EET is a pioneer in the development of energy storage solutions for plug-in balcony solar. Our innovative SolMate(R) product can be set up effortlessly by anyone, with plug-and-play technology eliminating the need for conventional metering hardware or installation by a professional. Our patented technology for virtual energy metering provides unparalleled simplicity in maximizing solar self-consumption through advanced machine learning. We have ambitious goals for our new product generation, and we are looking for colleagues to join us on our mission.
Senior Machine Learning Engineer (m/w/d)
Fulltime, Hybrid (Graz / Remote), starting immediately
We are seeking an experienced Machine Learning Engineer to bridge the gap between fundamental research and product development. In this role, you will transform cutting-edge ML innovations into robust and scalable commercial products for virtual energy metering. Working alongside our SW engineering team, you will be responsible for optimizing and enhancing ML models and ensuring their reliability at scale. You will play a crucial role in architecting systems that can handle real-world data and effectively drive customer value.
Your responsibilities
- Collaborate with the ML research team to transform innovative concepts into commercial products.
- Analyze household data patterns to enhance model architecture & parametrization.
- Validate results through field testing and refine models based on these findings.
- Work closely with the software team to integrate ML models seamlessly into the SolMate software.
- Optimize model inference to run efficiently on our edge-infrastructure (Raspberry Pi 4).
- Incorporate MLOps practices to automate and streamline model deployment.
- Share your ML expertise and implement state-of-the-art ML best practices.
What makes you a great fit
- 3+ years of experience as a Machine Learning Engineer and 6+ years of work experience.
- Extensive knowledge in ML (time-series models), MLOps and software development (Python, PyTorch, TensorFlow).
- Demonstrated ability to translate proof-of-concept models into production-ready software.
- Customer-first approach to decision-making, carefully balancing customer and business needs.
- Proficiency in bridging diverse teams and aligning competing priorities.
- Independent and agile mindset with a strong sense of ownership.
- Understanding of electronics, energy storage and mathematical optimization techniques is a plus.
Why should you join us?
We feel strongly about building a collaborative and supportive workplace culture and we seek candidates who share our vision of empowering everyone to take part in the global energy transition. EETs patented technology represents a groundbreaking innovation in plug-in PV and BESS and youll help shape the most important component of this transformative consumer product.
We spend most of the time in our beautiful city-center office in Graz, but we embrace a hybrid work model with flexible home-office policies. We do require regular office presence for this role, as we believe it is essential for fostering effective collaboration. We offer a variety of additional benefits like subsidized public transport tickets and free lunch all benefits can be found at www.eet.energy/at/ueber-uns/karriere-bei-eet/.
In the interview process we take a lot of time for applicants, and it also includes informal conversations to help candidates get to know the team and workplace environment.
As an employer, we value diversity and support people in developing their potential and strengths, realizing their ideas and seizing opportunities. We welcome applications from all individuals, regardless of age, ethnicity, religion, gender, sexual orientation, or background.
For legal reasons, we note that the minimum salary for this position under the collective agreement is EUR 3,809.29 gross per month (full-time basis, 38.5 hours). However, we offer a minimum salary of EUR 60,000.00 gross per year and are committed to providing additional compensation based on qualifications and professional experience.
We look forward to receiving your application via apply smart (including CV and optional cover letter).
EET - Efficient Energy Technology GmbH
Christoph Grimmer
Annenstraße 23
8020 Graz
Web: https://www.eet.energy/