Research Engineer / Machine Learning Engineer (AI)

TL;DR

Research Engineer / Machine Learning Engineer (AI): Designing and building state-of-the-art speech models and transforming AI research breakthroughs into tangible B2B applications, APIs, and ChatGPT AVM. Focus on implementing scalable data pipelines, optimizing models for performance and accuracy, and ensuring production-readiness for impactful AI solutions.

Location: Onsite in San Francisco, United States. This role is for US-based candidates.

Salary: $295,000–$445,000 + equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Design and build advanced machine learning models for real-world problems, bringing research from concept to implementation.
• Collaborate with cross-functional teams to understand business challenges and deliver AI-powered solutions.
• Implement scalable data pipelines, optimize models for performance and accuracy, and ensure production-readiness.
• Stay updated with machine learning and AI developments, participate in code reviews, and share knowledge.
• Monitor and maintain deployed models to ensure continuous value delivery.

Requirements

• Master's/PhD degree in Computer Science, Machine Learning, or a related field.
• 2+ years of professional engineering experience (excluding internships) in relevant roles.
• Demonstrated experience in deep learning and transformers models.
• Proficiency in frameworks like PyTorch or Tensorflow.
• Strong foundation in data structures, algorithms, and software engineering principles.
• Familiarity with methods of training and fine-tuning large language models.
• Ability to work collaboratively and move fast in a dynamic environment.

Nice to have

• Experience with speech models.

Culture & Benefits

• Work with bright minds in AI, driving innovation and shaping the future.
• Opportunity to make AI technology accessible and impactful.
• Dynamic team environment where ideas flow freely and creativity thrives.
• Commitment to diversity, equity, and inclusion.
• Focus on safely deploying AI systems to benefit all humanity.