Senior Software Engineer - Machine Learning

Summary

Join Celonis, a global leader in Process Mining technology, as a Software Engineer (Machine Learning) within the Celonis AI Group (CeloAI). You will design and develop AI/ML-based product features and customer solutions, collaborating with various teams. Responsibilities include understanding customer needs, selecting appropriate AI/ML approaches, developing scalable models, designing data collection and evaluation mechanisms, and building robust infrastructure. The role requires a Bachelor's or Master's degree (or equivalent experience) in Computer Science or a related field, or a PhD with less experience. Strong communication and collaboration skills are essential. Celonis offers a competitive compensation package including base salary, bonus, equity, and benefits such as health, dental, life insurance, 401k, and paid time off. The company also invests in employee growth and well-being.

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

Responsibilities

• Deeply understand the business needs of Celonis customers, formulate the business needs into concrete technical problems, often AI related
• Determine which AI/ML approach, if any, is suited for the problem
• Design and develop scalable and high quality AI/ML models or otherwise intelligent approaches
• Design and implement scalable and robust data collection mechanisms
• Design and implement principled evaluation mechanisms
• Design and build robust and low latency infrastructure to serve the AI/ML models and meet the demands of Celonis customers
• Design and develop intelligent techniques to understand, represent, and integrate enterprise operational data (e.g., processes)
• Design and build APIs and infrastructure to serve such data at scale and with low latency
• Design and implement intelligent ways to ensure freshness and accuracy of such data across thousands of enterprise customers

Benefits

• Health, dental, life, 401k, and paid time off
• Equity (restricted stock units)
• Life insurance
• Time off
• Generous leave for new parents from day one
• Investment in your personal growth and skill development (clear career paths, internal mobility opportunities, L&D platform, mentorships, and more)
• Physical and mental well-being support (subsidized gym membership, access to counseling, virtual events on well-being topics, and more)