via Rippling
$180K - 250K a year
Designing and leading the development of a scalable ML platform, establishing automation and governance, and collaborating across teams.
Extensive experience in ML, Software Engineering, or Data Science, with leadership skills, mastery of MLOps principles, and proficiency in cloud ecosystems.
About the role As the Machine Learning Platform Leader, you will be the architect and visionary behind the infrastructure that scales our AI and ML capabilities. You won’t just manage a team, you will be building the platform that allows data scientists and engineers to develop, deploy, and monitor models with speed and reliability. Your goal is to speed up our data acquisition, ML training, deployment and monitoring for production grade models, ensuring our ML lifecycle is seamless, automated, and fast. What you'll do Strategic Vision: Define the roadmap for the internal ML platform and ML Ops, taking ownership of existing tools and selecting the right additions to meet business needs. Engineering Leadership: Lead a cross-functional team of ML Engineers and specialists to build robust CI/CD pipelines for machine learning. Standardization: Establish highly optimized automations for model development, ensuring consistency in feature stores, model versioning, and deployment strategies. Scalability & Cost: Optimize cloud infrastructure to handle massive datasets while maintaining a keen eye on compute costs and resource allocation. Governance & Monitoring: Implement comprehensive monitoring for model drift, latency, and bias to ensure our models remain high-performing. Cross-Functional Collaboration: Act as the primary interface between Data Science teams, Emerging Technologies and Core Engineering to remove bottlenecks in production pipelines. Minimum Qualifications We’re looking for a Passionate individual who is as comfortable leading a team as working hands on to develop, deploy and run a robust ML platform. 5+ years in ML, Software Engineering or Data Science, with 2+ years in a leadership role. Technical Depth: Mastery of MLOps principles and distributed systems. Tooling: Experience with orchestration tools and ML frameworks. Cloud Mastery: High proficiency in AWS and Snowflake ecosystems. Leadership: Proven ability to mentor senior engineers and influence stakeholders at the C-suite level. Preferred Qualifications Experience with Camera and LiDAR data (PCAPs) US Salary Range $180,000 — $250,000 Location Remote with 10-15% travel The salary range for this role is an estimate and is based on a wide variety of compensation factors. The salary offered to candidates will vary based on a variety of factors including (but not limited to) relevant work experience, education, specialized training, critical expertise, training, and more. Equity in Forterra is included in most of our full-time, high-demand roles and is therefore considered part of Forterra’s overall compensation package. In addition to base salary and equity, Forterra offers competitive benefits for full-time employees including: Premium Healthcare Benefits: Three plan options, including an HSA-eligible plan, with Forterra covering 80% of the plan premium for you and your dependents. Basic Life/AD&D, short and long-term disability insurance plans 100% covered by Forterra, plus the option to purchase additional life insurance for you and your dependents. Extremely generous company holiday calendar including a winter break in December. Competitive paid time off (PTO) offering 20 days accrued per year. A minimum of 7 weeks fully paid parental leave for birth/adoption. A $9k annual tuition reimbursement or professional development stipend. Fully stocked beverage refrigerators with all the Celsius your little heart desires. 401(k) retirement savings plan, including traditional, Roth 401(k), and after-tax deferral with company match up to 4%. Your recruiter will be able to share more information about our salary and benefits offering during the hiring process. CLEARANCE ELIGIBILITY - This position may require eligibility to obtain and maintain a U.S. security clearance. For more information about U.S. Security Clearances: click here. Forterra is an equal-opportunity employer, providing and promoting equal employment opportunity in all personnel practices. Forterrans are unique, talented individuals who are united through a shared passion to deliver autonomous systems that enable national resilience and a robust supply chain. All qualified applicants will receive consideration for employment without regard to any factor, including veteran and disability status, and criminal history, in accordance with applicable local, state, and federal laws. Forterra is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process. To see Forterra’s candidate data privacy policy, please visit Forterra Legal | Job Applicant Privacy Notice.
This job posting was last updated on 2/12/2026