Yelp, Inc

Senior Machine Learning Engineer- Content and Contributor Intelligence (Remote

Rol remoto de Machine Learning Engineering con fit claro de ubicación del candidato.

Publicado24 jul 2026

Países elegibles1 país aceptado

Señal de senioritySenior

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

Estados Unidos

Resumen del rol

Contenido del rol extraído en secciones para revisar más rápido.

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.

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

There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience. Based on the anticipated level of experience we are seeking, we expect the compensation range for this role to be between $112,000 and $269,000. You may also be offered a bonus, restricted stock units, and benefits.
This opportunity has the option to be fully remote in all locations across the US.
You can find more information about Yelp's five star benefits here!

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