Remote Senior ML Engineer, Email Security & Production AI

Jobgether; Turkey; Remote; TRY 250,000 - 450,000; Full time

Benefits offered by this job

Fully Remote Work

Flexible Working Hours

Paid Vacation: 24 days

Public Holidays: 10 days

Sick Leave: Unlimited

Healthcare Support

Wellness Benefits

Learning and Development budget

Innovation Rewards

Technical Challenges

Job summary

Jobgether is seeking a Senior ML Engineer - Email Security to work remotely from Turkey. You will train, evaluate, and deploy spam and phishing detection models, while building a lightweight inference engine in Go and maintaining data corpora for robust production systems.

Strong collaboration and documentation are essential as you drive model releases and improvements. The role emphasizes ownership of end-to-end ML lifecycle, from dataset curations to production releases, with an emphasis on

Qualifications

• 5+ years in production detection or classification systems.
• Experience taking a ML classifier into production.
• Hands-on transformer training with PyTorch and CPU inference.
• Strong written English (B2+).

Responsibilities

• Train, evaluate, and release spam/phishing models for production.
• Develop the production components of a new email-filtering engine in Go.
• Investigate detection issues and improve models via data or retraining.
• Balance detection accuracy with false positives and latency.

Skills

Production detection

End-to-end ML ownership

Transformer training

Python

English writing

System performance tuning

Ownership and judgment

Education

Bachelor's degree in CS/ML

Tools

PyTorch

Linux

Go/Rust

Job description

Jobgether is seeking a Senior ML Engineer - Email Security to work remotely from Turkey. You will train, evaluate, and deploy spam and phishing detection models, while building a lightweight inference engine in Go and maintaining data corpora for robust production systems.

Strong collaboration and documentation are essential as you drive model releases and improvements. The role emphasizes ownership of end-to-end ML lifecycle, from dataset curations to production releases, with an emphasis on