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Senior Machine Learning Engineer

Join Arcade Software as a Senior Machine Learning Engineer to innovate AI-driven content generation in a collaborative environment.

Location
San Francisco Bay Area
Compensation
$180k–$300k/yr
Level
senior
Type
full time · Hybrid

Posted by employer 5 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 3 days ago

Apply at Arcade Software → Save job Scanned from arcade.software

Role intensity

70% hands-on coding

AI in the day-to-day

Experiment with the latest models to generate visuals, motion, and language that capture brand personality.

Requirements

Experience
5+ years

Not disclosed in this posting: visa sponsorship.

Benefits

401k Match Unlimited PTO Equity/Stock Options Remote Work Health Insurance

Joblaze summary

In this role, the Senior Machine Learning Engineer at Arcade Software focuses on developing and refining machine learning models for generating brand-aligned content across various media. The position requires strong expertise in Python and familiarity with tools like PyTorch and Hugging Face, alongside a proven track record in fine-tuning generative models. Ideal candidates will have at least five years of experience and a background that blends research, engineering, and product development. Arcade offers a collaborative environment where engineers can take ownership of ambitious projects and contribute to a culture of openness and creativity.

Joblaze insights

Quick facts

Is the Senior Machine Learning Engineer role remote?
It's hybrid — Arcade Software expects some on-site time in San Francisco Bay Area.
What's the salary range?
Arcade Software lists $180,000–$300,000 for this role.
How much experience is required?
At least 5 years of relevant experience for this Senior Machine Learning Engineer role.
Where is the role based?
Arcade Software is hiring for this position in San Francisco Bay Area.
What's the tech stack?
Joblaze extracted these technologies from the posting: DeepSpeed, Hugging Face, LORA, PEFT, PyTorch, Python.
What seniority level is this role?
Arcade Software targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Machine Learning Engineer role at Arcade Software.

From the original posting

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.



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