Staff Software Engineer - Machine Learning

Vollzeit
Munich, Germany
vor 8 Stunden

We're Celonis, the global leader in Process Mining technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes - and for that, we need you to join us.

The Team:Our team is responsible for building the Celonis’ end-to-end Task Mining solution. Task Mining is the technology that allows businesses to capture user interaction (desktop) data, so they can analyze how teams get work done, and how they can do it even better. We own all the related components, e.g. the desktop client, the related backend services, the data processing capabilities, and Studio frontend applications.The Role:

Celonis is looking for a Staff Data & Machine Learning Engineer to improve and extend our existing Task Mining ETL pipeline as well as build production ready AI based features into the Task Mining product. You will be owning the solution to simplify the extraction of insights from task mining data. This role demands a blend of expertise in data engineering, software development, and machine learning, utilizing Python. 

The work you’ll do:

  • Design, build, and maintain robust, scalable data pipelines that facilitate the ingestion, processing, and transformation of large datasets
  • Drive the development of AI-powered features and applications from scratch within the Task Mining product
  • Implement data strategies and develop data models
  • Collaborate with other engineering teams to implement, deploy, and monitor ML models in production, ensuring their performance and accuracy
  • Leverage machine learning techniques to provide actionable insights and recommendations for process optimization
  • Write performant, scalable and easy to understand SQL queries and optimize existing ones
  • Learn PQL (Process Query Language – Celonis’ own language for analytical formulas and expressions) and use it to query data from our process mining engine
  • Own the implementation of end to end solutions: leading the design, implementation, build and delivery to customers
  • Provide technical leadership and mentorship to other engineers and team members
  • Lead design discussions, code reviews, and technical planning sessions to ensure high standards and knowledge sharing

The qualifications you need:

  • 8+ years of practical experience in a Computer Science/Data Science related field
  • Or PhD in Data Science/AI/ML area with 5+ years of practical experience 
  • Experience with building production ready and scalable AI/ML applications in the python ecosystem
  • Ability to optimize data pipelines, applications, and machine learning models for high performance and scalability
  • Understanding of ETL jobs, data warehouses/lakes, data modeling, schema design
  • Excellent command of SQL, including query optimization principles
  • Ability to assess dependencies within complex systems, quickly transform your thoughts into an accessible prototype and efficiently explain it to diverse stakeholders
  • Experience with containerization and CI/CD pipelines (e.g. Docker, Github Actions)
  • Interest in learning new technologies (e.g. PQL language and Object Centric Process Mining)
  • Strong communication and collaboration skills (English is a must)
  • Able to supervise and coach mid-level and senior colleagues
  • Knowledge of Column-oriented DBMS (e.g. Vertica) and its specific features would be beneficial
  • Nice to have is knowledge in the frameworks Tensorflow, Pytorch, Langchain, FastAPI, SQLAlchemy 

What Celonis Can Offer You:

  • 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). For intern and working student benefits, click here.
  • 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
  • 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 helps some of the world’s largest and most esteemed brands make processes work for people, companies and the planet. With over 5,000 enterprise customer deployments across nearly every industry, the Celonis Process Intelligence Platform uses process mining and AI to give you a living digital twin of your business operation. It’s system-agnostic and without bias, and empowers companies to reduce waste, create value and benefit people across the top, bottom, and green lines. Since 2011, the Celonis platform has enabled its customers to identify more than $18 billion in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.

Get familiar with the Celonis Process Intelligence Platform by watching this video.

 

Equal Opportunity at Celonis:

Celonis is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment and equal opportunity in all aspects of employment. We will not tolerate any unlawful discrimination or harassment of any kind. We make all employment decisions without regard to race/ethnicity, color, sex, pregnancy, age, sexual orientation, gender identity or expression, transgender status, national origin, citizenship status, religion, physical or mental disability, veteran status, or any other factor protected by applicable anti-discrimination laws. As a US federal contractor, we are committed to the principles of affirmative action in accordance with applicable laws and regulations. Different makes us better. 

 

Your Privacy:

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