Staff Machine Learning Platform Engineer

Motion Recruitment; Manchester (NH); Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical Insurance

Dental Benefits

Vision Benefits

Unlimited PTO

401(k)

Life Insurance

Short-Term Disability

Long-Term Disability

Job summary

Motion Recruitment is seeking a Staff Machine Learning Platform Engineer to join a distributed engineering team. This fully remote role targets top talent located in New Hampshire, focusing on infrastructure for ML and generative AI at scale.

You will lead architecture decisions, define platform capabilities, and collaborate with data teams to support evolving business needs, governance, and security across multi-tenant environments.

Qualifications

• 10 years of enterprise software platforms experience.
• Cloud-native architecture and distributed systems expertise.
• Proven leadership of major technical initiatives.
• Production ML infra experience with LLMs.
• Experience with vector databases and RAG.
• Strong Python and TypeScript skills.
• AWS-based deployment experience.
• Containerized deployment with Docker.
• Infrastructure as Code using CDK or CloudFormation.
• Observability, incident response, and security practices.

Responsibilities

• Develop and enhance ML platforms for workloads.
• Build scalable infra for model serving and inference.
• Define standards for model registration and governance.
• Design for streaming and batch AI workloads.
• Ensure tenant isolation and data protection.
• Improve AI reliability with testing and monitoring.
• Implement logging, tracing, alerting, observability.
• Collaborate with teams to boost performance and scalability.
• Lead architecture discussions across projects.
• Mentor engineers in ML infra.
• Research tech trends and propose improvements.
• Support CI/CD and infra automation.

Skills

Python

TypeScript

Cloud-native

LLM infra

API design

AWS

Docker

IaC

Monitoring

Security

Collaboration

Tools

AWS CDK

CloudFormation

Docker

Job description

Job Description A forward-thinking technology organization building advanced AI-powered platforms is seeking a Staff Machine Learning Platform Engineer to join its distributed engineering team. This fully remote opportunity is focused on attracting top talent located in New Hampshire who are passionate about developing the infrastructure that enables machine learning and generative AI solutions to operate reliably at scale. This position sits at the intersection of software engineering, cloud architecture, machine learning operations, and distributed computing. The successful candidate will help define how AI applications are built, deployed, secured, and monitored across a multi-tenant environment while partnering closely with engineering and data teams to support rapidly evolving business needs. The ideal candidate has extensive experience designing production-grade AI systems, enjoys tackling complex scalability challenges, and can provide technical leadership across large engineering initiatives. You will play a key role in establishing engineering standards, platform capabilities, and architectural best practices that support long-term growth.

• 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

Desired Skills & Experience

• 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

What You Will Be Doing Daily 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

The Offer

• Competitive compensation package
• 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

You will receive the following benefits

• Medical Insurance
• Dental Benefits
• Vision Benefits
• Unlimited Paid Time Off (PTO)
• 401(k)
• Life Insurance
• Short-Term Disability Coverage
• Long-Term Disability Coverage
  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.