Built · 9 hours ago
Senior Machine Learning Operations Engineer
United States
Full-time
Remote
Senior Level
$140K/yr - $210K/yrBuilt is an AI-powered platform transforming the way real estate is financed, developed, and managed. They are seeking a Senior ML Ops Engineer to build the foundation for applied machine learning in construction finance, focusing on designing and implementing the ML Ops platform for reliable deployment and scaling of models.
ConstructionLendingFinanceFinTechSaaSCommercial LendingFinancial Services
Responsibilities
You’ll build and operationalize the infrastructure that allows machine learning to run reliably in production
Architect and implement Built’s foundational ML Ops platform from scratch
Define and deploy reusable patterns for model training, deployment, monitoring, and retraining
Build CI/CD pipelines for ML lifecycle automation, including versioning and experimentation tracking
Stand up a feature store integrated with Snowflake and AWS to support structured and unstructured data
Implement model registry and governance standards to ensure reproducibility, auditability, and rollback capability
Integrate ML workloads into our event-driven architecture (Kafka, Kinesis)
Develop observability frameworks to monitor drift, performance, latency, and model quality in production
Automate ML infrastructure using Terraform and AWS-native tooling (SageMaker, Lambda, ECS, Batch, Step Functions)
Establish security and compliance standards across ML assets, including data lineage and access control
Mentor engineers on ML Ops patterns and deployment best practices
This role is hands-on and foundational. You’ll be shaping how machine learning operates at Built for years to come
Qualification
Required
Experience architecting and deploying ML systems in production environments
Deep familiarity with ML lifecycle automation (training, CI/CD, deployment, monitoring)
Strong AWS experience, particularly within ML pipelines (SageMaker preferred)
Proven experience building infrastructure-as-code solutions (Terraform)
Experience productionizing ML workflows end-to-end, not just optimizing existing systems
Strong Python proficiency
Experience integrating ML workloads with data platforms and event-driven systems
Solid SQL skills and familiarity working with Snowflake
Preferred
Experience implementing feature stores or model registries
Familiarity with data orchestration tools (Airflow, Prefect, Dagster)
Experience with ML observability tooling (Datadog, Prometheus)
Experience in regulated or financial data environments
Experience optimizing ML workloads for cost and scale
Exposure to Snowpark, Bedrock, or LLM orchestration frameworks
Benefits
Equity
Top-notch medical, dental and vision coverage
Unlimited PTO policy
Uncapped vacation
Health, dental & vision insurance
401k with match and expedited vesting
Robust compensation package, including equity in the form of stock options
Flexible working hours
Paid family leave
ERGs & Mentorship opportunities
Learning grant program to support ongoing professional development
Company
Built
Built is an AI-powered financial operations platform for the real estate and construction industries.
Founded in 2014
201-500 employees
H1B Sponsorship
Built 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
Represents job field similar to this job
Trends of Total Sponsorships
2024 (2)
2023 (5)
2020 (1)
Funding
Current Stage
Late StageTotal Funding
$312.69MKey Investors
CitiTCVAddition
2023-04-13Series Unknown
2022-07-13Private Equity· $23.62M
2021-09-30Series D· $125M
Leadership Team
Chase Gilbert
Chief Executive Officer
Andrew Sohr
Co-Founder
Recent News
2026-02-07
Business News
2025-11-08
Company data provided by crunchbase