Own business‑critical AI challenges. Partner with product, design, and engineers to uncover the real customer problems, then frame them as tractable machine‑learning tasks
Build end‑to‑end solutions, collect and curate data, prototype models, run rigorous experiments, and productionize the winners with reliable MLOps practices and your code will move effortlessly between exploratory notebooks and hardened services
Ship incrementally, learn rapidly, break ambitious ideas into testable slices, measure impact, and iterate
Elevate the team and mentor engineers on best practices in ML engineering, model evaluation, prompt design, and responsible AI
Introduce tools and techniques that improve reliability, speed of deployment, fairness, and performance
Take true ownership and empower every team member to understand the business levers behind their work and to push for outcomes, not just tickets
Aid in building out Laurel's AI platform to support billions of inferences

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
5+ years of professional experience in building production machine learning solutions, with a focus on NLP, language models, and embeddings
Strong proficiency in Python
Comfort with at least one deep-learning framework such as PyTorch or TensorFlow
Hands-on experience building text-processing pipelines
Solid grasp of LLM evaluation metrics (BLEU, ROUGE, BERTScore, human preference scoring)
Strong SQL skills
Experience with cloud platforms (AWS and Azure)
Demonstrated MLOps experience
Orchestration and pipeline (Airflow)
Experiment tracking (MLFlow)
Containerization with Docker

Benefits

Great employee benefits, including equity and 401K
Bi-annual, in-person company off-sites, in unique locations, to grow and share time with the team
An opportunity to perform at your best while growing, making a meaningful impact on the company's trajectory

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningnatural language processingPythondeep learningtext-processing pipelinesSQLMLOpsexperiment trackingcontainerizationmodel evaluation

Soft Skills

mentoringteam collaborationproblem-solvingownershipcommunicationiterationreliability improvementperformance enhancementfairness in AIbusiness acumen