Member of Technical Staff (RecSys)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Staff Plus From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Member of Technical Staff (RecSys) Palo Alto, California, United States About Astrocade Astrocade is a UGC gaming platform where anyone can turn an idea into a playable, shareable game in days, not months. Think YouTube, but for games. We've grown to more than 20 million users within just a few months of launch, and we're only getting started. Backed by Sequoia, NVIDIA, and Google, Astrocade was founded by Amir Sadeghian (Stanford PhD), Ali Sadeghian (Ex-Google Research), and Fei-Fei Li (Godmother of AI). We're building the infrastructure for a new era of interactive entertainment. About the Role Our recommendation system doesn't exist yet, and it needs to. We have a large and fast-growing catalog of games, millions of users, and new content being created every day. What you show someone, and when, is the difference between a session that lasts two minutes and one that lasts two hours. As our RecSys founding member, you'll own this problem end-to-end - set the architecture, build the foundation, and grow it from rule-based systems to deep learning. The decisions made now will shape how discovery works on the platform for years. You'll report to the CTO, and work directly with the co-founders. This is a 0 to 1 build with full ownership. What You'll Do - Design and build the systems that decide which games surface to which players, from candidate retrieval through final ranking - Own the full data pipeline - ingestion, feature engineering, training data construction, and low-latency serving - Build personalization

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