Reservoir - Machine Learning Software Engineer (Houston, TX)
Machine Learning Software Engineer – Reservoir Houston, TX）
JOB TITLE: Machine Learning Software Engineer
Sinopec Tech Houston LLC, a research branch of Sinopec, focuses on advancing technological innovations in the oil and gas industry. Our team is committed to applying cutting-edge ML (machine learning) techniques to enhance reservoir management, optimize exploration and production, and conduct in-depth studies of in-situ stress within oil and gas reservoirs.
We are seeking an experienced ML Software Engineer to join our multidisciplinary team, focusing on developing advanced ML-driven software products for reservoir studies. The role will involve creating innovative solutions for the analysis and modeling of reservoir characteristics and simulation, including well performance prediction, in-situ stress analysis and other reservoir properties, to support efficient oil and gas exploration and production.
ESSENTIAL FUNCTIONS:
Disclaimers: The foregoing statements reflect the general duties, responsibilities and competencies considered necessary to perform the essential functions of this role and should not be considered as a detailed description of all the work requirements of this position. The specifics of this job description will be updated from time to time, as appropriate and required.
STHC is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided on the basis of qualifications, merit, and business need.
If you need assistance or an accommodation due to a disability, you may contact us at hr.sthc@sinopec.com or you may call us at 1-832-831-1200.
Apply directly to this job posting by visiting our website: www.sinopecthc.com
To all recruitment agencies: We are not responsible for any fee related to unsolicited resumes from 3rd party staffing and recruiting agencies (whether submitted through this website or sent directly to employees) unless a written agreement is in place between the agency and Sinopec Tech Houston, LLC. (“Company”) and an authorized Company representative makes a written request to the agency to assist with this requisition. Similarly, no fee will be paid for candidates who apply and claim to be represented by an agency. Any unsolicited resumes, CVs, or other candidate information submitted by an agency will become the property of Company, and no fee will be paid in the event such candidate is hired.
JOB TITLE: Machine Learning Software Engineer
Sinopec Tech Houston LLC, a research branch of Sinopec, focuses on advancing technological innovations in the oil and gas industry. Our team is committed to applying cutting-edge ML (machine learning) techniques to enhance reservoir management, optimize exploration and production, and conduct in-depth studies of in-situ stress within oil and gas reservoirs.
We are seeking an experienced ML Software Engineer to join our multidisciplinary team, focusing on developing advanced ML-driven software products for reservoir studies. The role will involve creating innovative solutions for the analysis and modeling of reservoir characteristics and simulation, including well performance prediction, in-situ stress analysis and other reservoir properties, to support efficient oil and gas exploration and production.
ESSENTIAL FUNCTIONS:
- Develop and implement ML algorithms to model reservoir behavior, focusing on in-situ stress analysis, geomechanical modeling, and fluid dynamics.
- Build and maintain machine learning models and tools that support reservoir characterization, real-time monitoring, and optimization.
- Collaborate with geoscientists, engineers, and data scientists to integrate ML solutions into existing workflows and decision-making processes.
- Enhance the performance of models and optimize them for use in in-situ stress simulations and large-scale reservoir simulations.
- Conduct research to stay at the forefront of ML technologies in the oil and gas industry, with a focus on practical, real-world applications.
- Contribute to the development of ML-based software solutions that streamline reservoir study processes and increase operational efficiency.
- Prepare clear and detailed technical reports and present them to the management.
- Participate in industry technical conferences as needed, expand and maintain industry networks in the technical field.
- Assist related teams in formulating new technology R&D plans and implementation schemes.
- Complete projects on time with high quality, within budget constraints.
- 3+ years of experience in ML software development, with a focus on geosciences, Petroleum engineering, or related fields.
- Expertise in machine learning algorithms, including deep learning, reinforcement learning, and predictive modeling.
- Strong proficiency in Python and relevant machine learning libraries (TensorFlow, PyTorch, Scikit-learn, Commercial LLM-API).
- Experience with geological modeling, reservoir simulation, or in-situ stress analysis is a significant plus.
- Proven track record of deploying machine learning models in production environments.
- Knowledge of cloud platforms (AWS, GCP, or Azure) and modern development tools.
- Strong problem-solving skills and ability to communicate technical concepts clearly to both technical and non-technical stakeholders..
- Familiarity with the latest trends in ML and their applications in energy, particularly for subsurface studies.
- Candidates with a bachelor's degree or higher in Computer Science or a related field will be preferred.
- Experience in ML-driven reservoir management or oil and gas-related applications.
- Bachelor’s degree or higher from an accredited university in Computer Science, Software Engineering, or related technical field (e.g. geomechanics, geology, reservoir simulation) involving coding.
- 3+ years of working experience as a Software Developer with focus on geosciences or related field
- Some domestic and international travel may be required (normally < 10 %).
- Must be legally eligible to work in the United States without sponsorship.
Disclaimers: The foregoing statements reflect the general duties, responsibilities and competencies considered necessary to perform the essential functions of this role and should not be considered as a detailed description of all the work requirements of this position. The specifics of this job description will be updated from time to time, as appropriate and required.
STHC is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided on the basis of qualifications, merit, and business need.
If you need assistance or an accommodation due to a disability, you may contact us at hr.sthc@sinopec.com or you may call us at 1-832-831-1200.
Apply directly to this job posting by visiting our website: www.sinopecthc.com
To all recruitment agencies: We are not responsible for any fee related to unsolicited resumes from 3rd party staffing and recruiting agencies (whether submitted through this website or sent directly to employees) unless a written agreement is in place between the agency and Sinopec Tech Houston, LLC. (“Company”) and an authorized Company representative makes a written request to the agency to assist with this requisition. Similarly, no fee will be paid for candidates who apply and claim to be represented by an agency. Any unsolicited resumes, CVs, or other candidate information submitted by an agency will become the property of Company, and no fee will be paid in the event such candidate is hired.
This is a full time position
Jobs page provided by 