---
title: 'Marketing Intern - AI/ML at Inception'
canonical: 'https://feeny.ai/job/marketing-intern-ai-ml-inception-bay-area-hqv1w6vc88sy'
type: 'job'
last_seen: '2026-09-05'
---

# Marketing Intern - AI/ML at Inception

- **Company:** Inception
- **Location:** Bay Area
- **Employment:** internship
- **Work type:** remote
- **Posted:** 2026-04-09
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.gem.com/inception/am9icG9zdDorLGpmjIjxeBUzAD653MFa

## Job description

## The Role

We're looking for a Marketing Intern - AI/ML to own Inception's voice across X, LinkedIn, and more. The ideal candidate is at the intersection of Marketing and AI and has a curiosity for language models.

This is not a content scheduling role. You'll report directly to the Head of Marketing and interact regularly with the founding team. You'll be in the room for launch planning, have context on the product roadmap, and make real-time editorial calls about what to post, when to engage, and how to respond. The internship is designed to convert to full-time for the right person.

Commitment: Flexible: part-time (10–15 hrs/week) or full-time (up to 40 hrs/week). Duration: 3-month engagement, with a path to full-time based on performance. Compensation: $30/hr

## Key Responsibilities

- Write and publish social content for Inception's X and LinkedIn accounts
- Monitor AI/ML conversation in real-time and engage on behalf of the company — responding to mentions, joining relevant threads, and surfacing opportunities to the team
- Run the social playbook for product launches, partnership announcements, benchmark results, and events (GTC, NeurIPS, ICML, ICLR)
- Create short-form video content: launch demos, speed comparisons, developer testimonials, and technical explainers
- Engage the developer community on Discord, Hacker News, and Reddit

## Qualifications

- Student (undergrad or grad) in CS, EE, MS&E, Communication, or a related field. You understand how LLMs work at a conceptual level and can hold a technical conversation. Open to select recent grads.
- Active on socials. You already follow AI Twitter. You know who Andrej Karpathy, Swyx, Jim Fan, Andrew Ng, and Artificial Analysis are. You have opinions about which AI lab has the best social presence and why.
- Strong writer with voice control. You can write a technical thread that earns respect from developers, Fortune 500 enterprises, AND a punchy launch post that gets broad engagement.
- Operator, not observer. On launch day, you're not watching from the sidelines. You're monitoring threads, engaging with developers, making real-time decisions about what to amplify, activating the Inception team, and keeping the team momentum going.
- Video and visual skills are a plus. If you can create short-form video content — demos, speed comparisons, explainers.
- You've built something with an audience. Your own X account, a newsletter, a podcast, a YouTube channel, a campus publication. Something where you created content that people engaged with. Show us.

Why this internship?

- Real ownership from day one. You're not writing drafts for someone else to approve. You will own the accounts. Your judgment, your voice, your calls.
- Direct access to the founding team. You'll work with the Head of Marketing daily and interact with the founding team regularly. Front-row seat to how a venture-backed AI company goes to market.
- Help build the function. You'll work with an experienced GTM team to shape Inception's social presence from the ground up — creating playbooks, processes, and voice that scale with the company during hypergrowth.
- Category-defining moment. Diffusion for language is a new paradigm. You'd be helping define how the world understands this technology — from the researchers that pioneered it.
- Path to full-time. This internship is designed to convert to a full-time opportunity.

## Why Join Inception

- Work with World-Class Talent: Collaborate with the inventors of diffusion models and leading AI researchers
- Shape Foundational Technology: Your decisions will influence how the next generation of AI products are built and used
- Immediate Impact: Join at the ground floor where your contributions directly shape product direction and company trajectory

## About Us

Inception creates the world’s fastest, most efficient AI models. Today’s autoregressive LLMs generate tokens sequentially, which makes them painfully slow and expensive. Inception’s diffusion-based LLMs (dLLMs) generate answers in parallel. They are 5x faster and more efficient, while delivering best-in-class quality.

Inception was co-founded by Stanford professor [Stefano Ermon](https://cs.stanford.edu/~ermon/), who co-invented such breakthrough AI technologies as diffusion models, flash attention, and DPO, UCLA professor [Aditya Grover](https://aditya-grover.github.io/), who co-invented node2vec, decision transformers, and d1 reasoning, and Cornell professor and Afresh co-founder [Volodymyr Kuleshov](https://www.cs.cornell.edu/~kuleshov/), who co-invented MDLM and Block Diffusion.

We pioneered the application of diffusion to language, with world’s first (and only) commercially available dLLM, Mercury. We are currently deploying our large-scale diffusion LLMs at Fortune 500 companies. Diffusion is the technology behind today’s image and video AI, and we’re making it the standard for LLMs as well.

Our team includes engineers from Google DeepMind, Meta AI, Microsoft AI, and OpenAI. Based in Palo Alto, CA, we are backed by A-list venture capitalists, including Menlo Ventures, Mayfield, M12 (Microsoft’s venture fund), Snowflake Ventures, Databricks, and Innovation Endeavors, and by tech luminaries such as Andrew Ng, Andrej Karpathy, and Eric Schmidt.

If you are talented, innovative, and ambitious, come help us invent the future of AI. We are an equal opportunity employer and encourage candidates of all backgrounds to apply.

## About Inception

## Company Overview
- **One-liner**: Inception is an AI research and product company building diffusion-based language models (dLLMs) for production applications, offering 5x faster inference than traditional autoregressive LLMs.
- **Entity Type**: Private (Seed-stage; $57M total funding)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: Not publicly available (earliest funding round dated March 2025)
- **Founders**: Stefano Ermon (CEO), Aditya Grover (Co-Founder & CTO), Volodymyr Kuleshov (Co-Founder)

## Core Business
- **Primary industry**: Artificial intelligence research and infrastructure; large language models (LLMs)
- **Target customers**: B2B developers, enterprises, and AI application builders requiring low-latency, high-volume LLM inference for multi-step agents and real-time products.
- **Mission or purpose**: “We’re building the next generation of LLMs” – enabling intelligent, responsive, and scalable AI applications through diffusion-based architectures.

## Products & Services
- **Mercury (dLLM family)**: The world’s first commercially available family of diffusion large language models. Generates output via a coarse-to-fine iterative refinement process over a small number of steps, achieving 5x greater speed than autoregressive models while maintaining best-in-class quality. Seamlessly integrates into existing LLM workflows.
- **Research technologies**: d1 Reasoning, Discrete Diffusion Guidance, Direct Preference Optimization, Flash Attention, Decision Transformers, and Diffusion Models – foundational contributions that underpin the company’s product.

## Market Standing
- **Valuation / Market Cap**: Not disclosed
- **Key Metric**: Total funding of $57M across two seed rounds (2025)
- **Notable Investors / Partners**: Menlo Ventures (led the $50M seed round), Amazon Web Services (non‑equity assistance), Eric Schmidt (individual investor)
- **Growth Signals**: Headcount grew 187.5% year‑over‑year to 39 employees; LinkedIn followers increased 240% yearly to ~11,800; active job postings across AI systems, engineering, research, product, and marketing; talent sourced from Google DeepMind, Stanford SAIL, Meta, Amazon, and Pixxel.

## Competitive Advantages
- **Diffusion paradigm**: Non‑autoregressive generation that allows parallel refinement and revision during inference, breaking the sequential token‑by‑token bottleneck of conventional LLMs.
- **Speed‑cost curve**: Delivers 5x faster output with a fundamentally different cost structure, critical for real‑time, multi‑step agent workflows.
- **Founding team pedigree**: Co‑founders have pioneered breakthroughs in model architectures (Flash Attention, Direct Preference Optimization) and have deep experience turning research into production systems at scale.

## Strategic Focus
- Scaling Mercury adoption by integrating dLLMs into existing LLM pipelines and targeting high‑volume, latency‑sensitive applications.
- Advancing research in diffusion‑based reasoning, reinforcement learning for language models, and training/serving infrastructure.
- Expanding the team across AI systems (kernels, inference, training infra), product engineering, and research to accelerate product‑market fit.

## Why Work Here
- **Culture**: A tight‑knit team of scientists, engineers, and builders focused on shipping frontier AI research. Emphasis on innovation, speed, and real‑world impact.
- **Work policy**: In‑office for most roles (Palo Alto HQ); a Marketing Intern position is listed as remote. Typical time on‑site is full‑time in the office.
- **Notable perks / engineering culture**: Opportunity to work on cutting‑edge diffusion LLMs from scratch, contribute to foundational research (papers published), and collaborate with alumni from top AI labs. Roles span from kernel engineering to RL infrastructure and product management.
- **Growth**: Rapidly scaling headcount (+187% YoY) with open positions across multiple disciplines, offering strong career progression in a high‑visibility startup.

## Sources
1. [inceptionlabs.ai/about](https://www.inceptionlabs.ai/about)
2. [inceptionlabs.ai/careers](https://www.inceptionlabs.ai/careers)
3. [jobs.gem.com/inception](https://jobs.gem.com/inception)
4. [linkedin.com/company/inception-labs-ai](https://linkedin.com/company/inception-labs-ai)
5. [builtin.com/company/inception](https://builtin.com/company/inception)

## Other roles at Inception

- [Developer Relations](https://feeny.ai/job/developer-relations-inception-bay-area-9gb5d35p4ack) — Bay Area
- [Member of Technical Staff, Security Engineering](https://feeny.ai/job/member-of-technical-staff-security-engineering-inception-bay-area-bkgnvmqqqyg1) — Bay Area
- [Member of Technical Staff, Forward Deployed AI Engineer](https://feeny.ai/job/member-of-technical-staff-forward-deployed-ai-engineer-inception-bay-area-n37pn7zzk4sr) — Bay Area
- [Member of Technical Staff, Software Engineer](https://feeny.ai/job/member-of-technical-staff-software-engineer-inception-bay-area-b1ts9n512wcr) — Bay Area
- [Member of Technical Staff, Backend, LLM Applications](https://feeny.ai/job/member-of-technical-staff-backend-llm-applications-inception-bay-area-55k8x9hxv3x9) — Bay Area
- [Member of Technical Staff, Full Stack, LLM Applications](https://feeny.ai/job/member-of-technical-staff-full-stack-llm-applications-inception-bay-area-km5kydrykfam) — Bay Area
- [Member of Technical Staff, Data Infrastructure](https://feeny.ai/job/member-of-technical-staff-data-infrastructure-inception-bay-area-2p6nfm2vwe2b) — Bay Area
- [Member of Technical Staff, RL Infra](https://feeny.ai/job/member-of-technical-staff-rl-infra-inception-bay-area-4q6ej1rbc1b2) — Bay Area
- [Member of Technical Staff, Training Infra](https://feeny.ai/job/member-of-technical-staff-training-infra-inception-bay-area-na2qhxfw1grw) — Bay Area
- [Member of Technical Staff, Kernels](https://feeny.ai/job/member-of-technical-staff-kernels-inception-bay-area-z2gjybc11h41) — Bay Area