Research Engineer

📋 Description

• Lead the development and deployment of efficient, adaptive machine learning systems in real
• Design and implement data strategies and pipelines that enable production signals to feed back into
• Own the implementation of data products, taking ideas from research and experimentation through to
• Develop solutions to novel challenges involving data collection, interaction, evaluation, and
• Contribute to applied research initiatives while ensuring research concepts can translate into
• Work closely with technical and product stakeholders to shape research priorities and align

🎯 Requirements

• Bachelor’s degree in Computer Science, Machine Learning, or a related technical field.
• 3–4 years of professional experience in machine learning, applied research, or systems-level
• Demonstrated experience closing the loop between production signals and model retraining or
• Practical knowledge of online learning, reinforcement learning, efficient ML architectures, or
• Strong software engineering capabilities and professional experience with Python.
• Previous exposure to observability and infrastructure tools such as OpenTelemetry, Docker, or

🎁 Benefits

• Flexible remote work within a globally distributed team, with opportunities for in-person
• Annual travel stipend through the Adaption Passport, supporting travel to a country you have never
• Weekly lunch stipend for take-out or grocery delivery.
• Comprehensive medical benefits.
• Generous paid time off.
• Opportunity to work closely with a founding team on cutting-edge applied ML research and products.