Staff ML Engineer, Search Ads Auto-Bidding

Apigee; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Apigee in the United States is seeking a senior software engineer focused on ML systems with 8+ years of experience, including testing and launching software products. You will design, implement, and optimize ML-driven features within large-scale systems, collaborating with cross-functional teams.

Candidates should have deep learning, transformers or LLM experience and be proficient in Python or C++. A Bachelor's degree or equivalent is required, with advanced degrees preferred.

Qualifications

• 8+ years of experience in software development.
• 5+ years testing, launching software products.
• 3+ years in software design and architecture.
• Experience with deep learning, transformers or LLMs.
• Proficiency in Python or C++.

Skills

Deep learning

Transformers/LLMs

ML model training & inference

Python

C++

Software design & architecture

Software testing & product launch

Education

Bachelor's degree or equivalent practical experience

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• Experience with deep learning, transformers, or large language models (LLMs).
• Experience with machine learning model training and inference performance, and programming in Python or C++.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  
• Experience designing and analyzing experiments for machine learning models.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, Keras, or TFX).
• Experience deploying and maintaining machine learning systems in production environments.
• Experience working with advertising systems or related technologies.