Remote ML Engineer, Ranking & Retrieval (Personalization)

MAP SSG; United States; Remote; USD 185,000 - 280,000; Full time

Benefits offered by this job

Equity

Discretionary bonus

Remote work

Job summary

MAP SSG is seeking a Machine Learning Engineer for ranking and retrieval. This fully remote, full-time role offers a base salary of $185K–$280K in USD plus equity and discretionary bonus. You’ll join a small ML team building models that decide what the app retrieves, ranks, and surfaces for each user.

You’ll own training, evaluation, deployment, and real-world feedback loops to improve relevance, latency, and reliability at scale.

Qualifications

• 2+ years of industry ML engineering experience.
• Built and shipped a ranking, retrieval, or recommendation model.
• Strong Python skills; experience with PyTorch or JAX.
• Experience with model serving, monitoring, and deployment.

Responsibilities

• Build and ship models for ranking, retrieval, classification, and personalization.
• Improve search relevance and context retrieval using embeddings and reranking.
• Use behavioral signals to personalize results while preserving privacy.
• Create labeled datasets and evaluation pipelines to measure quality and catch regressions.
• Own training, inference, deployment; monitor live performance and improve latency and cost.

Skills

Python

ML engineering

Ranking models

Model deployment

A/B testing

Tools

PyTorch

JAX

Model serving

Job description

MAP SSG is seeking a Machine Learning Engineer for ranking and retrieval. This fully remote, full-time role offers a base salary of $185K–$280K in USD plus equity and discretionary bonus. You’ll join a small ML team building models that decide what the app retrieves, ranks, and surfaces for each user.

You’ll own training, evaluation, deployment, and real-world feedback loops to improve relevance, latency, and reliability at scale.