Lead Machine Learning Engineer

Lennar

Machine Learning Engineer focusing on MLOps to enhance data science workflows at Lennar. Collaborating with teams to ensure production readiness and efficiency of ML models.

Posted 6/3/2026full-timeBoston • Massachusetts, Texas • 🇺🇸 United StatesSenior💰 $152,600 - $190,700 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudPythonTerraform

About the role

Key responsibilities & impact

Design, build, and set the ML platform surface used by our data science team
Establish and evangelize ML platform standards, patterns, and reusable components
Mentor data scientists and engineers on production ML practices
Own model serving infrastructure on AWS SageMaker
Build and maintain the model registry, version control, and promotion workflows
Stand up and operate retraining pipelines
Build monitoring and alerting for production models
Write clean, modular Python and infrastructure-as-code (Terraform)
Partner closely with data scientists to enhance workflow

Requirements

What you’ll need

Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field
7+ years of software engineering experience, including meaningful production ownership of services or platforms in a cloud environment
5+ years of hands-on MLOps or ML platform experience—deploying, monitoring, and retraining production models at scale
Strong hands-on experience with AWS SageMaker (Unified Studio strongly preferred)
Deep experience with experiment tracking, model registries, and retraining workflows using MLflow, Weights & Biases, or comparable tooling
Strong Python skills; modular, well-tested, production-ready code; experience with infrastructure-as-code (Terraform preferred)
Solid understanding of batch and real-time inference patterns
Proven ability to partner with data scientists and translate modeling needs into reliable platform capabilities
Comfortable operating with autonomy in ambiguous environments

Benefits

Comp & perks

Healthcare (medical, dental, vision)
401(k) matching
Paid time off, including up to three weeks of vacation annually
Paid Parental Leave
Education Assistance Program
Up to $30,000 in Adoption Assistance
New Hire Referral Bonus Program
Home Purchase Discounts
Occasional travel for team activities and meetings

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningMLOpsPythoninfrastructure-as-codeTerraformAWS SageMakerMLflowWeights & Biasesmodel registriesretraining workflows

Soft Skills

mentoringcollaborationautonomycommunicationproblem-solving

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Engineering