Jobs at Point Wild

Architects and maintains GCP-based infrastructure, pipelines, and tooling for deploying, scaling, and monitoring production machine learning models. Owns model serving, CI/CD and continuous training workflows, observability, drift detection, feature engineering integrations, and scalable training environments. Collaborates with AI researchers, data engineers, and backend teams to transform prototypes into secure, reliable, auto-scaling services.

Architects and maintains GCP-based infrastructure, pipelines, and tooling for deploying, scaling, serving, and monitoring production machine learning models. Builds CI/CD and continuous training workflows, supports model observability and drift detection, enables AI research teams, and transitions prototypes into secure, reliable, auto-scaling microservices. Collaborates with data, backend, and AI engineering teams on feature stores, dataset versioning, and high-performance inference systems.

Architects and maintains GCP-based infrastructure, pipelines, and tooling for deploying, scaling, serving, and monitoring production machine learning models. Builds CI/CD and continuous training workflows, model-serving systems, observability, drift detection, and auto-scaling microservices. Supports AI and data engineering teams with training environments, feature pipelines, and standardized deployment practices while transitioning prototypes into secure, reliable production systems.

Architects and operates production ML infrastructure on GCP, including model deployment, serving, training pipelines, CI/CD, observability, drift detection, and scalable inference systems. Collaborates with AI researchers, data engineers, and backend teams to transition prototypes into secure, resilient microservices. Supports feature engineering, dataset versioning, retraining automation, and optimized AI workloads.

Architects and maintains GCP-based infrastructure, pipelines, and tooling for deploying, scaling, serving, and monitoring machine learning models in production. Builds CI/CD and continuous training workflows, supports model observability and drift detection, enables AI research teams, and transitions prototypes into secure, resilient, auto-scaling services. Collaborates with data, backend, and AI engineering teams on feature stores, data workflows, and high-performance inference systems.

Architects and maintains GCP-based infrastructure, pipelines, and tooling for deploying, scaling, and monitoring production machine learning models. Builds model-serving systems, CI/CD and continuous-training pipelines, observability capabilities, feature and data workflows, and secure auto-scaling microservices. Partners with AI researchers, data engineers, and backend teams to transition prototypes into reliable enterprise production systems.

Architects and maintains GCP-based infrastructure, pipelines, and tooling for deploying, scaling, and monitoring machine learning models in production. Owns model serving, CI/CD and continuous training workflows, observability, drift detection, feature integration, and scalable training environments. Collaborates with AI researchers, data engineers, and backend teams to transition prototypes into secure, reliable, auto-scaling services.

The Backend Architect will lead the backend team, design scalable distributed services in Golang, ensure code quality, mentor engineers, and collaborate with teams to meet performance targets.

The Backend Architect will lead backend development, design distributed systems, mentor engineers, and ensure high-performance services while focusing on coding in Golang.

Lead the backend engineering team while architecting robust systems in Golang for millions of users. Responsibilities include defining platform architecture, conducting code reviews, and mentoring engineers.

The Backend Architect will lead the backend team, set technical direction, design scalable systems, mentor engineers, and ensure system reliability.

The Backend Architect will lead the backend team, define architecture, write Golang code, mentor engineers, and ensure performance and reliability of distributed services.

The Backend Architect will lead the backend team, design scalable systems, and ensure performance targets while mentoring engineers and collaborating with multiple teams.

As a Backend Architect, you'll design and evolve backend architecture in Golang for billions of users, lead the backend team, ensure performance targets, and drive clean coding practices.

Analyze macOS threats end-to-end: reverse-engineer Mach-O binaries and installers, perform static/dynamic and memory forensics, research persistence and evasion, develop YARA and heuristic detections, and translate findings into product detections, reports, and external publications.

Lead the backend team, setting technical direction for a scalable platform, designing distributed systems in Golang, and mentoring engineers.