Senior AI/ML Engineer

Company: Jobgether

Location: US (Remote)

Salary: $200k - $280k per year

Type: Full-time

Remote: Yes

Posted: 2026-10-13

About this role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI/ML Engineer based in the United States.

The Senior AI/ML Engineer will design and operate advanced search, ranking, and recommendation systems that help customers discover the right products across a global digital marketplace. This role combines applied machine learning, information retrieval, natural language processing, and multimodal AI to transform how users search for and evaluate products. You will build production-ready solutions spanning embedding-based retrieval, learning-to-rank models, conversational search, and image-based product matching. Working within a small, high-ownership engineering team, you will lead models through the entire lifecycle, from feature development and training to deployment, evaluation, and monitoring. You will also shape technical architecture, improve search relevance, and ensure AI-powered experiences remain reliable under real-world conditions. This remote opportunity offers significant ownership, technical challenges, and the chance to build innovative AI capabilities in a rapidly growing technology environment.

### Accountabilities:

The Senior AI/ML Engineer will own the development and continuous improvement of production-grade search and discovery systems, combining rigorous machine learning practices with scalable infrastructure and customer-focused product development. Key responsibilities include:

  • Build and operate search infrastructure using technologies such as Elasticsearch, OpenSearch, Vespa, and vector-search solutions to support advanced retrieval, ranking, and multimodal search.
  • Design configurable, multi-tenant ranking and recommendation systems that serve a central marketplace and individually branded storefronts without duplicating codebases.
  • Develop and optimize contextual search and conversational assistants using large language models (LLMs), prompt engin...

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