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 Role As 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 AspenTech is a global software leader helping industries meet the increasing demand for resources from a rapidly growing population in a profitable and sustainable manner. Our Digital Grid Management software suite, including AspenTech OSI products, helps power and utilities companies achieve superior real-time control, optimization and management for exceptional performance of complex energy networks. If you're looking to make a difference every day and push the limits of performance, AspenTech is doing things no one else thought was possible. As a leading industrial software partner, we help companies all over the world run safer, greener, longer and faster. With over 3700 employees and more than 60 global locations, AspenTech is meeting today's sustainability and business challenges head-on with unmatched expertise, cutting-edge AI-powered technology and a passion to innovate. AspenTech is an Equal Opportunity/Affirmative Action employer. AspenTech does not discriminate against employees or applicants on the basis of age, race, color, religion, creed, ancestry, sex, sexual orientation, gender identity or expression, pregnancy or related conditions, marital status, familial status, national origin, disability, medical condition, genetic information, citizenship, military service or protected Veteran Status or any other basis protected by applicable federal, state, or local law. Reasonable Accommodation: We will provide reasonable accommodations to qualified individuals who have a disability or sincere religious reasons to request accommodation, when necessary to enable the individual to participate in the job application or interview process. If you wish to request an accommodation, please contact us at [email protected]. GDPR Privacy Notice: AspenTech collects a range of personal information during the recruitment process. This may include the following personal or special categories of personal data: recruitment information such as your application form and resume, references, qualifications and membership of any professional bodies and details of any pre-employment assessments; your contact details and date of birth; your gender; your marital status and family details; your identification documents including passport and driver's license and information in relation to your immigration status and right to work with us; information about your contract of employment (or services) including start and end dates of employment, role and location, working hours, details of promotion, salary (including details of previous remuneration), pension, benefits, and holiday entitlement; your racial or ethnic origin; any criminal convictions and offences. AspenTech Security and Privacy Policy Plan Participants Enrolled in the AspenTech US Medical Plans: The Transparency in Coverage Final Rules require certain group health plans to disclose on a public website information regarding in-network provider rates and historical out-of-network allowed amounts and billed charges for covered items and services in two separate machine-readable files (MRF’s). The MRF’s for the benefit package options under AspenTech’s US Employee Benefit Plan are linked below: Transparency in Coverage Rule - Machine Readable Files Transparency In Coverage Rule And Consolidated Appropriations Act Overview and FAQS

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