Mecka.Ai
Senior Product Engineer, Sciences
New York, Remote. Posted a month ago
The role
A Senior Product Engineer will build software and data products for scientific work. You will own products from user conversation through production by working across frontend, backend, and data.
What you will do
- Understand users and set priorities.
- Investigate scientific and operational workflows.
- Design and implement interfaces, backend services, data models and integrations.
- Carry products from prototype into daily use.
- Build processing, validation and delivery capabilities.
- Develop tools for reviewing scientific information, assessing quality and investigating or correcting errors.
- Work with engineering and machine-learning specialists on processing, QA and AI-assisted annotation.
- Test, deploy, monitor and debug software.
- Improve reliability, usability and operating cost.
Required qualifications
- Independently shipping full-stack products from an ambiguous problem through launch and sustained use.
- Strong frontend, backend and data-modeling fundamentals, including data processing and integrations.
- Scientific fluency gained through bench work or sustained software development with experimental scientists.
- Product judgment: understanding user needs, choosing a useful scope and making technical tradeoffs.
- Hands-on responsibility for testing, deployment, monitoring and production debugging.
Nice to have
- Scientific software used in everyday laboratory or research work.
- Founder or early engineering experience with responsibility for users, architecture and delivery.
- Instrument integrations, experimental data systems or tools for reviewing complex datasets.
- Practical AI features that allow users to inspect, validate and correct outputs.
Before you apply
- We may use AI-assisted tools to help evaluate applications against the requirements of this role.
About the company
Mecka AI is building the data infrastructure layer for robotics and embodied AI. They design and operate global systems for data capture, data labeling, and hardware-enabled workflows.