Senior Software Engineer - Machine Learning

April 3

🏢 In-office - Manhattan

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Logo of Celonis

Celonis

Change the world. One process at a time.

Process Mining • Big Data • Business Analytics • Business Processes • Intelligent Business Cloud

1001 - 5000

💰 $600M Debt Financing on 2022-08

Description

• As a software engineer (machine learning), responsible for designing and developing product features and customer solutions, along with the underlying infrastructure, that are based on AI/ML approaches. • May interact closely with solution engineers, customer value architects, and execution management consultants within the Go-to-Market organization and product managers and software engineers within the product and engineering organization to build scalable and high-quality AI/ML features and solutions for customers. • Also responsible for designing and implementing new foundational technical components that will power the next generation of EMS and elevate the impact Celonis has on customers. These components may span the areas of computer vision, natural language processing, data mining, recommendation, knowledge base, business intelligence, and other AI technologies. • Deeply understand the business needs of Celonis customers, formulate the business needs into concrete technical problems, often AI related.

Requirements

• Bachelor’s degree, Master’s degree, or equivalent practical experience (in Computer Science or related fields) with 3-5+ years of experience • PhD degree (in Computer Science or related fields) with 1-3+ years of experience • Strong communication and collaboration skills • Identify with the Celonis value of customer first, passionate about solving real-world customer problems with a focus on finding the right solution regardless of the nature of the solution • Passionate about developing scalable and efficient AI/ML solutions • Passionate about building high-quality AI/ML solutions with clear and repeatable evaluation mechanisms

Benefits

• The unique opportunity to work with industry-leading process mining technology • Investment in your personal growth and skill development (clear career paths, internal mobility opportunities, L&D platform, mentorships, and more) • Great compensation and benefits packages (equity (restricted stock units), life insurance, time off, generous leave for new parents from day one, and more) • Physical and mental well-being support (subsidized gym membership, access to counseling, virtual events on well-being topics, and more) • A global and growing team of Celonauts from diverse backgrounds to learn from and work with • An open-minded culture with innovative, autonomous teams

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