Fall 2024 AI/ML Co-Op/Intern at AMD
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WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ As a Co-op student, you can make an immediate contribution to AMD's next generation of technology innovations. We have a dynamic, high-energy work environment, filled with expert employees, and unique opportunities for developing your career. You will have the opportunity to connect with AMD leaders, receive one-on-one mentorship, attend amazing networking events and much more. With AMD, you can get hands-on experience that will give you a competitive edge in the workforce. Get a jumpstart on an exciting career - apply today! course. Fall 2024 Co-Op/ Intern - AI/ML LOCATION: Austin, TX ONSITE: This role requires the student to work from the Austin office throughout the duration of the Co-op/Intern term. First-time Co-ops/Interns should work full-time and onsite. PROGRAM TERM: This role is for the Fall 2024 Term: August 19, 2024 – Dec 13th, 2024 WHAT YOU’LL BE DOING: Collaborate with a hardware development team: understand their process, data, and problems. Identify innovative approaches based on ML/AI Develop software applications, tools, scripts as needed. Provide scalable solutions. KEY QUALIFICATIONS: Deep, solid knowledge/experience with Programming in Python Practical skills in scripting, matrix operations, csv files parsing and data frames, software development process. Familiarity with Machine-Learning frameworks (Scikit Learn, Keras, TensorFlow), is desired. WHAT WOULD SET YOU APART: Experience with tools and methods for data preparation, classification, regression, clustering, association rules mining and visualization is a plus Knowledge of Functional Verification, such as testbench, simulation, coverage, is a plus. WHO WE’RE LOOKING FOR: A successful candidate is expected to excel in analytical thinking, problem solving, organizing data, gathering requirements, planning and execution. Needs to be a self-starter who collaborates well with team members and customers alike to successfully drive tasks to completion. Working towards Masters or PhD in Electrical Engineering, Computer Science or Computer Engineering, or Equivalent BENEFITS: Healthcare coverage, dental and vision Paid holidays. Relocation stipend Education assistance for required Co-op/Intern course At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.