Platform Engineer

RightEye • Bethesda, MD

2d • Remote

About The Position

As a Platform Engineer, you will build and own software that takes machine-learning models from research to production. This includes the Theia SDK for real-time inference at the edge, APIs and services used by customers and partners, and cloud infrastructure supporting data and model pipelines. You will work closely with machine-learning engineers and researchers, with a core focus on building reliable, well-designed systems around their models.

The role covers SDK development in Python and C++, backend and API development, AWS infrastructure, internal and customer-facing web tools, data pipelines for eye-tracking records, and production deployment and optimization of machine-learning models. The position is described as remote and offers exposure to real-time eye tracking, ML pipelines, SDKs, and VR/AR integrations.

The posting also includes an application note describing QA fundamentals, automation, and AI-assisted workflows; this appears inconsistent with the Platform Engineer role description and its stated qualifications.

Requirements

• 2–4 years of professional software engineering experience building production systems.
• Strong Python skills, including packaging and distributing libraries.
• Working familiarity with C++, including reading, modifying, and building code in a cross-platform codebase.
• Experience designing and building APIs (REST, gRPC, or similar) and backend services.
• Hands-on experience with AWS, containers, and CI/CD.
• Experience working with large tabular datasets in pandas, including data cleaning, transformation, aggregation, and performance at scale.
• Working familiarity with machine learning, including understanding the model lifecycle and having helped deploy or integrate ML models in a product.
• Strong communication skills and comfort working across engineering and research teams.

Nice To Haves

• Experience building and shipping SDKs or libraries used by external developers.
• SQL and database engineering experience, including schema design, query optimization, and PostgreSQL or similar.
• Kubernetes and infrastructure-as-code experience, such as Terraform.
• Frontend experience with React or similar.
• Edge or on-device inference experience with ONNX Runtime, TensorRT, TFLite, Core ML, or similar.
• Python compilation or distribution tooling experience, such as Nuitka, Cython, or pybind11.
• Exposure to time-series, sensor, or signal-processing data.
• Interest in VR/AR, eye tracking, or human-computer interaction.
• One year of experience in a research setting, developing or working with ML research domains.

Responsibilities

• Design, build, and maintain the Theia SDK in Python and C++, supporting real-time eye-tracking inference across desktop, mobile, embedded, and XR platforms.
• Own SDK packaging, performance, versioning, and developer experience.
• Design and implement APIs and backend services for data ingestion, model serving, licensing, and customer integrations, emphasizing clean interfaces, reliability, and security.
• Build and operate AWS infrastructure, including containerized services on Kubernetes, infrastructure-as-code, CI/CD, and monitoring.
• Build internal tools, dashboards, and customer-facing web interfaces to make data and models accessible.
• Build and scale pipelines that process eye-tracking records for training, evaluation, and analytics.
• Clean, transform, validate, and analyze large tabular datasets, and develop tooling that enables the ML team to explore and work with data efficiently.
• Partner with ML engineers to deploy, optimize, and monitor production and edge models, including model conversion, latency and memory optimization, and inference pipelines.

Benefits

• Remote role with room to grow into automation, tooling, and AI-engineering work.
• Direct exposure to real-time eye tracking, ML pipelines, SDKs, and VR/AR integrations.
• Tight feedback loop with senior engineering and leadership.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed