Senior AI/Machine Learning Specialist

Location: Onsite at hirify.global Center in Maplewood, Minnesota, United States. Travel may include up to 5%.

Salary: $188,251–$230,084 annually, including base pay and variable incentive pay if eligible.

Company

hirify.global develops products and technologies across global markets and provides an environment for collaboration among research and engineering teams.

What you will do

• Architect and implement scalable runtime components for real-time inference, near-real-time reasoning, simulations, cloud services, on-premises deployments, and embedded or edge environments.
• Make technical decisions involving concurrency, parallel execution, memory management, inter-process communication, and distributed processing.
• Translate Python research algorithms into reliable, maintainable, high-performance Rust production components.
• Establish behavioral-equivalence, determinism, reproducibility, regression, simulation, performance, and reliability testing.
• Profile CPU, memory, latency, throughput, and scaling behavior while implementing measurable performance improvements.
• Build interfaces, observability, CI/CD, containerization, deployment, and operational capabilities, while mentoring early-career developers.

Requirements

• Bachelor’s degree or higher in computer science, computer engineering, applied mathematics, physics, cognitive science, computational neuroscience, or a related field; alternatively, a high school diploma/GED with five years of relevant experience.
• At least 10 years of professional software-development experience building production systems.
• At least five years of experience productionizing research, scientific, simulation, compiler, high-performance computing, or algorithm-intensive software.
• Experience with Rust, or substantial C++ experience at scale with the ability and commitment to develop in Rust.
• Strong Python skills and experience translating Python algorithms or prototypes into production software.
• Must be legally authorized to work in the United States without employment-visa sponsorship.

Nice to have

• Experience with symbolic AI, neural-symbolic systems, cognitive architectures, causal or analogical reasoning, reinforcement learning, constraint solving, or simulation systems.
• Experience designing concurrent, parallel, performance-sensitive, or distributed systems and automated correctness and performance benchmarks.
• Experience with Agile Scrum methodologies and collaboration with research teams.

Culture & Benefits

• Hands-on senior individual-contributor role with technical leadership across research and engineering.
• Low-ego, collaborative working style focused on sound technical judgment and intellectual-property protection.
• Potential relocation benefits.
• Benefits may include medical, dental and vision coverage, health savings and flexible spending accounts, disability and life insurance, paid absences, and retirement benefits.