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TAILORED FOR
Staff ML Engineer · Anthropic
MATCH
PAGES
Zhe Chen
San Francisco · zhe@chen.dev · linkedin.com/in/zhechen
Summary
Senior ML infra engineer with 8+ years building training pipelines at scale. Led Feature Store redesign at Google serving 400M+ daily inferences.
Experience
Google2021 — Present
Senior Software Engineer — ML Platform
  • ·Architected Vertex Feature Store, reducing p99 latency 62%.
  • ·Shipped cross-region replication serving 400M daily requests.
  • ·Feature parity framework adopted by 18 teams.
Stripe2019 — 2021
Software Engineer — Risk
  • ·Built Kafka/Spark fraud feature pipeline for Radar.
  • ·Merchant-graph features reduced false-positive 23%.
  • ·On-call rotation; internal debugging tooling team-adopted.
Two Sigma2017 — 2019
Data Infrastructure Engineer
  • ·Distributed time-series storage for quant research.
  • ·3x Parquet read throughput optimization.
TRUSTED BY PEOPLE FROM
GoogleMetaStripeAnthropicTwo SigmaOpenAI
01TAILOR

One résumé.
Every job.

Paste any JD. Jobna reads it, lifts the work that matches, quiets the work that doesn't — and rewrites in your voice. Never in AI's.

·One-page, every time.
·Reads like you wrote it.
·Keeps the receipts.
TAILORING → ANTHROPIC · STAFF ML
  1. Reading Anthropic JD …
  2. Matching 9 requirements to your history
  3. Drafting tailored summary
  4. Compressing Stripe to 2 lines
  5. Surfacing Mandarin for APAC
DEEP DIVE → ANTHROPIC
Team
Applied ML, Safety · ~26 ICs · reports to Liane Pozza.
Tech
JAX on TPU v5, internal eval harness, Python-heavy.
Stage
Post-Series D. ~550 employees. Profitable research org.
Culture
Research-lean. Long-form docs. Quiet Slack.
Friction
Deprecated LangChain wrapper is an active pain point.
Ask
"Tell me about a rewrite you led that people resisted."
02RESEARCH

Know the room
before you walk in.

Jobna reads everything public about a company — and stitches it into the kind of briefing you'd write yourself, if you had six more hours.

·Team, stack, stage, friction.
·Every fact, sourced.
·No slop. No filler.
03INTERVIEW

Rehearse against the actual panel.

Jobna drafts the questions you'll actually get — from the JD, the team, the public signal — and listens back. It will not tell you you did great.

·Questions pulled from real signal.
·Honest feedback, not vibes.
·Records your STAR stories.
MOCK INTERVIEW · LIVE
“”
YOU · 00:52
“The Feature Store migration. Three teams had rolled their own. I wrote a one-page diff — their version vs. mine — and walked it around instead of scheduling a review. By the time the doc went out, two teams had already flipped. The third came around after we shipped parity on a single feature they owned.”
Note.You led with the tactic, not the outcome. Flip them.
THE WORK IS STILL YOURS.

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