Jobgether

Senior Software Engineer

Remote
USD 143k - 203k
AI Machine Learning Docker Python
Description

Senior Software Engineer

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a [Senior Software Engineer] in [United States].
We are seeking a highly skilled Senior Software Engineer to join a mission-driven team working at the forefront of geospatial analytics and AI/ML. In this role, you will develop and deploy cutting-edge machine learning methods to transform large-scale multi-modal imagery and sensor data into actionable intelligence. You will take ownership of core product pipelines, ensuring full-stack stability, scalability, and continuous innovation. Operating with a high degree of autonomy, you will collaborate across cross-functional teams while solving complex technical challenges that have global impact. This role offers a unique opportunity to apply advanced AI/ML expertise in a fast-paced, collaborative environment that values innovation, autonomy, and technical excellence.

Accountabilities:

  • Lead the development and deployment of full-stack AI/ML solutions for geospatial data, including EO, MSI, and SAR imagery.
  • Take ownership of core product pipelines, ensuring stability, scalability, and continuous improvement.
  • Apply advanced algorithms, computer vision, and perspective geometry to extract actionable intelligence from multi-modal data.
  • Design, implement, and maintain front-end interfaces, database systems, and containerized environments (Docker) to support operational needs.
  • Collaborate with cross-functional teams to prioritize technical solutions and expand team capabilities.
  • Solve complex technical problems independently while mentoring team members on best practices and innovations.
  • Contribute to the strategic expansion of technology applications beyond existing domains, supporting long-term organizational goals.
  • Requirements:
  • 6+ years of professional experience in software engineering or related fields.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • Expertise in AI/ML, including advanced algorithms, mathematical foundations, and large-scale data processing.
  • Proficiency in multi-modal data processing (EO, MSI, SAR), computer vision, and perspective geometry.
  • Full-stack development experience, including front-end GUI, database management, and containerization (Docker).
  • Strong problem-solving skills with the ability to operate autonomously in complex technical environments.
  • Ability to obtain and maintain TS-SCI or DoD TS security clearance.
  • Excellent communication and collaboration skills with cross-functional technical and non-technical teams.
  • Benefits:
  • Competitive US salary range: $142,800–$203,200 depending on location and experience.
  • Fully remote work options (with hybrid office expectations if near company offices).
  • Comprehensive medical, dental, and vision plans, plus Health Savings Account (HSA) contributions.
  • Generous paid time off, including holidays, company-wide days off, and 16 weeks paid parental leave.
  • Wellness and Employee Assistance Programs (EAP).
  • Home office, phone, and internet reimbursement.
  • Tuition reimbursement and access to professional learning resources.
  • Equity and performance-based incentive opportunities.
  • Volunteering Paid Time Off and commuter benefits where applicable.
Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.


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