Senior Full-Stack Engineer

*At present, due to COVID 19, all employees are working from home/remote at this time.*

Who We Are:

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. 

Our Mission:

To actively connect people to their next great opportunity. At ZipRecruiter, we foster a culture where our employees feel accepted, supported and celebrated. Our employees find ethical solutions to empower the community and workforce. Differences make us stronger, and we embrace them. 

Summary of Job:

At ZipRecruiter, we harness algorithms, machine learning and deep learning models to solve various matching, recommendations, search, NLP and general inference problems, all aimed to find the best matches between job seekers and jobs.

As part of the ML workflow, human-created datasets and semantic data models (taxonomies) are used to train, test, measure, and compare ML models. As a Developer on the Human-Labeled Datasets team, you will help create and adopt the best tools and processes in order to enhance our human data curation effort. You will find and customize existing tools, as well as design and implement new ones, to visualize and store human labelled datasets and taxonomies, and support automation and monitoring of data quality improvement.

Key Focuses:

• Support all human labeling tasks from start to end, including:
• Partnering with product managers, engineers and data scientists across the company to address their needs for human-labeled data sets
• Working with them to define and scope the projects you will help lead
• Query, format, and store datasets
• Monitoring labelling progress and reporting on data quality
• Researching and evaluating new tools
• Develop (or customize existing) applications for data labeling and content management, with an emphasis on user friendly interfaces for enhanced labeling quality and labeler efficiency
• Design and implement processes for data and labeling quality monitoring
• Perform yourself some manual labeling / data quality evaluation tasks 
• Get familiar with our proprietary data, semantic structures, data flows and use cases

You will be a good fit for this team if you:

• Enjoy collaborating with stakeholders, both within your team and on partner teams
• Have a strong ownership mentality, and enjoy taking projects from conception to completion
• Want exposure to new disciplines and technologies and are willing to apply them on the job
• Are eager to get your hands dirty with data
• Interested in NLP and Semantic Technology (Ontologies and Knowledge Graphs driven ML)

Qualifications:

• Experienced with Python (or other scripting languages) and front-end development (Javascript, HTML, Angular/React.js, CSS)
• Proficient in data manipulation and basic analysis with SQL 
• Strong command of English
• Bachelor's degree and 2 years of relevant experience, or a combination of education and relevant experience.
• A plus: Kubernetes, Docker, Notebooks, Airflow, Amazon SageMaker, Go, JVM Languages (Java, Scala) 

As part of our team you’ll enjoy:

• Competitive salary
• Exceptional benefits package

Category: Computer/Software

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