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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Yelp

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2004

Yelp is a platform that connects consumers with local businesses, allowing users to discover and review a wide variety of services including restaurants, home services, and automotive services. It aims to help consumers find trusted recommendations for goods, services, and experiences in their local area, while offering business owners tools to manage customer interactions and promote their offerings.

📋 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