Staff Parser/Compiler Research Engineer
Company websitedottxt.ai (txt, opens in new tab)
Base salary $160K to $210K
Employer-published annual base salary, USD. Advertised base range in United States
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationUnited States
- WorkplaceRemote
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
About this job
.txt builds structured generation: we make language models produce output that follows a given format, by deciding at every decoding step which tokens are allowed. We compile a JSON Schema, a regex, a grammar, a list of function definitions or a policy into that decision, fast enough to run inside the decoding loop. This is how .txt builds reliable and safe agents. We're looking for a developer to work on the parsers and compilers at the center of it.
Responsibilities
Design and Develop: Craft high-performance parsers and data structures that integrate with LLMs.
Problem Solving: Research advanced parser and compiler technology and symbolic methods.
Writing Quality Code: Ensure the reliability and efficiency of our methods through rigorous testing and optimization.
Stay Ahead: Learn the latest, relevant LLM advancements.
Qualifications
You know Python at a professional level and have practical experience with "lower-level" languages (e.g. C/C++, Rust)
You have worked directly with parsers (e.g. Earley, LALR(1)), formal grammars, finite-state machines, and implemented efficient data structures. You are also capable of doing research and development in those areas.
You are familiar with our relevant technical report and open-source project.
You value simplicity, testing, and automation, and you can demonstrate this.
You communicate clearly, concisely, and consistently in written form.
Why you should join us:
🧭 The problem matters
Every agent that takes real actions needs a layer that guarantees it can only do what it was asked. The parser and compiler work in this role is what enables this guarantee.
🌐 Remote first
Work from anywhere in the world. We communicate mostly in writing and favor occasional organic discussions over recurring large team meetings.
💸 Competitive compensation and benefits
Market-rate salary plus stock options, health and dental insurance, and a 401(k) for US employees. We'll also get you a GPU if you don't have one.
Location
.txt is a fully remote company with the majority of the team in the US and EU.
For this role, you must be based in the US.
Applying
Please provide a 1-page resume in English.
Only apply to one position at a time.
Source: txt on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($160,000) is above 42% of the 3,618 Data & ML roles nationwide listed on this site; 57 others list the same floor. Their median floor is $169,973; the middle half runs from $137,400 to $200,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingStaff Parser/Compiler Research Engineer$160K to $210K
Staff Rust Developer$160K to $210K
Chart as a table
| Role | Published base |
|---|---|
| Staff Parser/Compiler Research Engineer (this listing) | $160K - $210K |
| Staff Rust Developer | $160K - $210K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-09-02
Where this pay comes from
Location as the employer wrote it: Remote - USA
USD 160,000 – 210,000 · 1 YEAR · Salary · US
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.