Senior Machine Learning Engineer

2 weeks ago

Los Angeles, United States VideoAmp Full time

We are looking for a Senior Machine Learning Operations Engineer who is passionate about all things data. You will be working on enhancing top-flight datasets and innovative data products. Data quality and best practices are at the core of our team ethos as we support a fast-moving, highly cross-functional organization.

TECHNOLOGY:

  • AWS, GCP, and On-prem Ecosystem
  • Python [Pandas, SciPy, sklearn], Scala 
  • Spark, Snowflake, Big Query, Postgres, Hive, HDFS
  • Kubernetes, Docker
  • Pytorch, TensorFlow
  • Airflow

RESPONSIBILITIES:

Lead

  • Break down product initiative requirements, identify dependencies, and create implementation plans
  • Own end to end project implementation
  • Mentor individuals through detailed feedback during code reviews

Design

  • Design and scale petabyte-scale data flows
  • Participate in design reviews and production reviews for new features, products, or pieces of infrastructure

Implement

  • Automate manual tasks from data science and create tools for data scientists to simplify future automation
  • Build and enhance current data warehousing architecture to provide insights and analytics to our internal and external clients
  • Develop and release via CI/CD and agile methodologies
  • Automate and maintain infrastructure builds in AWS/On-Prem/GCP to support applications running in Kubernetes (Terraform, Ansible, Chef)
  • Build shared components and/or frameworks that improve engineering productivity across the organization
  • Create and maintain documentation of services, tools, and frameworks
  • Play a key role in building the ETL/ELT stack to cleanse, transform and load data from different sources using multiple technologies
  • Ensure that data is easily discoverable and usable for data scientists and analysts across the company
  • Identify root causes of instability in a large-scale distributed system, across stacks

QUALIFICATIONS:

3+ Years Production experience with:

  • a scripting language like Python
  • writing SQL statements
  • building and optimizing workflows that cross, columnar stores, row-level stores, and transactional databases. (OLTP databases such as Postgresql, MySQL; OLAP databases such as Snowflake, BigQuery, Redshift; and NoSQL databases such as DynamoDB, MongoDB, Couchbase)
  • developing data pipelines for at least terabyte volumes of data
  • server-side concepts such as microservices, databases, caching, monitoring, and scalability
  • schema design and dimensional data modeling
  • distributed data technologies for building efficient & large-scale data pipelines like Hadoop, MapReduce, Spark, Flink, Kafka

Qualifications (Preferred but NOT required):

  • deploying models, UDFs, or other custom algorithms into a batch process workflow 
  • working with workflow scheduling technologies, such as Airflow or Databricks Jobs
  • data orchestration tools such as Airflow or dbt
  • handling PII data in compliance environments like CCPA or GDPR
  • container orchestration systems such as Kubernetes, Rancher, Nomad, ECS
  • cloud-based solutions such as Amazon AWS, Google Cloud, or Microsoft Azure
  • Experience in statistics, data mining, or machine learning
  • BS/BA in Technical Field, Computer Science or Mathematics
  • Experience specifically with Pyspark and Scala working with large data sets

Minimum base salary of $124,000 + Bonus/Commissions + Equity + Benefits. The actual compensation offer will be determined by a number of factors, including, but not limited to, applicant's qualifications, skills, and experience. 

PERKS:

  • Unlimited paid time off each year 
  • Company sponsored health, dental and vision benefits for you and your dependents
  • Access to state-of-the-art fitness classes and personal trainers to promote your well-being
  • Partnership with DoorDash for meal deliveries
  • Employee Advisory Groups / Proactive Social Groups
  • Pet Care Savings
  • 401k Plan
  • Referral Bonus
  • Progressive approach to paid parental leave
  • Epic personal and professional growth opportunities

ABOUT 

VideoAmp is an advertising measurement and optimization platform increasing the value of advertising by redefining how media is valued, bought and sold. Our platform automates advertising workflows, deduplicates audiences across traditional TV, streaming video, digital media and walled gardens and connects media exposures to an advertiser’s sales. By unlocking new value for the entire ecosystem, our platform allows the world’s largest advertisers, agencies and publishers to align on VideoAmp’s independent measurement as a new media currency to transact against.We are transforming a 100-year-old industry by powering a more effective three-way value exchange that results in increasing the return on media investment for advertisers, increasing revenue for publishers and providing a better viewing experience for consumers. Come and join us

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