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Senior Computer Vision Engineer (Remote)Trusted Space, Inc. • New York, New York, United States
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Senior Computer Vision Engineer (Remote)

Trusted Space, Inc.
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Jetzt Bewerben

Über

Overview Position Title: Senior Computer Vision Engineer Requisition ID: TA206 Location: Remote Application Deadline: We are accepting applications on an ongoing basis Who We Are Trusted Space builds solutions both on the ground and in space. Our solutions provide advanced capabilities supporting missions vital to our Nation’s defense, intelligence, and science sectors. Our diverse talented staff of scientists, engineers, and business professionals support critical missions including Space Domain Awareness, Battlespace Awareness & Decision Support, Space Exploration & Science, and the establishment of core Space Infrastructure. Our Culture As a customer-focused service provider, Trusted Space values its employees and clients. We live by our values; central to this principle is the concept to treat others as you would like others to treat you. We offer a collaborative and supportive work environment, world class benefits, and work-life balance. We encourage life-long learning and continuous improvement in all that we do. Each day, we seek to be better than the previous day, embracing our journey to Excellence. We consider it a privilege to work with our customers on their greatest challenges. Job Description Trusted Space is seeking a Senior Computer Vision Engineer with a bachelor\u2019s degree or higher and 8+ years of experience to help build the next generation of battlespace awareness capabilities. You will work alongside a small dynamic team of aerospace and software engineers. Key Responsibilities Technical Execution Leadership : Lead the technical execution of computer vision programs ensuring high-quality model development, testing, and deployment. Strategic Technical Planning : Develop and maintain computer vision technical roadmaps including guiding architecture, algorithm selection, and implementation decisions. Additionally, define work scope packages and milestones, and prioritize feature and capability needs in partnership with program leadership and stakeholders. Lead Model Development : Lead the design, training, and evaluation of computer vision models for detection, identification, classification, and segmentation. Implement models using modern deep learning architectures and frameworks. Optimize models for performance, robustness, and deployment constraints. Lead Dataset curation : Ingest, clean, annotate, and audit terabytes of optical-sensor imagery to guarantee label fidelity and domain relevance for every model-training run. Research & Innovation : Research and evaluate cutting-edge computer vision models, architectures, and approaches. Prototype and test new algorithms to improve system performance. Qualifications United States citizenship required Bachelor’s degree in Imaging Science, Computer Science, Computer Vision, or related field 8+ years of experience in Computer Vision 4+ years of experience leading technical teams to include agile software development methodology, developing technical roadmaps, scoping technical requirements, and features Strong Proficiency in Python, C++, or other relevant languages Experience with ML frameworks like PyTorch, TensorFlow, and scikit-learn Strong foundation in mathematics, statistics, and linear algebra Ability to identify and solve complex problems related to imagery analysis Presenting technical choices and trade-offs to executives and non-technical clients Ability to effectively communicate technical information to executives and non-technical audiences Desired Skills Master’s or PhD degree in Imaging Science, Computer Vision, or Computer Science Experience developing image processing for spacecraft, missile, aircraft, hypersonic glide vehicle, and/or drone detection Experience with modern ML training libraries such as PyTorch Lightning, MLflow, and RayTune Experience designing and training multi-task neural networks that jointly predict segmentation, detection, classification, and motion vectors Experience building and designing modern architectures such as CNNs and Vision Transformers Experience with data analysis tools and techniques such as JupyterLab, Napari, and Monai, and convey complex results Experience with modern offline data labeling techniques Active TS/SCI clearance or eligibility to obtain one Salary & Benefits Salary Range: The salary range for this role is $160,000 - $215,000. Please note that this range is a general guideline and can vary. Trusted Space, LLC considers several factors when extending an offer including, but not limited to: scope, location, position responsibilities, education/training, key skills and business considerations. Benefits Trusted Space seeks to create an environment where Employees are empowered and supported to achieve their full potential. We encourage life-long learning within our Agile & Innovative work environment. We offer competitive compensation and benefits including medical, dental, and vision plans; life and accidental death & dismemberment insurance; 401(k) plan; paid holidays and generous paid time off; short-term and long-term disability insurance; and other benefits to promote health, wellness, and a positive work-life balance. Equal Opportunity Trusted Space, LLC is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, sex, gender, gender identity, sexual orientation, age, marital status, national origin, veteran status, disability status, or any other status protected under federal, state, or local law. All aspects of employment are decided based on qualifications, merit, competence, performance, and business need. DISCLAIMER : Trusted Space, LLC only uses the respective domains of trustedspace.com and trustedspace.us for official contact and any other domains are likely a scam and do not originate from our company.Trusted Space will never ask a candidate for access or pass codes to personal accounts including e-mails, bank accounts, CashApp, Paypal, Venmo, etc. This is a full time position Personal Information * First name * Last name * Email * Address * City * State * Zip code * Phone number Attachments * Attach your Resume Attach Paste Attach a Cover letter Attach Other Information * Are you authorized to work in the United States? Yes No * How did you hear about this position? * Please enter who you were referred by * Please enter how you heard about this position
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  • New York, New York, United States

Sprachkenntnisse

  • English
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