Senior Machine Learning Engineer

Arcade; San Francisco (CA); On-site; USD 180,000 - 300,000; Full time

Benefits offered by this job

Unlimited PTO

Rich health/401(k) plans

Meeting-light culture

Remote stipend

Biannual retreats

Job summary

A leading tech company in San Francisco is seeking a Senior Software Engineer specializing in Machine Learning. In this role, you'll build and customize models while collaborating across design and engineering teams. A strong background in Python and ML, with 5+ years of experience, is essential. You’ll own the entire ML stack, prototype APIs, and drive innovation in content generation. This position offers a competitive salary ranging from $180k to $300k, plus equity, and the opportunity to work in a supportive and open culture.

Qualifications

• Minimum 5 years of experience with hands-on experience fine-tuning or training open-source models.
• Deep familiarity with modern inference and training tooling.
• Portfolio demonstrating creative use of generative models.

Responsibilities

• Own the ML stack end-to-end including evaluating hosted models.
• Develop brand-aligned generation systems for tone, color, and style fidelity.
• Prototype and ship rapid productized APIs.

Skills

Strong Python

Machine Learning engineering

Experience with PyTorch

Familiarity with TypeScript/Next.js

Tools

LoRA

DeepSpeed

Ray

Hugging Face

Job description

Senior Software Engineer, Machine Learning

We’re looking for a 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.

• 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.

What We’re Looking For

Strong Python + ML engineering background (PyTorch, diffusers, transformers, or similar).

• Minimum 5 years experience with 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.

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.

Compensation

• $180k-$300k, plus meaningful equity

Our values ❤️

• Be a coach: We want the best for our customers and ourselves. We coach people to help them achieve their best potential. 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.