Job Description

What's the role?Your role will be to further develop and deploy machine learning based algorithms to launch 3-4 revenue and quality enhancing opportunities within 2023. This role is focused specifically on driving growth and not sustaining mature products. Python is the language of machine learning, and you are expected to be proficient in both functional and object-oriented approaches available in python. You will work with Masters and Ph.D. level data scientists implementing algorithms designed to identify anomalies in DSC data, products, and services involving statistical methods enabled by ML algorithms. In some of the efforts, the algorithms will be able to suggest corrections that enhance product content. Additional identified solutions will enable new analytical products leveraging insight gained from vehicle movements, such as trips data, intersection analysis, EV range and charging duration analytics, POI activity, router ETA quality, and contextual traffic patterns.To accomplish these goals, your main responsibilities will include:

• Collaborate with data scientists to design and implement processes that conflate HEREs data sets (map content with both traffic centric location referencing and POI datasets location referencing, dynamic positioning data involving vehicle trajectories referenced to geographic coordinate systems, vehicle centric sensor data indicating various performance parameters such as range or charge state, POI centric data such as CP availability, capacity, and similar parameters). Identify gaps in the current data and propose solutions to alleviate/eliminate the issues.
• Follow HERE coding design principles, use HEREs toolchains for code repositories, build processes and CI/CD methods.
• Work in the AWS cloud environment for ML toolchains and within the HERE platform for sourcing common HERE catalogs/datasets and for publishing the data/insights gained from these products. Define the interfaces and methods for optimal cost/efficiency between the different realms.
• Use of best practices for partitioning processing steps that ensure security and privacy mandates achieved, including audit trails, where required.
• Leverage resource tracking tools to support profitability goals.
• Develop processing pipelines for efficient PoC development efforts (occasional processing, ability to start-up/take down on demand for new feature development while keeping costs low), that can be modified for processing at scale as the algorithms are moved to production (highly efficient demand-based scaling, support uptime targets/recovery SLAs).
• Devote a portion of your time to researching and identifying emerging ML/data lake SW solutions and how they can be employed for HEREs benefit.
• Partition workstreams across multiple developers.

Who are you?Bachelors Degree in Engineering Or Masters degree in Computer Science, Mathematics, Engineering, Physics, or related fields.

• Proficient in python, Scikit-learn/TensorFlow, python package management, including private package development, memory profiling.
• Experience with Big datasets on the Terabytes level.
• Familiar with AWS S3/EC2/EMR/ECS/Glue service and development.
• Knowledge of data mining and data analytic methods.
• Statistical analysis packages.
• An ability to work on multiple projects at different levels of maturity.
• Be able to work both independently and collaboratively depending on the complexity of the solution.

What Youll Get:

• Challenging problems to solve
• Opportunities to learn cool new things
• Work that makes a difference in the world
• Freedom to decide how to perform your work
• Variety in the types of projects
• Feedback so you will know how well you are doing
• Collaborative, Supportive Colleagues

HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.YOUR CHANGE IS HEREWho are we?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 peoples lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on ourThe Machine Learning team in HEREs Dynamic & Spatial Content Business Unit has identified a number of promising business growth and content quality improvement opportunities in our organization. We are leveraging HEREs extensive map content, vehicle centric sensor and probe data, and emerging EV technologies to develop greenfield solutions focused on expanding our portfolio of products and services along with continued quality enhancements to our existing products. In order to accelerate the implementation of these activities, we are expanding our team with senior software engineers to complement our current development efforts.

HERE Technologies