What's the role?

HERE Navigation Assistant is AI-based service that leverages location intelligence and multi-LLM capabilities to enable users to natural human language to formulate complex location related queries and receive precise results.

As a Principal Software Engineer, you will be contributing into Research & Development activities of the HERE Navigation Assistant.

Your role encompasses the following responsibilities:

  • Innovative Research & Development: Lead and contribute to architecture design and development of the functionality aimed at enhancing the capabilities of the HERE Navigation Assistant. This includes developing new algorithms, models, and techniques to improve location intelligence and natural language processing.
  • System Architecture & Design: Design, develop, and optimize the architecture of the HERE Navigation Assistant to ensure scalability, reliability, and performance. Collaborate with cross-functional teams to integrate HERE Navigation Assistant into the various parts of the HERE product portfolio.
  • Algorithm Development: Develop and implement advanced algorithms for processing and interpreting complex location-related queries. Ensure these algorithms are efficient, accurate, and capable of providing precise results.
  • Data Analysis & Interpretation: Analyze large datasets to extract meaningful insights that can be used to improve the HERE Navigation Assistant. Utilize machine learning and statistical techniques to interpret data and inform decision-making processes.
  • Collaboration & Mentorship: Work closely with other engineers, data scientists, and product managers to drive the success of R&D projects. Provide mentorship and guidance to junior team members, fostering a culture of continuous learning and innovation.
  • Technical Documentation: Prepare comprehensive technical documentation for the algorithms, models, and systems developed. Ensure that all documentation is clear, detailed, and easy to understand.
  • Problem Solving & Troubleshooting: Identify and resolve complex technical issues related to the HERE Navigation Assistant. Employ strong problem-solving skills to address challenges quickly and effectively.
  • Stay Updated: Keep abreast of the latest advancements in AI, machine learning, and location intelligence technologies. Apply this knowledge to continually improve and innovate the HERE Navigation Assistant.

Who are you?

We are looking for a candidate with the following experience and skills:

  • Educational Background: A Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Extensive Experience: At least 8-10 years of experience in R&D roles, with a strong focus on AI, machine learning, and natural language processing. Experience in the navigation or location intelligence domain is highly desirable.
  • Technical Proficiency: Proficiency in programming languages such as Python, Java, or C++. Hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, or similar will be a benefit.
  • Algorithm Expertise: Demonstrated expertise in developing and optimizing algorithms for natural language processing and location intelligence. Proven ability to process and interpret large datasets.
  • System Design & Architecture: Strong experience in designing and developing scalable, reliable, and high-performance systems. Familiarity with cloud platforms and microservices architecture.
  • Problem-Solving Skills: Exceptional analytical and problem-solving skills. Ability to tackle complex technical challenges creatively and effectively.
  • Collaboration & Communication: Excellent collaboration skills, with a track record of working effectively in cross-functional teams. Strong written and verbal communication skills.
  • Mentorship: Experience in mentoring and guiding junior engineers and researchers. A passion for fostering a collaborative and innovative work environment.
  • Adaptability: Ability to stay updated with the latest technological advancements and apply this knowledge to drive continuous improvement.

If you are a passionate and innovative engineer with a deep understanding of AI and location intelligence, we would love to hear from you. Join us at HERE and contribute to shaping the future of navigation technology!

What we offer?

  • This role is eligible for Creative Tax Incentive scheme in Poland” or KUP (Autorskie Koszty Uzyskania Przychodu)

  • Work with cutting edge, modern technologies 
  • fantastic & talented people from 60+ countries worldwide, direct partnership with Berlin team  
  • flexible working hours   
  • a great work-life balance  
  • 25 paid vacation days
  • Meal Vouchers
  • Vision Support
  • Competitive salary plus bonus
  • Brown bag talks, team events and more!

Change is HERE. Apply Now!

#LI-MM3 #LI-REMOTE

As part of HERE Technologies employment process, candidates will be required to successfully complete a pre-employment screening process. This offer and any related claims are subject to the successful completion of a pre-employment screening. This will involve employment, education, and criminal verification if applicable.

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.

Who 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 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.

Location

Krakow, Poland

Job Overview
Job Posted:
1 week ago
Job Expires:
Job Type
Full Time

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