Lead Machine Learning Engineer
CoreLabel
Join CoreLabel as a Lead Machine Learning Engineer, focusing on ML engineering, NLP, and annotation tooling with strong Python skills.
Last checked on June 14, 2026. We may earn a commission when you click through.
This position is ideal for those with a strong background in machine learning looking to lead impactful projects.
Lead Machine Learning Engineer
CoreLabel
Updated 2 days agoYou'll be redirected to in.talent.com
This position is ideal for those with a strong background in machine learning looking to lead impactful projects.
About this role
Join CoreLabel as a Lead Machine Learning Engineer, focusing on ML engineering, NLP, and annotation tooling with strong Python skills.
About the Company
CoreLabel is a US-based AI training data company that specializes in machine learning and natural language processing solutions.
Key Highlights
- ✓ Experience in shipping production systems in ML and NLP.
- ✓ Proficient in Python frameworks like FastAPI and Flask.
- ✓ Hands-on experience with tools like Label Studio and Scale AI.
- ✓ Familiarity with active learning and human-in-the-loop ML.
💡 Honest Take: This role demands advanced technical skills and experience in a rapidly evolving field, making it suitable for seasoned professionals only.
Pros
- ✓ Opportunity to work with cutting-edge AI technology.
- ✓ Engage in diverse ML applications and projects.
- ✓ Collaborative environment with a focus on innovation.
Cons
- ✗ Not suitable for entry-level candidates or those new to ML.
- ✗ Expectation for significant hands-on experience.
- ✗ Limited remote work options as it requires on-site presence.
Best For: Ideal for professionals with a solid background in ML and NLP looking to advance their careers.
Watch Out: Candidates should have substantial experience; this isn't a role for those still learning the basics of machine learning.
You'll be redirected to in.talent.com
What Customers Say
Employees appreciate the innovative projects but note the demanding expectations for expertise.
Expert Review
In the competitive landscape of machine learning, CoreLabel's Lead Machine Learning Engineer position offers a unique opportunity. The role emphasizes hands-on experience with production systems, requiring proficiency in Python and familiarity with tools like Label Studio. This makes it a rigorous fit for seasoned professionals.
With the demand for AI skills surging, CoreLabel’s focus on active learning and human-in-the-loop ML reflects industry trends towards more interactive and adaptive systems. Candidates with a background in NLP and annotation tooling will find their skills directly applicable in this role.
However, the on-site requirement may limit flexibility, especially for those used to remote work environments. the expectation for advanced knowledge means that newer entrants to the field may struggle to meet the criteria. According to the company's page, a strong technical foundation is essential for success here.
You might also like
Related Articles
Security & Enforcement Jobs: What's Worth Your Time This Spring
Exploring top security roles in April, from analysts to engineers. Discover the best picks for your career move.
Project Management Roles: What's Worth Your Time in April
Explore top project management roles this April. Discover which jobs offer the best pay, flexibility, and growth potential.
Finance Roles You Need to Consider This April
Explore top finance roles from budget-friendly to premium picks, and find your ideal career move this spring.
Where to Find the Best Paying Admin Jobs This April
Discover the top companies hiring for admin roles with the best pay and benefits. Get insights on where to apply for maximum salary and flexibility.
Debunking Teaching Myths: What's Really True in Education?
Think teaching is an easy gig with summers off? Think again. We debunk common myths about the education sector, giving you the real scoop on what's true and what's not.
Electrical vs Mechanical Engineering Jobs: Which Pays More?
Choosing between electrical and mechanical engineering roles? Here's what you need to consider to make the best decision this April.