About the Opportunity

We are seeking an experienced Machine Learning Engineer to build and deploy production AI and machine learning systems that power intelligent products used at scale.

In this role, you will design, develop, and optimize machine learning models that improve search, ranking, recommendations, automation, and other AI-driven capabilities. You'll work closely with Product, Engineering, and Data teams to deliver high-impact solutions while establishing best practices for production ML systems.

This is an excellent opportunity for an engineer who enjoys owning the complete ML lifecycle—from data preparation and model training to deployment, monitoring, and continuous improvement.

Key Responsibilities

Design, develop, and deploy production-ready machine learning models.

Build AI systems for ranking, retrieval, recommendations, NLP, and automation.

Develop end-to-end ML pipelines, including data collection, labeling, training, deployment, and monitoring.

Create evaluation frameworks to measure model quality, bias, reliability, and business impact.

Collaborate with Product Managers, Software Engineers, and Data teams to deliver AI-powered features.

Optimize model performance, scalability, and inference efficiency.

Improve AI infrastructure, experimentation, and model observability.

Mentor engineers and contribute to ML engineering best practices.

Stay current with advances in machine learning, LLMs, and AI technologies.

Minimum Qualifications

4+ years of experience building production Machine Learning systems.

Strong programming experience with Python.

Experience deploying machine learning models into production environments.

Experience with deep learning frameworks such as PyTorch or TensorFlow.

Strong understanding of machine learning fundamentals, model evaluation, and experimentation.

Experience with NLP, recommendation systems, ranking, search, or retrieval models.

Experience working with structured and unstructured data.

Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

Experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).

Experience with LangChain, LlamaIndex, or similar AI frameworks.

Experience with vector embeddings, reranking, and semantic search.

Experience using evaluation and observability tools such as LangSmith, Weights & Biases, or Braintrust.

Experience with XGBoost or LightGBM.

Experience building AI systems in cloud environments.

Experience mentoring engineers in a fast-paced environment.

Preferred Technical Skills

Python

TypeScript

PyTorch

NumPy

Sentence Transformers

LangChain

LlamaIndex

Pydantic AI

RAG (Embeddings, Cross-Encoders, Rerankers)

XGBoost

LightGBM

LangSmith

Weights & Biases

Braintrust

Benefits

Competitive Equity Opportunity

Professional Development Opportunities

Career Growth Opportunities

Collaborative Engineering Environment

Visa Sponsorship Available for Qualified Candidates

High-Impact AI Projects

Pay: $190,000.00 - $320,000.00 per year

Benefits:

• Professional development assistance

Work Location: In person