Staff Machine Learning Engineer, Ads Optimization

Posted 1 day agoViewed

💎 Seniority level: Staff, 7+ years

📍 Location: United States, Canada

💸 Salary: 230000.0 - 322000.0 USD per year

🔍 Industry: Digital Advertising

⏳ Experience: 7+ years

🪄 Skills: AWSDockerPythonElasticSearchKafkaKubernetesMachine LearningPyTorchAlgorithmsCassandraPostgresRedisSparkTensorflow

Significant experience in one or more general-purpose programming languages like Java, Python, Go, Scala, C++ or similar.
Experience with data processing frameworks like Spark, Flink, Kafka, Druid, etc.
Experience with a cloud service provider like AWS or GCP.
Familiarity with tools: Kubernetes, Drone, CircleCI, Spinnaker, Argo, Airflow, Docker, Thrift.
Experience with datastores: ElasticSearch / Amazon OpenSearch, Redis, Postgres, Cassandra, BigQuery.
Experience with a machine learning modeling framework like Tensorflow or PyTorch.

Building Reddit-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry.
Leveraging live auction data and model predictions to adjust campaign bids in real time.
Incorporating knowledge of the Reddit ads marketplace into budget pacing algorithms powered by control & reinforcement learning systems.
Leading the team on designing new bid & budget optimization products and algorithms as well as conducting rigorous A/B experiments to evaluate the business impact.
Actively participating and working with other leads to set the long-term direction for the team, plan and oversee engineering designs and project execution.

Posted 30 days ago

📍 United States, Canada

🧭 Full-Time

💸 260800.0 - 365100.0 USD per year

🔍 Digital Advertising

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff over 1 year agoNews Content Social Network Social Media

10+ years of contributing high-quality code to production systems that operate at scale.
2+ years of experience operating as a Senior Staff engineer.
5+ years of experience in building control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems.
Experience leading large engineering teams and collaborating with cross-functional partners.
Experience designing optimization algorithms in an ad serving platform or other marketplaces is preferred.
Familiarity with control systems and reinforcement learning algorithms is a strong plus.
Significant experience in Java, Python, Go, Scala, C++, or similar languages.
Experience with data processing frameworks like Spark, Flink, Kafka.
Familiarity with AWS or GCP as a cloud service provider.
Experience with tools like Kubernetes, Docker, Airflow, etc.
Familiarity with datastores such as ElasticSearch, Redis, and Postgres.

Building Reddit-scale optimizations to improve advertiser outcomes using innovative techniques.
Leveraging live auction data and model predictions to adjust campaign bids in real-time.
Incorporating knowledge of the Reddit ads marketplace into budget pacing algorithms.
Leading a team of 15+ engineers on designing new bid & budget optimization products.
Conducting rigorous A/B experiments to evaluate business impact.
Collaborating with cross-functional teams for customer representation.

AWSDockerPythonElasticSearchGCPJavaKafkaKubernetesMachine LearningPyTorchC++AirflowAlgorithmsCassandraGoPostgresRedisSparkTensorflowScala

Posted 30 days ago

Posted about 2 months ago

📍 United States, Canada

🧭 Full-Time

💸 230000 - 322000 USD per year

🔍 Advertising technology

7+ years of contributing high-quality code to production systems that operate at scale.
5+ years of experience building control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems.
Experience leading large engineering teams and collaborating with cross-functional partners.
Experience designing optimization algorithms in an ad serving platform and/or other marketplaces.
Significant experience in one or more general-purpose programming languages like Java, Python, Go, Scala, C++, or similar.
Familiarity with data processing frameworks like Spark, Flink, Kafka, Druid, etc.
Experience with a cloud service provider like AWS or GCP.
Knowledge of tools like Kubernetes, Drone, CircleCI, Spinnaker, Argo, Airflow, Docker, Thrift.
Experience with datastores such as ElasticSearch/Amazon OpenSearch, Redis, Postgres, Cassandra, BigQuery.
Experience with machine learning modeling frameworks like TensorFlow or PyTorch.

Building Reddit-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry.
Leverage live auction data and model predictions to adjust campaign bids in real time.
Incorporate knowledge of the Reddit ads marketplace into budget pacing algorithms powered by control & reinforcement learning systems.
Lead the team on designing new bid & budget optimization products and algorithms as well as conducting rigorous A/B experiments to evaluate the business impact.
Actively participate and work with other leads to set the long-term direction for the team, plan and oversee engineering designs and project execution.

AWSDockerPythonElasticSearchGCPJavaKafkaKubernetesMachine LearningPyTorchC++AirflowAlgorithmsCassandraGoPostgresRedisSparkTensorflow

Posted about 2 months ago

🔧 Requirements