TalentHop

This is a Fully Remote Job
About Our Client:
The organization operates within the artificial intelligence and machine learning industry, focusing on developing AI-native applications. It addresses challenges in classification, retrieval, ranking, personalization, and evaluation within machine learning systems. By building and deploying these systems at scale, the program supports real user applications that require reliable and efficient ML solutions.
About the Opportunity:
The MACHINE LEARNING ENGINEER, RANKING &amp; RETRIEVAL role involves building and enhancing machine learning models that drive the organization's AI applications. The position is responsible for advancing model accuracy, performance, and deployment, ensuring ML models meet operational targets and contribute to improved user experience. This role plays a key part in delivering scalable, reliable ML-powered features and works closely with engineering and product teams.
Responsibilities:
<ul>
<li>Build and improve ML models for classification, ranking, retrieval, and personalization</li>
<li>Develop efficient classifiers optimizing accuracy, latency, and cost</li>
<li>Enhance search relevance using embeddings, hybrid search, and reranking</li>
<li>Build privacy-conscious personalization models</li>
<li>Develop evaluation pipelines, labeled datasets, and quality metrics</li>
<li>Fine-tune and adapt existing models based on available data</li>
<li>Build and maintain training, inference, and deployment pipelines</li>
<li>Debug production issues and monitor model performance</li>
</ul>
Requirements:
<ul>
<li>Experience in machine learning and artificial intelligence</li>
<li>Strong foundations in ML and modern neural architectures</li>
<li>Hands-on experience deploying ML models in production</li>
<li>Experience with classification, ranking, retrieval, recommendation, or personalization</li>
<li>Knowledge of model evaluation and performance metrics</li>
<li>Ability to write production-quality code and handle real-world datasets</li>
<li>Skill in balancing model quality, latency, cost, and reliability</li>
<li>Strong ownership and problem-solving skills</li>
<li>Familiarity with embeddings, vector search, Python, and PyTorch/JAX</li>
</ul>
Pay Range and Compensation Package:
<ul>
<li>USD 120000 - USD 160000 yearly</li>
</ul>
Benefits &amp; Perks:
<ul>
<li>Medical insurance</li>
<li>Dental insurance</li>
<li>Vision insurance</li>
</ul>
Equal Opportunity Statement:
Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

Machine Learning (ML) Engineer, Ranking & Retrieval, Machine Learning (ML) and Artificial Intelligence (AI) Required, Work From Home

Machine Learning (ML) Engineer, Ranking & Retrieval, Machine Learning (ML) and Artificial Intelligence (AI) Required, Work From Home

This job is no longer available

Talents

Recruiters

About