Engineer - AI Software Tools

Lab Summary:

The Development QA(DQA) lab in Mountain View has a dual role that is first to research new automation tools as well as take current tools and refine them to our needs. Second, act as a centralized QA group to provide quality assessment by creating comprehensive E2E test strategy for various Endpoint security solution developed.

This duality provides a unique opportunity to explore new concepts in different technologies and perform original research and tool development in quality domain.

Position Summary:

We are looking for an AI engineer that will research, develop, and deploy Gen AI software test tools for QA team.

In this role, you will build powerful automatic tools using Gen AI that will improve the efficiency of everyday QA procedures. You will use the State-of-the-Art(SOTA) techniques to design the prompt, fine-tune the model and build full AI applications. You will collaborate with QA and product teams and use your expertise to bring AI influence on QA landscape.

Our ideal candidate is a creative thinker and an excellent communicator who is comfortable working in a demanding, fast-paced environment and deep understanding of Gen AI and finetuning LLM’s. If you have a passion for Gen AI and a strong understanding of the latest technologies, we want to hear from you!

Position Responsibilities:

• Research, Develop &Deploy Gen AI software test tools for QA team
• Design and test prompts for LLMs
• Develop the test guidelines for ML model evaluation
• Use the State-of-the-Art(SOTA) techniques for finetuning the models
• Collaborate with DQA and Product teams to enhance the existing Gen AI tools
• Takes ownership/responsibility for the product quality during monthly/quarterly releases

Required Skills:

• Bachelor’s degree in computer science or equivalent combination of education, training, and experience
• 1+ years of experience with Finetuning AI systems and Large Language Models (LLM)
• 1+ years of experience with one of the AI/ML frameworks like PyTorch, TensorFlow or Teras
• Deep understanding of deep learning frameworks and generative AI techniques.
• Excellent programming skills in Python
• Strong command on Algorithms and Data Structures
• Experience with computer vision is a plus

Our total rewards programs are designed to motivate and engage exceptional talent. The base pay range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the base pay range, individual 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 part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well.Base Pay Range$126,200—$173,450 USD

Additional Information

Be careful not to disclose information related to the trade secrets of your previous or current employer(s)

Essential Job Functions

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.

Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email sratalent@samsung.com.

Affirmative Action / Equal Opportunity

Samsung Research America is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or status as a protected veteran.

For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to the links below.

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