Machine Learning Engineer
Description For Machine Learning Engineer
Rebel Space is seeking a talented and experienced Machine Learning Engineer to join our growing technical team. At Rebel Space, our mission is to protect critical space infrastructure through enhanced observability and space system cybersecurity. We believe that as space infrastructure expands, it will be increasingly difficult to secure and monitor these systems against critical failures or evolving cyber threats. To address this, we are building software that empowers developers and operators to rigorously evaluate and secure their systems from conception through to operations.
As a Machine Learning Engineer at Rebel Space, you will work with our engineering team to develop high-quality prototypes by applying research, design, and engineering best practices. Your responsibilities will include:
- Defining and owning system-wide data architecture
- Researching and prototyping ML architecture and workflow optimization techniques
- Developing proofs-of-concept for customized optimizations
- Creating data collection, labeling, and evaluation pipelines
- Researching and developing ML models for environmental and RF sensor resources
- Extending existing ML libraries and frameworks
- Creating reliable software through various development practices
- Owning technical projects from start to finish
We value experimentation and seek to actively create positive change through technological innovation. We work in a collaborative environment where new ideas can be shared and explored respectfully. We are based out of Long Beach, California, and operate on a hybrid schedule.
Join us in building the space security infrastructure of the future and be part of a team that's shaping the future of space technology!
Responsibilities For Machine Learning Engineer
- Define and own system-wide data architecture
- Research, prototype, and survey different ML architecture and workflow optimization techniques
- Develop proofs-of-concept of customized optimizations
- Develop data collections, labeling pipelines, and evaluation pipelines
- Research and develop machine learning models for environmental and RF sensor resources
- Extend existing ML libraries and frameworks
- Create and deliver reliable software through various development practices
- Own technical projects from start to finish
Requirements For Machine Learning Engineer
- Bachelor's degree in Computer Science, Electrical Engineering, Physics or related technical discipline with 5+ total years of industry experience
- Strong expertise with machine learning (ML) frameworks such as Tensorflow, PyTorch, Scikit Learn, or Spark MLlib
- Demonstrated experience working with programming languages such as Python, C/C++, or Go
- Familiarity with overall big data analysis, system backend integration with new ML systems, and large-scale data processing
- Excellent understanding of algorithms, data structures, and coding standards
- Strong communication and behavioral skills
- Motivated self-starter that can work autonomously and as part of a team
Benefits For Machine Learning Engineer
- Stock Option Plan – Equity in Rebel Space
- Generous PTO including flexible vacation, sick and company paid holidays
- Premium healthcare including Medical, Dental and Vision insurance
- Life Insurance
- Maternity/Paternity Leave
- Flexible hybrid in-person and remote work schedule
- Professional growth opportunities
