Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
The base pay for this position within the Washington, DC metropolitan area is $137,000.00 - $228,000.00 annually. Starting pay is determined based on experience, qualifications, knowledge, skills, geographic work location, and market conditions.
This information is not specified in the job description.
Required skills include current/active TS/SCI security clearance with Polygraph, Bachelor's degree or equivalent experience, 8+ years of relevant professional experience, strong proficiency in Python, experience with RAG models and LLMs, RESTful APIs, and Postgres.
This role is part of an R&D team focused on prototyping and experimenting with cutting-edge technologies and AI in a fast-moving environment. You'll collaborate with researchers and engineers to evaluate approaches and contribute to knowledge-sharing within the team.
Maxar offers dedicated professional development time, conference attendance, corporate partner/industry training, peer groups, paid certifications, education reimbursement, student loan forgiveness, and support from supervisors or mentors to define career trajectories.
Earth intelligence and space infrastructure solutions
Maxar Technologies specializes in Earth intelligence and space infrastructure, providing essential solutions for both government and commercial clients. The company offers services that help clients monitor and understand changes on our planet, including global broadband communications and advanced capabilities for space exploration. Maxar utilizes its extensive experience and commercial technology to deliver solutions that are fast, scalable, and cost-effective. Unlike many competitors, Maxar focuses on delivering precise and reliable data that supports informed decision-making and strategic planning. The company's goal is to generate value through contracts and partnerships, ensuring clients have the information they need to navigate complex global challenges.