Lead Machine Learning Engineer

🔥 51 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Lennar

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1954

🏠 Real Estate

Real Estate

Lennar is a leading homebuilding company in the United States, known for building beautiful communities in desirable markets across the country. With a strong focus on quality craftsmanship, Lennar offers a range of housing options including single-family homes, townhomes, condominiums, and homes designed for active adults and multigenerational living. They also provide comprehensive home buying services including financing through Lennar Mortgage and partnerships with Opendoor for selling existing homes. Operating in 26 states, Lennar is recognized for its commitment to creating communities that cater to diverse lifestyles.

📋 Description

• 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 using MLflow, Weights & Biases, and orchestration tools • Build monitoring and alerting for production models • Write clean, modular Python and infrastructure-as-code (Terraform) • Partner closely with data scientists to make their workflow faster and more reliable • Collaborate with Data / Platform Engineering and AI Engineering counterparts

🎯 Requirements

• Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field • 7+ years of software engineering experience • 5+ years of hands-on MLOps or ML platform experience • Strong hands-on experience with AWS SageMaker • Deep experience with experiment tracking, model registries, and retraining workflows using MLflow, Weights & Biases, or comparable tooling • Strong Python skills • Solid understanding of both batch and real-time inference patterns • Proven ability to partner with data scientists • Comfortable operating with autonomy in ambiguous environments • Bonus: Experience with feature stores, model gateways, GPU workloads, distributed training, model drift monitoring tools

🏖️ Benefits

• Healthcare (medical, dental, vision) and 401k matching • Paid Parental Leave • Associate Assistance Plan • Education Assistance Program • Up to $30,000 in Adoption Assistance • Up to three weeks of vacation annually • Generous Holiday, Sick Leave, and Personal Day policies • New Hire Referral Bonus Program • Home Purchase Discounts • Occasional travel for team activities and meetings