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Posted 1 mo agoFirst seen 1 mo ago
Senior Deep Learning Researcher
Posted by Pinely on 24 September 2026, 39 days ago. Still on their Ashby board when we checked 25 min ago.
What the posting is about
Conduct original research in AI and ML. Develop and experiment with modern deep learning architectures. Analyze large, unstructured datasets. Explore new methodologies and technologies.
Read out of the posting
Levelsenior
Experience asked5+ years
EmploymentFull time
LocationAmsterdam
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-24
Found viaashby, direct from their system
We saw it 6 days after it went up.
The posting, as the company wrote it
We are seeking a highly motivated and skilled Senior Deep Learning Researcher to join our team. As an individual contributor, you will work alongside world-class researchers in a fast-paced environment, advancing AI and machine learning research with direct applications to HFT and MFT.
Responsibilities
- Conduct original machine learning research to push the frontier of market data modeling;
- Develop and experiment with modern deep learning architectures and training techniques;
- Extract meaningful insights from large, unstructured, and noisy datasets;
- Continually explore new methodologies and technologies to enhance research outcomes.
Requirements
- Extensive research experience in ML, demonstrated through publications at top-tier venues, a strong track record of impactful research projects, or a PhD in a related field;
- Strong background in machine learning, probability, and statistics;
- Deep understanding and hands-on experience with modern DL architectures and training methodologies, with particular expertise in Transformers and their variants.;
- Ability to work effectively with AI coding and research agents
What we offer
- High base salary, social benefits, and generous bonus structure;
- Access to cutting-edge compute, infrastructure, and engineering expertise to rapidly test and deploy ambitious ideas;
- Ownership of initiatives that directly solve business problems;
- Flexible working style and working schedule;
- High-autonomy environment with minimal bureaucracy and micromanagement;
- Tuition reimbursement, conference and training sponsorship.
Copied from Pinely’s own board, not rewritten.
Also open at Pinely
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