Principal Scientific Developer

Posted Yesterday
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Tel Aviv, ISR
In-Office
Entry level
Software • Energy
The Role
Develop machine learning algorithms and data-driven models for geophysical and subsurface engineering applications. Research emerging ML technologies, optimize large-scale workloads for high-performance computing, and collaborate with data scientists, engineers, product teams, and customers. The role involves handling large datasets, developing neural-network solutions, integrating innovative technologies into software applications, and supporting continuous innovation in the geophysical domain.
Summary Generated by Built In

The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways — from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.

The RoleAs a Senior ML Algorithm Developer, you will play a pivotal role in developing innovative machine learning algorithms and data-driven models for the next generation of AspenTech’s subsurface and engineering solutions. We are seeking a sharp, disciplined, and highly quantitative individual with a passion for working with complex data and cutting-edge technologies, leveraging your expertise in machine learning to design, develop and enhance core algorithms for oil and gas industry.
This position presents unique challenges, including the adoption of machine learning methodologies for subsurface data, handling extremely large datasets, and optimizing parallel computing, all within a collaborative environment where team members share knowledge and work on joint projects. The role will leverage the capabilities of AI tools to enhance development efficiency, accelerate innovation, and address complex technical challenges.

Your Impact
  • Design and develop machine learning algorithms in the geophysical domain.
  • Research and evaluate advanced machine learning approaches and emerging technologies.
  • Optimize code for runtime acceleration of large-scale jobs (HPC).
  • Work in collaboration with various teams in R&D, Testing and Product.

Your Impact 

  • Collaborate with data scientists, engineers, and software developers to develop new machine learning applications for the subsurface exploration systems 
  • Collaborate with customers, product managers and technical staff to develop technology strategies to promote continuous innovation in our geophysical domain 
  • Investigate new and developing technologies as they appear in industry and academia and determine how to leverage these new technologies into our
    software applications 
What You'll Need
  • BSc degree in Computer Science, Geo Science, Physics, Math, Statistics, or other similar scientific discipline 
  • Experience in Machine Learning and Neural Networks  
  • Strong Python skills and hands-on experience with modern ML frameworks such as PyTorch, TensorFlow or scikit-learn
  • Experience in Geoscience or related fields such as medical imaging, computer vision, machine vision, remote sensing, or scientific imaging – Advantage
  • Programming experience in C++ - Advantage
  • Written and verbal fluency in English 
  • Strong interpersonal, communication, writing, and presentation skills 

Skills Required

  • Bachelor of Science degree in Computer Science, Geoscience, Physics, Mathematics, Statistics, or a similar scientific discipline
  • Experience with machine learning and neural networks
  • Strong Python skills and hands-on experience with PyTorch, TensorFlow, or scikit-learn
  • Written and verbal fluency in English
  • Strong interpersonal, communication, writing, and presentation skills
  • Experience in geoscience or related fields such as medical imaging, computer vision, machine vision, remote sensing, or scientific imaging
  • Programming experience in C++

Aspen Technology Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Aspen Technology and has not been reviewed or approved by Aspen Technology.

  • Healthcare Strength — Health coverage is described as strong, with comprehensive medical, dental, and vision plans and high-quality carrier options. Several recent remarks characterize the health insurance as "great" or "amazing," with low copays noted in some cases.
  • Parental & Family Support — Maternity and paternity leave receive consistently positive mentions and are characterized as well-reviewed. Company materials also highlight family-oriented benefits alongside core coverage.
  • Leave & Time Off Breadth — The package includes vacation/PTO, paid holidays, and sick leave, with multiple indications of generous paid time off. Dedicated volunteer hours and well-regarded leave policies reinforce breadth in time-away benefits.

Aspen Technology Insights

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The Company
HQ: Bedford, MA
2,466 Employees

What We Do

AspenTech is a global leader in asset optimization software helping the world’s leading industrial companies run their operations more safely, efficiently and reliably – enabling innovation while reducing waste and impact on the environment. AspenTech software accelerates and maximizes value gained from digital transformation initiatives with a holistic approach to the asset lifecycle and supply chain. By introducing effective AI modeling to traditional principles of process engineering, AspenTech delivers a faster and more accurate analysis of efficiency and performance boundaries. The real-time data and actionable insights delivered by our software help customers push the boundaries of what’s possible.

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