Orbital Sidekick · 6 months ago
Applied Scientist - Remote Sensing & Analytics
United States
Full-time
Remote
Mid Level
$110K/yr - $160K/yr
3+ years expOrbital Sidekick (OSK) is revolutionizing how the world understands and interacts with our planet through their advanced hyperspectral satellite data and analytics. They are seeking an Applied Scientist who will take ownership of machine learning solutions, collaborating with scientists to build production systems and internal tools, while optimizing for impact and driving continuous improvement.
AerospaceInformation TechnologySatellite Communication
No H1B
U.S. Citizen Only
Responsibilities
Identify and solve real problems: Collaborate with scientists to understand needs, then design and build the infrastructure to address them
Build production ML systems: Develop robust pipelines using orchestrators (Prefect, Airflow, Dagster) that move models from research to production
Create internal tools: Build developer-friendly tools that accelerate team productivity and model development workflows
Own the ML infrastructure: Design and maintain model repositories, experiment tracking, monitoring, and deployment systems
Bridge theory and practice: Apply ML theory to solve practical problems while building scalable, production-ready solutions
Optimize for impact: Focus on cloud resource optimization, model performance, and system reliability that directly supports product goals
Drive continuous improvement: Establish CI/CD, automated testing, and monitoring systems that ensure robust, reliable deployments
Qualification
Required
3+ years of experience as an applied ML engineer or research engineer
BS, MS, or PhD in Computer Science, Engineering, Physics, Mathematics, or related field
Strong foundation in ML theory combined with hands-on experience building production systems
Comfortable developing internal tools, APIs, and user interfaces that solve real problems
Proven experience architecting and maintaining complex workflows in orchestration frameworks
Track record of identifying needs, proposing solutions, and driving projects to completion
Hands-on experience deploying, monitoring, and maintaining ML models in cloud environments (AWS)
Technical Stack: Python, PyTorch, Weights & Biases, MLFlow, DVC, Ray, Dask
Experience with workflow orchestrators (Prefect, Airflow, Dagster)
Cloud platforms (AWS) and containerization (Docker, Kubernetes)
Software engineering best practices (testing, CI/CD, version control)
U.S. citizen or a lawful permanent resident of the U.S., or eligible to obtain the required authorizations from the U.S. Department of State
Preferred
Experience building internal tools that other engineers love to use
Background in geospatial analytics, remote sensing, or hyperspectral data
Open source contributions or side projects that demonstrate building instincts
History of taking research prototypes to production scale
Passion for environmental applications and real-world impact
Benefits
Compensation includes a competitive equity package.
Company
Orbital Sidekick
OSK is a satellite-based hyperspectral monitoring service helping organizations meet their sustainability and security goals.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$55.4MKey Investors
Energy Innovation CapitalTemasek HoldingsAllied Minds
2024-11-07Series Unknown· $8.63M
2023-01-31Series Unknown· $10M
2021-01-04Series A· $16M
Leadership Team
Daniel Katz
CEO & Co-Founder
Tushar Prabhakar
COO & Co Founder
Recent News
Business Standard India
2025-07-08
Company data provided by crunchbase