About Company
SLB is a global technology company driving energy innovation for a balanced planet. We are committed to developing groundbreaking digital solutions and sustainable energy technologies that redefine what’s possible in the energy industry. With a legacy of pioneering advancements and a relentless pursuit of excellence, SLB leverages cutting-edge artificial intelligence and machine learning to optimize operations, enhance decision-making, and unlock new frontiers in energy exploration and production. Join our diverse and dynamic team to contribute to a future where technology and sustainability converge.
Job Description
Are you a visionary AI Researcher passionate about pushing the boundaries of artificial intelligence to solve complex, real-world challenges? SLB is seeking a highly motivated and innovative Remote AI Researcher to join our global digital transformation team. In this pivotal full-time role, you will be instrumental in conducting advanced research, developing novel AI algorithms, and translating cutting-edge theoretical concepts into practical, impactful solutions that will shape the future of the energy industry.
As a Remote AI Researcher at SLB, you will have the unique opportunity to work autonomously while collaborating with a diverse team of scientists, engineers, and domain experts across various disciplines. Your primary focus will be on exploring new AI paradigms, deep learning architectures, reinforcement learning techniques, and advanced statistical modeling to address critical problems in areas such as predictive maintenance, reservoir optimization, exploration data analysis, and sustainable energy solutions. You will be expected to design and execute experiments, analyze complex datasets, prototype innovative solutions, and contribute to the scientific community through publications and presentations. This role offers the flexibility of remote work, allowing you to operate from your preferred location while staying deeply connected to our global teams through virtual collaboration tools and regular check-ins.
This position demands a blend of rigorous academic curiosity, strong problem-solving acumen, and hands-on technical expertise. You will be empowered to drive your research agenda, identify promising avenues for innovation, and contribute directly to SLB’s strategic initiatives in digital technology and sustainable energy. We foster an environment of continuous learning, encourage our researchers to explore uncharted territories in AI, and provide resources for professional growth and development. The scope of your work will involve not only theoretical advancements but also ensuring the scalability and robustness of your solutions when deployed in real-world applications. You’ll contribute to intellectual property, participate in internal and external workshops, and mentor junior colleagues. If you thrive in a collaborative, research-intensive setting, are passionate about making a tangible impact on one of the world’s most critical industries, and are excited by the prospect of defining the next generation of AI-powered energy solutions, we encourage you to apply and join us in pioneering a sustainable future.
Key Responsibilities
- Conduct cutting-edge research in artificial intelligence, machine learning, deep learning, and related fields to address complex industry challenges.
- Design, develop, and implement novel AI algorithms and models from theoretical concepts to practical prototypes.
- Analyze large, complex datasets to identify patterns, extract insights, and inform model development.
- Evaluate the performance of AI models, fine-tune parameters, and optimize for scalability and efficiency.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI research and actively contribute to the scientific community through publications, patents, and presentations.
- Translate complex AI concepts and findings into clear, concise communications for both technical and non-technical audiences.
- Contribute to the strategic direction of SLB's AI initiatives and intellectual property development.
- Mentor junior researchers and foster a culture of innovation and scientific rigor.
Required Skills
- Strong theoretical and practical background in Machine Learning, Deep Learning, Reinforcement Learning, or related AI fields.
- Proficiency in programming languages such as Python, including experience with scientific libraries (NumPy, SciPy, Pandas).
- Expertise with major deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Experience with statistical modeling, data analysis, and data visualization.
- Solid understanding of algorithm design, data structures, and software development best practices.
- Excellent problem-solving skills and ability to conduct independent research.
- Strong written and verbal communication skills, capable of presenting complex technical information.
- Ability to work effectively in a remote, collaborative team environment.
Preferred Qualifications
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, Electrical Engineering, or a related quantitative field.
- A strong publication record in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL) or journals.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and distributed computing for AI model training and deployment.
- Familiarity with domain-specific challenges in the energy industry (e.g., geophysics, subsurface modeling, asset optimization).
- Experience with specialized AI areas such as NLP, Computer Vision, Time-Series Analysis, or Graph Neural Networks.
- Proven ability to lead research projects and drive innovation from concept to implementation.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance plans.
- 401(k) retirement plan with company matching.
- Generous paid time off and flexible holiday schedule.
- Opportunities for professional development, conferences, and continuous learning.
- Remote work flexibility with a supportive virtual team environment.
- Access to cutting-edge tools, technologies, and computing resources.
- Culture of innovation, intellectual curiosity, and impact-driven research.
- Employee assistance program and wellness initiatives.
How to Apply
Interested candidates are encouraged to apply by clicking the active link below. Please ensure your resume highlights your relevant research experience, technical skills, and any significant publications or projects.