ML Data Engineer @ Elio
Elio.Earth
This job is no longer accepting applications
See open jobs at Elio.Earth.See open jobs similar to "ML Data Engineer @ Elio" Techstars.Software Engineering, Data Science
Vienna, Austria
EUR 90k-110k / year + Equity
Posted on Apr 7, 2025
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ML Data Engineer @ Elio
Type
Full-Time
Location
Vienna (strong preference)
Remote (within Europe)
Equity
Yes
Start Date
ASAP
Salary
€90,000 - €110,000
Interested? Apply here: ML Data Engineer
Join us on our mission to make sustainable manufacturing the norm.
80% of the environmental impact of a product is determined by its manufacturing process design. However, scientists and engineers have no tools that allow them to optimise the sustainability of these processes. Furthermore, once these processes are put in place they will run millions of times.
Our first focus is the 5th most emissions-intensive industry globally: pharmaceuticals. We are building an end-to-end process design platform, that allows scientists and process engineers to effortlessly consider more sustainable alternatives to their consumable products and the process design itself.
You will join …
Kami - CEO (center): Kami has been focused on climate change since age 8, when he wrote to President Lula of Brasil imploring him to protect the Amazon. He studied Bioengineering at Harvard and led novel HIV research at MIT.
Kamil - CTO (left): Prior to Elio, Kamil spent 10 years building 2 successfully exited startups in big data; first as 3rd employee and next as cofounder/CTO. He graduated from the top CompSci program in Canada at the University of Waterloo.
Raul - Founding ML Engineer (right): Raul has been specialising in ML engineering for the last 8 years, bringing a diverse experience in computer vision, NLP, and more. In his last role, he headed the ML team at Kalido, and prior to that, launched his own ML startup.
You are …
Hardworking: You bring your full energy and commitment to everything you do.
An Owner: You own responsibility for your work, your team and your company.
An Autonomous Generalist: You can be given a high level goal for any task and can run with it.
Scrappy: You are continuously evaluating effort vs business value and thus can build in half the time than most because you know what to focus on and where to simplify to achieve the goal
CX obsessed: You obsess over the customer experience.
You will …
build scalable LLM agents and web crawlers to gather a wide variety of datasets and use Ray.io to build scalable processing pipelines to compile novel datasets
use LLM prompting strategies in information extraction, standardization and classification tasks
build the next generation of our bill of materials prediction model
research and implement the next iteration of our product search and matching, leveraging embedding and classification strategies
deploy our models and services on AWS, following AWS best practices
FAQ
What's your motivation?
We wondered: “If the manufacturing world is creating so many sustainable alternatives, why are companies not using them to make more sustainable products?” What we learned after 100+ interviews with scientists and R&D operators is that leaders don’t know what to do. They have committed to ambitious climate goals with no concrete path to achieve them. There are a growing variety of sustainable products and solutions, but evaluating their feasibility is a complex, time-consuming process that requires a lot of expertise. Most experts in the industry don’t have that time to spare. What if you knew for every process design decision what the most sustainable alternative approach was? We want to make this a reality.
Funding?
We’ve raised a $2 million pre-seed round from investors including Ananda Impact Ventures, the former CEO of Merck (top 3 Pharma company) and Alexis Ohanian (co-founder of Reddit).
Can I work from anywhere?
We prefer someone who can move to Vienna for this role and but welcome anyone who is based in Europe. If you are working remotely, we would expect you to come spend a few months out of the year working in person in Vienna or at our retreat locations. If you would like to move to Vienna, Elio would support you in being able to do that.
I don't meet all the criteria, should I still apply?
Absolutely! The most important factor in any startup’s success is finding great people. If you’re excited about what we’re building, please apply anyway. We’d love the chance to make it work.
We’re proud to be an equal opportunity and affirmative action employer. All hires to our team are based on qualifications, merit and business needs. We recruit, employ, train and promote regardless of race, color, religion, disability, sex, sexual orientation, gender identity, national origin, age, veteran status, genetic characteristic or any other protected status.
This job is no longer accepting applications
See open jobs at Elio.Earth.See open jobs similar to "ML Data Engineer @ Elio" Techstars.