Find Your Path in the AI Era
Discover Real Career Opportunities in the AI Era
AI Labs
November 6, 2025
Breaking into Frontier Labs
Pathways to working on frontier models at DeepMind, and Nvidia AI lab.
Startups
November 20, 2025
AI Startups
How to land roles and grow your career in the fast-moving world of AI startups.
Big Tech
Upcoming
Applied AI at Big Tech
How research becomes large-scale products at companies like Microsoft, Google, and Adobe
AI Infra
Upcoming
Building the Infrastructure of Intelligence
Careers in AI hardware, compute, and the backbone powering the next generation of models.
Industry Series
Upcoming
Robotics: Bringing AI into the Physical World
Opportunities at the intersection of intelligence, embodiment, and real-world engineering.
Role Series
Upcoming
AI Product & Design
Non-engineering roles shaping how humans experience and interact with AI.
Role Series
Upcoming
AI Operations, Sales & Marketing
The business, operations, and go-to-market careers driving AI adoption and growth.
Industry Series
Upcoming
AI Across Industries
How professionals in healthcare, education, law, and more are building AI-driven careers.
Past Events
Recap & Highlights
The room was full of people with the same question on their minds: How do you actually break into frontier AI labs? Especially if you don’t have the “right” background?
On November 6th, we sat down with Chi and Edward, both with PhDs and now at leading AI organizations, to talk honestly about paths into AI research. What surprised us most wasn’t their credentials, but how much they emphasized that the path in doesn’t require following their exact trajectory.
Guest Speakers
Zhiyu (Edward) Cheng - NVIDIA
Chi Wang - AutoGen | Google DeepMind
We've discussed
• What a frontier research career looks like inside major labs
• Academic vs. industry research tracks
• Insider prep for research interviews & collaborations
Upcoming Events
About this session
How does AI research translate into products used by hundreds of millions?This session brings applied scientists and ML engineers from top tech companies to share how they deploy models at scale, balance innovation with reliability, and collaborate across research and product teams.Discover how to break into applied AI roles — and how they differ from core research and product engineering positions.
Speaker archetype: Applied Scientist / ML Engineer
Example guests: Microsoft, Google
You’ll learn
• How research gets productized within large organizations
• The career paths for applied scientists and ML engineers
• How to build the technical portfolio that big tech recruiters notice
• What to expect from day-to-day work in applied AI
About this session
Behind every breakthrough model is massive compute power — and the teams that design, optimize, and scale it.
As AI systems grow larger and more complex, the demand for engineers, architects, and operators who understand infrastructure for intelligence has exploded.
How do companies like NVIDIA, Nebius, and CoreWeave build and manage the hardware that powers modern AI? What roles are emerging in cloud infrastructure, GPU optimization, and distributed training — and how can you position yourself for them?
In this session, hardware and infrastructure leaders share how the compute ecosystem is evolving — and where the next wave of career opportunities lies.
Speaker archetype: AI Infrastructure Engineer / Cloud Architect / Hardware Product Lead
Example guests: NVIDIA, Nebius, Lambda Labs, CoreWeave
You’ll learn
• How large-scale AI infrastructure is designed, deployed, and optimized
• The fastest-growing roles in AI hardware, compute, and cloud operations
• How to transition into infrastructure roles from software, systems, or research backgrounds
• The skills that make candidates stand out to companies building the AI backbone
About this session
The next frontier of AI isn’t just digital — it’s physical.
From humanoid robots to autonomous warehouses and surgical systems, robotics is where AI meets the real world. But how do you break into such a technically demanding and fast-moving field? What roles exist for engineers, scientists, and operators — and what skills set successful candidates apart?
In this session, we’ll hear from robotics engineers and product leads building embodied AI systems at the edge of research and industry. They’ll share how the field is evolving, what kinds of teams are hiring, and how you can join the movement bringing intelligence into motion.
Speaker archetype: Robotics Engineer / Applied Research Scientist / Product Lead
Example guests: Figure AI, Tesla Optimus, Boston Dynamics, Stanford Robotics Lab
You’ll learn
• How AI is transforming robotics across hardware, software, and simulation
• The key roles and skillsets in modern robotics teams — from control to perception to integration
• How to enter the robotics industry, whether from academia, software, or hardware backgrounds
• What makes robotics careers unique — and how to grow in this rapidly advancing space
About this session
How do AI product managers and designers turn model capabilities into intuitive user experiences? What skills matter most when breaking into these roles — and how can you stand out without a technical background?
In this session, PMs and designers from Google, Figma, and Hugging Face will share how they shape the way people interact with AI — and how you can build a career at the intersection of product, design, and emerging technology.
Speaker archetype: AI Product Manager / AI UX Designer
Example guests: Google Gemini PM, Hugging Face product lead, Figma AI designer)
You’ll learn
• What AI-focused PM and design roles look like in practice
• How to stand out as a candidate for AI product and UX positions
• The core skills and mindsets needed to succeed without a technical background
• How to collaborate effectively with engineers and ML teams to bring AI products to life
About this session
Every breakthrough AI product needs more than great models — it needs people who can bring it to market, build customer relationships, and scale real-world impact.
How do non-technical professionals build careers in AI operations, sales, and marketing? What skills are most in demand, and how can you position your background — in consulting, strategy, communications, or business — to enter this fast-growing space?
In this session, operations and growth leaders from leading AI companies share how they turn cutting-edge technology into thriving products and businesses — and what it takes to join them.
Speaker archetype: AI Operations Lead / Growth Manager / Sales or Marketing Director
Example guests: OpenAI business operations, Scale AI go-to-market lead, Runway partnerships manager
You’ll learn
• What roles exist across AI operations, sales, partnerships, and marketing
• How AI companies hire for go-to-market and business functions
• The skills that make non-technical candidates stand out in an AI organization
• How to translate business and communication expertise into impact in the AI era
About this session
AI isn’t just for engineers — it’s transforming every industry, from healthcare and education to finance, law, and beyond.
How are professionals in non-technical fields finding their place in the AI revolution? What kinds of roles exist for people who bring domain expertise — and how can you make the transition even without a technical background?
In this closing session, applied AI leaders from Tempus, Duolingo, and other sectors share how they’ve built impactful careers at the intersection of domain knowledge and machine learning — and what paths are opening next.
Speaker archetype: Applied AI Professional in Non-Tech Sector
Example guests: Tempus (healthcare), Duolingo (education), Harvey (law)
You’ll learn
• How AI is being applied across healthcare, education, and other non-tech industries
• What roles are emerging for domain experts who learn to “speak AI”
• How to collaborate effectively with technical teams as a subject-matter lead
• Practical strategies and entry points for transitioning into applied AI roles