Machine Learning Researcher positions focus on delivering results in their domain. This page aggregates open Machine Learning Researcher roles and what employers typically expect.
About Wintermute 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. 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 here. Working at Wintermute 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. 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.
Salary estimate
$111,000 – $150,000/yr
Provided by the employer.
Skills for this role
Machine LearningLeadership
Resume tips for Machine Learning Researcher applicants
Lead with measurable achievements relevant to Machine Learning Researcher (numbers, scope, impact).
Mirror the exact keywords from the Machine Learning Researcher posting so applicant tracking systems rank you higher.
List the specific tools and skills the role names (e.g. Pytorch, Machine Learning, LLM).
Keep it to one page for early-career, two pages for senior Machine Learning Researcher candidates.
Interview preparation
Prepare concrete STAR-format stories that show Machine Learning Researcher outcomes you drove.
Research the employer's product and recent news before the interview.
Be ready to explain how you'd approach a typical Machine Learning Researcher problem end to end.
Have thoughtful questions ready about the team, tools and success metrics.
About wintermute-trading
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