EMTEC MODS - PhD Students Seeking Full-Time Opportunity

About us

At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future.  As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people.  They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. 

We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about  our What and our Why and how we can work together.

ExxonMobil is based out of the Houston Area in Spring, Texas. We are accepting applications for recent and upcoming university graduates for full-time engineering opportunies across the U.S. 
 

What you will do

We are looking to hire candidates to work on challenging technology and engineering problems that span oil and gas exploration & production, chemicals/fuels/lubricants products and low carbon solutions. A successful candidate would understand a business problem (both commercially and technically), translate it into a computational, data science or machine learning problem and apply engineering, numerical, data science and programming skills to tackle it. The Machine Learning Engineer will work as part of a team to design, develop, deploy and sustain data science solutions that are scalable, reproducible and with commercial-grade quality.

What role you will play in the team

• Applies software development practices, DevOps skills and Machine Learning (ML) techniques to orchestrate an end-to-end machine learning workflow that effectively brings ML models to production.
• Participates in scoping of deployment of new data science solutions and implements the appropriate solution design.
• Sustain data science solutions by enabling continuous ML model and/or service performance monitoring, training, and re-training of models, including the implementation of proactive alerting methods.
• Works effectively with computational scientists, data scientists, engineers, software developers, and domain experts across the globe to develop and apply computational and data science solutions in support of our business.
   

About You

Required Skills/Qualifications

• Bachelor’s degree from a recognized university in Computer Science, IT, Applied Mathematics, Engineering or related disciplines.
• Specialization (education and/or work experience) in data science, data engineering or machine learning
• Competent to expert level programming experience in C/C++/Python 
• Strong foundation in application design
• Experience with refactoring legacy code and leveraging third-party libraries/APIs during software development
• Familiarity with statistical analysis, regression and classification

Preferred Knowledge/Skills

• Experience with time series analysis, computer vision, natural language processing
• Source code version control (Git)
• Azure Cloud platform and containers
• Databricks and MLflow
• Continuous Integration and Continuous Deployment
• Matlab, SQL
• Strong written and verbal communication skills

Your total rewards

An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
 
We offer you: 

• Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life. 
• Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match. 
• Workplace Flexibility: We have several programs such as “Flex your Day”, providing ad-hoc flexibility around when and where you work, as well as longer-term programs such as leaves of absence and part-time work.
• Comprehensive medical, dental, and vision plans. 
• Culture of Health: Programs and resources to support your wellbeing. 
• Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you. 
• Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you.

 
More information on our Company’s benefits can be found at www.exxonmobilfamily.com. 
 
Please note benefits may be changed from time to time without notice, subject to applicable law.

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Equal Opportunity Employer 

ExxonMobil is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
 

Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. 

Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.