AI/ML Engineer ($250k-$400k + Equity) at Known

Jack & Jill

San Francisco, USonsite$250k-$400k/yrPosted Jun 30, 2026
Posting intelligenceActively listedReposted 3×, possible evergreen/ghost posting

Skills

goml

About the role

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.

She will pick the best candidates from Jack's network.

The next step is to speak to Jack.

Job Title

AI/ML Engineer

Salary

$250k-$400k + Equity

Company Description

Known is a voice-first AI matchmaking platform that recently raised a $10M seed round led by Forerunner Ventures, NFX, and Pear VC. Based in San Francisco, Known replaces swiping with intimate, AI-driven single introductions, leveraging deep signals and personalization to facilitate real-world dates for a growing community of users.

Job Description

You will own the core matching and recommendation engines from zero to production scale. Working alongside founders from Uber and Cash App, you’ll build the systems that define the user experience for this voice-first dating app. This is a high-impact role requiring expertise in scaling user-facing algorithms for consumer personalization.

Location

San Francisco, USA

Why this role is remarkable

Join an elite founding team from Cosmos, Uber, and Cash App who have a proven track record of building high-growth AI-driven consumer products.

Work at the forefront of consumer AI with $10M in seed backing from top-tier investors including Forerunner Ventures, NFX, and Pear VC.

The recommendation engine isn't just a feature; it is the entire product, offering you total ownership over the company's core value proposition.

What You Will Do

Design and implement the production-scale recommendation and ranking algorithms that power the core single-match experience for every Known user.

Lead the transition of matchmaking systems from experimental prototypes to robust, scalable production environments capable of handling high-growth consumer traffic.

Grow and mentor a small, high-performing technical team while maintaining a hands-on approach to shipping high-quality, user-facing personalization features.

The ideal candidate

Proven experience building and scaling user-facing recommendation, matching, or ranking algorithms at an early-stage consumer company like Tinder, Instagram, or Spotify.

Significant tenure as an early engineer during a 0→1 or rapid scaling phase, having stayed to see systems reach production maturity and scale.

Strong leadership background with experience growing small technical teams and a passion for building intimate, high-signal personalization experiences for end users.

Who are Jack & Jill?

Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.

And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

How does this work?

Jill is the AI recruiter working for the company. She recruits from Jack's network.

If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.

We never post fake jobs

This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.

Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.

We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

Compensation

This Machine Learning Engineer role pays $250k-$400k/yr. Within typical range for machine learning engineer roles in United States.

Questions about this role

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Compensation for Machine Learning Engineer roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Machine Learning Engineer hub for United States medians across recent openings.

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