ML Engineer

The job includes all parts of software development lifecycle: refining product vision, gathering requirements, software system design, coding, testing, release and support. As our team is spread around the globe, you will work collaboratively with other team members from different locations. 

• Work with large datasets to clean, preprocess, and transform data for modeling.
• Implement, test, and maintain ML pipelines using tools like TensorFlow or PyTorch
• Monitor model performance and assist in retraining or tuning models as needed.
• Implement tools to enhance both automated and semi-automated map data processing, involving backend/service-based software stack and front-end visualization components for big data analysis
• Apply and extend CI/CD tools and execute end-2-end ownership of your developed software, including DevOps and Testing
• Work closely with other full stack and frontend engineers on the team to de/-refine APIs and system integrations 
• Work with other engineering teams and internal customers to identify new opportunities, address critical needs and solve complex problems using your backend development expertise.
• Become an expert at leveraging internal platform resources and APIs
• Working in the AWS cloud computing environment.

• Bachelor’s degree in Computer Science, Data Science, Applied Mathematics, or a related field (or equivalent experience).
• Basic understanding of machine learning algorithms (regression, classification, clustering, etc.).
• Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Plotly).
• Strong expertise in Relational Databases (Oracle, MySQL) and SQL performance optimization
• Hands-on experience with NoSQL databases like MongoDB
• Proficient in ETL system design using Hadoop, Spark, and Amazon EMR
• Cloud & Big Data Ecosystem :Spark, Kafka, Apache Storm ,Hive, HDFS,Apache Airflow
• Extensive experience with AWS services: S3, Glue, EMR
• CI/CD experience with tools like Jenkins, Git, and Gerrit

The expected base salary range for this position is $73,500 to $105,000 per year. Actual compensation will be based on factors such as skills and experience. 

This position is also eligible for a target annual performance bonus, which is subject to company and individual performance.

Life at HERE comes with generous benefits to support your health and overall wellness. Benefits available to US-based HERE employees include health (Medical/Dental/Vision) insurance, retirement savings plans, paid time off & leave policies. 

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, HERE will consider for employment qualified applicants with arrest and conviction records.

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.

Under Section 503 of the Rehabilitation Act of 1973 and VEVRAA, we have developed an affirmative action program (AAP) for individuals with disabilities and protected veterans. Portions of the AAP are available for review by applicants and employees through our People Team.

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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 on our YouTube Channel.