Software Engineer - Machine Learning

Celonis; Redwood City (CA); Remote; USD 150,000 - 184,000; Full time

Job summary

Join a forward-thinking company as a Machine Learning Software Engineer, where your expertise will drive the development of cutting-edge AI solutions. You'll work on innovative projects that enhance customer experiences and operational efficiency, utilizing state-of-the-art technologies in a collaborative environment. This role offers a unique opportunity to shape the future of process mining and AI, making a significant impact on how businesses operate. With a commitment to personal growth and a diverse team culture, you'll thrive in a setting that values creativity and excellence.

Benefits

Health Insurance

Dental Insurance

401k

Paid Time Off

Gym Membership

Mentorship Programs

Career Development Opportunities

Equity (Restricted Stock Units)

Flexible Work Hours

Parental Leave

Qualifications

• Bachelor’s degree or equivalent in Computer Science or related fields.
• Strong communication and collaboration skills essential.
• Passionate about scalable AI/ML solutions.

Responsibilities

• Design and develop AI/ML models based on customer needs.
• Implement data collection and evaluation mechanisms.
• Build infrastructure to serve AI/ML models efficiently.

Skills

Machine Learning

AI Solutions Development

Data Collection Mechanisms

API Design

Natural Language Processing

Computer Vision

Education

Bachelor's Degree in Computer Science

Master's Degree

PhD

Tools

Python

TensorFlow

Keras

PyTorch

Job description

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

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 or equivalent practical experience (in Computer Science or related fields), Master’s degree and PhD degree a plus
• 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

The base salary range below is for the role in the specified location, based on a Full Time Schedule.

Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location. The base salary range below is for the role in California, based on a Full Time Schedule. $150,100 — $183,350 USD

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.

Data Privacy, Equal Opportunity, and Accessibility Information

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.

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