22d ago

Staff Machine Learning Engineer

Remotefull-timelead
OtherStaff Machine Learning Engineer
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Quick Summary

Key Responsibilities

propensity to churn, lifetime value (LTV) forecasting, next-best-action, and lookalike modeling.

Requirements Summary

Expert-level Pyth

Technical Tools
OtherStaff Machine Learning Engineer

Phantom is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide.

Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Phantom partners with many of the most trusted and influential names in finance like Hyperliquid, Stripe, Kalshi and Visa, to make the most popular and innovative financial products accessible to everyone.

We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm.

We are seeking a visionary and hands-on Staff Machine Learning Engineer to lead the technical strategy, architecture, and execution of our Growth and Engagement ML initiatives. In this role, you will bridge the gap between advanced machine learning and business strategy, designing systems that drive user acquisition, retention, lifetime value (LTV), and deep product engagement.

As a technical pillar of the engineering organization, you will own the end-to-end lifecycle of complex ML models, mentor senior engineers, and collaborate closely with Product, Data Science, and Marketing leadership to move core business metrics.

Responsibilities

~1 min read

Requirements

~1 min read
  • Business Acumen: Ability to directly connect algorithmic improvements to top-line growth metrics (e.g., MAU/DAU, conversion rates, retention curves).

  • Communication: Exceptional ability to explain highly complex technical architectures and algorithmic choices to non-technical stakeholders and executives.

What We Offer

~1 min read
✓Competitive salary and equity
✓Comprehensive insurance (medical/dental/vision) 100% covered
✓Stipend for your ideal remote / WFH set-up: laptop, headphones, and any other work gear you may need
✓Flexible hours and a long-standing, supportive remote environment
✓Unlimited vacation: Take time when you need it (and we really mean it!)
✓401(k) retirement plan
✓Wellness benefit
✓Daily lunch benefit

We are a team of experienced builders with a ton of traction in a big and growing market – our users are so passionate they were hacking their way into our private beta. We've acquired millions of users in our 3+ years and are adding more every week! On top of that, there has never been a better time to work in crypto and on wallets in particular.

  • Wallets play a pivotal role: Wallets are responsible for on-boarding new users into crypto, and can make or break the user experience.

  • We are moving to a multi-chain world: New blockchains and scaling solutions are coming online and gaining traction, but are lacking decent wallets and bridges.

  • DeFi & NFTs are exploding : Interest in DeFi and NFTs has exploded, yet they are still an after-thought in existing wallets.

Location & Eligibility

Where is the job
Worldwide
Fully remote, anywhere in the world
Who can apply
Open to applicants worldwide

Listing Details

Posted
September 14, 2026
First seen
September 26, 2026
Last seen
October 5, 2026

Posting Health

Days active
10
Repost count
0
Trust Level
28%
Scored at
October 6, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
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Staff Machine Learning Engineer