Machine Learning Engineer

Who we are

We are bootstrapped and profitable, with a Shopify store and a small warehouse unit in San Antonio. The founders built the first version of the site in 2001 on nights and weekends.

What this job is

Our team is growing and we are hiring a Machine Learning Engineer. This hire will help build out our ML platform: feature store, training pipelines, model registry and deployment. The operations team trains and serves models that run on every customer request. We need someone who cares about latency as much as accuracy. Remote within the US. The team meets in San Antonio once a quarter, travel covered. Hours are flexible, with one short team call each morning.

In your first few months you will

• Cut inference cost with quantization, batching and caching
• Orchestrate pipelines with Kubeflow, SageMaker Pipelines, Vertex AI or Airflow
• Monitor models for drift, data quality issues and latency regressions
• Deploy models behind low-latency APIs with FastAPI, Triton, TorchServe or vLLM

About you

• 3-5 years of software engineering experience, with at least two spent on ML systems in production
• Knowledge of LLM APIs, prompt design and evaluation methods
• Experience deploying models as services and monitoring them
• Strong Python and solid engineering habits (testing, packaging, code review)

Preferred qualifications

• Computer vision background (OpenCV, detection, segmentation)
• Published papers or open source ML contributions
• Recommendation or ranking systems at scale

Benefits

Salary: $195,000 to $220,000/year

• Medical, dental and vision insurance
• 401(k) with a 100% match up to 5%
• Paid time off
• Life insurance
• Paid sick leave
• Gym membership reimbursement

No recruitment agencies, please.

Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at San Antonio Commerce, LLC.