Your mission

Becoming part of the VIDA Product team means joining on a journey of challenging work at the intersection of technology and social impact. We are looking for a Machine Learning Application Engineer (d/f/m) to join our team. You would be the first dedicated ML Engineer hired in a team with a solid foundation of Data Engineering, Backend and Devops to make your work impactful.Your responsibilities:

• Building new models in line with the product vision and customer requirements. This could include domains such as predictive climate and land use change models, flood monitoring, feature extraction from satellite imagery, more advanced clustering and analytics on global-scale datasets.
• Work with current-generation foundation models in the Earth Observation space (e.g. Clay, IBM) to understand current state-of-the-art, potentially contribute and put into production.
• Maintain and strengthen our current-generation tools: We have several geospatial analytics pipelines in production, which are widely used (e.g. including spatial clustering, multi-step satellite imagery processing including thresholding, convolutional filtering, comparison with ground truth). We want to benchmark and evaluate these tools against other available datasets and also ensure they work well in different geographies world-wide.
• Use the current generation LLMs to improve the UX of our analytics toolset and data catalogue to provide site risk assessments globally. This could include:
  • Building prototypes using commercial models (e.g. OpenAI)
  • Running LLMs in our own cloud infrastructure (e.g .through VertexAI, HF, etc.)
• Championing use of LLMs in-house for tooling within the Engineering team.

Is it you we’re looking for?

• Solid grasp of ML and more broadly data science concepts and associated libraries such as PyTorch, Tensorflow, sklearn, etc.
• Willingness and interest to build prototypes with the latest LLM tools, understanding LLM app architecture.
• CS or related degree + 3 years of experience in production-grade software engineering and/or data science, experience developing and putting ML and analytics workflows into production a strong plus.
• Experience with latest generation of ML platforms (e.g. VertexAI, HF, LightningAI, Weights&Biases) a plus.
• Understanding of cloud services (Google Cloud Platform preferred) beyond just ML services for scalable data processing and model deployment a plus. Proficiency in IaC frameworks like Terraform is a plus.
• Experience working with geospatial data is a plus.

Data engineering tools we currently have in use:

• BigQuery
• GEE
• GCP Workflows

Tools to pick up (you will have a strong say in which ones to use):

• VertexAI, HF, W&B, BigQuery ML, Sagemaker, etc.

We are a remote-first team and advocates for flexibility - you have the flexibility to work from any location within Europe and Africa time zones.

What we offer

⚡Mission: VIDA is more than just another software company. As our work goes beyond lines of code and interfaces you’ll have the chance to create tangible impact in real lives.⚡Equity: We want to reward our team’s hard work and dedication. As we believe in fostering a culture where everyone can participate in the success of the company, we will make you part of our VSOP program.⚡Impact & growth: It’s an exciting time to join us! Shape our success story and company culture from the ground up and see the direct influence of your work.⚡Diversity: Our team's diversity is truly exceptional. With more than 15 nationalities on board already today and team members spread across the globe, you'll connect and learn from a wide range of perspectives.⚡Fully remote working & flexibility: We're strong advocates of autonomy and flexibility. We allow you to determine when and where you get your stuff done most effectively.⚡Tech & tools: We understand the importance of having the right tools to empower your work so you are free to choose the device you work most efficiently with.⚡Development and setup budget: You'll receive a 500€ setup budget to equip your workspace and an additional yearly 500€ educational budget to invest into your professional growth.⚡28 vacation days plus public holidays of your country of residence.⚡Option to work from our Munich or Kigali offices (Norrsken House).

Sounds exciting?

If you're passionate about leveraging the power of technology to drive meaningful social impact and joining a mission-driven environment, we would love to hear from you. Please submit your application via the job advertisement and in case of any difficulties of applying, feel free to reach out to us via jobs@vida.place email. Learn more about VIDA and our current projects at vida.place or on LinkedIn.We're looking forward to receiving your application!In case your experience doesn’t fit all of the criteria, make sure to get in touch anyways!