AI Researcher

Texas, United States of America

Job Family Group:

Research and Development

Worker Type:

Regular

Posting Start Date:

May 16, 2024

Business unit:

Projects and Technology

Experience Level:

Experienced Professionals

Job Description:

Make a difference

Do you like helping people? Do you like to make people smile? Are you passionate about putting people in a better place? Then you may have what it takes to join our amazing team?

Where you fit in

You will be responsible for innovation, concept development and productizing to AI/deep learning applications with direct business impact. More specifically, your role will include:

• Contribute to deep learning and AI projects by implementingAI algorithms, appraise new technology, and deliver on milestones

• Lead and co-develop technical proposals, research activities including design sprints, literature reviews, field research, and prototype building.

• Use innovative research to influence relevant products and partner teams across Shell, and to have company and societal impact

• Contribute to the portfolio of projects in your team; engage with all internal and external stakeholders

• Connect with vendors, universities, and other external entities to bring in new ideas and solutions

• Ability to collaborate with multiple engineering, product, and non-technical teams in a cross-functional environment

• Building constructive and trusting relationships with mostly business stakeholders

• Dealing with challenges in data acquisition from other parts of the business

What we need from you

When it comes to developing one of Shell’s forward-looking innovation programs, your strategic thinking, and strategic partnership development capability will make all the difference. You should have the capability to develop working relationships where you will connect the internal and external innovators, take up their innovations, and help to shape it into a robust product that is ready to generate commercial value.

• Must have legal authorization to work in the US on a full-time basis

• Master's or PhD degree in computer science, engineering, mathematics, theoretical science, statistics, or operational research with experience in large-scale parameterization AI and HPC computing

• Candidates for the position should have five (3) years’ work experience in applying latest AI methods to applied use cases using real data. This requires demonstration knowledge of:

  • Strong TensorFlow, PyTorch, or Keras experience

  • Knowledge of generative AI algorithms such as chatGPT

  • A mathematical background covering some subset of linear algebra, probability, multivariate calculus, geometry, and numerical methods will be invaluable

  • Hands-on code development (Python, Java, MATLAB, R,)

  • Experience using Git to manage models, and source code

  • Experience in Cloud stacks and architecture, such as Azure, AWS, etc. Comfort with some flavor of Unix shell environment (e.g., bash

• For this role we prefer a deep learning specialist with substantial experience working on images, timeseries, video material, optimization

• A problem-solving mindset and an enthusiasm for learning new skills

• Must have strong technical skills to develop advanced analytics algorithms/models.

• Awareness of lifecycle and data management is desirable

• Strong passion for experimentation and extensive experience in solving hard AI problems

• Experience in DL, DRL, aand generative AIapplications delivery in a corporate environment

• Proven examples of implementing experimental pipelines and prototyping AI applications

• Demonstrated people management and stakeholder engagement skills

• Solid professional software engineering skills

• You have a track record of value delivery

• Regularly following the scientific journals and regularly publishing in scientific journals

The base salary range for this position is $132,000- $198,000 per year.  Individual pay will be based on various factors, such as relevant work experience, education, certifications, skill level, seniority, and internal equity.     

For regular full-time or regular part-time employees of the Company (participating companies as listed in the Summary Plan Description), insurance coverage options include medical, dental, vision coverage, life Insurance, Business Travel Accident Insurance, and Occupational Accidental Death Benefit programs. Employees also participate in a company pension plan and a 401(k) plan. Paid leave includes up to 6 wee