Othoz GmbH

Senior Machine Learning Engineer (m/f/d)

About us

We are a deep tech pioneer, providing AI based, sustainable investment solutions to our customers. Building on the best practices of quantitative asset management, we tap the potential of machine learning for sustainable capital market investments.

Our interdisciplinary team consists of experts in the fields of finance, computer science, software engineering, machine learning as well as mathematics, physics and neuroscience. Othoz is embedded in the global AI community, through a close exchange with leading universities and as a member of Inquire Europe.

To date Othoz is one of the most important drivers for AI-based analyses and decision-making processes in asset management. Othoz has been founded in 2017, is headquartered in Berlin, Germany and is backed by leading international business angels and VCs.

Your mission

As part of the early team you work directly with the founders and have the opportunity to significantly shape our codebase and infrastructure (Python, Docker, Kubernetes and 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 Skillset

  • 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


  • PhD degree in a related quantitative field
  • Strong publication track record in machine learning
  • Industry experience with modern Python based research / ML stacks, industry background in modern ML methods
  • Experience in helping an engineering / ML team grow


Why us?

  • An exciting and involving role with significant impact on shaping the future of AI based, sustainable investing
  • A company culture that is based on a spirit of cooperation and is characterized by a high level of quality awareness, openness and attention to detail in all areas of our work
  • Flexible working hours, 28 days paid leave and a competitive salary and equity package 
  • A modern loft office in Berlin, Prenzlauer Berg, healthy food (including coffee, juices, fruit, vegetables, sandwiches) and high-end hardware from Apple 
  • Internal workshops, unique learning possibilities across a wide range of domains as well as amazing team events