General Motors

Intern - Large Language Models

General Motors

Austin, TX, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Welcome to General Motors, one of the world's leading automotive companies. We are currently seeking a highly motivated and ambitious Intern to join our team as a Large Language Models Intern. In this role, you will have the opportunity to work with cutting-edge technology and contribute to the development of our next generation of vehicles. We are looking for someone who is passionate about language models and eager to learn and grow in a fast-paced environment. If you have a strong academic background, excellent communication skills, and a keen interest in the automotive industry, we want to hear from you!

  1. Conduct research and stay updated on the latest advancements in large language models in order to contribute to the development of innovative solutions for our next generation vehicles.
  2. Collaborate with a team of engineers and researchers to develop and improve upon existing language models.
  3. Assist in the design and implementation of experiments to evaluate the performance of language models.
  4. Analyze data and provide insights to help guide the development of language models.
  5. Assist in the development and maintenance of tools and resources to support the use of large language models in the automotive industry.
  6. Attend team meetings and provide updates on progress and findings.
  7. Communicate effectively with team members and stakeholders to share ideas and gather feedback.
  8. Take ownership of assigned tasks and ensure timely completion.
  9. Proactively identify areas for improvement and suggest solutions.
  10. Follow company policies, procedures, and safety protocols at all times.
  11. Represent General Motors in a professional and positive manner at all times.
  12. Continuously learn and develop new skills to enhance performance in the role.
Where is this job?
This job is located at Austin, TX, USA
Job Qualifications
  • Strong Background In Natural Language Processing And Machine Learning Techniques, Including Experience With Large Language Models Such As Gpt-3.

  • Proficiency In Programming Languages Commonly Used In Data Analysis, Such As Python, R, And Sql.

  • Familiarity With Data Visualization Tools And Techniques, Such As Tableau Or Power Bi.

  • Excellent Communication Skills, With The Ability To Present Complex Technical Concepts To Non-Technical Stakeholders.

  • Prior Experience Working In A Corporate Setting Or On Large-Scale Projects, Preferably In The Automotive Industry.

Required Skills
  • Data Analysis

  • Machine Learning

  • Deep Learning

  • Natural language processing

  • Algorithm development

  • Statistical modeling

  • Sentiment analysis

  • Neural Networks

  • Text Classification

  • Text Generation

  • Pre-Training

Soft Skills
  • Communication

  • Conflict Resolution

  • Emotional Intelligence

  • Leadership

  • Time management

  • creativity

  • Teamwork

  • Adaptability

  • Problem-Solving

  • Decision-making

Compensation

According to JobzMall, the average salary range for a Intern - Large Language Models in Austin, TX, USA is $60,000 - $80,000 per year. This can vary depending on factors such as the specific company, the candidate's qualifications and experience, and the job responsibilities. Some companies may offer additional benefits and perks, such as housing or transportation allowances, which can impact the overall salary. Additionally, the salary range may also be influenced by the cost of living in Austin compared to other cities.

Additional Information
General Motors is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedJanuary 4th, 2024
Apply BeforeMay 22nd, 2025
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