ML Engineer

Artificial Intelligence holds immense potential for improving our lives and our work. One key challenge is its effective application in manufacturing. At EthonAI, you will have the unique opportunity to shape the manufacturing landscape across entire industries. As a member of our team, you will have the chance to tackle exciting engineering challenges from distributed computing to computer vision, using state-of-the-art technologies.

Who is EthonAI?

EthonAI pioneers a new category of software: the Manufacturing Analytics System (MAS). With its powerful software suite, EthonAI helps manufacturers achieve operational excellence at scale. We are backed by leading international investors and have been featured as thought leaders on recognized industry benchmarks and media. Our software products are used by Fortune 500 companies and industry leaders across Europe and the US.

We are multinational, multifaceted, and action-oriented. We are intentional about the principles that guide us every day: create immediate impact and value, play in the top league, and create the best place to work and grow.

What is this job about?

We are looking for a Machine Learning Engineer to work on our MAS analytics products. You will have the opportunity to transform cutting-edge research into a product that is deployed in factories around the globe. You will have the responsibility to overview the conceptual design, implementation, testing, and deployment. We expect you to be self-driven, eager to learn, and grow with our company in a dynamic and fast-paced environment.

Requirements

First and foremost, we believe in curious people who are eager to learn and grow. Please also reach out if you don’t check all the points mentioned here.

What do you need to succeed in this role?

Your Roles & Responsibilities

• Develop ML algorithms and solve challenging problems.

• Work on our AI analytics platform for manufacturing data.

• Use EthonAI's tools to provide proofs of value and additional insights to customers.

• Work cross-functionally with product engineering and R&D help us perfect our platform and product offering.

• Take end to end ownership of the development and implementation of our analytics algorithms.

Your Experience & Skills

• You hold an academic degree in a relevant field, such as Mathematics, Statistics, Computer Science, or Machine Learning. A Master's degree for recent graduates, but a Bachelor's backed with real-world experience can also work.

• Strong expertise in algorithm development and/or machine learning.

• Familiarity with classical statistics and data science.

• Proficiency in Python.

• Excellent communication skills in spoken and written English.

• SQL and database knowledge is a plus.

• Strong motivation to work in a dynamic and fast-paced environment.

We believe in people who are driven by curiosity and are willing to learn. Please also reach out if you don't check all the above requirements.

Why is EthonAI right for you?

We foster a culture where team members can grow and learn from each other. We are dedicated to being the workplace where each of us thrives.

We also offer a good handful of specific benefits:

• Comprehensive compensation package with stock options to become a co-owner of EthonAI.

• On-site work is important, with significant scope for flexible schedules and partially remote work.

• A CHF 2’000 yearly bonus when you take two consecutive weeks of vacation.

• Flexible parental leave.

• Support for continued learning, such as online courses and conferences.

• See your work being deployed in cutting-edge factories around the globe.

• We just moved to a brand new office and we are ready to grow

At EthonAI, there always are plenty of opportunities to step up and take charge. Other keys to our job satisfaction are the palpable impact we have on the real world, and being part of a top-notch team that is focused on a successful outcome for all.

EthonAI is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination. We particularly encourage applications from individuals traditionally underrepresented in tech.