Senior Machine Learning Engineer
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
SaaS, Enterprise Data Management, Artificial IntelligenceIndustries
Requirements
Candidates should possess 5+ years of experience in machine learning engineering or applied AI, holding a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or a related technical discipline. A strong foundation in machine learning and data science fundamentals, including supervised and unsupervised learning, evaluation metrics, data preprocessing, and feature engineering is required. Demonstrated experience building and deploying RAG systems and/or LLM-powered applications in production environments is essential, along with proficiency in Python and ML libraries such as PyTorch, Hugging Face Transformers, or TensorFlow.
Responsibilities
As a Senior Machine Learning Engineer, you will design, build, and deploy RAG systems, including multi-agent and AI agent-based architectures for production use cases, contribute to model development processes such as fine-tuning and parameter-efficient training, build evaluation pipelines to benchmark LLM performance, optimize model pipelines for latency, scalability, and cost-efficiency, collaborate with MLOps, DevOps, and data engineering teams, and stay informed on current research and emerging tools in LLMs and generative AI. You will also participate in roadmap planning, design reviews, and documentation, and work closely with product and engineering teams to deliver innovative, high-impact systems that push the boundaries of AI in rebate management.
Skills
Machine Learning
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Multi-agent architectures
AI agent workflows
Data Engineering
Big Data Algorithms
AI Deployment
Python
Distributed Systems
Enable
SaaS platform for managing rebate programs
About Enable
Enable specializes in rebate management software designed for business-to-business (B2B) trading partners. Its main product is a Software-as-a-Service (SaaS) platform that simplifies the management of rebate programs, which are financial incentives manufacturers offer to distributors or retailers. This platform helps companies track, manage, and optimize their rebates, transforming a traditionally reactive process into a strategic advantage. Unlike many competitors, Enable focuses on providing a comprehensive solution that includes not only software tools but also educational resources through its Rebate Strategist University, which offers courses and certifications in rebate management. The goal of Enable is to help businesses maximize their rebate opportunities, ultimately driving revenue growth and enhancing their operational efficiency.
San Francisco, CaliforniaHeadquarters
2016Year Founded
$266.3MTotal Funding
SERIES_DCompany Stage
Enterprise Software, EducationIndustries
501-1,000Employees