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Senior/Staff Machine Learning Engineer

Posted 12 days agoViewed

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πŸ“ Location: North America

πŸ” Industry: Advertising platform

πŸ—£οΈ Languages: English

πŸͺ„ Skills: AWSPythonSQLMachine LearningData engineeringData science

Requirements:
  • Experience in machine learning
  • Ability to tackle complex problems
Responsibilities:
Working directly with our Data Scientists, Machine Learning engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models.Apply

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πŸ’Έ 260800.0 - 365100.0 USD per year

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🏒 Company: RedditπŸ‘₯ 1001-5000πŸ’° $410,000,000 Series F over 3 years agoπŸ«‚ Last layoff almost 2 years agoNewsContentSocial NetworkSocial 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 3 months ago
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