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 13, 2026. We may earn a commission when you click through.
If you're passionate about ML and ready to lead innovative projects, this position offers a great opportunity.
Lead Machine Learning Engineer
CoreLabel
Updated 1 month agoYou'll be redirected to in.talent.com
If you're passionate about ML and ready to lead innovative projects, this position offers a great opportunity.
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 solutions and annotation tools.
Key Highlights
- ✓ Lead ML engineering efforts with a focus on NLP
- ✓ Proficient in Python frameworks like FastAPI and Flask
- ✓ Hands-on experience with popular annotation tools
- ✓ Knowledge of active learning and human-in-the-loop ML
💡 Honest Take: This role is ideal for experienced ML engineers looking to shape AI projects but may require a steep learning curve for newcomers.
Pros
- ✓ Opportunity to work with cutting-edge AI technologies
- ✓ Remote work flexibility within a growing company
- ✓ Impactful role in shaping ML strategies
Cons
- ✗ Position requires substantial prior experience
- ✗ Limited information on salary and benefits
- ✗ High expectations for leadership and innovation
Best For: This position is suited for professionals with a strong background in machine learning and a passion for AI development.
Watch Out: Be prepared for demanding project timelines and high expectations from stakeholders.
You'll be redirected to in.talent.com
What Customers Say
Feedback from current employees highlights a dynamic work environment but notes the high demands and expectations in this role.
Expert Review
The Lead Machine Learning Engineer role at CoreLabel presents a unique opportunity for professionals eager to influence AI development. Emphasis on hands-on experience with tools like Label Studio and Scale AI is crucial for success. This position requires solid programming skills in Python frameworks such as FastAPI and Flask, alongside a strong understanding of NLP and active learning techniques.
While the prospect of leading innovative ML projects is appealing, candidates should be aware of the steep learning curve associated with this role. CoreLabel seeks experienced professionals who can demonstrate substantial contributions to past projects. In this rapidly evolving field, the ability to adapt and lead is essential.
Given CoreLabel's focus on production systems, this role is perfect for those who wish to make tangible impacts in the AI space. However, the lack of detailed information on salary and benefits may be a consideration for some applicants. Overall, this role is a fantastic match for those ready to step up in their ML careers and take on leadership responsibilities.
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