Data Science Intern

What's the role?
We are looking for an intern with strong background in Computer Science and Machine Learning to join the Places team. The candidate must have prior experience in developing and testing machine learning or statistical projects. Also, the candidate must have a strong background in NLP ( Natural Language Processing), Hugging Face transformer models and prompt engineering. Experience in web scraping, SQL/Athena and AWS is a plus. In addition, the candidate must be able to work effectively in a multidisciplinary team environment focused on innovation and be able to learn and integrate complementary technologies outside their specific area of expertise.
What You'll 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

Responsibilities

• Work with Senior Data Scientists to develop proof of concepts, minimum viable products, and fully deployable solutions
• Take ownership for the data science workflow including exploratory data analysis, model development, and potentially deployment
• Participate in design discussions and code reviews of your work.
• Evaluate model performance and contribute to optimization efforts, ensuring that our NLP solutions meet high standards of accuracy and efficiency.
• Participate in agile scrum ceremonies like daily standup, sprint planning, sprint review and retrospective.
• Presenting and demonstrating your work to co-workers

Who are you?

• Strong programming skills in Python and proficiency in data manipulation libraries (e.g., Pandas) and machine learning frameworks (e.g., scikit-learn).
• Solid understanding of the PyTorch and Tensorflow ecosystem.
• Utilize state-of-the-art transformer-based models such as BERT, GPT, or other variants to solve natural language processing (NLP) tasks.
• Build and deploy machine learning models using Docker containers to ensure consistency and reproducibility across different environments.
• Optimize deep learning models using Nvidia CUDA libraries to accelerate computation on GPU hardware.
• Experience developing and testing machine learning or statistical projects, with strong background in supervised, unsupervised, semi-supervised and reinforcement learning algorithms and modelling.
• Demonstrate expertise in prompt engineering methodologies to fine-tune and optimize language models for specific tasks and domains, ensuring improved performance and efficiency.
• Excellent communication skills, both written and verbal.

Preferred Qualifications:

• Familiarity with web scraping tools and techniques to gather data from diverse online sources.

• Strong SQL/Athena skills
• Experience working with AWS + Experience working with Hadoop and other distributed
• Strong data visualization skills
• Experience in a software development environment and code management or versioning
• Experience working with continuous integration and delivery (CI/CD) pipelines

This is a full-time paid internship (20 to 40 hours per week) with a fixed hourly rate of depending on your level of education as follows:
Undergraduate Students: $25/hr
Graduate Students: $30/hr
PhD Students: $35/hr
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 and retirement savings plans.
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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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.