Member of Technical Staff, Senior/Staff MLE (Applied AI)

TL;DR

Member of Technical Staff, Senior/Staff MLE (Applied AI): Leading the design and delivery of custom LLM solutions for enterprise customers with an accent on pushing LLMs to their limits and training/customizing frontier models. Focus on translating ambiguous business problems into ML solutions, developing SOTA modeling techniques, and providing technical leadership.

Location: Remote from San Francisco, New York, Toronto, or Montreal. Offices are also located in London and Paris.

Company

hirify.global is training and deploying frontier models for developers and enterprises building AI systems to power magical experiences like content generation, semantic search, RAG, and agents.

What you will do

• Lead the design and delivery of custom LLM solutions for enterprise customers.
• Translate ambiguous business problems into well-framed ML problems with clear success criteria and evaluation methodologies.
• Build custom models using hirify.global’s foundation model stack, CPT recipes, post-training pipelines, and data assets.
• Develop SOTA modeling techniques that directly enhance model performance for customer use-cases.
• Work closely with enterprise customers to identify high-value opportunities where LLMs can unlock transformative impact.
• Mentor engineers across distributed teams and raise engineering and modeling quality.

Requirements

• Strong ML fundamentals and the ability to frame complex, ambiguous problems as ML solutions.
• Fluency with Python and core ML/LLM frameworks.
• Experience working with large-scale datasets and distributed training or inference pipelines.
• Understanding of LLM architectures, tuning techniques, and evaluation methodologies.
• Demonstrated ability to meaningfully shape LLM performance.
• A track record of technical leadership at a team level and experience engaging directly with customers or stakeholders.

Culture & Benefits

• An open and inclusive culture and work environment.
• Work closely with a team on the cutting edge of AI research.
• Full health and dental benefits, including a separate budget for mental health.
• 100% Parental Leave top-up for up to 6 months.
• Personal enrichment benefits towards arts and culture, fitness, and workspace improvement.
• 6 weeks of vacation (30 working days).