Machine Learning Engineer, Applied AI
vor 2 Wochen
We are seeking a highly skilled Machine Learning Engineer to join our team at one GmbH. As a key member of our engineering team, you will be responsible for developing and integrating new AI and ML approaches to power our internal Material Science Platform.
This role requires a strong scientific background or experience with scientific data, as you will be developing machine learning and LLM systems based on materials engineering, chemistry, and physics-derived knowledge.
You will also be designing AI agents that emulate scientific reasoning, working closely with stakeholders and other engineers to evaluate and optimize our systems for performance and accuracy.
This is an exciting opportunity to work on cutting-edge AI research and development, with a focus on sustainable materials and clean packaging.
Key Responsibilities- Develop and integrate new AI and ML approaches to power our internal Material Science Platform
- Design and develop AI agents that emulate scientific reasoning
- Work closely with stakeholders and other engineers to evaluate and optimize our systems for performance and accuracy
- Extensive hands-on experience of developing and implementing advanced machine learning or AI systems
- Experience spearheading ML and data-heavy projects
- Experience bringing machine learning applications to production (end to end development)
- Strong programming skills in Python, familiarity with libraries and tools such as langchain/haystack, pytorch/tensorflow, spancy/nltk, scikit-learn, MLflow, GCP, VertexAI, etc.
- Experience working with complex, scientific/chemistry-like data and metadata
- Strong problem-solving skills and ability to work independently in a remote set up
- Ability to work independently and proven stakeholder management
- Experience implementing and coordinating with domain experts in multifunctional environments
- Fluency in English, as this is our working language
At one GmbH, we are committed to protecting our planet by developing materials for clean and closed material loops. We are a remote-first team, and this role can be based anywhere but willing to work approx UTC/UTC+2 core hours, in order to overlap with the bulk of our European based team.
We are proud of the culture we have built to support diversity and inclusion, and we seek to ensure that all employees are afforded equal opportunities and treatment, irrespective of any qualifier, in all aspects of recruitment, employment, training, and determination of benefits.
Hiring ProcessWe want you to know what to expect out of your candidate experience with us and make this as much as possible a two-sided process, allowing you to get to know us as well.
Once submitted, your CV will be reviewed by the People team, and shortlisted for interviews.
Everyone will be contacted to find out the outcome of their application.
We have four interview stages:
- Introduction Google Hangouts call with our Talent Manager - to share more about one GmbH and how we work & find out how that meets your experience and expectations of the role.
- Technical interview with Head of Software & Data and another senior stakeholder - to dig into the day-to-day of the role more and answer any questions you may have for us.
- Presentation of a short demo of an ML project followed by brief Q&A.
- Final introduction to key stakeholders in the business to better build your understanding of your future function, as well as discuss our core values.
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