Staff Machine Learning Engineer (AI)

TL;DR

Staff Machine Learning Engineer (AI): Driving the next generation of hirify.global’s ML ecosystem across recommendations, search, messaging, and foundational AI systems with an accent on technical strategy and product direction across multiple ML domains. Focus on building next-gen AI-powered search and recommendation experiences, including LLM-integrated systems.

Location: Remote - United States

Salary: $230,000 - $322,000 USD

Company

hirify.global is a community of communities built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.

What you will do

• Architect, build, and deploy large-scale ML systems powering recommendations, search, messaging, and content understanding.
• Lead projects from ideation to production, including modeling and experimentation.
• Design and improve recommender systems and ranking models across surfaces, optimizing for user engagement and long-term value.
• Build next-gen AI-powered search and recommendation experiences, including LLM-integrated systems.
• Develop pipelines that help users find high-quality answers and content across hirify.global’s corpus.
• Mentor engineers and establish best practices for ML development, experimentation, and responsible AI.

Requirements

• 6+ years of experience building, deploying, and operating machine learning systems in production.
• Strong programming skills in Python, Go, or similar languages, with solid software engineering fundamentals.
• Strong grasp of ML algorithms, from statistical learning to DL architectures.
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow).
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure.
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions.

Nice to have

• Subject matter expertise in recommender systems, search systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems, content understanding etc.
• Familiarity with distributed systems and large-scale data processing frameworks.
• Experience working with real-time systems and low-latency production environments.
• Experience with LLM/Gen AI techniques, including LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale.
• Advanced degree in Computer Science, Machine Learning, or related quantitative field.

Culture & Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs.
• 401k with Employer Match.
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support.
• Flexible Vacation & Paid Volunteer Time Off.
• Generous Paid Parental Leave.