Sr. Machine Learning Engineer - Machine Learning

Location: Remote or Watertown, Massachusetts, United States

Base salary: $178,662.29–$213,680.10 per year, plus annual performance-based bonus and stock options.

Company

hirify.global develops AI-driven genetic medicine and high-performance genetic technologies by combining molecular biology, protein engineering, software development, data science, and machine learning.

What you will do

• Build modular, generalizable, and portable ML training systems for protein design models.
• Scale and improve the reliability and performance of distributed training and inference infrastructure.
• Optimize ML workloads through GPU profiling, resource analysis, custom kernels, and accelerated computing frameworks.
• Develop agentic AI workflows that accelerate scientific research while maintaining safety and reliability.
• Collaborate with AI scientists, protein engineers, and ML engineers to turn research prototypes into reusable tools and systems.
• Contribute to technical direction through system design, planning, documentation, rollout, and maintenance.

Requirements

• 5+ years of professional experience building software for machine learning.
• Strong software engineering fundamentals, including object-oriented design, testing, version control, dependency management, and API design.
• Hands-on experience with Docker and Kubernetes for containerized remote environments.
• Experience with large-scale distributed training or inference using Ray or a similar framework.
• Experience with ML performance engineering, including bottleneck identification, profiling, resource analysis, and custom kernel development.
• Ability to own technically complex systems and contribute to technical direction through design reviews, cross-team planning, and documentation.

Nice to have

• Experience in ML research, scientific computing, internal platforms, developer tools, or MLOps.
• GPU programming experience with CUDA, Triton, or similar technologies.
• Experience using agentic AI and modern AI tools for software development.
• Exposure to biology, bioinformatics, structural biology, or protein modeling.

Culture & Benefits

• High-trust, mission-driven environment focused on AI-driven genetic medicine.
• Competitive compensation with equity, annual performance-based bonus, and stock options.
• Comprehensive medical, dental, and vision coverage.
• 401(k) plan, flexible paid time off, and holidays.
• On-campus gym membership, onsite lunch, commuter support, and a company-provided laptop.

Hiring process

• Formal interview process required before an employment offer.