Sr Platform Engineer, CVML at Jobgether – United States

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr Platform Engineer, CVML in United States.

This role focuses on designing, building, and evolving scalable platforms to support computer vision and machine learning (CVML) workloads. The Sr Platform Engineer will enable ML teams by developing reliable infrastructure, tooling, and workflows that accelerate experimentation, training, and deployment of models at scale. This position combines hands-on engineering with strategic platform guidance, balancing improvements to legacy systems with delivery of new, high-impact platform capabilities. You will collaborate closely with ML engineers, robotics teams, and product stakeholders, shaping platform architecture, reliability, and performance across cloud and on-prem environments. The ideal candidate thrives in a fast-moving, multi-team environment and is motivated by creating durable, widely adopted technical solutions. This role offers the opportunity to influence platform strategy while executing tangible improvements that impact real-world applications in computer vision, robotics, and AI-powered systems.

• Design, implement, and evolve platform capabilities for ML training, batch inference, and model deployment workflows
• Own and maintain core platform components including compute orchestration, data pipelines, and inference systems used across multiple teams
• Enhance platform reliability, scalability, and performance while addressing real-world ML workload requirements
• Enable ML engineers with intuitive tools, workflows, and documentation across the full model lifecycle
• Develop and optimize hybrid compute environments, leveraging Kubernetes, Slurm, and cloud platforms (AWS preferred)
• Evaluate and improve system architecture, balancing incremental improvements with long-term platform health
• Mentor junior engineers, provide technical guidance, and drive adoption of platform best practices

Requirements:

• 5+ years of professional experience in platform, infrastructure, or systems engineering
• Strong technical judgment in evolving legacy platforms and delivering new, cross-team components
• Proficiency in Python for production systems, tooling, and platform components
• Solid understanding of ML systems and the end-to-end model lifecycle from experimentation to deployment
• Hands-on experience with cloud platforms (AWS preferred) and container orchestration systems such as Kubernetes and Slurm
• Ability to translate requirements from ML, robotics, and product teams into scalable platform solutions
• Experience ramping quickly on new domains, tools, and complex systems
• Preferred: Golang experience, ML pipeline integration (Kubeflow, Airflow), distributed training and inference (Ray), computer vision or robotics ML systems

Benefits:

• Competitive US-based annual salary range of $160,000 - $287,000, plus eligibility for bonus programs
• Comprehensive benefits package including healthcare, retirement, and paid time off
• Opportunity to work remotely within the United States
• Exposure to cutting-edge CVML platforms, AI research, and robotics applications
• Mentorship, career development, and learning opportunities in a collaborative, inclusive environment
• Chance to influence platform strategy and technical direction across multiple teams