Senior AI Engineer Lead
19 hours ago
**About Firsthand**
We are a leading-edge AI agent platform designed for publishers and brands. Our innovative platform allows us to protect, control, and deploy our data and content across direct conversational campaigns powered by custom AI agents, and distributed anywhere consumers seek information online.
Founded by digital advertising veterans and funded by AI pioneers, we are dedicated to building the data and agent infrastructure that will power consumer interactions in the AI era.
**Job Description**
We are seeking a seasoned Senior AI Engineer to lead the application of our product's latest LLM/AI technology.
As a critical member of our team, you'll be responsible for pioneering experimenting, developing, and deploying cutting-edge machine learning and large language models for production systems.
**Key Responsibilities**
- Oversee the full life-cycle of ML systems, ensuring continuous improvement and enhancement of machine learning models.
- Stay up-to-date with the latest advancements in machine learning and apply them to boost the capabilities of our systems.
**Requirements**
- Minimum 5 years of professional experience in Machine Learning.
- Profound understanding of software engineering principles and proficiency in Python, ML frameworks, ML experiments, and MLOps tools.
- Deep knowledge and hands-on experience with machine learning systems in production, specifically in NLP/LLM, including model fine-tuning and reward learning.
- Excellent analytical and problem-solving skills, combined with meticulous attention to detail.
- Familiarity with prominent cloud platforms (AWS, GCP).
- Outstanding communication and collaboration abilities.
- Motivated and self-driven, with a strong ability to take ownership and drive projects to completion.
**Salary and Benefits**
We offer competitive compensation and equity, to be discussed during the interview process.
Estimated Annual Salary: $160,000 - $200,000, depending on location and experience.
Note: Compensation may vary based on factors such as location, experience, and performance.
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