Applied Research Scientist

New York

Firsthand

Protect, control, & deploy your content across conversational campaigns that are powered by custom AI agents, and distributed anywhere your consumers are.

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About Firsthand

Firsthand is the AI agent platform purpose-built for publishers and brands. The company’s innovative platform allows publishers and brands to protect, control, and deploy their data and content across direct conversational campaigns that are powered by custom AI agents, and distributed anywhere a consumer is seeking information online.

Founded by digital advertising veterans and funded by AI pioneers, Firsthand is focused on building the data and agent infrastructure that will power consumer interactions in the AI era.

Firsthand is headquartered in NYC. Most team members come to the office to work together three days a week.

About the Role

We are seeking an innovative Applied Research Scientist to build and develop our product's latest LLM/AI technology. You will work closely with a team of engineers, actively participating in the research, development, and deployment of cutting-edge machine learning and large language models (LLMs). You should be hands-on and thrive in a startup environment with a high degree of freedom and ambiguity.

Key Responsibilities:

  • Work with a team of engineers in experimenting, developing, and deploying advanced machine learning solutions and LLMs for our production systems.

  • Drive the full life-cycle of ML systems development from conception through deployment and beyond, ensuring these systems' continuous optimization and enhancement.

  • Stay at the forefront of AI technology by exploring and implementing the latest advancements in machine learning to elevate our systems' capabilities.

Who You Are:

  • Over 5 years of professional experience in the machine learning field, with a strong emphasis on leadership and team management.

  • Deep understanding of software engineering principles and proficiency in Python, ML frameworks, ML experiments, and MLOps tools. Deep learning and reinforcement learning experiences are strongly preferred.

  • Exceptional communication and collaboration abilities.

  • Extensive experience with machine learning systems in production, particularly within the NLP/LLM domain.

  • Strong analytical and problem-solving skills and an unwavering attention to detail.

  • Self-driven and highly motivated to take ownership of projects and drive them to completion.

  • Advertising or marketing-related experience is a strong plus.

How to Apply

If you are ready to embark on an exhilarating journey at the forefront of AI, seize this incredible opportunity and apply here. We eagerly anticipate hearing from you!

Note: Compensation and equity will be market-competitive for seed-stage funded startups and will be discussed during the interview process.

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Tags: Deep Learning Engineering LLMs Machine Learning MLOps NLP Python Reinforcement Learning Research

Perks/benefits: Career development Competitive pay Equity / stock options Startup environment

Region: North America
Country: United States

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