FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining large-scale machine learning systems, with a strong focus on production-quality code and model behavior. Capable of mentoring junior engineers and collaborating effectively with cross-functional teams.
Highest-signal resume keywords
Machine LearningPythonPyTorchJAXLarge-Scale ML Systems
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningPythonML FrameworksProduction-Quality CodeLarge-Scale ML Systems
Soft Skills
Problem-SolvingMentoring
Industry Keywords
ML Model BehaviorData PreparationDebuggingCollaborationProactive AI Products
Tech Stack
Tools & technologiesPythonPyTorch
About the role
Key responsibilities & impact- Build core ML systems for proactive AI products
- Own tasks end-to-end from data preparation to iteration
- Collaborate with research and product teams
- Debug and resolve production issues
- Mentor other ML engineers
Requirements
What you’ll need- 5+ years of experience in machine learning
- Experience with Python and ML frameworks (e.g., PyTorch, JAX)
- Strong understanding of ML model behavior in production
- Ability to write production-quality code
- Experience with large-scale ML systems
- Strong problem-solving skills
- Ability to mentor junior engineers
Benefits
Comp & perks- Flexible work arrangements
- Professional development opportunities
- Remote work options
