Note: The job is a remote job and is open to candidates in USA. Motion Recruitment is recruiting for an unnamed technology organization seeking a Staff Machine Learning Platform Engineer. The role focuses on building and improving infrastructure for reliable, secure machine learning and generative AI workloads, while providing technical leadership across platform architecture and engineering practices.
Responsibilities
- Develop and enhance the engineering platform that supports machine learning and AI workloads
- Build scalable infrastructure that enables reliable model serving and inference processing
- Establish standards for model registration, deployment, promotion, and governance
- Design platform capabilities to support both streaming and batch AI workloads
- Create secure architectures that enforce tenant isolation and data protection requirements
- Build systems that improve AI reliability through testing, validation, and performance monitoring
- Implement logging, tracing, alerting, and platform observability capabilities
- Partner with engineering teams to improve scalability, reliability, and operational efficiency
- Lead architecture discussions and guide technical strategy across multiple projects
- Mentor engineers and provide subject matter expertise in machine learning infrastructure
- Research emerging technologies and recommend platform improvements
- Support CI/CD initiatives and infrastructure automation efforts to accelerate delivery
Skills
- 10+ years of experience building and supporting enterprise software platforms
- Strong expertise in cloud-native architecture and distributed systems design
- Demonstrated success leading major technical initiatives and architectural decisions
- Significant experience operating machine learning infrastructure in production environments
- Hands-on experience supporting LLM-powered applications and AI-driven products
- Deep understanding of model deployment workflows, governance practices, and lifecycle management
- Experience with vector databases, retrieval architectures, embeddings, and RAG solutions
- Advanced proficiency in Python and TypeScript
- Strong API development experience using modern REST-based architectures
- Experience building applications and services on AWS
- Working knowledge of Docker and containerized application deployment
- Experience implementing Infrastructure as Code solutions using AWS CDK, CloudFormation, or similar technologies
- Knowledge of monitoring, observability, incident response, and site reliability practices
- Experience securing cloud platforms handling sensitive customer information
- Strong communication and collaboration skills across technical and non-technical stakeholders
- Applicants must be currently authorized to work in the US on a full-time basis now and in the future. Sponsorship is not available for this position
- Experience implementing AI agents and autonomous workflow solutions
- Familiarity with modern model orchestration and prompt management frameworks
- Knowledge of GPU workload optimization and AI infrastructure cost management
- Experience with model evaluation frameworks, testing pipelines, and quality measurement systems
- Exposure to multimodal AI applications involving image processing and scientific data
- Familiarity with fine-tuning, model optimization, and performance tuning methodologies
- Experience working within regulated industries and compliance-focused environments
- Background supporting scientific, healthcare, biotechnology, or laboratory technology organizations
Benefits
- Fully remote role for candidates located in New Hampshire
- Opportunity to contribute to enterprise-scale AI and machine learning initiatives
- Collaborative engineering environment with significant technical ownership
- Career growth opportunities within a rapidly evolving technology organization
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Unlimited Paid Time Off (PTO)
- 401(k)
- Life Insurance
- Short-Term Disability Coverage
- Long-Term Disability Coverage
Company Overview