AI Researcher
ShellAbout the role
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What’s the role
Shell is seeking an AI Researcher to join their team in Houston, TX.
As an innovation organization, we maintain a portfolio of digital projects driven by applied research, new product innovation, product contribution and infrastructure goals. As an AI Researcher, you will setup large-scale experiments and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating proof of concepts and prototyping implementations to designing new architectures, our AI Researchers work on real-world problems that span the breadth of various lines of business. As an AI Researcher, you'll also actively contribute to the wider data and AI community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with strategic partners, universities, and technical institutes all over the world.
You will be responsible for innovation, concept development and productizing to AI/deep learning applications with direct business impact. More specifically, responsibilities in your role includes:
Expected to be technical lead on deep learning and AI projects
Develop technical proposals and research activities for applied AI across Shell’s businesses
Consult stakeholders in technical feasibility/data quality/models for their problems
Use innovative research to develop novel technologies from ideation to deployment
Drive solutions to commercial value, and collect feedback from end-users
Design novel AI algorithms and incorporate emerging AI technologies into our applications
Engage with internal and external stakeholders (partners/universities), and communicate technical approaches/results to a general audience
Analyze real-world engineering & scientific datasets, and explore their use for AI solutions
Implement and optimize data I/O pipelines and training/inference scripts
Help mentor junior AI researchers on technical aspects in AI
What you bring
Must have legal authorization to work in the US on a full-time basis for anyone other than current employer
Master's or Ph.D in computer science, engineering, mathematics, theoretical science, statistics, or a related scientific discipline
5+ years of experience in AI related domains
Experience in TensorFlow, PyTorch, or Keras
Experience as a technical lead in an AI-focused project
Proven examples of implementing experimental pipelines and prototyping AI applications
Awareness of lifecycle and data management
A mathematical background covering some subset of linear algebra, probability, multivariate calculus, geometry, and/or numerical methods
Hands-on code development (Python, Java, MATLAB, R,) and software development skills
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 such as bash
Regular publications in scientific journals
What we offer
The base salary range for this position is $134,000 - $202,000 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 weeks of paid vacation time, up to 11 paid holidays, and parental leave offering 16 weeks of paid leave for birthing parents, and 8 weeks of paid leave for non-birthing parents.
Additionally, employees are eligible for short-term disability leave for up to 26 weeks at 100% or 50% of base pay as well as Long-Term Disability insurance. Shell also offers other compensation such financial reimbursement for adoption, wellness, education, and personal learning expenses, a
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