1 day ago
Base Salary
$174k - $252k/yr
Responsibilities
- Write and test product or system development code.
- Develop representation-learning models, including embedding and encoder models using contrastive, supervised, or self-supervised objectives.
- Build set and sequence encoders using techniques such as attention pooling and Transformers.
- Execute clustering or metric learning at scale and assess cluster quality.
- Use LLM embeddings and automated evaluators in ML systems, and distill LLM judgments into classifiers.
- Develop systems supporting Discover retrieval, pre-ranking, personalization, and recommendation at massive scale.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 5 years of experience building and launching production ML models, including at least 2 years with recommendation, retrieval, search, or personalization systems.
- At least 1 year of experience designing, analyzing, and optimizing algorithms for high-performance systems and implementing ML algorithms such as classification, regression, clustering, and deep learning.
- Experience with large-scale data processing using Beam, Spark, or similar technologies, along with Python, C++, SQL, and JAX, TensorFlow, or PyTorch.
- Preferred: Master’s degree or PhD in Computer Science or a related technical field.
- Preferred: 5 years of experience with data structures and algorithms.
- Preferred: 1 year of experience in a technical leadership role.
- Preferred: experience developing accessible technologies and driving quality projects from design through A/B experimentation to launch.
Benefits
- Equity and employee benefits are provided.
- The role is based on Google’s Discover and Search teams and supports globally scaled products.
Tech Stack
Categories
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.