Celonis is hiring a
Remote Software Engineer Machine Learning
\n\nThe Team\n\nCelonis 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.\n\nWe 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.\nThe Role\n\nAs 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.\n\nYou 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.\nThe work you’ll do\n\n\n* Deeply understand the business needs of Celonis customers, formulate the business needs into concrete technical problems, often AI related\n\n* Determine which AI/ML approach, if any, is suited for the problem\n\n* Design and develop scalable and high quality AI/ML models or otherwise intelligent approaches\n\n* Design and implement scalable and robust data collection mechanisms\n\n* Design and implement principled evaluation mechanisms\n\n* Design and build robust and low latency infrastructure to serve the AI/ML models and meet the demands of Celonis customers\n\n* Design and develop intelligent techniques to understand, represent, and integrate enterprise operational data (e.g., processes)\n\n* Design and build APIs and infrastructure to serve such data at scale and with low latency\n\n* Design and implement intelligent ways to ensure freshness and accuracy of such data across thousands of enterprise customers.\n\n\n\nThe qualifications you need\n\n\n* Bachelor’s degree or equivalent practical experience (in Computer Science or related fields), Master’s degree and PhD degree a plus\n\n* Strong communication and collaboration skills\n\n* 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\n\n* Passionate about developing scalable and efficient AI/ML solutions\n\n* Passionate about building high quality AI/ML solutions with clear and repeatable evaluation mechanisms\n\n\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Engineer and Engineer jobs that are similar:\n\n
$60,000 — $110,000/year\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew York City, New York, United States
Apply for this job
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.