Staff Machine Learning Engineer
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Job Description
Integral Ad Science is hiring a Staff Machine Learning Engineer (Data Science Team) to lead large-scale AI/ML systems and production deployments across the open web, social networks, video, and mobile.
Responsibilities
- Set the architectural direction and system design for core AI/ML services
- Serve as technical lead for multi-quarter initiatives from inception through global deployment
- Design and build large-scale deep learning infrastructure and platforms for distributed model training
- Deliver low-latency, high-availability ML systems at enterprise scale
- Coordinate with Product Management, Core Engineering, and executive stakeholders to align ML capabilities with business strategy
- Convert abstract product requirements into concrete technical designs
- Mentor and guide senior and mid-level data scientists and engineers
- Define code quality expectations, establish standard methodologies, and lead architecture design reviews
- Work with large-scale AI training infrastructure components (accelerators, network fabrics, CUDA, NCCL, RDMA)
- Integrate with big data and infrastructure ecosystems (Databricks, Spark, Kubernetes, Kafka, Prometheus)
- Build and support robust CI/CD pipelines that move models from research to production endpoints reliably
Requirements
- PhD/Master’s degree in a technical field (e.g., computer science, mathematics, statistics) or equivalent years of experience
- 7+ years of machine learning experience in industry with a demonstrated history at Lead, Principal, or Staff level
- Deep expertise designing complex ML systems, including ranking infrastructures and high-throughput data pipelines
- Production-hardened experience with frameworks including PyT orch, JAX, or T ensorFlow
- Strong production-grade programming skills in Python, Go, Java, or C++, with solid software design principles and algorithms knowledge
- Ability to operate in ambiguity, take large unstructured problems, and drive them to technical resolution independently
- Strong track record of collaborating with, elevating, and mentoring engineering talent
Technologies
- PyT orch, JAX, T ensorFlow
- Python, Go, Java, C++
- CUDA, NCCL, RDMA
- Databricks, Spark, Kubernetes, Kafka, Prometheus
Benefits
- Paid time off
- Health insurance (medical, dental, vision)
- PPO, HSA and FSA options
- 401k with employer matching contributions
- Annual bonus and/or other incentive plans (eligible)
Compensation & Location
- Location: San Francisco, CA (onsite)
- Salary range: USD 135,100 - 231,600 per year
IAS Pay Transparency
- Primary Location: US - New York, NY
- Primary Location Base Pay Range: $135,100.00 - $231,600.00 Annual
- Additional Locations: US - Chicago, IL; US - San Francisco, CA
- Additional Locations Pay Range: $119,000.00 - $204,000.00 USD Annual
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