Lead ML Engineer
MachinifySalary not specified
- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
$140,000 – $200,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Construction, Robotics & AutomationIndustries
Requirements
Candidates must have an MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field. They should possess at least 5 years of experience in machine learning, specifically in building production-ready systems. Proficiency in Python and strong experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch is required. Experience in deploying and scaling AI/ML models using cloud services like AWS or GCP is essential. Strong expertise in agent architectures, reinforcement learning, or systems built on LLMs is needed, along with familiarity with retrieval-augmented generation techniques and integration of external knowledge bases or APIs. Candidates should also have experience with search and retrieval systems, including vector embeddings, graph databases, and Elasticsearch. An interest in the construction industry is necessary, with bonus qualifications including specialized expertise in Natural Language Processing, Computer Vision, or Speech Processing, as well as experience with training or fine-tuning proprietary algorithms.
Responsibilities
The ML Engineer will develop and deploy AI agents to solve real-world problems in the construction industry. They will design and implement robust systems incorporating human-in-the-loop feedback mechanisms to enhance AI agent decision-making and ensure reliable interactions. The role involves creating and optimizing pipelines for model deployment, monitoring, and scaling in production environments. The engineer will identify and model relationships between entities within and across different document types, enhance retrieval-augmented generation systems for context-aware AI agent responses, and design experiments to evaluate and improve model and agent performance in real-world scenarios. Staying updated with the latest advancements in LLMs, reinforcement learning, agentic workflows, and multi-modal systems to enhance AI agent performance is also a key responsibility.
Skills
Python
scikit-learn
TensorFlow
PyTorch
AWS
GCP
agent architectures
reinforcement learning
LLMs
RAG
vector embeddings
graph databases
elasticsearch
Trunk Tools
AI-driven incentive management software for construction
About Trunk Tools
Trunk Tools offers incentive management software tailored for the construction industry, featuring products like TrunkText and TrunkPerform. TrunkText uses artificial intelligence to help users quickly find project documents, while TrunkPerform enhances project performance by speeding up task completion. The company operates on a subscription-based model, providing software-as-a-service (SaaS) solutions that generate steady revenue. Trunk Tools aims to improve efficiency and productivity for construction professionals, distinguishing itself from competitors by focusing on their specific needs.
Key Metrics
New York City, New YorkHeadquarters
2021Year Founded
$29.1MTotal Funding
SERIES_ACompany Stage
Enterprise Software, AI & Machine Learning, Financial ServicesIndustries
11-50Employees