Personal Knowledge and Retrieval Engineer

HushOne, Inc.

Kirkland (WA)

On-site

USD 120,000 - 160,000

Full time

14 days+
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Benefits offered by this job

Stock options
Annual bonus program
Health, dental, vision insurance

Job summary

HushOne, Inc. in Kirkland, WA is seeking a skilled engineer to design and build ingestion, parsing, retrieval, structured memory, and provenance across documents and services.

You will ensure source attribution and permission checks throughout the pipeline and manage corrections across indexes and caches. The role emphasizes evaluating retrieval quality on person-specific corpora, maintaining provenance, and balancing accuracy with performance in real-world data.

Qualifications

  • Information retrieval, database, or applied machine-learning experience.
  • You measure answer usefulness and source correctness rather than only similarity.
  • You keep provenance attached through the whole pipeline.
  • You can evaluate retrieval quality on a corpus that belongs to one person.

Responsibilities

  • Build ingestion, parsing, retrieval, structured memory and provenance across documents and selected services.
  • Preserve permissions at retrieval time and distinguish original records from generated summaries.
  • Handle corrections, conflicting facts and deletion across indexes and caches.
  • Resolve a question when two documents disagree and only one may be shared with the requester.

Skills

Information retrieval experience
Proven measurement of usefulness &源

Job description

You help a person find and use their own information without losing its source, its meaning, or its privacy. The measure is whether the answer is useful and correctly attributed, which is a different and harder target than embedding similarity.

The work:

Build ingestion, parsing, retrieval, structured memory and provenance across documents and selected services. Preserve permissions at retrieval time and distinguish original records from generated summaries. Handle corrections, conflicting facts and deletion across indexes and caches.

What good looks like:

In your first 90 days, deliver a personal search workflow with source-linked answers, permission checks and a verified deletion path.

Evidence we look for:

Bring information-retrieval, database or ML application experience. Show how you measure answer usefulness and source correctness rather than only embedding similarity.

Required:
  • Information retrieval, database, or applied machine-learning experience
  • You measure answer usefulness and source correctness rather than only similarity
  • You keep provenance attached through the whole pipeline
  • You can evaluate retrieval quality on a corpus that belongs to one person
Nice to have:
  • Hybrid retrieval combining lexical and vector search
  • Personal knowledge management or note systems
  • On-device indexing under storage limits
The exercise:

Resolve a question when two documents disagree and only one may be shared with the requesting agent.

How we work:

We work together in the office, five days a week, and you can be based at any of our garages: Kirkland Garage (Kirkland, WA); UAE Garage (Dubai, Dubai). We hire across the United States, India and the UAE. We are remote-friendly around family: if you need to work from home some days to look after the people you love, we arrange that with you one person at a time, and we encourage people to use it rather than tough it out.

Pay:

We publish what we pay. Indicative ranges by market and level are on our compensation page, and they are realistic going market rates rather than headline numbers. Wherever we hire we pay at least the local market rate, and for full-time roles our floor is a living wage, never the statutory minimum. Compensation is reviewed every year and on promotion.

Equity:

Every full-time teammate gets stock options. Four-year vesting with a one-year cliff, sized to role, level and impact, and confirmed in writing at offer. High performers earn refresh grants.

Bonus and commission:

An annual performance bonus tied to clear company and personal goals, indicatively 10 to 20 percent of base for non-sales roles. Customer-facing roles carry on-target earnings, typically a 50/50 split of base and variable, with uncapped commission and accelerators above quota.

Health and peace of mind:

Medical, dental and vision for you and your family, plus life and disability cover. We have chosen the highest plan tier available to us rather than the cheapest one that clears the bar, because the point of this is that you never have to think about it. The specific plan numbers are confirmed in your offer letter.

401(k) with company matching:

A 401(k) with a company match, so the years you spend here compound into something that is yours whatever happens next. The match formula is confirmed in your offer letter.

AI tokens:

A budget of AI tokens of your own, because a company that says you should own your AI cannot be the company that rations it. Use them on the work and on whatever you are curious about.

Gym, and the everyday things:

A gym membership, and a corporate benefits programme with its own app, where you redeem real discounts with a long list of retailers on the ordinary purchases of a life.

Family:

We are remote-friendly around your family, arranged one person at a time, and we would rather you took it than toughed it out.

Referrals:

Refer someone we hire full-time who stays a year and you get $1,000 plus $10,000 in referral stock-based equity, on top of your own package.

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