Senior ML Engineer (5811)

ML, Machine Learning, Data Analysis, real-time prediction, Spark, Hive, NoSQL, Solr, TensorFlow-Serving, Mleap, Scala, Java, Spark-MLib, TensorFlow
Full Time
$80 - $100
Work from home not available Travel not required

Job Description

Senior ML Engineer

The advertisement & data group is looking for a strong backend engineer with a background in Machine Learning in order to improve the ad experiences. A few examples of problems improve ad-relevance, yield optimization, inferring demographics, etc. This person will apply knowledge of experimental methodologies, optimization, statistics, probability theory and machine learning using code for tool building, statistical analysis & modeling, using both general purpose SW and statistical languages.

Scope:

  • Machine Learning Infrastructure: Assist in building a 1st class ML platform from the ground up which helps manage the entire model lifecycle (feature engineering, versioning, model training/evaluation, deployment/online serving and monitoring prediction qualities).
  • Data Analysis and Feature Engineering Apply expertise in identifying and calculating features which can be leveraged by multiple use cases and models.
  • Model training including batch & real-time prediction scenarios: use machine language & statistical modeling techniques like decision trees, logistic regression, Bayesian analysis & others to develop/evaluate algorithms improving product/system performance, data management, quality and accuracy.
  • Low level system debug, performance measurement & optimization of large production clusters.

Required:

  • Hands on experience in applied ML on real use cases (big plus for ad-tech related use cases)
  • ML/distributed machine learning frameworks Spark-MLib, TensorFlow, etc.
  • Real time scoring & evaluation of models with low latency constraints.
  • Solid coding abilities with strong SW development Spark, Scala and Java (Java a must)
  • Experience with large scale computing frameworks, data analysis systems & modeling environments Spark, Hive, NoSql stores, etc.
  • BS, MS or PhD in CS/Statistics or similar.
  • Scoring & ranking frameworks experience Solr, TensorFlow-Serving, Mleap, etc.
  • Ad-tech background/experience.

Posted By

Elizabeth Abramzon

Dice Id : ercxhlyoh
Position Id : 6097069
Have a Job? Post it

Similar Positions

Senior Data Scientist
  • Omnicell, Inc
  • Mountain View, CA
AI and ML Engineer
  • BizTech Solutions Inc
  • San Jose, CA
Senior Data Scientist
  • Proofpoint, Inc.
  • Sunnyvale, CA
Machine Learning/AI Engineer
  • Cypress HCM
  • Redwood City, CA
Distributed Deep Learning Engineer
  • Samsung SDS America Inc
  • San Jose, CA
Data Scientist
  • Bayforce
  • Santa Clara, California
Deep Learning Implementation Engineer
  • CyberCoders
  • Milpitas, CA