Intern Applied Scientist, ML

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

Intern Applied Scientist, Machine Learning
1 year minimum - full time/part time - based in Netanya - hybrid work model

Are you a passionate Master’s/Ph.D. student with a strong background in machine learning and data science? Are you experienced in deep learning and eager to apply your skills in a real-world production environment? Look no further! eBay R&D center in Israel is currently seeking hard working interns to join our team for a full year internship.

In the R&D center in Israel we specialize in solving sophisticated problems related to search, recommendation, ontologies, and big data; and in developing innovative solutions that have a real impact on many users across the globe. Our team is composed of industry experts, researchers, and engineers who are dedicated to pushing the boundaries of what's possible.

What you will accomplish:
Unique opportunity to work with real data.
Experience a live production environment.
Solve exciting and interesting problems.
Collaborate closely with a team of experts, from which you will gain invaluable skills and insights
Receive guidance and mentorship throughout the internship.
Hands-on experience to apply theoretical knowledge to practical scenarios.

What you will bring:
Currently pursuing a Ph.D. or M.Sc. in a relevant field (e.g., computer science, machine learning, data science, and related fields)
Background and expertise in machine learning and data science
Experience with deep learning frameworks and algorithms
Proficiency in programming languages especially Python
Excellent problem-solving skills and ability to think critically
Strong communication and teamwork abilities
Writing abilities

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