We are looking for a passionate and experienced Machine Learning Research Engineer with a deep curiosity for understanding systems and a relentless drive to innovate. This role is perfect for a self-starter who thrives on tackling complex problems, exploring new ideas, and pushing boundaries. We want someone who doesnt just solve given tasks but proactively envisions and develops new applications, challenges the status quo, and enhances models and methodologies to deliver cutting-edge solutions.
As a Machine Learning Engineer in our algo R&D, you will:
Conduct cutting-edge research to develop new functionalities for our models, expanding core deep reinforcement learning technology.
Advance the development of AutoML solutions to streamline and enhance machine learning workflows.
Drive the productization of your research, transforming innovative concepts into impactful, production-ready solutions.
Design and implement solutions with a focus on scalability, efficient runtime performance, and seamless deployment in production environments.
Requirements: MSc in machine learning or related area
Education in machine learning at the level of advanced academic courses
At least 5 years of hands-on machine learning experience
Practical experience with deep learning
Self-reliant, proactive, with strong motivation and an inquisitive mind
Advantage:
Experience with deep learning on time series data (Transformers / recurrent models)
Experience with training neural networks in cloud environments (GCP/AWS) and distributed systems
Experience/education in signal processing/ control theory/ reinforcement learning
Academic research experience
Experience in leading projects and mentoring
This position is open to all candidates.