Job brief: Machine Learning Engineer, Public Sector
Scale AI · Denver, CO; Honolulu, HI; Washington, DC · facts as of 2026-11-08. Anyone can open this page; no account needed.
Is it still open? · Checked by JoRoute
Still listed. JoRoute saw it on Scale AI's own job board 9 hours ago; the employer first posted it on 2025-11-18.
What JoRoute checked · Checked by JoRoute
- Listed on Scale AI's own job board. JoRoute does not take listings from job ads or recruiters.
- First seen by JoRoute 2026-11-04 (4 days ago); last confirmed on the board 2026-11-07.
- The apply link opens job-boards.greenhouse.io, the address Scale AI's board gives for this job.
- No other listing with this title and place on this board in the last 90 days.
- No layoff notices (WARN) under this name in the state files JoRoute reads.
What the listing says · Employer's own words, not checked
- Pay: $196,000 to $245,000 a year
- Job type: Not stated
- Where: Denver, CO; Honolulu, HI; Washington, DC · Washington, DC
- Posted: 2025-11-18 · over 60 days ago
What the job asks · Employer's own words, not checked
Level: Mid level. The posting asks for 2+ years of experience.
Must have
- This role will require an active TS security clearance
- 2+ years of experience building and deploying applied ML systems in production environments
- The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale;
Conditions
- Comfortable with light travel (approximately 10%) for customer interaction and team needs
- We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
Main duties
- Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers
- Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics
- Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines
- Work with massive datasets to develop both generic models as well as fine tune models for specific products
- Build scalable machine learning infrastructure to automate and optimize our ML services
Lines copied from the posting, not rewritten. "Preferred" or "nice to have" items are not listed as must-haves.
How it compares · Compared by JoRoute from listings
- Typical listed pay for engineer jobs in Washington, DC: $161k a year (287 listings, 35 employers). This listing is 37% higher.
- Across Scale AI's 125 open listings, 72% of those with a posting date were first posted more than 60 days ago. How Scale AI hires
What nobody outside the employer knows · Not known
- Whether the role is already filled or on hold: employers often leave listings up.
- How many people applied, and who reads the applications.
- Where in the published range an offer would land.
Ask before you apply
- Is this role still open, and when do you hope to fill it?
- Which of the listed places is this role based in?
- What are the interview steps, and when should I expect to hear back?
Next steps
Apply on the employer's page Full listingDoes my CV fit?Practise the interviewShould I apply?
Got a message about this job asking for money or documents? Check the message first.
Keep looking
- 397 more engineer jobs within 25 miles, on the job map with pay.
- All 125 open Scale AI jobs, and how Scale AI hires.
- Saw a job somewhere else? Check if the employer still lists it.
- Search every job JoRoute reads from employers' own job boards. No account needed.
A summary of facts and listings, not a verdict that this job or employer is safe. JoRoute is not affiliated with Scale AI. How JoRoute checks listings · Original posting

