Software Engineer - Machine Learning

Celonis-posted 6 months ago

$150,100 - $183,350/Yr

Full-time • Entry Level

Hybrid • Redwood City, CA

1,001-5,000 employees

Publishing Industries

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Celonis is seeking a software engineer (machine learning) to join the newly formed Celonis AI Group (CeloAI). This team is dedicated to developing advanced AI/ML technologies for Celonis products, particularly the Execution Management System (EMS). The role involves designing and developing product features and customer solutions based on AI/ML approaches, collaborating with various teams to build scalable and high-quality solutions. The position is based in New York, NY, with remote options available across the US.

Deeply understand the business needs of Celonis customers and formulate them into concrete technical problems, often AI related.
Determine which AI/ML approach is suited for the problem.
Design and develop scalable and high-quality AI/ML models or 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.
Design and develop intelligent techniques to understand, represent, and integrate enterprise operational data.
Design and build APIs and infrastructure to serve data at scale and with low latency.
Design and implement intelligent ways to ensure freshness and accuracy of data across thousands of enterprise customers.

Bachelor's degree or equivalent practical experience in Computer Science or related fields.
Master's degree and PhD degree are a plus.
Strong communication and collaboration skills.
Identify with the Celonis value of customer first and be passionate about solving real-world customer problems.
Passionate about developing scalable and efficient AI/ML solutions.
Passionate about building high-quality AI/ML solutions with clear and repeatable evaluation mechanisms.

Investment in personal growth and skill development.
Great compensation and benefits packages including equity, life insurance, and generous leave for new parents.
Physical and mental well-being support.
A global and growing team of diverse backgrounds.
An open-minded culture with innovative, autonomous teams.
Business Resource Groups for connection and support.
A clear set of company values guiding operations.

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