Machine Learning Engineer

3 weeks ago


City of London Greater London, United Kingdom S-Cube Full time

S-Cube is an award-winning energy tech startup based in London. The company specializes in creating revolutionary machine learning optimization algorithms and software for the seismic industry. S-Cube's X-Wave next-generation FWI is used by major global energy companies and continues to grow rapidly. All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description. Responsibilities

  • Algorithm Development: Contribute to the research and development of cutting-edge machine learning algorithms and optimization techniques for seismic data processing and inversion.
  • Data Preprocessing Pipelines: Design and implement robust data preprocessing pipelines to handle large-scale seismic datasets.
  • Visualization and Reporting: Create insightful visualizations and reports to communicate model performance, insights, and recommendations to domain experts and stakeholders.
  • Collaboration and Knowledge Sharing: Work closely with cross-functional teams, including geophysicists, data scientists, and software engineers, to ensure effective knowledge transfer and identify opportunities for improvement.
Qualifications
  • Maths / Computer Science / Engineering Masters or PhD from a top-ranked institution
  • Experience with common Python libraries: NumPy, SciPy, Pandas, SQLite etc
  • A firm grasp of advanced undergraduate maths degree topics, in particular - Linear Algebra, Complex numbers, Optimisation theory, Machine learning
  • Experience or demonstrable interest in audio recognition algorithms and related programming paradigms is a bonus
  • Familiarity with Linux, AWS/GCP/Azure, and Front-end/Back-end systems
  • Take end-to-end ownership of projects and responsibilities, proactively identifying and acquiring any missing knowledge or skills required to successfully accomplish tasks and achieve objectives.


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