We are looking for an experienced full-stack machine learning engineer to join our team. As part of the early team you work directly with the founders and have the opportunity to significantly shape our codebase and infrastructure (Python, TensorFlow, Docker, continuous deployment to Google Cloud Platform). At the core of your position is designing, implementing, training and evaluating state-of-the-art machine learning algorithms that accurately model financial markets. Your position also includes designing large-scale data pipelines, improving our stock market trading simulation, implementing innovative portfolio optimization concepts and everything else that pops up along the early days of a startup. Like every other team member you enjoy taking full responsibility for transforming ideas into a rock-solid, well-engineered production system. Although a background in finance is not required you are eager to quickly learn essential concepts.
Your strengths: essentials
- Degree in computer science, machine learning, computer vision or related fields
- Experience in working with modern machine learning frameworks, large-scale data processing systems and cloud infrastructure
- Demonstrated ability to engineer reliable and maintainable software systems
- You have written large amounts of quality code
- Demonstrated persistence when tackling hard engineering and machine learning challenges that are not easily solvable
- Quick learner, excited to continuously learn new skills and technologies
- Fluent in spoken and written English, good communication skills
Your strengths: bonus
- PhD degree in related quantitative field
- Strong publication track record in machine learning
- Industry experience with a modern development/research stack based on Python, TensorFlow, Docker and Google Cloud Platform
- Strong industry background in deep learning
- Experience in helping an engineering / ML team grow