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About the Role
As a Staff Machine Learning Engineer at IAS, you will be part of a team that is at the center of innovation for the company and a major contributor to our core products. You will oversee a sophisticated suite of data science systems making large-scale business predictions across the open web, social networks, video, and mobile apps. At the Staff level, you are expected to be a technical pillar for the organization. You will take ownership of open, highly ambiguous business problems and translate them into scalable ML architectures. You will define technical roadmaps, set the standard for ML engineering practices, and push the boundaries of applied machine learning to deliver best-in-class solutions for our clients. Innovation is at the heart of our competitive advantage, and you will cultivate it by mentoring talent and raising the technical bar across multiple teams.
Responsibilities
- Drive the architectural vision and system design for our core AI/ML-based services.
- Act as the technical lead for complex, multi-quarter initiatives from inception to global deployment.
- Design and build large-scale deep learning infrastructure and platforms for distributed model training, ensuring low-latency and high-availability at enterprise scale.
- Partner with Product Management, Core Engineering, and executive stakeholders to align ML capabilities with business strategy.
- Translate abstract product requirements into concrete technical designs.
- Mentor and guide senior and mid-level data scientists and engineers.
- Establish standard methodologies, define code quality expectations, and lead architecture design reviews.
- Work with large-scale AI training infra components (accelerators, network fabrics, CUDA, NCCL, RDMA) and big data ecosystems (Databricks, Spark, Kubernetes, Kafka, Prometheus).
- Design, develop, and support robust CI/CD pipelines for AI/ML services, ensuring models transition smoothly from research into reliable production endpoints.
Requirements
- PhD/Master’s degree in a technical field such as computer science, mathematics, statistics, or equivalent years of experience.
- 7+ years of machine learning experience in industry, with a proven track record of operating at a Lead, Principal, or Staff level.
- Deep expertise in designing complex machine learning systems, ranking infrastructures, and data pipelines that handle massive throughput.
- Extensive, production-hardened experience working with frameworks such as PyTorch, JAX, or TensorFlow.
- Strong, production-grade programming skills in Python, Go, Java, or C++, along with a deep understanding of software design principles and algorithms.
- Proven ability to thrive in ambiguity, take large unstructured problems, and independently drive them to successful technical resolutions.
- A strong history of collaborating with, elevating, and mentoring engineering talent.
Skills
- Machine Learning
- AI
- Deep Learning
- Data Science
- System Design
- Architecture
- Data Pipelines
- PyTorch
- JAX
- TensorFlow
- Python
- Go
- Java
- C++
- Software Design Principles
- Algorithms
- CI/CD
- Databricks
- Spark
- Kubernetes
- Kafka
- Prometheus
- CUDA
- NCCL
- RDMA
Location
- US - New York, NY
- US - Chicago, IL
- US - San Francisco, CA
Work Type
- Full-time
Experience Level
- Staff
- Lead
- Principal
Education Level
- PhD
- Master's degree
Salary/Compensations
- $135,100.00 - $231,600.00 Annual (Primary Location: US - New York, NY)
- $119,000.00 - $204,000.00 USD Annual (Additional Locations: US - Chicago, IL, US - San Francisco, CA)
Benefits
- Paid time off
- Health insurance (medical, dental, vision)
- PPO, HSA and FSA options
- 401k with employer matching contributions
- Competitive compensation
- Annual bonus and/or other incentive plans
About the Company
- Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms.
- IAS's software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers.
- Our mission is to be the global benchmark for trust and transparency in digital media quality.
- For more information, visit integralads.com.
Equal Opportunity
- IAS is an equal opportunity employer, committed to our diversity and inclusiveness.
- We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
- We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.