Senior ML Engineer, Content & Contributor Intelligence

Yelp, Inc; San Francisco (CA); Hybrid; USD 112,000 - 269,000; Full time

Benefits offered by this job

Bonus

RSUs

Benefits

Job summary

Yelp is seeking a Staff-level ML Engineer to advance our Content Contributor Intelligence team. You will build and productionize ML models using neural networks, LLMs, and embedding techniques, spanning text, images, and videos.

You’ll own end-to-end ML lifecycles—from training to deployment—while collaborating with ML platforms and diverse data pipelines in a hybrid US-wide work setup.

Qualifications

• Experience developing and productionizing machine learning models, particularly in neural networks, computer vision and LLMs including their supported data pipelines.
• Experience with machine learning using packages such as PyTorch, TensorFlow, Spark MLlib, XGBoost, and Sklearn.
• Strong coding skills in Python or equivalent (Java, C++).
• Solid understanding of engineering and infrastructure best practices.
• The curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal.
• We highly value experience of working with LLMs, utilizing LLM APIs (OpenAI, Bedrock, etc), prompt engineering and evaluation.
• A Bachelor’s Degree or an equivalent work experience is required

Responsibilities

• Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
• Mentor and guide junior engineers, fostering a culture of learning and technical excellence.
• Work with large and complex textual and visual datasets.
• Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
• Work in the contributor and visual intelligence team on text and visual understanding, along with fine tuning transformer models to derive embeddings for multiple input types.
• Productionize and automate model pipelines within Python services.
• Drive and advocate adoption of best practices in ML development and operations, and mentor newer engineers in those practices.

Skills

ML engineering

Python

PyTorch

LLMs

Neural networks

Education

Bachelor’s Degree

Tools

PyTorch

TensorFlow

Spark MLlib

XGBoost

Scikit-Learn

Job description

Yelp is seeking a Staff-level ML Engineer to advance our Content Contributor Intelligence team. You will build and productionize ML models using neural networks, LLMs, and embedding techniques, spanning text, images, and videos.

You’ll own end-to-end ML lifecycles—from training to deployment—while collaborating with ML platforms and diverse data pipelines in a hybrid US-wide work setup.