Remote ML Engineer - Production AI & Personalization

Parallel Partners, Inc.; San Francisco (CA); Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical insurance

Dental and Vision

Job summary

Parallel Partners, Inc. is seeking an Applied Machine Learning Engineer to build and improve ML systems powering AI-native applications. You will tackle classification, retrieval, ranking and personalization, taking models from development to production deployment.

The role requires practical ML/AI experience, strong Python and PyTorch/JAX skills, and a focus on scalable, low-latency pipelines. This position is 100% remote within the United States.

Qualifications

• ML experience is required.
• AI experience is required.
• Strong foundations in ML and modern neural architectures.
• Hands-on experience building and deploying ML models in production.
• Experience in classification, ranking, retrieval, recommendation systems or personalization.
• Understanding of model evaluation, experimentation and performance metrics.
• Comfortable writing production-quality code and working with real-world datasets.
• Able to balance model quality, latency, cost and reliability.
• Strong ownership, problem-solving skills.

Responsibilities

• Build and improve ML models for classification, ranking, retrieval and personalization.
• Develop efficient classifiers and optimize model accuracy, latency and cost.
• Improve search relevance and context retrieval using embeddings, hybrid search and reranking.
• Build personalization models that learn from user behavior while respecting privacy.
• Develop evaluation pipelines, labeled datasets and metrics to measure model quality.
• Fine-tune and adapt existing models when data supports.
• Build and maintain ML training, inference and deployment pipelines.
• Debug production issues, monitor model performance and ship improvements based on real-world feedback.
• Model improvements are driven by real-world feedback and measurable results.
• Collaborates effectively with engineering and product teams to deliver reliable ML-powered features.

Skills

ML experience

AI experience

Neural architectures

Production-ready code

Datasets handling

Tools

Python

PyTorch

JAX

Vector search

Job description

Parallel Partners, Inc. is seeking an Applied Machine Learning Engineer to build and improve ML systems powering AI-native applications. You will tackle classification, retrieval, ranking and personalization, taking models from development to production deployment.

The role requires practical ML/AI experience, strong Python and PyTorch/JAX skills, and a focus on scalable, low-latency pipelines. This position is 100% remote within the United States.