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ML Research Engineer
2 weeks ago
About the Position
My client is an innovative startup creating cutting-edge conversational commerce experiences. Unlike traditional shopping methods that require app downloads or website sign-ups, our platform enables customers to engage and transact directly within the chat thread. Joining our team means becoming part of a VC-backed series A startup on a fast growth trajectory, collaborating with a world-class team, and seizing opportunities for rapid career advancement.
About the Team:
Their founding team comes from high level leadership roles at companies like Meta, Google, Uber and various successful startups.
We are looking for a seasoned AI research engineer to join our team and develop a state-of-the-art sales assistant. You will collaborate with a talented group of research, ML, data, and software engineers to deliver innovative agentic systems.
Responsibilities
Utilize cutting-edge research to enhance our AI sales assistant.
Propose and develop new experimental ideas.
Lead efforts in dataset collection and generation.
Optimize models and inference processes.
Work with ML and Data engineers on distributed training scripts.
Requirements
Minimum of 3 years’ experience with production AI systems.
At least one publication as the first author.
Strong knowledge of LLMs, including the ability to build GPT-1 in NumPy and manually perform backpropagation for transformer blocks.
Solid understanding of ML fundamentals.
Experience with distributed training.
Some experience with production inference.
Proficiency in PyTorch.
Preferred Qualifications
Experience building agentic systems with task-specific models.
Experience iterating AI products based on customer feedback.
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