Staff Machine Learning Engineer – Content and Contributor Intelligence

🕒 March 18

🏄 California, Texas – Remote

🏄 California – Remote 🤠 Texas – Remote

💵 $112k - $269k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 33%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Yelp

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2004

🍽️ Food & Beverage

🏨 Hospitality

📣 Marketing

Food & Beverage • Hospitality • Marketing

Yelp is a platform that connects people with great local businesses, allowing users to write and share reviews of a variety of services including restaurants, boutiques, salons, dentists, mechanics, plumbers, and more. With approximately 155 million cumulative reviews contributed by users, Yelp enhances the consumer experience by bringing traditional word-of-mouth recommendations online.

📋 Description

• 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.

🎯 Requirements

• 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

🏖️ Benefits

• bonuses • restricted stock units • benefits