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Founding Machine Learning Engineer
Founding Machine Learning EngineerArcade • San Francisco, CA, US
Founding Machine Learning Engineer

Founding Machine Learning Engineer

Arcade • San Francisco, CA, US
9 days ago
Job type
  • Full-time
Job description

Senior Software Engineer, Machine Learning

Base pay range

$180,000.00 / yr - $300,000.00 / yr

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, 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.

Who You Are / What You'll Do

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.

What We're Looking For

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.

Compensation

Be a coach

We want the best for our customers and ourselves. An "Arcader" is both a teammate and a customer. There is a reason that the same word describes both.

Carry the weight

We are owners. Let's empower each other. When we see something that needs change, we lead through it.

An open book

We are open as a team and as a product. We don't put walls up unless it's necessary. We become better when we share information. We are open to diversity of opinion, backgrounds, and thought.

Play as a team

We

play

because we're a creator tool. Life is short. Let's build something meaningful. We

play as a team

because great teams build great things together. We keep those standards high.

Be kind

We can be honest and kind. We can have high standards and be kind. We can say no and be kind. Kindness can vary across cultures, upbringings, and languages - but we try our best to be kind.

Why Arcade Might Be a Great Fit for You

Be part of a small, highly technical team where engineers ship bold ideas end-to-end.

Work in a culture that values openness, ownership, collaboration, and kindness.

Enjoy perks like unlimited PTO, rich health / 401(k) plans, meeting-light culture, remote stipend, and biannual retreats.

Enjoy working on site in San Francisco on Tuesdays and Thursdays.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Software Development

Referrals increase your chances of interviewing at Arcade by 2x

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Machine Learning Engineer • San Francisco, CA, US

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