Senior Applied Scientist (AI)

TL;DR

Senior Applied Scientist (AI): Designing and prototyping intelligent systems for AI-native observability, with an accent on cost-aware agent orchestration, adaptive query execution, and self-optimizing system components. Focus on applying reinforcement learning, search, or hybrid approaches to infrastructure-level decision-making and integrating formal models with LLM outputs.

Location: Remote from California, Colorado, Massachusetts, New York, or Washington, USA

Salary: $187,000–$240,000 USD

Company

hirify.global is a global SaaS business that delivers growth and profitability by breaking down silos and solving complexity in the cloud age through infrastructure monitoring and digital transformation for various industries.

What you will do

• Design and prototype intelligent systems for AI-native observability, including agent orchestration and adaptive query execution.
• Apply reinforcement learning, search, or hybrid approaches to infrastructure-level decision-making like autoscaling and scheduling.
• Collaborate with AI researchers and platform engineers on experimentation loops and verifiers for LLM outputs.
• Explore emerging paradigms such as AI compilers and runtime-aware prompt engineering.
• Help define the direction of BitsEvolve, hirify.global’s optimization agent.
• Partner with product teams and stakeholders to translate scientific advances into measurable improvements.

Requirements

• You have 8+ years of experience in systems engineering, database internals, or infrastructure research, including hands-on experience in a production environment.
• You have a strong software engineering foundation, ideally in C++, Rust, Go, or Python, and are comfortable writing performant, maintainable code.
• You have deep expertise in at least one of the following areas: query optimization, data center scheduling, compiler design, reinforcement learning, or distributed systems design.
• You have experience applying search, planning, or learning techniques to solve real-world optimization problems.
• You are excited by systems that learn, adapt, and improve over time using feedback from runtime metrics and human-defined objectives.
• You are hypothesis-driven and enjoy designing experiments and evaluation loops through simulations, benchmarks, or live systems.

Culture & Benefits

• Build tools for software engineers and use them to accelerate development.
• Have significant influence on product direction and business impact.
• Work with skilled, knowledgeable, and collaborative teammates.
• Competitive global benefits package, including healthcare, dental, parental planning, mental health benefits, and a 401(k) plan.
• Paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
• Hybrid workplace model supporting work-life harmony.