ownership of data products and solving technical challenges related to data, interaction and AI system evaluation.
Key Responsibilities:
Design and deploy efficient ML systems for production.
Build and maintain data products and ML solutions.
Work on challenges involving data, interaction and evaluation.
Develop adaptable data strategies for AI systems.
Collaborate with the founding team on research and product development.
Apply strong software engineering practices to ML projects.
Requirements:
Bachelor’s degree in Computer Science, Machine Learning or a related field.
3–4 years of experience in ML, applied research or AI systems engineering.
Strong software engineering and Python skills.
Familiarity with tools such as OpenTelemetry, Docker or Grafana.
Knowledge of online learning, reinforcement learning or efficient ML architectures.
Strong communication and ownership mindset.