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Principal or Senior Principal Software Engineer - Cloud and Applications
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AI Summary
Lead the design, implementation, and scaling of the company's ML infrastructure and production AI systems. Architect and operate end-to-end ML Ops pipelines across training, evaluation, deployment, observability, and optimization. Requires Staff/Principal-level experience with production ML systems, distributed systems, cloud infrastructure, Python, and Kubernetes.
Key Highlights
Lead end-to-end ML Ops pipeline architecture and scaling
Production ML systems across cloud and on-prem GPU clusters
Observability, automation, and CI/CD for ML models
Staff/Principal-level technical leadership and mentoring
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Key Responsibilities
Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring.
Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters.
Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows).
Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost).
Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models.
Collaborate with researchers to productionize models and accelerate training/inference pipelines.
Establish ML Ops best practices, internal standards, and cross-team tooling.
Mentor engineers and influence architectural direction across the entire AI platform.
Technical Skills Required
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Benefits & Perks
Competitive salary & equity options
Sign-on bonus
Health, Dental, and Vision
401k
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Nice to Have
Experience deploying and operating LLMs and generative models in production at enterprise scale.
Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code.
Experience optimizing GPU clusters, scheduling, and distributed training frameworks.
Prior startup experience or comfort operating with ambiguity and high ownership.
Experience working with data engineering, feature pipelines, or real-time ML systems.
Job Description
Location
Cambridge, MA (Eastern Time / UTC -4)
Relocation package available or Remote option for Out-Of-State applicants
Start Date
ASAP
Languages
English (required)
About The Role
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