Machine Learning Engineer for Sustainable Food Systems
2 days ago
About Improvin'.
Improvin' aims to tackle one of the world's largest challenges: sustainable food production. Our solution focuses on primary production, accounting for over 70% of the food industry's emissions. We help food brands and processors measure, report, and reduce their value chains' climate impact.
We strive to make a vital and urgent impact demanded by consumers, legislators, and progressive food companies. Would you like to contribute to making the food industry more sustainable?
About the RoleAs a Machine Learning Engineer at Improvin', you will play a key role in developing a platform that helps companies in the food industry lower their climate footprints. You will need a strong belief in our mission and a passion for creating data-driven products.
We are looking for someone with experience running machine learning models in production. Computer vision and remote sensing, such as field boundary and crop type detection, are already key areas and will continue to be important. Predictive models are also a major part of our future, with existing examples including yield prediction.
You will receive competitive compensation, 30 days of paid vacation, and a pension. We will provide all necessary tools for you to excel and support your professional growth as our fast-scaling business evolves.
About the TeamWe use English as our working language. Our hybrid work setup is flexible, but we expect you to come into the office on a weekly basis. We accept applicants from both inside and outside the EU, and we will do our best to support your transition.
We believe that a diverse workforce is essential to our success. We are committed to creating an inclusive workplace where all employees feel valued, respected, and supported, regardless of race, ethnicity, gender, sexual orientation, religion, age, or disability.
How You Make Impact- Develop and maintain data-focused products and machine learning models with an emphasis on performance and availability.
- Design and implement scalable, reliable, and secure data processing pipelines, storage solutions, and databases.
- Monitor and troubleshoot data platform issues, implementing solutions to prevent future problems.
- Own and implement data security and privacy policies, including access control, encryption, and data masking.
- Contribute to a team's continuous work towards a shared technical vision.
- A proactive approach to identifying pain points, risks, and opportunities in an iterative development process.
- Collaborate with software engineers, analysts, designers, C-level executives, and other stakeholders to understand data needs and develop solutions.
- A strong drive to develop high-quality, data-focused products.
- You likely have 7+ years of hands-on experience or hold a technical leadership role (e.g., Tech Lead).
- A few years of experience running machine learning models in production. Extensive experience in machine learning, particularly in computer vision, can compensate for fewer total years of experience.
- Good communication skills and a commitment to close collaboration with colleagues.
- Experience with cloud-based solutions, orchestration, and containers.
- A strong willingness to learn, receive feedback, and a desire to grow both personally and professionally alongside your team.
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