Machine Learning Lead

An amazing opportunity for those with a passion for AI and Blockchain to participate alongside industry leading and innovative forces from the automotive industry whose aim is to support the development of decentralized technologies and business models, tokenomics incentive systems as well as industry standards for information and data sharing. Catena-X sees a collaboration between organizations of all sizes, including Bosch, Siemens, Mercedes Benz, VW and BMW, as well as innovative startups and SMEs. Fetch.ai is proud to be part of this collaboration and we are seeking talented and passionate individuals to join our team in Germany.

We aim to be your Employer of Choice by providing you with the opportunity to work with a hugely talented team developing cutting edge technology combining AI and blockchain, that will influence and change the way we share data and information.

Fetch.ai Vision

Our vision is to connect digital and real-life economies to allow automation to change the way we use data. Fetch.ai brings expertise in multi-agent systems, artificial intelligence, advanced cryptography and decentralized machine learning to the Catena-X network. Our main focus will be to provide technologies for agent-based “smart” clients, secure and private sharing of information, and base-layer blockchain infrastructure. It will support next-generation data analytics through Fetch.ai CoLearn network, a decentralized information-sharing system that is deployed on blockchains and aggregates learning from multiple stakeholders.

The role:

Fetch.ai is building software to deliver multi-stakeholder AI using the power of blockchain technology. As a lead machine learning scientist, you would have the opportunity to work at the intersection of these fascinating fields and shape the future of machine learning by allowing the sharing of information without compromising peoples’ privacy, security or sovereignty. This challenge involves a combination of game theory, differential privacy, machine learning, cryptography and distributed computing.

The role involves a combination of hands-on ML problem solving responsibilities, fundamental algorithm and protocol design. Our research scientists have the opportunity to publish in top conferences and work with our experienced engineers to deliver the cutting edge technologies of tomorrow. We are interested in speaking to machine learning professionals with deep technical knowledge of the subject who are already leading a team or ready to take this step in their career. Candidates with experience in any of the following fields including; MLOps, game theory, federated learning, differential privacy or cryptography are strongly encouraged to apply.

Location: Germany

Type: Full time or contract

Essential Skills and Experience:

• MSc/PhD or equivalent experience in computer science, physics, economics or other mathematical discipline.
• Experience in deep learning.
• Experience of modern ML frameworks such as PyTorch and Tensorflow.
• Knowledge of fundamentals of ML including probability theory and statistics.
• Strong Python programming skills.
• Data analysis and visualization skills with libraries such as Numpy, Pandas, Matplotlib and Jupyter.
• Agile software development

Desirable:

• Research experience in machine learning, or other relevant field
• Blockchain and smart contract development
• Full ML life-cycle, design, development, deployment, Ops, monitoring
• Systems programming languages such as Rust, Golang and C/C++.
• Experience with differential privacy and/or homomorphic encryption
• Industry knowledge in the healthcare, financial, automotive or insurance sectors.