Machine Learning Engineer

Would you like to shape the future of energy technology?

Do you enjoy being part of a successful team?

Join our Team

As an energy technology company, Baker Hughes is leading at the tech edge, developing, and delivering technologies that will improve outcomes for our customers.

The BakerHughesC3.ai (BHC3) joint venture alliance is leading the development and deployment of AI/ML products and solutions for the oil and gas industry and enabling digital transformation working closely with our customers. BHC3 technology and services team consists of domain experts, data scientists, machine learning engineers, software engineers and architects who collaborate to solve the most critical problems in oil & gas industry.

Globally, the oil and gas industry is going through rapid changes and transitioning to more efficient systems and lower carbon goals from exploration to production to refining. Digital technologies and products leveraging large scale data, domain knowledge and advancements in AI/ML technologies are key to enabling our customers to achieve their goals and operate in a more demanding and uncertain global supply and demand for energy.

Within BakerHughesC3.ai, we’re focused on helping our customers leverage machine learning and deep learning through three layers: 1) BHC3 platform capabilities to develop and deploy models at scale using large and diverse datasets 3) Tailored Machine Learning pipelines and APIs for oil and gas datasets and use cases to improve productivity for data scientists and ML engineers, and 3) Building MLOps capabilities in customer-facing products to improve ML-lifecycle.

Summary

We are looking for a Principal ML Engineer, who will be the Subject Matter Expert (SME) for helping technology customers design solutions that leverage our ML platform and services. As part of the team, you will work closely with internal business teams and customers to enable large-scale use cases, design ML pipelines, and drive the adoption of the platform and products. You will interact with other data scientists, ML engineers and SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers to fully leverage AI/ML capabilities for oil and gas use cases. Additionally, as the voice of the customer, you will work closely with the service teams and product leaders and submit product feature requests.

You must have deep technical experience working with technologies related to artificial intelligence, machine learning and/or deep learning. A strong mathematics and statistics background is preferred in addition to experience building complex machine learning model, preferably for industrial or oil and gas use cases. You will be familiar with the ecosystem of software vendors in the AI/ML space and will leverage this knowledge to help Baker Hughes customers in their selection process.

You Will Be Responsible For:

Partnering with business teams, data scientists, SAs, sales, and the AI/ML service teams to accelerate customer adoption and revenue attainment.
Evangelizing BHC3 ML framework and capabilities and share best practices through forums such as blogs, whitepapers, reference architectures and public-speaking events.
Acting as a technical liaison between customers and the Baker Hughes services teams to provide customer driven product improvement feedback.
Developing and support an BHC3 internal community of ML related subject matter experts.
The annual *pay scale for this position is $155-210k USD if employed in California. *Pay scale for CA is effective January 1, 2023

Fuel your passion

To Be Successful In This Role You Will Have:

A Master’s Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with 5 years' experience.
Or PHD with 8 years of experience.
Or Bachelors Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with 12 years' experience.
5+ years of experience developing and deploying machine learning models and solutions.
3+ years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions
3+ years professional experience in software development in languages related to ML like Python or R. Experience working with RESTful API and general service-oriented architectures.

Preferred Qualifications:

Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relationships
Consulting experience and track record of helping customers with their AI needs
Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences
Knowledge of SparkML
Able to write production level code, which is well-written and explainable
Experience using ML libraries, such as scikit-learn, caret, mlr, mllib
Track record of diving into data to discover hidden patterns
Familiarity with using data visualization tools
Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format
Experience giving public presentations
The annual *pay scale for this position is $125-190k USD if employed in California. *Pay scale for CA is effective January 1, 2023

Work in a way that works for you

We Recognize That Everyone Is Different And That The Way In Which People Want To Work And Deliver At Their Best Is Different For Everyone Too. In This Role, We Can Offer The Following Flexible Working Patterns:

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working with us

Our people are at the heart of what we do at Baker Hughes. We know we are better when all our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.

Working for you

Our Inventions Have Revolutionized Energy For Over a Century. But To Keep Going Forward Tomorrow, We Know We Must Push The Boundaries Today. We Prioritize Rewarding Those Who Embrace Change With a Package That Reflects How Much We Value Their Input. Join Us, And You Can Expect:

Contemporary work-life balance policies and wellbeing activities
Comprehensive private medical care options
Safety net of life insurance and disability programs
Tailored financial programs
Education Assistance
Generous Parental Leave
Mental Health resources
Dependent Care
Additional elected or voluntary benefits
The annual *pay scale for this position is $155-210k USD if employed in California. *Pay scale for CA is effective January 1, 2023

About Us

With operations in over 120 countries, we provide better solutions for our customers and richer opportunities for our people. As a leading partner to the energy industry, we’re committed to achieving net-zero carbon emissions by 2050 and we’re always looking for the right people to help us get there. People who are as passionate as we are about making energy safer, cleaner and more efficient.

Join Us

Are you seeking an opportunity to make a real difference in a company with a global reach and exciting services and clients? Come join us and grow with a team of people who will energize and inspire you! #managed

About Us:

We are an energy technology company that provides solutions to energy and industrial customers worldwide. Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward – making it safer, cleaner and more efficient for people and the planet.

Join Us:

Are you seeking an opportunity to make a real difference in a company that values innovation and progress? Join us and become part of a team of people who will challenge and inspire you! Let’s come together and take energy forward.

Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.