Senior/Staff Machine Learning Engineer

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're looking for an "AI Specialist" engineer to lead the application of our product's latest LLM/AI technology.

As an AI/ML engineer, you'll be responsible for:

  • Pioneering experimenting, developing, and deploying cutting-edge machine learning and large language models for production systems.

  • Responsible for the full life-cycle of ML systems. Monitor and evaluate the performance of machine learning models, constantly proposing and implementing enhancements as required.

  • Staying ahead of the game by embracing the latest breakthroughs in machine learning and proactively applying them to amplify the prowess of our systems.

Who You Are

  • 5+ years of professional work experience in the Machine Learning field.

  • Solid comprehension of software engineering fundamentals. Proficiency in Python, ML frameworks, ML experiments, and MLOps tools.

  • In-depth knowledge and experience with machine learning systems in production, particularly in the NLP/LLM field. Used LLM beyond hobbies. Had experiences in model fine-tuning and/or reward learning.

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

  • Hands-on experience with data wrangling using SQL and other tools.

  • Familiarity with major cloud platforms (e.g., AWS, GCP).

  • Exceptional communication and collaboration abilities.

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

  • Thrive in a startup environment with a high degree of freedom and ambiguity.

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: AWS Engineering GCP LLMs Machine Learning ML models MLOps NLP Python SQL

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

Region: North America
Country: United States

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