Job description

ABOUT OBSERVABLE SPACE At Observable Space, we're redefining how humanity observes and connects with the universe. We're a vertically integrated, high-growth, space technology company building industry-leading precision optics platforms for Earth and in space. Our systems are trusted by thousands of customers, including NASA, JPL, SpaceX, Boeing, RTX, the US Space Force and the U.S. Department of War, leading research institutions and international partners. We combine precision opto-mechanical hardware, embedded compute, cloud orchestration, and developer-friendly APIs into world class products at scale with in-house manufacturing. From advanced ground stations, on-orbit sensor suites, free space optical lasercom, to distributed compute platforms, we deliver the foundational systems enabling continuous, real-time navigation, observation, and communication in space. Observable Space is backed by top-tier institutional investors including Lux Capital, Upfront Ventures, RTX Ventures, Detroit Venture Partners and Embedded Ventures. To learn more, visit observable.space observable.space. ABOUT THE ROLE We are seeking a highly experienced and motivated Computer Vision Engineer to join our dynamic team. Join a rockstar team of experienced entrepreneurs, engineers, scientists and astronomers from SpaceX, DARPA, SmartThings, and Bird. This role will report to the CTO. RESPONSIBILITIES - Stay abreast of the latest advancements in SDA/SSA, Photometry, and novel image processing techniques by regularly reviewing research papers and publications. - Collaborate with software development teams to conceptualize, develop, and implement proof of concept based on cutting-edge research. - Evaluate, train, and customize combination models based on state of the art backbones (Unet, vision transformer, resenet, etc) - Own our image processing pipelines from end to end - from camera sensor readout to publishing extractions to our cloud data warehouse. - Design and generate simulated data for rapid testing of proof of concept algorithms. - Coordinate with operations and engineering teams to gather real-world data for validating algorithms against synthetic test cases. - Lead complex multidisciplinary research projects, ensuring detailed and rigorous scientific processes. - Effectively communicate complex research findings to both technical and non-technical stakeholders, providing clear and concise insights. BASIC QUALIFICATIONS - 10+ years of experience in a relevant commercial or academic research field. - Strong foundation in mathematics or computational mathematics. - Strong and demonstrated programming ability in C++ or C in a professional environment - Demonstrated experience in first principles engineering and science. - Detail-oriented with the ability to manage and execute complex, multidisciplinary research projects. - Experience in machine learning model training using PyTorch or TensorFlow. - Experience in classical vision techniques with an emphasis on OpenCV. PREFERRED QUALIFICATIONS - Masters or Ph.D. in Engineering, Mathematics, or a related field of study. - Experience in machine learning model training using PyTorch or TensorFlow. - Knowledge or experience in astrodynamics. WHAT WE OFFER Competitive Compensation – A salary package aligned with industry standards and your experience. Equity Opportunities – Take part in our success with stock options. Flexible Work Environment – Enjoy working from our office or in a hybrid work setup with the flexibility to work remotely part of the week. We require a minimum of 3 days per week in our office to support collaboration and team culture. (LA Office only) Unlimited PTO (exempt only) – Take the time you need with our flexible, trust-based vacation policy, including paid holidays. We encourage everyone to rest, recharge, and take care of themselves. Health & Wellness – Comprehensive medical, dental, and vision coverage with 100% of the premium paid by the employer for employees. Cutting-Edge Tools – Get access to the latest hardware and software you need to do your best work. Mission-Driven Culture – Be part of a team working on meaningful challenges with real-world impact. Inclusive Team – We foster a supportive and diverse workplace where all voices are valued. Observable Space is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.

Requirements

Must-haves

Stay abreast of the latest advancements in SDA/SSA, Photometry, and novel image processing techniques by regularly reviewing research papers and publications.
Collaborate with software development teams to conceptualize, develop, and implement proof of concept based on cutting-edge research.
Evaluate, train, and customize combination models based on state of the art backbones (Unet, vision transformer, resenet, etc)
Own our image processing pipelines from end to end - from camera sensor readout to publishing extractions to our cloud data warehouse.
Design and generate simulated data for rapid testing of proof of concept algorithms.
Coordinate with operations and engineering teams to gather real-world data for validating algorithms against synthetic test cases.
Lead complex multidisciplinary research projects, ensuring detailed and rigorous scientific processes.
Effectively communicate complex research findings to both technical and non-technical stakeholders, providing clear and concise insights.
10+ years of experience in a relevant commercial or academic research field.
Strong foundation in mathematics or computational mathematics.
Strong and demonstrated programming ability in C++ or C in a professional environment
Demonstrated experience in first principles engineering and science.
Detail-oriented with the ability to manage and execute complex, multidisciplinary research projects.
Experience in machine learning model training using PyTorch or TensorFlow.
Experience in classical vision techniques with an emphasis on OpenCV.

Nice-to-haves

Masters or Ph.D. in Engineering, Mathematics, or a related field of study.
Experience in machine learning model training using PyTorch or TensorFlow.
Knowledge or experience in astrodynamics.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningrest

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

Pto

Wellness