The engineer will mature cloud operations into a structured, scalable platform by reviewing existing Azure and AWS environments, establishing configuration standards, and introducing repeatable Infrastructure-as-Code patterns. Key tasks include strengthening CI/CD pipelines, establishing consistent observability practices, and improving Kubernetes reliability.
Gather AI
12 Remote Job Openings at Gather AI
The role involves owning the infrastructure engine for the machine learning platform, focusing on transitioning from manual deployments to a fully automated, enterprise-grade MLOps system. Key tasks include migrating pipelines, building CI/CD, implementing advanced deployment strategies, and establishing centralized model management.
The Principal Machine Learning Scientist will advance core computer vision model performance for warehouse inventory scanning across drone and MHE Vision platforms, owning the full ML lifecycle from research through production deployment and monitoring. This includes collaborating on model optimization for various inference targets and providing technical leadership and mentorship to the ML team.
The representative will devise creative methods to initiate conversations with warehouse operations leaders and build authentic relationships within target accounts. They will also collaborate with marketing and sales to pilot new engagement strategies and generate qualified pipeline through quality interactions.
The architect will own the enterprise-grade architecture, aligning backend, frontend, platform, and infrastructure decisions while leading efforts to retire scalability and reliability debt. They will set technical direction, establish engineering hygiene standards, and mentor senior talent across the organization.
The Staff Database Engineer will own the evolution of the data layer, defining strategies for replication, scaling, latency, and governance while serving as the primary authority for database operational excellence. Key duties include leading the design and optimization of relational and distributed databases and establishing operational standards for data infrastructure.
The Mobile Engineer will own the investigation and resolution of customer-reported mobile issues by tracing problems across mobile applications, backend services, and infrastructure. This role also involves supporting live MHEV production systems through rapid issue resolution and proactive reliability improvements.
The Director will define and own the Machine Learning strategy and technical roadmap, leading and growing the Machine Learning and FPT teams while establishing a culture of rigor and production-quality delivery. Key tasks include driving improvements to core computer vision models and building out MLOps infrastructure for model training, deployment, and monitoring.
The Principal ML Scientist will advance core computer vision model performance for warehouse inventory scanning across drone and MHE Vision platforms, owning the full ML lifecycle from research through production deployment and monitoring. This includes collaborating on model optimization for various inference targets and providing technical leadership and mentorship to the ML team.
The Staff Database Engineer will be responsible for transitioning the data layer from growth-optimized foundations to enterprise-grade reliability, acting as the primary authority for operational excellence and performance integrity at the data layer. This includes defining replication models, scale strategies, and ensuring uptime SLAs are protected while retiring compliance debt.
The Solutions Engineer will drive high growth sales and expand market presence across the US by supporting strategic sales plans to achieve revenue targets and market penetration. This role involves building strong client relationships to provide tailored AI solutions that deliver measurable value while tracking technical sales metrics.
The Market Development Representative will create innovative ways to engage with warehouse operations leaders and build authentic relationships with target accounts. They will also collaborate with marketing and sales to test new engagement strategies and help define market development for the startup.
