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Our client, an AI-driven company impacting the financial services industry, is hiring an Applied Machine Learning Researcher to join the team in New York. The successful candidate will play a key part in developing their agentic architecture and building intelligent, modular systems from the ground up.
Responsibilities-
Lead the company’s applied research initiatives focused on multi-agent systems.
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Track the latest developments in machine learning and surface ideas with potential impact across the organization.
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Design and run experiments to test and validate critical hypotheses.
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Develop fast, functional prototypes to explore and showcase new concepts.
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Help shape and evolve their long-term machine learning strategy.
Skillset-
At least four years of hands-on experience in machine learning research.
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Deep familiarity with agent-based systems, reinforcement learning, fine-tuning techniques and/or prompt engineering.
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Strong technical skills in coding and rapid prototyping.
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Previous experience at a high-growth, product-focused company is a bonus.
Benefits-
Salary: $150k – $300k DOE
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Equity.
Interested? Apply Today! -
