Founding Machine Learning Engineer, Arcade Software

$180-300k

+ Equity

TypeScript

Python

Next.js

PyTorch

Mid and Senior level

San Francisco Bay Area

On site Tuesdays and Thursdays

2 days a week in office

Interactive product demos

Be an early applicant

Interactive product demos

21-100 employees

B2BMarketingLead generationContentSaaSSales

Be an early applicant

$180-300k

+ Equity

TypeScript

Python

Next.js

PyTorch

Mid and Senior level

San Francisco Bay Area

On site Tuesdays and Thursdays

2 days a week in office

21-100 employees

B2BMarketingLead generationContentSaaSSales

Company mission

To empower teams to become great storytellers.

Job

Company

Role

Who you are

We’re looking for our first product-minded machine learning engineer who’s excited to push the boundaries of what’s possible with AI. At Arcade,
Strong Python + ML engineering background (PyTorch, diffusers, transformers, or similar)
Hands-on experience fine-tuning or training open-source models
Deep familiarity with modern inference and training tooling (LoRA, PEFT, DeepSpeed, Ray, Hugging Face, etc.)
Portfolio or prior work demonstrating creative use of generative models (visuals, videos, text, etc.)
Comfort operating across research, engineering, and product — shipping real features, not just experiments
(Nice to have) Familiarity with TypeScript/Next.js and integrating ML APIs into frontend products
Located in or willing to relocate to the Bay Area; occasional in-person collaboration required

What the job involves

At Arcade, you’ll experiment with the latest models to generate visuals, motion, and language that capture brand personality — crafting the foundation for content that builds and improves itself
This is a highly collaborative and high-impact role. You’ll partner closely with design, engineering, and product to build and customize machine learning models
Expect to move fast, own ambitious projects, and see your ideas shape the way people tell product stories
Own the ML stack end-to-end: Evaluate hosted models, fine-tune open-source ones, and build scalable pipelines for image, video, and text generation
Develop brand-aligned generation systems: Create techniques for tone, color, and style fidelity across mediums
Improve generation quality: Build internal evaluation frameworks to measure realism, brand match, and creative diversity
Prototype and ship: Rapidly turn research ideas into productized APIs that power Arcade’s content generation features
Collaborate cross-functionally: Work with design and marketing to define what “on-brand” means, and with engineers to integrate ML systems into production
Lay the foundation for content optimization: Build data pipelines connecting engagement metrics to model tuning

Our take

In order to stand out in today’s climate, product-led companies need to employ marketing strategies that can engage customers at a higher level than traditional methods. Arcade Software allows these companies to build interactive experiences for their digital spaces, that spark curiosity and entice new customers to their products.

With Arcade, a company can create product demos in minutes, automatically building from screen captures, videos, and tooltips. The demos can then be hosted on client websites, blogs, and social media, with analytics available to inform future edits and updates towards optimizing customer experience.

Arcade Software has served thousands of clients, including Atlassian and Remitly. Funding raised by the company has supported the further development of its product and the building out of its team as it grows into the future.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Nov 2024

$14m

SERIES A

Sep 2022

$5m

SEED

Total funding: $21.5m

Company benefits

Meaningful equity
Unlimited PTO and sick days
401k
Health, Dental and Vision insurance
$500 a month remote work stipend
Hybrid and meeting light culture
Biannual company retreats

Company HQ

Union Square, San Francisco, CA

Leadership

Caroline Clark

(Co-Founder & CEO)

Former Associate at Sequoia Capital as well as working in Product Marketing at Atlassian.

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