Gen AI/LLM Specialist Intern null

About Intel

Intel is a renowned semiconductor manufacturer, powering innovative computing solutions worldwide. Their cutting-edge technologies drive advancements in artificial intelligence, data centers, and the Internet of Things. With a rich history of delivering high-performance processors and a commitment to technological excellence, Intel remains a driving force in shaping the digital future.

Your role

Inside this Business Group:

Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. The developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.

Job description:

Intel requires interns to assist in the validation and benchmarking of Gen AI/LLM models and GenOps frameworks on Intel's latest hardware. This role presents an opportunity to accelerate customer integration and promote broader awareness and adoption. This will be achieved by improving existing frameworks or developing new ones, specifically optimized for Intel Hardware. Responsibilities may be quite diverse of a software technical nature. Experience and education requirements will vary significantly depending on the unique needs of the job. Job assignments are usually for the summer or short periods during breaks from school.

Training & development

Intel offers its employees extensive training & development opportunities, empowering them to enhance their skills and excel in their careers. With access to cutting-edge resources and mentorship programs, employees can participate in various training sessions to stay ahead in a fast-paced tech environment. Intel's commitment to fostering continuous growth and learning enables its workforce to drive innovation and make a meaningful impact on the world.

Benefits

Intel offers a total compensation package that ranks among the best in the industry. It consists of:

• Competitive pay
• Stock
• Bonuses
• Benefit programs include health, retirement, and vacation

Career progression

Intel encourages career growth by providing opportunities to try new things, work on diverse projects, and even explore international assignments, fostering a culture of continuous learning. The skills and experiences gained through internships at Intel can unlock doors to new job prospects.

Work-life balance

Intel offers diverse work arrangements, including compressed workweeks, flextime, telecommuting, and part-time/job-share roles, fostering work-life balance. This role will be eligible for the hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances, the work model may change to accommodate business needs.

Culture & vibe

At Intel, employees enjoy a diverse work-life balance, supported by an employee-friendly environment. It thrives as a leader in the industry, offering cutting-edge technology and serving as a great learning hub for individuals at all levels. Continuous learning is fostered, accompanied by strong team bonding, creating an extraordinary work experience.

About you

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Relevant experience can be obtained through schoolwork classes projects work internships and/or work experience.

Qualifications:

• MS in computer science, specializing in LLM, AI, Deep Learning, and Machine Learning.
• Strong understanding and experience with fine-tuning and Pre-Training.
• Proficient in LLM inferences and optimization.
• Solid knowledge and experience with Python and Ray.
• Experience with Vector DB and LLM Orchestration frameworks.
• Ability to develop and apply software engineering methods to solve technical problems.
• Capable of working effectively in a self-organized agile team.
• Constantly seeking improvement and providing supportive documentation.
• Participates in agile ceremonies and code reviews with other team members.
• Knowledgeable in the Linux operating system, CPU, and GPU.
• Experience with CI/CD and DevOps solutions.
• Experience with Kubernetes (k8s) is an added advantage.
• Contributions to open-source projects are an added advantage.

Sources

The following sources were used in researching this page:

• jobs.intel.com/en
• youtube.com/@Intel