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Machine Learning Engineer for Sustainable Food Production
1 week ago
Improvin' is a pioneering company tackling one of the world's most pressing challenges: producing more food sustainably.
Our mission focuses on primary production, accounting for over 70% of the food industry's emissions. We empower food brands and processors to measure, report, and reduce their climate impact through our solution.
We believe in a vital and urgent cause, driven by consumers, legislators, and forward-thinking food companies.
If you want to make your mark, consider helping the food industry become more sustainable, field by field.
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. We seek someone dedicated to creating value and improving users' daily lives. For this, you need to share our mission and be passionate about building data products – from developing ETL flows and our data lake to working with large datasets, building machine learning models, and integrating with our web platform.
Machine learning will play an increasingly crucial role across our platform. Computer vision and remote sensing, such as field boundary and crop type detection, are already essential areas and will continue to be vital. 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 plan. We strive to provide all necessary tools for you to excel and support your professional growth as our 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 weekly. We accept applicants from both inside and outside the EU, and we will do our best to support your transition.
Most importantly, we believe that a diverse workforce is crucial 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.
Your Impact- Develop and maintain high-quality, 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.
