Intern, Machine Learning Engineer - PEFT

2 Months ago • Upto 1 Years • Research & Development • $28,000 PA - $62,000 PA

Job Summary

Job Description

This internship focuses on developing cutting-edge Parameter Efficient Fine Tuning (PEFT) methods for Large Time Series Models (LTM) and Large Vision Models (LVM) used in Samsung factories for anomaly detection, classification, and segmentation. The intern will apply and improve existing SOTA PEFT methods like LoRA and SoRA, contributing to improved production yield. Responsibilities include algorithm development using Python, PyTorch, and CUDA, testing PEFT methods on LTMs and LVMs, and presenting findings. The internship is a 12-week, on-site position in San Jose, CA, requiring strong Python and PyTorch skills, experience with large Deep Learning models, and preferably prior experience with LLMs or Vision Transformers.
Must have:
  • Masters or PhD in CS/EE or related field
  • Python 3 & PyTorch proficiency
  • Experience with large Deep Learning models
  • Algorithm development & testing
  • Presentation & documentation skills
Good to have:
  • Experience with LLMs, Vision Transformers, Time Series models
  • Publications in top-tier AI/ML conferences
Perks:
  • Relocation Support
  • Housing Stipend
  • Charitable Giving Match
  • Paid Therapy Sessions
  • Onsite Cafe & Gym
  • Flexible Environment

Job Details

Please Note:

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: In this internship, the candidate will develop SOTA Parameter Efficient Fine Tuning (PEFT) methods and demonstrate them to work for both time series and computer vision foundation models
  • Skills You’ll Learn:
    • Algorithm development for PEFT methods
    • Test PEFT methods on Time series foundation models
    • Test PEFT methods on Computer Vision foundation models

What You’ll Do

The team (SDAL) is involved in developing Deep Learning Foundation Models and applying them in Samsung factories for problems related to anomaly detection, classification, segmentation, etc. More specifically, the interest is on two projects: (1) Large Time Series Model (LTM) and (2) Large Vision Model (LVM). The intern will be involved in both projects and will develop novel Parameter Efficient Fine Tuning (PEFT) methods, and demonstrate them to work efficiently on both projects. This will involve applying existing SOTA PEFT methods such as LoRA, SoRA, and to also improve them with novel developments. 

Location: Onsite at our San Jose, CA headquarters 5 days a week

Reports to: Sr. Staff Machine Learning Engineer

  • Develop PEFT methods and demonstrate them to work efficiently in foundation models
  • Apply PEFT methods to Large Time Series Models (LTM) and Large Vision Models (LVM)
  • Demonstrate these algorithms to work efficiently for anomaly detection, classification and segmentation and achieve pre-defined project KPIs. These algorithms will later be applied in Samsung’s factory in Korea and will help in improving the yield of production
  • Collaborate with 3-4 other engineers at Samsung SSI’s San Jose, CA campus and the work will involve 5 days per week on-site
  • Algorithm development using Python 3, PyTorch, CUDA, etc.
  • Presentation and documentation of work at end of internship period (12 weeks) 
  • Complete other responsibilities as assigned

What You Bring

  • Pursuing Masters or PhD in Computer Science or Electrical Engineering preferred; other closely-related areas will also be considered
  • Must have at least 1 academic quarter or semester remaining
  • Good working knowledge of Python 3 and Pytorch required
  • Prior experience with training and evaluation of large Deep Learning models such as Transformers required
  • Prior experience in LLMs, Vision Transformers, Time Series models or other foundation models preferred
  • Prior publications in top-tier AI/ML conferences such as NeurIPS/CVPR/ICLR/ICML preferred
  • 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

#LI-AD1

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 team. 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. 

Applicant Privacy Policy
https://semiconductor.samsung.com/us/careers/privacy

 

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