- Flexible working schedules: You will be based in our modern Vienna office but will have the flexibility for hybrid work-from-home arrangements. Talk to us at the application stage about any scheduling preferences you may have.
- Employee Option Plan: You get equity in IONATE, so as we succeed so do you.
- Career Development: It's important to us that you have the opportunity for ongoing professional development and career growth.
- Company pension: a competitive, flexible, and sustainable pension product to help you plan for your future.
- Slow travel: We believe in a low carbon future, so if you wish to take holiday that involves travel by a lower carbon method – but it takes much longer than flying - we offer two paid 'slow travel' days per year.
Developer for ML/AI, Data Scientist - Vienna, Österreich - IONATE
Beschreibung
(M/W/D)
Salary: €70,000-85,000
Full-time hybrid with Vienna office base
IONATE is a deep technology start-up building the technology backbone for smart electricity grids. Our Austrian team is looking for an Mid-Senior Level Developer for ML/AI or Data Scientist to support our work on game-changing green technology and grow within our world-class team.
Requiring a solid full-stack and architecture expertise, this position will involve working directly with our software team based in Vienna. You will play a key role through all aspects of the technology development lifecycle, taking concepts through to commercial product for customers.
With a focus on developing distributed systems, scalable applications, and using AI and machine learning techniques, you will be active in initiating and leading design reviews and technical discussions and will have an innovative approach with engineering reasoning. Importantly, your work will include supporting project and test activities and contributing to ensure that these are completed within schedule and budget.
What you will do:
· Work as part of our expert multidisciplinary team distributed across Europe
· Shape the architecture and machine learning stack for the revolutionary concept for IONATE's connected transformers together with the team
· Lead the machine learning and AI-driven tasks
Requirements
What you will need:
· Degree in Computer Science or Related Field: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
· Extensive experience in designing and implementing AI/ML algorithms and models for forecasting and classification
· Proficiency in handling and processing high-speed time-series data, preferably with experience in data sampling at rates up multiple kHz.
· Skills in exploratory data analysis (EDA) of large datasets to extract meaningful insights, particularly in the context of electrical data.
· Demonstrated ability in developing AI software solutions for identifying and resolving issues in electricity grids.
· Capability to create AI-driven solutions for autonomously proposing and implementing mitigation strategies for grid issues.
· Solid experience in coding Javascript, Nodejs, Typescript, Python and/or other AI/ML related technologies
· Proficiency implementing and utilizing cloud-based ML processing technology stacks and pipelines (Azure ML/AWS/etc.)
· Experience in Data Science tasks (Collection, Pre-processing, EDA, Feature Engineering)
· Skills for visualizing complex data in web applications
· Self-management and drive; willing to proactively take on complex challenges
· Ability to problem solve and think of solutions to difficult technical problems you might not have encountered before
· Strong delivery focus, taking on end-to-end ownership of projects and/or products
It would be useful to have:
· Knowledge in the power systems area
· Good written and verbal communication skills
Benefits
Your Benefits:
About IONATE
Driven by first-principles engineering, IONATE is transforming power systems for the energy transition.
Our hardware is the Hybrid Intelligent Transformer (HIT): a new building block for the power grid and everything connecting. It integrates into the network like a transformer but solves key power quality issues through all-in-one power flow control. Beyond the passive voltage step, it provides data visibility, stepless and dynamic voltage control, harmonics removal and reactive power control with millisecond-precision. Its innovative hybrid design leveraging magnetic control makes it a robust, reliable, and affordable upgrade.
While deployed to remove constraints and prevent issues, HITs effectively light up real-time control nodes for the very first time. Once placed in strategic points of the network, IONATE's AI platform can coordinate them to form a true smart system, coupling top-down grid orchestration with instantaneous bottom-up control in the physics. This full stack will achieve real-time system optimisation and turn the passive old grid into a flexible, decentralized platform that catalyses innovation.
3 reasons why you should apply:
You'll work on something that matters. The most rewarding aspect of our job is seeing what we build in the lab get used in the real world. As our tech gets used in solar farms, batteries, and electricity grids, your work will help shape the future of the green energy transition .
The thinking you'll do here is not your average exercises on repeat. Building a brand-new class of tech requires cutting-edge ideas. If you like to solve unconventional problems, to be given freedom to explore, to challenge – and be challenged by – field experts, you will fit just right in.
The rocket ship is taking off. Our innovation has been proven and demand is immense. IONATE is now rapidly scaling up and undertaking global projects. Joining early and working side-by-side with our leadership team means ample opportunity to grow your role together with our company.
IONATE has a friendly team that collaborates and supports one-another. If you don't fit all the description above, but you are passionate about the work we are doing and could add value to our team, please get in touch. We believe in making positions fit the skills of people, not the other way around. We are also committed to providing equal opportunities, an inclusive work environment, and fairness for everyone. We value diversity in race, gender identity, sexuality, age, family or civil status, disability, religion, or ethnicity and encourage you to apply wherever you come from.