Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Machine Learning Engineer I
Seattle Metropolitan Area
Open 5 months, first seen by us 155 days ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
Remote — work setting source
Must be located in the United States. This position is remote for now, but candidates must be in Pacific Time zone. Unfortunately we are not able to sponsor work visa for now
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work
Unfortunately we are not able to sponsor work visa for now
What you’ll work on
Full postingTrain and deploy ML models
Automate data pipelines
Integrate AI agents with the team
Develop scalable ML pipelines on GCP and AWS
Debug and optimize application performance
From the employer’s posting
Train and Deploy ML Models
Automate data pipelines.
Collaborate with the team to integrate AI agents
Contribute to the development of scalable ML pipelines on GCP and AWS.
Debug, optimize, and enhance application performance.
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Computer Science or equivalent
- Solid foundation in data structures and algorithms
- Experience or familiarity with ML concepts
- Must be located in the United States
- Based in Pacific Time zone
Preferred experience
- Hands-on experience with GCP ML technologies such as BigQuery and Notebook
Qualification wording
Bachelor's degree in Computer Science or equivalent
A solid foundation in computer science, including data structures and algorithms.
Experience or familiarity with ML concepts
Must be located in the United States.
candidates must be in Pacific Time zone
Hands-on experience with GCP ML technologies (e.g., BigQuery, Notebook)
Education & alternatives
Qualifications - Bachelor's degree in Computer Science or equivalent - A solid foundation in computer science, including data structures and algorithms.
Benefits in the posting
Full benefits wording- Competitive Compensation
- Startup Equity
- Health, Dental and Vision Insurance
- Career Growth Opportunities
From the employer’s posting.
Posting record
Report an errorOpen 5 monthsWe first saw this posting 155 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026155 days ago
- Recorded sightings
- 65
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 155
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,331 similar postings that came down. Coming down is not always a hire.
Scowtt-Com is hiring
2 open jobs
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- AWS
- BigQuery
- GCP
Where the posting names them
- Collaborate with the team to integrate AI agents - Contribute to the development of scalable ML pipelines on GCP and AWS. - Debug, optimize, and enhance application performance.
- Experience or familiarity with ML concepts - Bonus: Hands-on experience with GCP ML technologies (e.g., BigQuery, Notebook). - A quick learner with a self-driven attitude who enjoys working in a collaborative and inclusive environment.
Your next step
Complete your application on jobs.gem.com. The employer’s form will show what is required.
Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
We are looking for a motivated and self-driven Machine Learning Engineer to join our diverse team. In this role, you will contribute to the development, training and deployment of high-quality ML models to power our Marketing AI and AI Sales Agent. This is an excellent opportunity for someone eager to grow in a collaborative, fast-paced environment where your unique background and ideas are valued.
Responsibilities
- Train and Deploy ML Models
- Automate data pipelines.
- Collaborate with the team to integrate AI agents
- Contribute to the development of scalable ML pipelines on GCP and AWS.
- Debug, optimize, and enhance application performance.
- Stay up to date with emerging technologies and best practices in ML development.
Qualifications
- Bachelor's degree in Computer Science or equivalent
- A solid foundation in computer science, including data structures and algorithms.
- Experience or familiarity with ML concepts
- Bonus: Hands-on experience with GCP ML technologies (e.g., BigQuery, Notebook).
- A quick learner with a self-driven attitude who enjoys working in a collaborative and inclusive environment.
Eligibility:
- Must be located in the United States.
- This position is remote for now, but candidates must be in Pacific Time zone.
- Unfortunately we are not able to sponsor work visa for now
Benefits:
- Competitive Compensation
- Startup Equity
- Health, Dental and Vision Insurance
- Career Growth Opportunities
Equal Opportunity & E-Verify Employer
Scowtt is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. We are committed to providing a workplace free of discrimination and harassment.
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. For more information, please visit www.e-verify.gov.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Seattle Metropolitan Area
Eligibility: - Must be located in the United States. - This position is remote for now, but candidates must be in Pacific Time zone. - Unfortunately we are not able to sponsor work visa for now
- Work authorization
- This position is remote for now, but candidates must be in Pacific Time zone. - Unfortunately we are not able to sponsor work visa for now Benefits:
More source context
Scowtt is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. We are committed to providing a workplace free of discrimination and harassment. This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. For more information, please visit www.e-verify.gov.