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 & 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:
Build and improve ML models for classification, ranking, retrieval, and personalization
Develop efficient classifiers optimizing accuracy, latency, and cost
Enhance search relevance using embeddings, hybrid search, and reranking
Build privacy-conscious personalization models
Develop evaluation pipelines, labeled datasets, and quality metrics
Fine-tune and adapt existing models based on available data
Build and maintain training, inference, and deployment pipelines
Debug production issues and monitor model performance
Requirements:
Experience in machine learning and artificial intelligence
Strong foundations in ML and modern neural architectures
Hands-on experience deploying ML models in production
Experience with classification, ranking, retrieval, recommendation, or personalization
Knowledge of model evaluation and performance metrics
Ability to write production-quality code and handle real-world datasets
Skill in balancing model quality, latency, cost, and reliability
Strong ownership and problem-solving skills
Familiarity with embeddings, vector search, Python, and PyTorch/JAX
Pay Range and Compensation Package:
USD 120000 - USD 160000 yearly
Benefits & Perks:
Medical insurance
Dental insurance
Vision insurance
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.