Senior Software Engineer (Machine Learning)

New York, US, NY

Applications have closed

Celonis

The Celonis Process Intelligence Platform — powered by process mining — lets you reveal and realize the value opportunities hiding in your business processes - fast. Get started quickly and scale infinitely.

View company page

We're Celonis, the global leader in execution management and process mining technology, and one of the 50 most valuable private companies in the world. We believe that every company can unlock its full execution capacity - and for that, we need you to join us as a Software Engineer in Machine Learning.

The Team

Celonis AI Group (CeloAI) is a newly formed organization within Celonis that is dedicated to developing state-of-the-art AI/ML (and broadly intelligent) technologies for Celonis products (e.g., the Execution Management System / EMS) and empower enterprises and institutions to make intelligent business decisions and achieve operational excellence. Our dual mission focuses on both the immediate term goals of designing and implementing advanced AI/ML product features and solutions for our customers and the long term goals of establishing competitive advantages of Celonis for execution management.

We are a global organization with presence in both Germany and the US. CeloAI US has its main presence in New York, NY but also remote presences across the US.

The Role

As a software engineer (machine learning), you are responsible for designing and developing product features and customer solutions, along with the underlying infrastructure, that are based on AI/ML approaches. You 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 our customers.

You may also be responsible for designing and implementing new foundational technical components that will power the next generation of EMS and elevate the impact Celonis has on our customers. These components may span the areas of computer vision, natural language processing, data mining, recommendation, knowledge base, business intelligence, and other AI technologies.

The work you’ll do

  • 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.

The qualifications you need

  • 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

What Celonis can offer you

  • The unique opportunity to work within a new category of technology, Execution Management
  • Investment in your personal growth and skill development (clear career paths, internal mobility opportunities, mentorships, yearly development stipend)
  • Great compensation and benefits packages (stock options, retirement plans, generous time off, family leave from day one, and more)
  • Work from home support (mindfulness tools such as Headspace, flexible working hours, virtual events, and workshops)
  • A global and growing team of Celonauts from diverse backgrounds to learn from and work with
  • An open-minded culture with innovative, autonomous teams
  • Business Resource Groups to help you feel connected, valued and seen (Black@Celonis, Women@Celonis, Parents@Celonis, Pride@Celonis, Resilience@Celonis, and more)
  • A clear set of company values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future

About Us

Celonis reveals and fixes inefficiencies businesses can’t see, enabling them to perform at levels they never thought possible. Powered by its market-leading process mining core, the Celonis Execution Management System provides a full set of platform capabilities for business executives and users to eliminate billions in corporate inefficiencies, provide better customer experience and reduce carbon emissions. Celonis has thousands of implementations with global customers and is headquartered in Munich, Germany and New York City, USA with more than 20 offices worldwide.

Celonis is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Different makes us better

Tags: APIs Business Intelligence Computer Science Computer Vision Data Mining Engineering Machine Learning ML models NLP PhD

Perks/benefits: Career development Competitive pay Equity Flex hours Flex vacation Home office stipend Startup environment Team events

Region: North America
Country: United States
Job stats:  12  2  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.