Head of ML Engineering

About the role:

Our team is growing and we are hiring a Head of ML Engineering. The Machine Learning team trains and serves models that run on every customer request. We need someone who cares about latency as much as accuracy. You can work from home anywhere in the US. We have no office requirement. Normal working hours, Monday to Friday. You will need a reliable internet connection and a quiet place to work.

Essential duties and responsibilities:

• Monitor models for drift, data quality issues and latency regressions.
• Document model cards, data sources and known failure modes.
• Build training pipelines in PyTorch or TensorFlow and run them on GPUs in AWS, GCP or Azure.
• Productionize data science prototypes without rewriting everything.
• Deploy models behind low-latency APIs with FastAPI, Triton, TorchServe or vLLM.

About you:

• 10+ years of software engineering experience, with at least two spent on ML systems in production.
• Understanding of core ML concepts: overfitting, evaluation metrics, bias in training data.
• Knowledge of LLM APIs, prompt design and evaluation methods.

Desirable:

• Distributed training with DeepSpeed or FSDP.

Perks and benefits:

The salary range for this role is $335,000 - $445,000 per year. This range reflects base salary only.

• Medical, dental and vision insurance.
• 401(k) with 4% match.
• Three weeks of PTO to start.
• Dental insurance.

The company:

Most of what we build is back-office software for property managers, including lease tracking, work orders and tenant payments. Pinfold Systems builds scheduling and dispatch software for field service companies, from two-truck plumbing outfits to regional HVAC contractors. Laptops are MacBook Pros, and you pick your own editor.

EOE. We participate in E-Verify.

Start: Flexible.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Pinfold Systems.