Machine Learning Engineer, Search Infrastructure

Aibreakingwire; Mountain View (CA); On-site; USD 150,000 - 250,000; Full time

Job summary

Aibreakingwire is seeking a Machine Learning Engineer for their Search Infrastructure team in Mountain View, California. You will work on developing and deploying cutting-edge machine learning models for Google Search, tackling challenges in information retrieval and natural language processing.

The ideal candidate will have a Bachelor's in Computer Science and at least 2 years of experience in software development or machine learning, along with a strong proficiency in Python and familiarity with ML frameworks like TensorFlow.

Qualifications

• 2 years of experience in software development or machine learning.
• Experience with programming languages such as C++, Java, Python, or Go.
• Deep understanding of ML concepts, including deep learning, reinforcement learning, and NLP.

Responsibilities

• Design, develop, and deploy scalable machine learning systems for Google Search.
• Research and implement state-of-the-art ML algorithms and techniques.
• Optimize ML models for performance, efficiency, and accuracy.

Skills

Machine learning

Python

TensorFlow

NLP

Ranking

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Job description

# Machine Learning Engineer, Search InfrastructureGoogle## Job DescriptionAs a Machine Learning Engineer on the Search Infrastructure team, you will be instrumental in developing and deploying cutting-edge machine learning models that power Google Search. You'll tackle complex challenges in areas such as information retrieval, ranking, query understanding, and natural language processing. Your work will involve designing, implementing, and optimizing ML pipelines, experimenting with novel algorithms, and collaborating with world-class researchers and engineers to bring innovative solutions to billions of users worldwide.Responsibilities:- Design, develop, and deploy scalable machine learning systems for Google Search.- Research and implement state-of-the-art ML algorithms and techniques.- Optimize ML models for performance, efficiency, and accuracy.- Collaborate with cross-functional teams, including product managers, researchers, and other engineers.- Stay abreast of the latest advancements in ML and NLP.Minimum Qualifications:- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.- 2 years of experience in software development or machine learning.- Experience with programming languages such as C++, Java, Python, or Go.Preferred Qualifications:- Master's or Ph.D. in Computer Science, Machine Learning, or a related field.- Experience with large-scale ML systems and distributed computing.- Deep understanding of ML concepts, including deep learning, reinforcement learning, and NLP.- Experience with ML frameworks like TensorFlow or PyTorch.## Skills & Tagsmachine learningsearchinfrastructurepythontensorflownlpranking## Job DetailsFull-timeMountain View, CA$150k – $250k USDPosted June 29, 2026Expires August 28, 2026