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3 months ago
Salary band: $10k - $15k
Location: North America, United States, California
Job type: Permanent
Contact: TEEMA
Category: Engineer
Job Description:

Machine Learning Engineer Needed! Located in Mountain View,CA we are a next generation mobile advertising platform focusing on using data and technology to deliver higher performance and big data business intelligence. We are looking for an experienced Machine Learning Engineer to join the Engineering team has a next generation mobile advertising platform that utilizes real-time data and optimization. Come join our exciting team! You'll be building tools to evaluate and automatically monitor data quality. Work with our Data Science and Product Management teams to constantly improve our products and adapt to new customer needs. What You'll Need?At least 5 years of industry experience in Machine LearningMust have the ability to write high performance production quality code5+ Years of Scala, Java, C++, Python, or other equivalent languages commonly as well as one of frameworks like SparkML, TensorFlowExperience building innovative end-to-end Machine Learning, Text analytics, search, and entity graph systemsMust be completely comfortable with Spark, Spark Streaming, and Scala at a minimumExperience with Hadoop, HBase, Cassandra, Kafka, Titan, Tinkerpop, Gremlin, and Solr is a plusKnowledge of ML pipeline frameworks, as well as incremental model building and scoring, detection of model decay is a big plus. What's in it for you?Competitive compensation $150K to $200K D.O.E.Comprehensive medical, dental and vision plansLife insurance, 401k and a Great working environment Apply today and inquire about additional benefits!

Company Description:

TEEMA Solutions Group Inc. (TEEMA) has become one of the fastest growing Staffing Solutions companies in North America.

Our focus is delivering full-cycle staffing solutions, whether that is payroll, contract or permanent searches. We love our clients and we support them by placing quality people in the right position at the right time.

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