What are the responsibilities and job description for the Computer Vision and Machine Learning Engineer position at APR Consulting?
A Computer Vision and Machine Learning Engineer position just opened up at JPL/NASA in Pasadena, CA. In this role you will be responsible to develop and implement algorithms integrating Computer Vision (CV) and Machine Learning (ML) in support of guidance, navigation and control for spacecraft landing on planetary bodies. To be considered for this position you must have a technical degree (BS), 6 years of relevant experience, and be a US Citizen.
Location: Pasadena, CA 91109
Position: Computer Vision and Machine Learning Engineer
Pay Rate: $63 – 102/hr DOE
Duration: 12 months
Schedule: 9/80 (You’ll be working 80 hours over 9 days, instead of the traditional 10; So for example, you may work 9-hour days Monday through Thursday, and on Fridays, you either work an 8-hour day or take regular day off.)
We do offer paid time offs, holidays, 401k, medical, dental, and vision
SUMMARY
Job Duties:
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Don't miss out on this amazing opportunity! If you feel your experience is the match for this position please apply today and join our team. We look forward to working with you!
#SPC1
Location: Pasadena, CA 91109
Position: Computer Vision and Machine Learning Engineer
Pay Rate: $63 – 102/hr DOE
Duration: 12 months
Schedule: 9/80 (You’ll be working 80 hours over 9 days, instead of the traditional 10; So for example, you may work 9-hour days Monday through Thursday, and on Fridays, you either work an 8-hour day or take regular day off.)
We do offer paid time offs, holidays, 401k, medical, dental, and vision
SUMMARY
Job Duties:
- Develop and implement algorithms integrating Computer Vision (CV) and Machine Learning (ML) in support of guidance, navigation and control for spacecraft landing on planetary bodies.
- Includes image-based hazard detection (HD)
- Includes map-relative localization
- Implement and test CV and ML solutions in support of broader GN&C objectives.
- Create high-fidelity simulations to validate HD and other vision algorithms.
- Bachelor’s degree in a technical discipline with 6 years of relevant experience, or a Masters degree with 4 years of relevant experience, or a Ph.D. with 2 years of relevant experience.
- Strong technical background in computer vision and machine learning with specific application to space or space-based systems.
- Extensive experience in Software Engineering and the practical implementation of Machine Learning or Computer Vision including for real-time applications.
- Proven track record in development, testing, and validation of autonomous, vision-based algorithms in complex environments.
- Excellent communication and interpersonal skills, with a proven ability to present findings to diverse stakeholders.
- Experience with Terrain Relative Navigation (TRN) and the integration of vision-based sensors into closed-loop GNC architectures.
- Demonstrated experience in technical leadership and managing project resources or mission-specific deliverables.
- Expertise in the calibration and error-budgeting of sensors including IMUs, SRUs, LIDAR, and Vision systems.
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Don't miss out on this amazing opportunity! If you feel your experience is the match for this position please apply today and join our team. We look forward to working with you!
#SPC1
Salary : $63 - $102