Senior engineer role focused on large-scale distributed systems, machine learning engineering, and platform architecture within an advertising ecosystem. Responsibilities include designing and maintaining scalable feature pipelines (batch, real-time, historical), optimizing ad model training pipelines, and ensuring system reliability and performance. Requires 3-5+ years experience in ML infrastructure or data platforms, proficiency in Python, Java, or Scala, expertise in big data technologies (Spark, Flink, Kafka), and domain knowledge in AdTech. Hybrid work schedule based in San Mateo, CA (3 days in office, 2 days remote optional). Salary range $190,000-$250,000 USD base plus equity. Benefits include medical/dental/vision, parental leave, unlimited PTO, equity, 401(k)/RRSP match, health stipend, and more.
What you'll do
Architect, build, and maintain low-latency, high-throughput feature pipelines — batch, real-time streaming, and point-in-time correct historical features — to power real-time bidding systems
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Requirements
Strong fundamentals / first principles thinking
3-5+ years of hands-on Machine Learning Infrastructure / Data Platform experience supporting data-intensive platforms, including large-scale data pipelines, streaming systems, and storage layers
Proficiency in one or more core programming languages — Python, Java, or Scala — for building, maintaining, and scaling robust ML and data pipelines
Domain expertise in AdTech
Strong expertise in modern big data technologies such as Apache Spark, Apache Flink, Apache Kafka, and other distributed data processing frameworks
Excellent team communication, cross-functional collaboration, and problem-solving skills
Nice to have: Hands-on experience with PyTorch for model architecture, training pipeline acceleration, or distributed training
Nice to have: Proficiency with cloud & infrastructure technologies, including AWS/GCP, containerization and orchestration platforms like Kubernetes and Docker
Nice to have: Competitive programming background such as awards or achievements in OI or ACM/ICPC
Tech stack
PythonJavaKafkaFlinkSparkPyTorchKubernetesAWS
Benefits
Medical, Dental and Vision plan for US employees & Extended Health Benefits for Canadian employees12 weeks paid parental leave + 4 weeks work from homeUnlimited PTO + Work-From-Anywhere AugustCareer development with clear advancement pathsEquity for all employeesHybrid work model & daily team lunchHealth & wellness stipend + cell phone reimbursement401(k) & RRSP with employer matchParking (CA, WA, Vancouver offices) & pre-tax commuter benefitsEmployee Assistance ProgramComprehensive onboarding (Cognitiv University)
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