Machine Learning Engineer, Remote

About Hollowpath:

Since 1999, the company has expanded from listings into payments, shipping and seller financing. Hollowpath operates consumer websites and apps used by tens of millions of people each month. Founded in 1999, we now have 1,700 employees.

Role overview:

We are adding a Machine Learning Engineer, Remote to our Personalization team. The Personalization team trains and serves models that run on every customer request. We need someone who cares about latency as much as accuracy. You will be employed through our employer-of-record partner in Senegal, with a local contract and salary paid in local currency. Core hours are 10:00 to 15:00 CET.

Responsibilities:

• Cut inference cost with quantization, batching and caching.
• Monitor models for drift, data quality issues and latency regressions.
• Fine-tune open-weight models with LoRA when it beats prompting.
• Write clean, tested Python and review teammates' code.
• Maintain feature pipelines and a feature store such as Feast or Tecton.
• Set up evaluation harnesses and regression tests for model quality.

Who you are:

• Familiarity with Docker, Kubernetes and a cloud ML platform (SageMaker, Vertex AI, Azure ML)
• Understanding of core ML concepts: overfitting, evaluation metrics, bias in training data.
• Experience deploying models as services and monitoring them.

What you get:

Rate: XOF 1,200,000 - XOF 1,500,000/month

• Monthly internet allowance.
• Flexible hours.
• Wellness allowance.
• Paid sick days.

Candidates must be eligible to work in Senegal.

Start: Immediately.

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