What are the responsibilities and job description for the Junior Machine Learning Engineer (Trust and Safety) (Remote - Ireland) position at Karkidi?
Are you intrigued by data? Yelp has hundreds of millions of pieces of user-contributed content, millions of users and business listings, and hundreds of thousands of advertising customers – and all of these numbers are constantly growing. Making sense of this data, deducing relationships between variables, and figuring out different interactions is hard work, but these insights are hugely impactful to Yelp’s business.
The Trust & Safety team at Yelp focuses on surfacing high-quality content that reflects authentic experiences generated by real Yelpers who are engaged with the community. We invest heavily in ML models and infrastructure to detect and understand content spam on our platform.
As an engineer on our team, you’d be helping our users, every day, to make trustworthy connections with great local businesses, by deciding where to eat, which mover to call, or best places to visit in a new city. Yelp’s mission of connecting people with great local businesses requires the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) to scale across a vast and diverse base of users and businesses spanning various geographical locations. As an ML engineer, you will have the opportunity to foster these connections across millions of users and business listings using cutting-edge industry tools such as neural networks (NNs), large language models (LLMs), and traditional ML methods like XGBoost or linear models.
This opportunity requires you to be located in the Republic of Ireland. We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.
What you'll do :
- Responsible for turning raw data into valuable signals and building the ML system end-to-end.
- Involved with the full ML lifecycle from training models to deploying them in production.
- Conduct analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
- Productionize and automate model pipelines within Python services.
- Drive and advocate adoption of best practices in MLOps (Machine Learning Operations).
What it takes to succeed :
What you'll get :
Closing
Yelp values diversity. We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.
Note : Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.
J-18808-Ljbffr
