Ai Scientist (Ai)

TL;DR

Ai Scientist (AI): Guiding incubated ventures and operating portfolio companies, focusing on translating ideas into prototypes and production systems. Focus on AI diligence, evaluating feasibility, data readiness, and risk, and mentoring founders and engineers on model design, best practices, MLOps, and AI infrastructure.

Location: Onsite in New York City

Salary: $180,000 - $220,000 / year

Company

hirify.global is a Cambridge-based venture studio fund transforming the future of AI-First startups.

What you will do

• Act as the founding AI scientist and technical leader for hirify.global’ NYC hub, guiding both incubated ventures and operating portfolio companies.
• Work hands-on with AI and engineering teams to assess infrastructure, build models, optimize pipelines, and architect scalable systems.
• Partner with the 25+ ventures created in the studio on an annual basis, helping translate ideas into prototypes and production systems.
• Serve as the de facto “CTO” for the NYC studio, shaping internal AI direction, tooling, and partnerships.
• Lead AI diligence on new venture concepts, evaluating feasibility, data readiness, and risk.
• Mentor founders and engineers on model design, best practices, MLOps, and AI infrastructure.

Requirements

• 7+ years in AI/ML, research, or engineering roles, ideally with experience as a founding AI scientist, lead engineer, or early-stage CTO.
• Proven track record building AI-first startups or scaling early ventures; you have shipped ML models in production under real-world constraints.
• Deep technical experience with large models, MLOps tooling, distributed training, inference optimization, and cloud infrastructure.
• Strong product orientation; able to move from research to impact, balancing long-term vision with short-term delivery.
• Comfortable building under ambiguity and managing across multiple ventures simultaneously.
• Excellent communication skills; able to translate technical tradeoffs and decisions to non-technical stakeholders.

Culture & Benefits

• The opportunity to define the AI backbone of a venture studio at the intersection of research, product, and early-stage execution.
• Equity stake and total compensation aligned with high-impact, mission-driven roles.
• A “startup inside a studio” environment where you’ll wear many hats and your decisions shape the trajectory of multiple companies.
• Collaboration with top-tier technical and operational talent.
• A chance to contribute meaningfully to AI ventures focused on healthcare, climate tech, mobility, energy, and beyond.

Hiring process

• Applied → Application Review → Interview → Calibration → Hiring Manager Interview → Team Interview → Offer → Hired