Machine Learning Engineer Intern: OPPO US Research Center, Palo Alto, CA. You’re an aspiring AI or facts technological know-how professional, this is your opportunity to step into the arena of innovation with OPPO. The Careers at Oppo portal has officially opened the Machine Learning Engineer Intern role for Summer Internships 2025 at their prestigious OPPO US Research Center in Palo Alto, California. This possibility is part of the particularly sought-after Summer Internships software, designed to offer modern reports in next-generation technologies.
- Role: Machine Learning Engineer Intern
- Company: OPPO US Research Center
- Location: Palo Alto, CA
- Salary: $30 – $60 an hour
- Work Type: Full-time, Internship
About Careers at Oppo
Founded in 2004, OPPO is a leading international smart device brand that has made giant strides in the consumer electronics and cellular era. With a presence in over 60 nations and areas, OPPO is devoted to handing over tech-ahead, customer-centric experiences. The agency is known for its pioneering efforts in 5G, AI, imaging, and cell innovation, making it a hotbed for tech abilities. The Careers at OPPO US Research Center in Palo Alto play an essential function in advancing OPPO’s global project by specializing in next-gen research in AI, system mastering, and computational photography.
Job Description: Machine Learning Engineer Intern
As a Machine Learning Engineer Intern, you may be immersed in a collaborative study and improvement putting. You’ll contribute to the high-impact device by gaining knowledge of initiatives that align with OPPO’s strategic goals in AI innovation. This Summer Internships function offers a full-time schedule and aggressive hourly pay ranging from $30 to $60 in keeping with hour. It is an opportunity to build meaningful revenue while at the same time running with the present-day system and technology in one of the maximum dynamic tech hubs in the U.S.
Key Responsibilities
- Assist in the layout, improvement, and implementation of device mastering models and algorithms.
- Collaborate with data scientists and research engineers to resolve complex AI troubles.
- Collect, way, and look at huge datasets for version control and evaluation.
- Conduct literature reviews to stay up to date with the present-day ML techniques and systems.
- Optimize and validate models for performance and scalability.
- Document code, models, and effects to ensure reproducibility and understanding, and sharing.
Key Skills Required
- Proficiency in Python and gadget studying libraries, together with TensorFlow, PyTorch, Scikit-learn
- Solid information on algorithms, information systems, and software program engineering requirements
- Familiarity with NLP, pc imagination and prescience, or time series analysis is a plus.
- Experience with cloud structures (AWS, GCP, or Azure) is highly valued
- Excellent communication and teamwork talents
- Ability to work independently and control more than one obligation effectively
Education and Qualification
- Currently pursuing a Master’s or PhD in Computer Science, Electrical Engineering, Data Science, or a related subject..
- Strong academic historical past in device gaining knowledge of, records, or artificial intelligence
- Prior coursework or tasks in AI or deep learning frameworks are substantially desired.
- A portfolio or GitHub repository showcasing ML-related artwork can be a bonus.
Experience Requirements
- At least 1 year of experience in running with gadgets, gaining knowledge of fashions (together with instructional or research tasks)
- Internship or co-op revel in in a tech enterprise corporation is good but not obligatory.
- Publications or conference papers in device studies can be considered a plus
Job Location
- Palo Alto, California
- Located inside the heart of Silicon Valley, this place offers proximity to essential tech groups and a vibrant innovation environment.
Benefits of Working at OPPO (Internship Perks)
- Competitive hourly pay beginning from $30 to $60 in keeping with hour
- Real-global R&D reveals a high-tech environment
- Work alongside top-tier engineers and AI researchers
- Exposure to advanced technology and tools
- Opportunities to present papers and gift findings
- Access to mentorship from enterprise professionals
- Networking possibilities with experts in the departments
- Modern, collaborative office region in Silicon Valley
- Flexible running hours with some far-off options
- Potential pathway to full-time employment after graduation
How To Apply: Click on the Apply Link Below⇓
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