About DBtune

DBtune is an innovative AI startup based in the vibrant Malmö area, a short train ride away from Copenhagen, Denmark, and Lund and Helsingborg, Sweden. Since our founding in 2020, our dedicated team of Ph.D. researchers and engineers have been on a mission to revolutionize cloud and database systems using Artificial Intelligence and Machine Learning.

DBtune's core technology is a fully automated service designed to optimize databases. Our optimizer, based on machine learning, tailors each optimization to the specific customer workload and hardware in use. This approach leads to improved key performance indicators, making the process of database tuning more efficient and scalable across hundreds of instances. By utilizing DBtune, users enhance their databases' performance while significantly reducing cloud costs and environmental impact.

We have garnered seed funding support from institutional and angel investors in the EU and the US, along with pre-seed funding from the Knut and Alice Wallenberg Foundation (KAW). With a growing customer base, DBtune is poised to expand its influence even further, scaling our operations to bring AI-driven database optimization to a broader audience.

Job overview

We are actively seeking to expand the team with a new machine learning engineer to help further develop and fine-tune our in-house database optimization toolset. The focus of this role will be on setting up a robust development environment and enhancing our experimentation platform and data pipelines.

The successful candidate will collaborate closely with our research and development team, in particular, with Dr. Erik Hellsten and Prof. Luigi Nardi.

We are seeking an individual with a strong background in computer science and software engineering, as well as a deep understanding of machine learning and optimization algorithms. The core responsibilities of this position will be the implementation and rigorous testing of new ideas and algorithmic features, as well as conducting proofs of concept with our valued customers. A curious mindset will be invaluable assets for this role. Additionally, candidates should express interest in or familiarity with database management systems.

Requirements

• Bachelor's or Master's degree in computer science, optimization, Machine Learning, or a related field.

• Background in optimization, supervised, unsupervised, and active learning, along with practical experience in building prediction models, Neural Networks, Gaussian Processes, generative models, and expertise in hyperparameter tuning.

• Proficient in Python and hands-on experience with Linux-based systems.

• Strong software engineering skills, including the ability to develop and rigorously test data pipelines.

• Proficiency in reading and understanding scientific material, including papers and technical documentation.

• Demonstrated experience in conducting computational experiments, particularly in cloud environments.

• Enthusiastic about working with database management systems and an eagerness to apply machine learning and optimization techniques to real-world applications.

Work environment

DBtune fosters a dynamic and collaborative work environment where innovation thrives. As a tight-knit team, we value diversity and embrace differences, and we are constantly committed to creating a culture, where everyone feels safe, valued, respected, and included. In our journey, we emphasize a culture of continuous learning and professional growth. We believe in the power of creativity to transform the industry, and we encourage each team member to bring their unique perspective to the table. Our team is multinational and is mostly located on-site in Malmö and partially remote.

Terms of employment

This is a permanent position, presenting abundant opportunities for professional growth and development at DBtune. We take pride in offering a robust Swedish benefits package, ensuring our team's well-being and security. Furthermore, we are committed to investing in our team's continuous learning and skill enhancement. This commitment is exemplified through workshops and conferences, to foster personal and professional growth. In recognition of the importance of work-life balance, we provide flexible work hours.

Location

This in-office position calls for regular attendance at our Malmö headquarters, providing ample opportunities for face-to-face interactions and collaboration with our team. DBtune offers flexibility with a 2-day-a-week in-office policy. We're proud to be a part of the Minc startup incubator, a nurturing ecosystem that has played host to renowned companies like Neo4j, Polar Rose, Hövding, and Debricked.

For candidates residing in Denmark, our compensation package is crafted to acknowledge the elevated cost of living and ensure an appropriate salary adjustment. Furthermore, the implemented 2-day-a-week office policy offers a flexible and manageable work arrangement, making commuting to the office less burdensome. 

How to Apply

Applications must be written in English and compiled into a PDF-file. They should contain:

1. Résumé/CV.

2. Links to previous work/artifacts such as code samples (e.g., Github, personal site, LinkedIn, direct files, blog posts, etc.).

3. Contact information of at least two professional references. References will be contacted only after the candidate has been informed and following the initial interview stage.

4. Copies of relevant certificates/grades that you wish to be considered.

Join us and be part of a vibrant community of passionate innovators shaping the future of data science.