Bayside Solutions · 15 hours ago
Backend Software Engineer: Python-PyTorch
Bayside Solutions is seeking experienced AI / ML Infrastructure Engineers to join a central ML/AI platform team responsible for building foundational services used by multiple internal and external product organizations. This role focuses on designing, extending, and supporting scalable ML infrastructure that powers both traditional machine learning and modern LLM-based workflows.
Information TechnologyStaffing AgencyTelecommunicationsVirtual Reality
Responsibilities
Design, develop, and enhance ML infrastructure services supporting training, inference, experimentation, and embeddings lifecycle management
Implement small to medium-sized features across existing ML platform components
Take customer use cases end-to-end, including investigation, debugging, and resolution of issues
Work across the ML stack, collaborating closely with applied scientists and downstream product teams
Diagnose and resolve issues in production ML systems
Navigate ambiguous requirements and proactively unblock work by seeking context or collaboration when needed
Clearly communicate technical decisions, trade-offs, and implementation rationale
Qualification
Required
Strong experience with Python, including writing production-quality, maintainable code
Hands-on experience with PyTorch in real-world ML systems (training and/or inference)
Solid understanding of ML fundamentals, including: Model training vs inference, Embeddings and representation learning, Experimentation and evaluation workflows
Experience debugging and maintaining complex, distributed systems
Ability to reason through problems, explain solutions, and articulate trade-offs
Comfort operating in environments with ambiguity and incomplete requirements
Preferred
Experience building or supporting ML infrastructure platforms
Familiarity with feature stores, experimentation frameworks, or inference services
Exposure to large-scale, multi-team ML environments
Prior work supporting both research and production ML use cases