Principal Machine Learning Engineer

You will own the ML infrastructure that turns research into reliable real-time compliance enforcement systems driving model training evaluation and production serving. You will partner closely with research stakeholders and engineering peers to ship reproducible pipelines and low-latency serving; the role is Hybrid (3 days onsite) in the New York City Metro area.

• Build and own training pipelines: data preparation reproducible fine-tuning runs experiment tracking and release automation
• Build evaluation infrastructure: automated eval runs regression gates dashboards and dataset versioning
• Own model serving in production: low-latency inference batching optimization autoscaling and cost management
• Ship model updates safely with versioning canarying rollback and drift monitoring
• Create repeatable workflows to adapt models to new domains and customer needs
• Turn expert labels and reviewer feedback into clean training and evaluation data
• Set the engineering bar for ML infrastructure as the team grows

• 8 years of software engineering experience including 4 years building infrastructure for ML or LLM systems in production
• Hands-on experience with the modern LLM stack: PyTorch distributed training fine-tuning at scale (e.g. LoRA SFT) and inference engines such as vLLM or TensorRT-LLM
• Experience building eval harnesses regression gates or dataset pipelines; strong understanding of precision recall and calibration
• Proven ownership of production model serving with real latency reliability and cost constraints
• Strong fundamentals in Python containers CI/CD cloud infrastructure and observability
• Ability to scope work ship frequently and make pragmatic build-vs-buy decisions
• Experience collaborating tightly with research partners and defining clear interfaces

• Experience productionizing small or specialized language models
• Experience with structured-output serving or constrained decoding in production
• Prior work in regulated or high-stakes domains (fintech healthcare legal trust and safety)
• Experience deploying models into customer-controlled environments

$200K - $250K/year

This role may fill quickly. Submit your resume to be considered.

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