Machine Learning Engineer, Applied AI
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Software Engineering, Data Science
Holm, Germany
Posted on Aug 3, 2024
The Role
As a (Senior) Machine Learning Engineer in Applied AI, you will use your skills to develop and integrate new AI approaches to power our internal Material Science Platform.
This role reports to Marta Rodriguez, Head of Software and Data, and has as key stakeholders other data and software engineers, as well as team members throughout the company.
Given the remote first nature of our team, this role can be based anywhere but willing to work approx UTC/UTC+1 core hours, in order to overlap with the bulk of our European based team.
How you'll help build one
We 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 are finalising details of the interview process but we expect there will be three interview stages, starting with a screening call with a member of our People team, to share more about one.five and how we work & find out how that meets your experience and expectations of the role.
Diversity & Inclusion
We are very proud of the culture we have built to support diversity & inclusion and will do everything we can to continue to be an inclusive company where all team members are comfortable, supported and empowered to succeed.
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.
For sake of clarity, all team members and candidates will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation.
If you require any accommodations for the interview process, please include them in your application or in scheduling requests for a first call.
About Us
Protecting our planet by developing materials for clean & closed material loops.
As a (Senior) Machine Learning Engineer in Applied AI, you will use your skills to develop and integrate new AI approaches to power our internal Material Science Platform.
This role reports to Marta Rodriguez, Head of Software and Data, and has as key stakeholders other data and software engineers, as well as team members throughout the company.
Given the remote first nature of our team, this role can be based anywhere but willing to work approx UTC/UTC+1 core hours, in order to overlap with the bulk of our European based team.
How you'll help build one
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- Bring state-of-the-art AI research from concept to implementation to create AI-driven applications with a direct impact on our packaging development processes.
- Work closely with stakeholders and other engineers to evaluate and optimize our systems for performance and accuracy and ensure they are production-ready.
- Surface requirements to other teams (data engineers, domain experts and software engineers) to ensure data harvesting and processing aligns with our AI development needs
- Lead our AI technical strategy by staying on top of the latest developments in machine learning and AI
- 3+ years of experience developing and implementing advanced machine learning or AI systems. Experience with Deep Learning or LLMs is preferred
- Experience bringing machine learning applications in production (end to end development)
- Strong programming skills in Python, familiarity with the usual ML/AI stack
- Experience with vector databases and knowledge graph systems is a plus
- Experience working with complex, scientific data
- 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
- Experience spearheading ML and data-heavy projects
- Fluency in English, as this is our working language
- fıve values
- Duty to care: care for yourself, your colleagues, your work, our offices, and ultimately, our planet
- Create with intent: work with a goal in mind. Ask yourself what you are trying to achieve and constantly evaluate whether your current path is the best way to achieve this goal
- Acknowledge the process: we celebrate our failures and successes together, and keep iterating to improve
- Transparency: all knowledge is accessible to everyone
We 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 are finalising details of the interview process but we expect there will be three interview stages, starting with a screening call with a member of our People team, to share more about one.five and how we work & find out how that meets your experience and expectations of the role.
Diversity & Inclusion
We are very proud of the culture we have built to support diversity & inclusion and will do everything we can to continue to be an inclusive company where all team members are comfortable, supported and empowered to succeed.
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.
For sake of clarity, all team members and candidates will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation.
If you require any accommodations for the interview process, please include them in your application or in scheduling requests for a first call.
About Us
Protecting our planet by developing materials for clean & closed material loops.
