Machine Learning Researcher at Wintermute Trading

<div><b style="font-size: 13.5pt;">About Wintermute</b><span style="font-size: 10.5pt;">&nbsp;</span></div><div><br></div><div><span style="font-size: 16px;">Wintermute is a technology unicorn and one of the largest algorithmic trading companies, specialising in digital assets. We provide liquidity across most cryptocurrency exchanges and trading platforms, a broad range of OTC trading solutions as well as supporting high profile blockchain projects and traditional financial institutions moving into crypto. Wintermute also has a Wintermute Ventures arm that invests in early stage DeFi projects.</span></div><div><br></div><div><span style="font-size: 16px;">Wintermute was founded in 2017 and has successfully navigated industry cycles. Culturally, we combine the best of the two worlds: the technology standards of high-frequency trading firms in traditional markets and the innovative and entrepreneurial culture of technology startups. At Wintermute, we believe in the innovative potential of blockchain, the fundamental innovations, we have a long-term view on the digital asset market and are taking a leadership position in building an innovative and compliant market. You can read more&nbsp;</span><a rel="noopener noreferrer" class="postings-link" style="font-size: 16px;" href="https://wintermute.com/about">here.</a></div><div><br></div><div><b style="font-size: 13.5pt;">Working at Wintermute</b></div><div><br></div><div><span style="font-size: 16px;">You are an experienced machine learning engineer or researcher with a strong track record in applied deep learning, ideally in domains involving high-frequency or large-scale time-series data. </span></div><div><br></div><div><span style="font-size: 16px;">You will focus on developing alpha signal generation pipelines from data ingestion and feature engineering to model training and deployment, in collaboration with our trading and infrastructure teams.</span></div>