ML Solutions Architect

NBCUniversal

ML Solutions Architect designing scalable integrations between machine learning models and real-time rendering systems. Supporting NBCUniversal’s global media, streaming, entertainment, and theme-park products.

Posted 9/3/2026full-timeRemote • MaliMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing software architectures that integrate machine learning models into production systems, with a strong focus on API design, system stability, and interoperability across multiple programming languages.

Highest-signal resume keywords

Software ArchitectureMachine Learning IntegrationAPI DesignData PreprocessingMultidisciplinary Industry Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonC++C#GitUnix ShellData IntegrationContainerizationMessage BrokersSystem StabilityHigh-Performance Execution

Soft Skills

Exceptional CommunicationTechnical LiaisonAttention to Detail

Tools & Technologies

MicroservicesAPIsReal-Time Rendering Engine

Industry Keywords

RoboticsSmart GridsPrecision AgricultureGame DevelopmentAerospace

Tech Stack

Tools & technologies

C++MicroservicesPythonUnix

About the role

Key responsibilities & impact

Lead the high-level design of systems integrating ML models into the broader product suite
Design and implement software layers enabling ML models to interact with a real-time rendering engine
Manage data preprocessing and postprocessing (coprocessing) for high-performance execution
Evaluate customer requirements and determine whether to use off-the-shelf tools or escalate specialized research initiatives
Build and maintain wrappers, APIs, and microservices for a flexible, language-agnostic ML stack
Serve as the primary technical liaison among technical leadership, customers, and the core engineering team
Define data and integration requirements
Break complex product visions into modular architectural components
Ensure ML components ship as part of a stable, scalable software product

Requirements

What you’ll need

Degree in Computer Science, Software Engineering, or a related field
Proven experience as a Software Architect or Systems Engineer in a fast-paced environment
Prior experience in multidisciplinary industries such as robotics, smart grids, precision agriculture, game development, or aerospace
Fluency with Git and the Unix shell
Ability to work across multiple programming languages, ideally including Python, C++, or C#
Deep understanding of integrating ML models into production software, including API design, message brokers, containerization, and compute and memory budgeting
ML-adjacent experience sufficient to understand model constraints, data requirements, and the state of the art
Ability to perform Build vs. Buy analyses for ML components
Exceptional ability to translate high-level product vision into concrete engineering specifications
High attention to system stability and interoperability
Experience with fine-tuning and deploying models is a plus, not required

Benefits

Comp & perks

Employees can work remotely
Equal employment opportunities
Reasonable accommodation available for qualified individuals with disabilities and disabled veterans
In-person interview support/accommodation process