Hybrid Director, ML Engineering

at Cotality

• Job title: Director, ML Engineering
• Job type: Full Time
• Experience level: Lead
• Salary: $162,400 - $195,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: BigQuery, Cloud, Google Cloud Platform
• Location requirements: Hybrid, Dallas, United States

About the role

• Director of ML Engineering at Cotality overseeing scaling of ML teams and enhancing Automated Valuation Models. Leading MLOps adoption and driving data strategy within the company.

Responsibilities

• Mentor and scale a dual-discipline team of ML Engineers and Operations specialists.
• Direct the end-to-end lifecycle of custom Automated Valuation Models, from architectural design in GCP to production deployment and real-time inference.
• Drive the adoption of CI/CD for ML (CT - Continuous Training), ensuring robust model versioning, automated testing, and seamless deployment via Vertex AI or GKE.
• Oversee the engineering of automated feature stores and data pipelines.
• Partner with Data Science and Product teams to solve bottlenecks in model latency, throughput, and cost-efficiency.
• Implement sophisticated monitoring frameworks to detect feature drift and model decay.
• Translate complex technical roadmaps into actionable business value for executive leadership and cross-functional partners.

Requirements

• 8+ years of experience in ML or Software Engineering, with at least 3+ years in a dedicated people management role.
• Proven track record of scaling high-output teams and mentoring Staff-level engineers in the analytics or machine learning space.
• Deep hands-on expertise in the full ML lifecycle—from research and algorithm development to feature engineering and distributed data processing.
• Architect-level command of Google Cloud Platform.
• Proficient in leveraging Vertex AI, BigQuery ML, and Dataflow to build cost-effective, high-availability ML infrastructure.
• Specialized experience with Automated Valuation Models (AVM) or high-stakes predictive modeling within Real Estate/FinTech.
• Exceptional ability to bridge the gap between executive strategy and technical execution.
• Strong advocate for MLOps best practices, including CI/CD for machine learning, automated model monitoring, and robust data governance.
• Masterful interpersonal skills with the ability to influence stakeholders at the C-suite level and foster a collaborative environment across cross-functional product and data science squads.

Benefits

• Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
• Up to 16 weeks of fully paid parental leave and a baby stipend.
• Multiple medical plan options with mental health and wellness support offerings.
• 401(k) with company match and vesting after one year.
• $400 annual well-being stipend and tuition assistance up to $5,250.
• Recognition Rewards, Referral bonuses, exclusive discounts and more!