Geoscientist ( AI/ML )

Halliburton Energy Services; Kraków; Hybrid; PLN 100,000 - 140,000; Full time

Job summary

Landmark Software & Services is hiring early‑career geoscience and engineering professionals. You will build and test advanced research algorithms used by energy operators, engage with live client data for POC, and participate in peer reviews to advance AI/ML workflows.

The role spans geoscience, geophysics, petrophysics, and AI‑assisted analytics. We welcome graduates and those with up to five years of experience who want to grow technical skills within a global team and contribute to

Qualifications

• Master level Geophysics/Geoscience/Petrophysics or related field.
• Experience with AI/ML workflows.
• Strong programming and code/documentation skills.

Responsibilities

• Build and test features for CSEE products used by energy companies.
• Contribute to proof-of-concept on live client data.
• Engage in peer reviews and document technical work.

Skills

Python

AI/ML knowledge

Programming languages

Education

Masters in Geophysics/Geoscience/Petrophysics

Equivalent professional experience

Tools

Landmark software

Job description

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We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

Job Duties

Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world’s largest energy companies and run as cloud‑native SaaS platforms and as enterprise on‑premises solutions.

About the Role

This role spans the full early‑career range. We are hiring new Geoscience graduates as well as engineers with up to five years of professional experience. Your experience will be reflected in your level, scope, and compensation at offer. You join a global team of Computational Science and Engineering for Energy (CSEE) and start contributing immediately. You build and test advanced research algorithms with your team that oil and gas operators use every day for real decisions. You will also actively engage on proof of concept (POC) with live dataset from operators, and learn the trajectory from research to POC to productization. You receive regular guidance from experienced Geoscientists and participate in peer reviews from the start. Over time, you grow your technical skills and your understanding of the domain as well as AI/ML workflows, and you build the habits that make an Geoscientist effective over the long term. We hire for potential and train for success.

Positions are available across a range of domains such as:

• Geoscience — geology
• Geophysics
• Petrophysics
• AI‑assisted analytics
• Search, and generative AI
  

Technologies used will include:

• Languages such as Python coding skills
• Other Landmark software
  

What You Will Do

Build and test features for CSEE products which will later be in active use by energy companies worldwide. Contribute to proof‑of‑concept on live client's data, learning how applications behave under real conditions. Participate in weekly scheduled peer reviews. Contribute to technical documentation for the features you work on.Write technical articles jointly with team, Present at conferences
Work within a distributed team across time zones, communicating clearly and consistently about your progress and blockers. Research and evaluate technical publications that can improve the technology you work on. Grow your understanding of the domain and AI/ML through the work itself

Qualifications

Masters in Geophysics/ Geoscience / Petrophysics, or a related discipline, or equivalent professional experience

Working knowledge of at least one modern programming language. Coding skills with AI/ML knowledge.

Preferred

Experience contributing to a shared research project with other scientists. Interest in technically demanding application domains such as innovation in subsurface integrating AI/ML. Energy industry experience is not required but is a strong plus including any internship experience. We welcome candidates from all backgrounds and encourage you to apply even if your experience does not match every item in the preferred list.

How You Work

The scientist/engineer who succeeds in this role is technically curious and takes their craft seriously. Whether you are writing your first code or already have a few years behind you, you pick up new tools and techniques quickly, ask good questions when you are unsure, and follow through on the tasks you own. You treat peer reviews as a place to both learn and contribute, and you communicate clearly with teammates across time zones.

Minimum Qualifications: Minimum qualifications may be acquired through technical schools or equivalent related experience. Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available from the Geoscintist I - III

Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Location

Requisition Number: 211415
Experience Level: Experienced Hire
Job Family: Sales & Marketing
Product Service Line: Landmark Software & Services
Full Time / Part Time: Full Time

Additional Locations for this position

Compensation Information
Compensation is competitive and commensurate with experience.

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