Artificial Intelligence Engineer

Position- Senior AI/ML Engineer, Navigation Algorithms

Location- Washington, DC (local only or Nearby candidate)

Duration- Full Time

Interview- Video

We are looking for a Senior AI/ML Engineer to develop ultra-fast navigation and spatial reasoning algorithms for complex 3D environments. This role will focus on algorithm development, evaluation, metrics, and production inference workflows.

About the Role

As a Senior AI/ML Engineer, you will work on navigation-related algorithms that support fast reasoning through complex environments. You should be comfortable developing algorithms, building evaluation methods, analyzing performance tradeoffs, and supporting the data and inference pipelines needed to bring those capabilities into production.

This role is ideal for an engineer with strong Python experience, strong algorithmic instincts, and comfort working in technical domains involving spatial data, simulation, or complex environments. Experience with lower-level or object-oriented languages such as C++ or Go is a plus.

Required Qualifications

• 5+ years of professional software engineering, machine learning, data science, algorithm development, or applied AI experience.
• Strong proficiency in Python and modern engineering or machine learning workflows.
• Experience with navigation, routing, path planning, spatial reasoning, simulation, robotics, geospatial systems, 3D environments, or related domains.
• Experience training, testing, evaluating, and benchmarking algorithms or machine learning models.
• Experience building data pipelines, inference pipelines, or production algorithm workflows.
• Ability to define clear metrics for performance, accuracy, latency, robustness, and reliability.
• Strong understanding of data structures, algorithms, optimization, and production AI/ML practices.

Preferred Qualifications

• Experience developing high-performance or low-latency algorithms.
• Experience with Computer Vision applications regarding object detection and recognition
• Experience with C++, Go, Rust, Java, or similar lower-level or object-oriented languages.
• Experience with simulation environments, mapping systems, 3D structures, robotics, or spatial data.
• Experience optimizing inference latency, throughput, robustness, or deployment cost.
• Experience working in regulated, government, defense, or enterprise security environments.

Responsibilities

• Develop, train, test, and evaluate navigation, spatial reasoning, and path-planning algorithms.
• Build algorithms that support fast movement, routing, or reasoning through complex 3D environments.
• Build and maintain data pipelines and inference pipelines for navigation-related capabilities.
• Define metrics and evaluation methods for each model, algorithm, or pipeline delivered.
• Analyze accuracy, latency, robustness, scalability, and operational limitations.
• Collaborate with backend, data, product, and AI/ML teams to integrate capabilities into the broader platform.
• Document algorithm behaviour, evaluation results, limitations, and operational considerations.

What Success Looks Like

In this role, success means you can deliver fast, measurable, and reliable navigation-related capabilities. You can show how an algorithm performs, explain the tradeoffs behind it, and help move it from prototype to production-ready workflow.

What We Are Looking For

We are looking for someone who combines strong algorithmic thinking with practical engineering judgment. The ideal candidate enjoys making systems faster, more measurable, and easier to evaluate under real operational constraints.

Work Authorization and Clearance Eligibility

Candidates must be legally authorized to work in the United States. An active U.S. government security clearance is not required for this role. Candidates who currently hold, have previously held, or may be eligible to obtain and maintain a U.S. government security clearance are preferred. Certain customer, contract, or regulatory requirements may require additional eligibility verification.