At a Glance
- Tasks: Develop and integrate Python applications for innovative reservoir engineering workflows.
- Company: SLB, a leader in technology and engineering solutions.
- Benefits: Gain hands-on experience, mentorship, and exposure to cutting-edge technologies.
- Other info: Inclusive workplace with opportunities for personal and professional growth.
- Why this job: Join a dynamic team and make a real impact in the tech industry.
- Qualifications: Pursuing a degree in Computer Science or related field with Python skills.
The predicted salary is between 20000 - 30000 € per year.
The next generation of applications under development for Reservoir Engineering within SLB are expected to seamlessly integrate within GenAI tooling and existing industry workflows. At the heart of this new application is allowing extensibility via the integration of the Python framework alongside a set of open APIs that give access to core functionality of the application.
Responsibilities
- This project would be responsible for proving the early stage integration of our new pre & post processing application and other tooling into a wider workflow by leveraging our initial extensibility framework and APIs.
- Creation of workflow that uses our Python to drive our application to perform a set of tasks in an automated way.
- Investigate the different testing methodologies and frameworks for LLMs under the scenarios in use within SLB.
Deliverables
- Produce a report on the options for robust automated testing of LLMs within SLB.
- Demonstrate the integration of one of these testing frameworks into an automated CI/CD pipeline.
Learning Outcomes
- Exposure to and use of LLMs.
- Gain experience of building complex multi-functional reservoir engineering workflows.
Qualifications
- Studying a Bachelor's or Master's in Computer Science, Reservoir Engineering, or a related discipline.
- Python programming skills.
SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law. The recruiting process and the position can be adapted to fit most disabilities, please do not hesitate to mention this when applying.
Back-End Software Engineer Intern (12 months) in Abingdon employer: SLB
SLB is an exceptional employer that fosters a collaborative and innovative work culture, particularly for aspiring Back-End Software Engineers. Located in Abingdon, Oxfordshire, employees benefit from hands-on experience with cutting-edge technologies, extensive learning opportunities, and a commitment to diversity and inclusion. The company prioritises employee growth through mentorship and real-world projects, making it an ideal place for those seeking meaningful and rewarding careers in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Back-End Software Engineer Intern (12 months) in Abingdon
✨Tip Number 1
Network like a pro! Reach out to current or former employees at SLB on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on Python and relevant frameworks. We recommend doing some hands-on projects or coding challenges to showcase your skills. Show them what you can do!
✨Tip Number 3
Don’t just focus on technical skills; be ready to discuss how you can contribute to their workflows. Think about how your background in reservoir engineering or computer science can add value to their projects.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team. Let’s get you that internship!
We think you need these skills to ace Back-End Software Engineer Intern (12 months) in Abingdon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Back-End Software Engineer Intern role. Highlight your Python programming skills and any relevant projects or coursework that align with the job description. We want to see how your experience fits into our world!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this internship and how your background in Computer Science or Reservoir Engineering makes you a great fit. Let us know what excites you about working with GenAI tooling!
Showcase Your Projects:If you've worked on any projects involving Python or automated testing, make sure to mention them! We love seeing practical examples of your skills. Include links to your GitHub or any other platforms where we can check out your work.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at SLB
✨Know Your Python Inside Out
Since the role focuses heavily on Python, make sure you brush up on your skills. Be prepared to discuss your previous projects involving Python and how you've used it to solve problems. Practising coding challenges can also help you demonstrate your proficiency.
✨Understand the Role of APIs
Familiarise yourself with how APIs work, especially in relation to the integration of applications. Be ready to explain how you've used APIs in past projects or how you would approach integrating them in this role. This shows that you understand the technical requirements of the job.
✨Research SLB and Their Workflows
Take some time to learn about SLB and their specific workflows in reservoir engineering. Understanding their industry and how your role fits into their projects will help you answer questions more effectively and show your genuine interest in the company.
✨Prepare Questions for Your Interviewers
Interviews are a two-way street, so think of insightful questions to ask your interviewers. This could be about the team you'll be working with, the technologies they use, or the challenges they face. It shows you're engaged and eager to learn more about the position.
