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Intern, Machine Learning Research Scientist

San Jose, California, United States

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To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. 

Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. 

We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.

What You’ll Learn

  • Project Overview:
    • This project focuses on the development of machine learning algorithms that advance research in multi-modal large language models.
  • Skills You’ll Learn:
    • Deep understanding of multi-modal large language models.
    • Hands-on algorithm development.
    • Collaborative research skills.

What You’ll Do

We are seeking a highly motivated research intern to join our team in developing cutting-edge machine learning algorithms for advancing the state-of-the-art multi-modal large language models. As a research intern, you will have the opportunity to work on solving a challenging problem in image generation and language understanding

Location: Working onsite at our San Jose office/headquarters at least 4 days per week on Monday - Thursday, with the flexibility to work remotely the remainder of your time

Reports to: Director of AI/ML Software Engineering

  • Develop algorithms to advance research in multi-modal large language models.
  • Implement and validate the algorithms in various scenarios and hardware environments.
  • Conduct a literature survey on related work.
  • Build baselines and related technologies for evaluation.
  • Prepare written reports and oral presentation on the progress.
  • Publish the algorithms and results in top-tier conferences in machine learning.
  • Complete other responsibilities as assigned.

What You Bring

  • Pursuing Ph.D. in computer science, electrical engineering, or related field.
  • Strong research experience in machine learning, computer vision, and/or natural language processing.
  • Experience in open-source deep learning frameworks such as PyTorch.
  • Experience in one or more of the following: multi-modal large language models, generative foundation models, image generation, image editing.
  • Publications in top-tier conferences (ICML, NeurIPS, ICLR, CVPR, etc.).
  • You’re inclusive, adapting your style to the situation and diverse global norms of our people.
  • An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
  • You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
  • Innovative and creative, you proactively explore new ideas and adapt quickly to change.

What We Offer
The pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role’s function and location, as well as the individual’s knowledge, skills, experience, education, and training. 

This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.

Relocation Support Live 50+ miles away from your new office? No worries! We'll provide a stipend to help support your move.
Housing Stipend Signing a lease on a new place for your summer internship? We'll help you pay your way with a monthly stipend.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Prioritize Emotional Wellness With on-demand apps and paid therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.

Hourly Base Pay Rate

$28 - $62 USD

Equal Opportunity Employment Policy 

Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.

When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.

Recruiting Agency Policy

We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.

Covid-19 Policy
To help keep our employees, customers, and communities safe, we’ve developed guidelines for our teams. Currently, we encourage vaccination for all employees and may require it depending on job functions (e.g., traveling for business, meeting with customers). While visiting our offices or attending team events, we ask employees to complete a daily health questionnaire and complete a weekly COVID test. Our COVID policies are subject to change depending on public health, regulatory and business circumstances. 

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