Machine Learning Engineer

Exxon Mobil; Spring (TX); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Pension Plan

Savings Plan

Workplace Flexibility

Medical/Dental/Vision Plans

Wellbeing programs

Disability Plan

Job summary

ExxonMobil seeks a Machine Learning Engineer to lead the deployment and sustainment of data science work products at scale. You will coordinate cross-functional teams and apply software development, DevOps, and ML techniques to deliver production-grade solutions with automated pipelines and interfaces.

You will identify deployment designs, provision environments via Infrastructure as Code, implement CI/CD and monitoring, and mentor colleagues while collaborating with data scientists and business

Qualifications

• Experience delivering end-to-end ML deployments to production.
• Proficient in DevOps practices and data science pipelines.
• Ability to mentor junior team members.
• Strong collaboration with Data Scientists and business units.

Responsibilities

• Lead deployment and sustainment of data science products at scale.
• Coordinate cross-functional teams and apply software development, DevOps, and ML techniques.
• Build automated ML pipelines, retraining workflows, and user interfaces in partnership with Data Scientists and business units.
• Identify effective deployment designs and provision environments via IaC.
• Mentor colleagues and promote production-grade solutions across lines of business.

Skills

Software Development methodologies

DevOps toolsets

ML techniques

CI/CD

Mentoring

Business acumen

Tools

Infrastructure as Code

Job description

Job Role Summary

ML Engineering is a technical field that deals with the automation of deployment and sustainment of Data Science work products at scale to deliver value to customers on a reproducible way.
The Machine Learning Engineer role leads and coordinates work efforts to apply technical skills, domain knowledge and agile techniques to deliver commercial-grade, automated data science solutions including essential data pipeline, ML model retraining pipeline and user interface development in partnership with Data Scientist and business units. Machine Learning Engineer also identifies effective design for new Data Science model deployment and sustainment opportunities and mentors less experienced team members.

About you

• Applies Software Development methodologies, DevOps toolsets and ML techniques and coordinates the implementation effort of an end-to-end machine learning workflow that effectively brings ML models to production.
• Contribution: Leads the scoping and identifies the appropriate solution design of a deployment of a new data science solution. This may require provisioning deployment environments via Infrastructure as Code, applying
• Continuous Integration & Continuous Deployment principles, developing relevant source code, ML Pipelines, APIs, and user interfaces, and employing multiple testing methods to transform and scale a prototype data science model to a multi-user environment across business lines.
• Sustains solutions by enabling continuous ML model and/or service performance monitoring, training, and re-training of models, including the implementation of proactive alerting methods.
• Sphere of Influence: Across projects and business lines, acts as a primary contact for business requests.
• Represents ExxonMobil in interactions with key competitors, vendors, partners, joint ventures, NOCs, government officials, industry associations, academia, and industry forums.
• Knowledge Sharing: Mentors early career professionals and utilizes depth and/or breadth of experience to identify cross-functional business opportunities; visible mentor beyond immediate business line or team.
• Participates in internal networks through which their capabilities can be disseminated to the benefit of others.
• Coaches users to improve ability to derive value out of processes, systems, and data.
• Business Acumen: Application of business acumen functional skill applied to C&DS JF.

Your benefits

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.

Employee equal opportunity

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.