Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

Samsung SDS America AI Scientist in San Jose, California

Company Overview:

Samsung SDS is the digital arm of the Samsung group and a global provider of cloud and digital transformation innovations. Samsung SDS delivers enterprise-grade solutions and services in cloud, secure mobility, analytics / AI, digital marketing and digital workspace. We enable our customers in government, financial services, healthcare, and other industries to drive business in a hyper-connected economy helping them to increase productivity, safeguard assets, and make smarter decisions.

Samsung SDSA Research is at the forefront of innovation in creating intelligent and interactive machines. Samsung’s perspective on Artificial Intelligence is to build an ecosystem that is user-centric rather than device-centric. We work on distributed deep learning at scale across hundreds of GPU nodes to accelerate and automate deep learning workflows in a Kubernetes environment – on premises and in the cloud. We specialize in making deep neural networks work best on GPU High Performance Computing clusters; we love to work on scaling, breakthrough performance and record shattering benchmarks.

Position Overview:

We are seeking an artificial intelligence (AI) scientist with at least 2 years of professional experience to develop AI/ML models that can be applied in solving business problems. The candidate must be capable of researching and developing AI algorithms to process and interpret structured and non-structured data. Ability to communicate with non-technical audiences to elicit requirements and summarize findings is required.

We are extremely collaborative with very good team dynamics. We constantly keep up to date with the latest AI technologies and very quick to adopting these as long as they are relevant to our products. In a nutshell, we do applied R&D in AI with a clear focus on productization of AI.

Responsibilities:

  • Explore and evaluate cutting-edge AI/ML technologies to determine suitable technical approaches

  • Generate innovative technical concepts in the AI/ML field, conduct experiments for validation, and document findings in technical reports or publications

  • Design, implement, and optimize models using mainstream AI/ML frameworks

  • Create prototypes of AI solutions through training, validation, and testing processes

  • Define procedures for obtaining data, ensuring validity and accuracy

  • Collaborate with cross-functional team to elicit model requirements

  • Ensure compliance with data privacy and security regulations in all AI projects

  • Stay updated on industry trends, best practices, and emerging technologies in AI and machine learning

Requirements

  • 2+ years’ of professional experience as AI Scientist

  • Ph.D. degree in Computer Science, Engineering, Mathematics, Statistics or related field

  • Knowledge of modern theory and algorithms in the areas of AI, statistical machine learning, and deep learning

  • Experience with modern Deep Learning architectures

  • Experience and knowledge of natural language processing (NLP) applications OR experience and knowledge of computer vision applications

  • Hands-on experience with Transformer based models for NLP, computer vision, and multi-modal AI is a plus

  • Experience with Python and/or C++ programming languages

  • Experience with AI/ML frameworks such as PyTorch or TensorFlow

  • Hands-on experience with data modeling and analysis

  • Strong analytical and algorithmic problem-solving skills

  • Strong publication record in the mentioned technical areas in widely read publications

Benefits

Samsung SDSA offers a comprehensive suite of programs to support our employees:

  • Top-notch medical, dental, vision and prescription coverage

  • Wellness program

  • Parental leave

  • 401K match and savings plan

  • Flexible spending accounts

  • Life insurance

  • Paid Holidays

  • Paid Time off

  • Additional benefits

Samsung SDS America, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, status as a protected veteran, marital status, genetic information, medical condition, or any other characteristic protected by law.

We are committed to providing reasonable accommodations to participate in the job application or interview process for candidates with disabilities. If you need assistance and/or a reasonable accommodation, please send your request to this e-mail. (rar-request@samsung.com)

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