Machine Learning Engineer OBM/OBD

Join us on our journey to net zero and make an impact on the mobility of tomorrow. We are looking for a Machine Learning Engineer OBM/OBD to join our R&D team.

https://www.aurobay.com/about/introducing-aurobay/) has over hundred years of heritage in creating premium quality engines. With homes in Sweden and China, we have a strong reputation for pioneering practices in the automotive industry. We pride ourselves in our attention to detail and commitment to excellence.

Your role at Aurobay

Our team currently consists of six data scientists, SW engineers, and model-based calibration engineers. We develop new methods for measurement data collection and analysis to help R&D become more efficient and data driven. We also work closely with other advanced engineering teams.

As Machine Learning Engineer OBM/OBD, you will:

- Train and evaluate ML models for predicting emissions
- Work closely together with subject matter experts to align data/measurement requirements and incorporate physical models into the model
- Optimize algorithm memory and CPU load for predictions on the edge together with function developers


You will also use the data we are collecting in our rigs to build models for predicting engine emissions of hazardous species. The models can be used both offline in the development phase, and on the edge for On-Board Monitoring (OBM) and On-Board Diagnostics (OBD) in our customer vehicles. As part of this job, you’ll have the opportunity develop your own machine-learning projects together with the rest of the team. We give our engineers the freedom and time for their own projects, to try out new ideas and fine-tune their skills.

What we offer

In addition to a competitive salary, a great location on Lindholmen, and a genuine work-life balance, we provide the following benefits:

- A yearly wellness contribution of SEK 5 000 for your physical and mental wellbeing.
- A personal and professional development scheme to support your growth.
- Want to drive a car? - Discount to buy a car, and a competitive leasing cost for a company car.
- Additional pension funding.
- Competitive additional and full coverage insurance.


Do you fit the profile?

- You hold a master’s degree or higher in data science, mathematics, statistics, physics or relevant fields.
- You have strong programming skills in Python, Julia, or MATLAB.
- You also have experience in ML algorithms such as linear regression, artificial neural networks, and boosted decision tree regression.


Good to have familiarity with:

- Time series modeling, especially ML algorithms that can be used for time series such as recurrent neural networks, convolutional neural networks, or transformers
- Internal Combustion Engines
- Chemical models for catalytic converters
- Embedded systems


At Aurobay, we are committed to diversity and inclusion. We welcome applicants from all backgrounds and believe that different perspectives and experiences make for a stronger, more innovative company.

How to apply

To apply, please submit your application via the link below. Deadline to submit your application is 31st of January, but the selection process will be running continuously. Please note that due to GDPR, we do not accept applications via email.

We can’t wait to see what you can bring to our team!

Questions

If you have any additional questions regarding the position, you are welcome to contact recruiting manager Erik Fyrk, erik.fyrk@aurobay.com. For questions regarding the recruitment process please contact Recruiter Felicia Eriksson, felicia.eriksson@aurobay.com.

Unionen: Ordf Joakim Dahlin, joakim.dahlin@volvocars.com, tel +46734630172

Ledarna: Ordf Håkan Modigh, hakan.modigh@volvocars.com, tel +46733333801

Akademikerna: Ordf. Henrik Simonsen, henrik.simonsen@aurobay