Lennar · 1 month ago
Lead Machine Learning Engineer - REMOTE
United States
Full-time
Remote
Lead/Staff
$153K/yr - $191K/yr
7+ years expLennar is one of the nation's leading homebuilders, dedicated to creating exceptional experiences for their Homeowners, Communities, and Associates. They are seeking a Lead Machine Learning Engineer to own and evolve the infrastructure for data science and ML models, collaborating closely with various teams to ensure efficient model deployment and retraining.
ConstructionLifestyleReal Estate
Responsibilities
Design, build, and set the ML platform surface used by our data science team—covering model packaging, deployment, batch and real-time inference, and observability
Establish and evangelize ML platform standards, patterns, and reusable components—raising the engineering bar for how ML models are built, deployed, and operated across the organization
Mentor data scientists and engineers on production ML practices, code review their platform-adjacent work, and serve as the technical authority on MLOps decisions
Own model serving infrastructure on AWS SageMaker (including SageMaker Unified Studio)—building patterns for batch inference jobs, real-time endpoints, and serverless inference depending on workload requirements
Build and maintain the model registry, version control, and promotion workflows that move models cleanly from development to staging to production with full lineage and auditability
Stand up and operate retraining pipelines using MLflow, Weights & Biases, and orchestration tools—automating retraining triggers, experiment tracking, model evaluation, and approval gates
Build monitoring and alerting for production models including drift detection, performance degradation, data quality issues, and latency or cost anomalies
Write clean, modular Python and infrastructure-as-code (Terraform) for ML platform components, applying software engineering best practices including testing, versioning, and code review
Partner closely with data scientists to make their workflow faster and more reliable—reducing time-to-production for new models and increasing confidence in models already in production
Collaborate with Data / Platform Engineering and AI Engineering counterparts to ensure feature pipelines, model artifacts, and inference services are integrated cleanly with the broader data and AI platform
Qualification
Required
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), including model training jobs, endpoints, batch transform, and pipelines
Deep experience with experiment tracking, model registries, and retraining workflows using MLflow, Weights & Biases, or comparable tooling
Strong Python skills with a track record of writing modular, well-tested, production-ready code; experience with infrastructure-as-code (Terraform preferred)
Solid understanding of both batch and real-time inference patterns, including the tradeoffs between latency, throughput, cost, and operational complexity
Proven ability to partner with data scientists—understanding their workflow, lowering friction, and translating modeling needs into reliable platform capabilities
Comfortable operating with autonomy in ambiguous environments—scoping work, setting realistic timelines, and raising blockers proactively without waiting to be asked
Preferred
Experience with feature stores, model gateways, GPU workloads, distributed training, model drift monitoring tools, or supporting both classical ML and LLM-based models on the same platform
Benefits
Healthcare (medical, dental, vision) and 401k matching
This position may be eligible for bonuses.
This position may be eligible for commissions.
This position will be eligible for the described benefits listed in the above section in accordance with Company Policy.
Medical, Dental, and Vision coverage
401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%
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
Significant Home Purchase Discounts
Everyone’s Included Day
Remote work schedule, with a preference for candidates based in Miami, FL; Bentonville, AR; or Dallas, TX.
Occasional travel for team activities and meetings
Company
Lennar
For more than 70 years, Lennar has been in the business of making homeownership more attainable for more people.
10001+ employees
H1B Sponsorship
Lennar has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
74%
Represents job field similar to this job
Engineering and Development
Management and Executive
Accounting and Finance
Customer Service and Support
Trends of Total Sponsorships
*2026 (7)
2025 (21)
2024 (15)
2023 (8)
2022 (6)
2021 (2)
2020 (7)
Funding
Current Stage
Public CompanyTotal Funding
$747.2MKey Investors
Berkshire Hathaway
2025-05-12Post Ipo Debt· $700M
2023-08-14Post Ipo Equity· $17.2M
2014-01-02Post Ipo Debt· $30M
Leadership Team
B
Bruce Gross
CEO Lennar Financial Services
Stuart Miller
Chief Executive Officer and President
Recent News
MarketScreener
2026-07-10
Company data provided by crunchbase