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Here at Planet Labs, we launch spacecraft early and often. From tech demos to operational constellations, we're designing, manufacturing and launching record-breaking numbers of spacecraft. Exceptional interns are needed for design, prototyping and testing of edge compute modules and algorithms for processing data onboard satellites.
Impact You’ll Own:
- Hardware/software co-development of edge computing solutions for Planet’s next generation spacecraft
- Develop pre-processing of raw imagery onboard the satellite to make them useable by the machine learning algorithms
- Collaborate with the analytics machine learning team to implement deep-learning-based classification systems on pre-processed imagery for identifying, characterizing, and classifying objects
- Explore and develop new methods for improving detection performance and improving the runtime of inference
What You Bring:
- Experience with computer vision, machine learning, and deep learning-based approaches
- Proven ability deploying algorithms and solutions to solve real-world problems in computationally constrained environments
- Proficiency in C++, Python, or related tools and system SW architecture
- MS or PhD in EE/CS/Physics
What Makes You Stand Out:
- Hands-on work on managing and doing GPU-based computing on large data sets
- Experience with machine learning on earth observation data sets
Compensation:
The US base salary range for this full-time position at the commencement of employment is $40 - $50 per hour. The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Here at Planet Labs, we launch spacecraft early and often. From tech demos to operational constellations, we're designing, manufacturing and launching record-breaking numbers of spacecraft. Exceptional interns are needed for design, prototyping and testing of edge compute modules and algorithms for processing data onboard satellites.
Impact You’ll Own:
- Hardware/software co-development of edge computing solutions for Planet’s next generation spacecraft
- Develop pre-processing of raw imagery onboard the satellite to make them useable by the machine learning algorithms
- Collaborate with the analytics machine learning team to implement deep-learning-based classification systems on pre-processed imagery for identifying, characterizing, and classifying objects
- Explore and develop new methods for improving detection performance and improving the runtime of inference
What You Bring:
- Experience with computer vision, machine learning, and deep learning-based approaches
- Proven ability deploying algorithms and solutions to solve real-world problems in computationally constrained environments
- Proficiency in C++, Python, or related tools and system SW architecture
- MS or PhD in EE/CS/Physics
What Makes You Stand Out:
- Hands-on work on managing and doing GPU-based computing on large data sets
- Experience with machine learning on earth observation data sets
Compensation:
The US base salary range for this full-time position at the commencement of employment is $40 - $50 per hour. The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
