Note: The job is a remote job and is open to candidates in USA. The Wall Street Journal is seeking a Senior Director of ML Engineering to lead the technical vision, development, and integration of generative AI experiences on vertical products. This role involves tackling complex challenges of scaling AI solutions and collaborating closely with Product, Design, and Data Science teams to enhance user experiences.
Responsibilities
- Set the technical vision: Develop, own, and execute the technical strategy and engineering roadmap for applying AI to solve our customers challenges, balancing innovation with production stability
- Lead and scale teams: Lead, inspire, and scale high-performing cross-functional engineering teams building AI infrastructure, agentic integrations, and robust backend services
- Drive cross-functional alignment: Drive alignment and build consensus among diverse senior stakeholders in and outside of Technology
- Ensure operational excellence: Ensure the delivery of high-quality, scalable systems that meet stringent performance SLAs, and establish robust monitoring, alerting, and incident response processes
- Champion responsible AI: Ensure that models meet standards for quality, fairness, explainability, and regulatory/compliance requirements
Skills
- 15+ years of software engineering experience
- 7+ years in senior leadership
- Demonstrating a track record of leading teams of varying sizes to high-impact outcomes
- Deep technical expertise and hands-on experience in machine learning pipelines and real-time data architectures at scale
- Demonstrated experience translating customer needs and technical possibilities into actionable engineering plans and scalable product solutions
- Exceptional communication and stakeholder management skills
- Proven ability to translate complex technical concepts for non-technical audiences
- Ability to operate effectively in a matrixed organization
- Ability to partner with product and engineering leadership
- Connecting technical architecture decisions to business outcomes over multi-year horizons
Benefits
- Comprehensive Healthcare Plans
- Paid Time Off
- Retirement Plans
- Comprehensive Insurance Plans
- Lifestyle Programs & Wellness Resources
- Education Benefits
- Family Care Benefits & Caregiving Support
- Commuter Transit Program
- Subscription Discounts
- Employee Referral Program
- Financial Health Programs
- Cybersecurity Protection
- For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.
- For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.
Company Overview