- You will help design and build the next iteration of processes to improve quality of Place attributes employing machine learning.
- You will maintain up-to-date knowledge of research activities in the general fields of machine learning and LLMs.
- Utilize machine learning algorithms/LLMs to generate translation/transliterations, standardization/derivation rules, extract place attributes such as name, address, category and hours of operations from web sites using web scraping solutions.
- Participate in both algorithm and software developments as a part of a scrum team, and contribute artifacts (software, white-paper, datasets) for project reviews and demos.
- Collaborate with internal and external team members (researchers and engineers) on expertly implementing the new features to the products or enhancing the existing features. With end-to-tend aspects like developing, testing, and deploying.
You are determined and have the following to be successful in the role:
- MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, Data Science, or others with an emphasis or thesis work on one or more of the following areas: statistics/science/engineering, data analysis, machine learning, LLMs
- 2+ years of experience in Data Science field.
- Proficient with at least one of the deep learning frameworks like Tensorflow, Keras and Pytorch.
- Programming experience with Python, shell script
- Applied statistics or experimentation (i.e. A/B testing, root cause analysis, etc)
- Unsupervised Machine learning methods (i.e. clustering, Bayesian, etc)
HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.
At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us. Watch Video
In this this position you will part of HERE’s Places Ingestion team, which is responsible for discovering Points Of Interest (Places) by processing large volumes of raw data from a variety of sources to improve the content coverage, accuracy, and freshness. You will be part of an energetic and dedicated team that works on challenging tasks in distributed processing of large data & streaming technologies. In addition to the technical challenges this position offers, you will have every opportunity to expand your career both technically and personally in this role.
