Job Description

The Junior ML Engineer position at Eartheye Space requires the selected candidate to develop machine learning models for the feed product. Reporting to the feeds team lead, you will work independently. Eartheye Space is a fast-paced organisation, and you will be accountable for the timely delivery of well-performing models.

Work Experience

You should have:

• At least three years of software development and two years of CV/ML model development
• Hands-on experience with supervised and unsupervised learning methods, with working knowledge in segmentation, classification and detection methods
• Worked with satellite imagery and have a working knowledge of remote sensing and GIS
• Knowledge of Python programming
• Delivered under tight deadlines
• Worked in an agile environment with constant change
• Clear communication skills—both spoken and written English

Why join the Eartheye Space team?

• Cutting-edge technology work: an opportunity to work in ground-breaking Earth observation technologies and datasets—imaging and non-imaging—in a cloud environment.
• Career growth: An exciting category-creating company entering a rapid growth phase, which means many job openings and career growth opportunities for the core team members
• Employee equity: Early-stage equity and stock options can experience significant value growth in the next rounds of funding and growth
• Global mobility: With an international client base, there will be transfer opportunities as the company grows internationally
• Mission and the Journey: Building a high-performing company on the foundation of: (I) Delighted customers, (II) High-performing teams, (III) Innovative products, (IV) Stellar results.