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A leading space technology company in Richmond seeks an experienced AI-Machine Learning Specialist to develop algorithms for geospatial intelligence. The role involves interpreting remote sensing data and mentoring junior staff. Candidates should have experience in Deep Learning, Reinforcement Learning, and signal processing, with strong problem-solving skills. The position offers a competitive salary between $100,000 - $126,000 and comprehensive benefits.
ABOUT MDA SPACE
Building the space between proven and possible, MDA Space is a trusted mission partner to the global space industry. A robotics, satellite systems and geointelligence pioneer with a 55-year+ story of world firsts and more than 450 missions, MDA Space is a global leader in communications satellites, Earth and space observation, and space exploration and infrastructure.
The global MDA Space team of more than 3,800 space experts has the knowledge and know-how to turn an audacious customer vision into an achievable mission – bringing to bear a one-of-a-kind mix of experience, engineering excellence and wide-eyed wonder that’s been in our DNA since day one.
For those who dream big and push boundaries on the ground and in the stars to change the world for the better, we’ll take you there.
We are seeking an AI- Machine Learning Specialist to join our team. The ideal candidate will have experience in Deep Learning, Reinforcement Learning, signal processing, and data analytics. From detecting changes in fragile ecosystems to monitoring northern ice floes and shipping routes, our near-real time Earth observation data makes our Geointelligence team a leader in geospatial imagery, ground stations, enterprise geospatial systems and defence programs. You will join our advanced technology team that has 30+ years of experience delivering commercial and government projects such as RADARSAT-2, RapidEye, Sapphire, CASSIOPE, RADARSAT Constellation Mission and now the CHORUS Constellation of SAR satellites.
This is a role suited for an ambitious professional wanting to solve complex problems and develop novel algorithms that contribute to the betterment of our world. You will contribute to our world leading Synthetic Aperture Radar processors by developing novel signal processing algorithms that generate high value imagery and real-time actionable intelligence for our customers.
As an AI / ML Specialist, you may have a wide range of responsibilities that include:
Successful candidates must obtain and hold security clearance at the reliability status level, and pass security assessment for the Controlled Goods Program (CGP).
We’re a dream team of purpose-driven, collaborative and passionate people, and we are constantly looking for others to join #TeamMDA to ignite new and innovative approaches to problem-solving that push us forward to improve life on and above Earth. If you’re excited to expand our place in space and driven to inspire the next generation, we’ll take you there.
We have entered a new era of exploration and development, and MDA welcomes all who yearn to suit up and be part of it. An equal opportunity employer prizing diversity, integrity and collaboration, we are committed to growing MDA’s and Canada’s leadership in this next golden age.
MDA provides competitive compensation and benefits packages for its employees at all locations. As a team member of MDA, you and your qualified dependents are eligible to participate in a benefit plan that ensures a comprehensive level of protection through competitive health care including; extended healthcare and flexible drug plans, dental and vision benefits, disability income protection, life insurance, group retirement savings plans; and an employee and family assistance program.
MDA is proud to provide accommodation(s) during the recruitment process. Should you require any accommodations, please indicate this on your application/cover letter and we will work with you to meet your accessibility needs.
The compensation range for this position is $100,000 - $126,000 annually. The specific compensation offered will be based on the qualifications and experience of the successful candidate.