Senior Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States)
Senior Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States)
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$ 112000 - 269000
1 Vacancy
Job Description
Summary
Yelps mission of connecting people with great local businesses requires the use of cuttingedge Machine Learning (ML) and Artificial Intelligence (AI) to scale across a vast and diverse base of users and businesses spanning various geographical locations. As a Stafflevel ML Engineer on the Content Contributor Intelligence team you will help build connections across millions of users and business listings. Your work will involve using cuttingedge industry tools including neural networks (NNs) large language models (LLMs) and various embedding techniques for text images and videos. Additionally you will apply traditional ML methods such as XGBoost and linear models to enhance our systems. Youll be responsible for turning raw data into valuable signals and building ML systems endtoend. This includes the full ML lifecycle from training models to deploying them in production as well as contributing to the ML platforms these models rely on.
This opportunity is fully remote and does not require you to be located in any particular state within the US. We welcome applicants from throughout the US. Wed love to have you apply even if you dont feel you meet every single requirement in this posting. At Yelp were looking for great people not just those who simply check off all the boxes.
What youll do:
- Conduct endtoend 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 batchbased data products as well as models deployed to online realtime 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.
What it takes to succeed:
Experience developing and productionizing machine learning models particularly in neural networks and computer vision 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 Bachelors Degree or an equivalent work experience is required.
What youll get:
- Compensation range is $annually. Depending on your role and level 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 Yelps five star benefits here!
Closing
Required Experience:
Senior IC
Employment Type
Full-Time
