Machine Learning Engineer L-1
Austin, TX
- Pay
- Pay not listedSimilar roles state $165K–$240K
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-Time
From the employer’s posting
What you’ll work on
Full postingDevelop maintainable code to build and deploy computer vision and ML models
Integrate models into the AI pipeline with data and software engineers
Support construction and iteration of product prototypes
Support data pipeline engineering and automation
Monitor production deployments and optimize code as needed
From the employer’s posting
Develop high-quality, maintainable code to build and deploy computer vision modules and machine learning models as part of an AI pipeline
Works with data and software engineering team to integrate models into pipeline
Support construction and iteration of product prototypes
Support data pipeline engineering and automation
Production deployment and performance monitoring including code refactoring and optimization as needed
What you’ll bring
All qualificationsCore experience
- Experience in MLOps and building pipelines for deploying ML models
- Programming skills in Python, C/C++ or Javascript
- Understanding of machine learning and deep learning fundamentals
- Willingness to learn and work in a cross-functional team
Preferred experience
- Ability to obtain security clearance
Qualification wording
Experience working in MLOps and building pipelines for deploying ML models
Programming skills in Python, C/C++ or Javascript
Understanding of machine learning and deep learning fundamentals
Willing to learn and work well in a cross functional team environment
applicants are able to get clearance are preferred
Tools in this posting
- C
- C++
- JavaScript
- Python
Source — Tool mentions in context
- Experience working in MLOps and building pipelines for deploying ML models - Programming skills in Python, C/C++ or Javascript - Understanding of machine learning and deep learning fundamentals
Posting record
Report an errorOpen 4 monthsWe first saw this posting 149 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, 2026 · 149 days ago
- Recorded sightings
- 61
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Oct 20, 2025
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
Job Description:
- Develop high-quality, maintainable code to build and deploy computer vision modules and machine learning models as part of an AI pipeline
- Works with data and software engineering team to integrate models into pipeline
- Support construction and iteration of product prototypes
- Support data pipeline engineering and automation
- Stay up to date with state of the art developments in computer vision tasks
- Other duties as required by supervisors
Additional Requirements:
- Due to government contract requirements, applicants are able to get clearance are preferred
- Experience working in MLOps and building pipelines for deploying ML models
- Programming skills in Python, C/C++ or Javascript
- Understanding of machine learning and deep learning fundamentals
- Develop internal tooling as needed to support ML efforts
- Production deployment and performance monitoring including code refactoring and optimization as needed
- Support infrastructure engineering, security engineering, and architecture
- Willing to learn and work well in a cross functional team environment
- Fresh graduates are welcome to apply on a full-time basis
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Austin, TX
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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