Oxy is an international energy company with assets primarily in the United States, the Middle East and North Africa. We are one of the largest oil and gas producers in the U.S., including a leading producer in the Permian and DJ basins, and offshore Gulf of Mexico. Our midstream and marketing segment provides flow assurance and maximizes the value of our oil and gas. Our chemical subsidiary OxyChem manufactures the building blocks for life-enhancing products. Our Oxy Low Carbon Ventures subsidiary is advancing leading-edge technologies and business solutions that economically grow our business while reducing emissions. We are committed to using our global leadership in carbon management to advance a lower-carbon world. Visit oxy.com for more information.

Occidental strives to attract and retain talented employees by investing in their professional development and providing rewarding opportunities for personal growth. Our goal is to meet the highest employer standards by ensuring the health and safety of our employees, protecting the environment and positively impacting our communities where we do business.

We are looking for an experienced and motivated individual to fill the position of Computer Vision Expert - Machine Learning for Seismic Interpretation within our Subsurface Innovation Imaging Team based in Houston, TX. 

Essential Job Responsibilities:

• Develop and implement scalable cutting-edge computer vision algorithms for large seismic data analysis, particularly focusing on tasks such as image segmentation. 

• Regularly dive into architecture, code, and deployments to model technical excellence for the team. 

• Collaborate with geophysicists and data scientists to integrate computer vision solutions into our seismic interpretation workflows. 

• Conduct research and stay up to date with the latest advancements in computer vision and deep learning. 

• Assist with the deployment of deep learning models to production stages. 

• Influence best practices for engineering rigor and help cultivate an engineering driven culture. 

• Provide technical leadership and mentorship to all team members. 

• Facilitate team growth by attracting candidates, interviewing, evaluating, and selecting new talent. 

Qualifications:

• Ph.D. or Master's degree in Computer Science, Electrical Engineering, or a related field with a focus on computer vision and deep learning. 

• Experience and understanding of transfer learning and reinforcement learning techniques. 

• Experience in applying explainable AI techniques to improve the interpretability of our models. 

• Extensive experience with deep learning frameworks such as PyTorch, or Tensorflow. 

• Proficiency in writing clean, concise, well-tested, and maintainable Python code. 

• Proven track record of developing and deploying computer vision algorithms in real-world applications. 

• Experience performing basic ML model training tasks such as hyper parameter tuning, feature and model selection. 

• Excellent problem-solving skills and the ability to work independently and as part of a team. 

• Strong communication skills and the ability to present complex technical concepts to non-technical stakeholders. 

• Understanding of data engineering to assist with the life cycle of models. 

• Maintains integrity and consistently delivers high-quality work. 

• Takes responsibility for personal and team outcomes to ensure successful results and insights. 

Additional Desired Qualifications:

• Experience in seismic data analysis or geophysical applications. 

• Experience in fields such as medical imaging or autonomous vehicles, where challenging computer vision tasks are tackled, is highly desirable as some of the skills and knowledge from these areas could be effectively transferred to our applications. 

• Knowledge of cloud computing platforms such as AWS. 

• Familiarity with high-performance computing and parallel processing techniques. 

Recruitment Fraud
 
It has come to our attention various individuals and/or organizations are contacting people falsely pretending to recruit on behalf of Oxy. Please be aware that these recruiting scams and communications do not originate nor are they associated with our recruitment process. All Oxy job postings and offers will require a completed application through our company website.
 
Oxy does not charge a fee at any stage of the recruiting process. We will never:
 
•  Ask you to pay for applications, interviews, meetings, processing, training or for any other fees
 
•  Use recruiting or placement agencies that charge candidates an advance fee of any kind or
 
•  Request personal information such as passport and bank account details at an early stage of our recruitment process.
 
We recommend against responding to unsolicited business propositions or offers from people you don't know. Do not disclose your personal or financial details. If you believe you have been the victim of a recruiting scam, please contact your local police department.

All qualified applicants will receive consideration for employment without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.