Senior Geospatial CV/ML Engineer

Tenure: full-time, permanent

Location: work from office, Trivandrum

Eartheye Space is a fast-paced space-tech company known for its situational awareness offerings. You are responsible for the research and development, productisation, and timely delivery of the Eartheye platform's computer vision (CV)/machine learning (ML) model requirements. This geospatial AI engineer role is critical to the company's Feed (use cases) offerings. You will work collaboratively with the platform engineers.

Your expertise includes:

• CV/ML model development for deployment at scale
• Remote sensing
• Worked in the AWS or equivalent cloud environment
• Object detection, feature extraction, and change detection
• Working knowledge in one or more of the following: multispectral, hyperspectral, SAR, or thermal data

Work experience and expectations

You should have:

• At least five years of geospatial AI model development experience. Please don't apply if you don't have the required experience; we won't get in touch with you.
• Worked with satellite data, especially satellite imagery.
• Hands-on experience with supervised and unsupervised learning with expert knowledge in segmentation, classification and object detection methods.
• Expert knowledge of Python programming.
• Experience working with foundational models and GenAI.
• Experience building MLOps pipelines and cloud-based development and deployment.  
• Worked in a fast-paced environment. By our cadence, 1-2 feeds a month.
• Must be able to solve complex problems under tight timelines.
• Highly attentive to detail.
• Research-driven and self-motivated.
• Ability to work independently and collaboratively.
• Able to work in an agile environment with constant change.
• Clear communication skills—both spoken and written English.

Qualification: Bachelor's, Master's or PhD in computer science or equivalent.

Offer: competitive salary and stock awards.

Why join the Eartheye Space team?

1. Cutting-edge technology work: an opportunity to work in groundbreaking Earth observation technologies and datasets—imaging and non-imaging—in a cloud environment.

2. 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

3. Employee equity: Early-stage equity and stock options can experience significant value growth in the next rounds of funding and development.

4. Global mobility: With an international client base, the company will have transfer opportunities as it grows internationally.

5. 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.