AI Research Scientist (AI Engineering)

TL;DR

AI Research Scientist (AI Engineering): Conducting cutting-edge research in Generative AI and Machine Learning, focusing on building specialized Foundation Models and AI Agents for observability, site reliability engineering, and code repair. Focus on leveraging large-scale distributed training infrastructure to pre-train and post-train state-of-the-art models on diverse, real-world telemetry data.

Location: New York, New York, USA

Salary: $140,000—$400,000 USD

Company

hirify.global is a monitoring and security platform for cloud applications.

What you will do

• Conduct cutting-edge research in Generative AI and Machine Learning.
• Leverage large-scale distributed training infrastructure to pre-train and post-train state-of-the-art models on diverse, real-world telemetry data.
• Build simulated environments to facilitate on-policy agentic training and evaluation.
• Lead and contribute to research publications and present findings at top-tier conferences.
• Collaborate with cross-functional teams to integrate advanced AI capabilities into hirify.global’s product ecosystem.
• Foster a culture of scientific rigor, innovation, and practical impact.

Requirements

• You hold a PhD in Computer Science, Machine Learning, or a related field.
• You possess extensive experience in designing and implementing deep learning models and agents, and have a strong background in distributed training frameworks and ML libraries.
• You have a proven track record of conducting impactful research in the field with publications at top-tier venues.
• You're familiar with efficient training, post-training, fine-tuning, and inference techniques for large foundation models.
• You excel at explaining complex models and research findings to both technical and non-technical audiences.
• You have strong interest in open-science and open-source contributions, including establishing rigorous benchmarks and sharing research with the community.

Nice to have

• You have a demonstrated ability to bridge cutting-edge research and real-world product applications.
• You’re passionate about pushing the boundaries of AI while maintaining a strong focus on customer impact, scalability, and responsible deployment of new technologies
• You have experience writing production data pipelines and applications.
• You have hands-on experience with GPU programming and optimization, including experience in CUDA.

Culture & Benefits

• Build tools for software engineers, just like yourself, and use those tools to accelerate development.
• Influence product direction and impact the business.
• Work with skilled, knowledgeable, and kind teammates.
• Competitive global benefits.
• Continuous professional development.