Senior Machine Learning Engineer, VideoAmp

$124-142.6k

Salary + 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.

SQL
MongoDB
AWS
Docker
Kubernetes
GCP
Python
Scala
Kafka
Postgres
Airflow
Tensorflow
Terraform
Ansible
Hadoop
MySQL
Chef
Redshift
Spark
MapReduce
Snowflake
PyTorch
Flink
BigQuery
Hive
DynamoDB
Mid and Senior level
Los Angeles
VideoAmp

Advertising measurement and optimization

Job no longer available

VideoAmp

Advertising measurement and optimization

501-1000 employees

B2BBig dataSaaSAdvertisingData Analysis

Job no longer available

$124-142.6k

Salary + 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.

SQL
MongoDB
AWS
Docker
Kubernetes
GCP
Python
Scala
Kafka
Postgres
Airflow
Tensorflow
Terraform
Ansible
Hadoop
MySQL
Chef
Redshift
Spark
MapReduce
Snowflake
PyTorch
Flink
BigQuery
Hive
DynamoDB
Mid and Senior level
Los Angeles

501-1000 employees

B2BBig dataSaaSAdvertisingData Analysis

Company mission

To reinvent how media is bought, sold, and valued, shaping a more efficient advertising ecosystem.

Role

Who you are

  • 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

Desirable

  • 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

What the job involves

  • 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
  • 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

Otta's take

Theo Margolius headshot

Theo Margolius

COO of Otta

For companies looking for a more advanced and streamlined advertising ecosystem, VideoAmp provides tools to measure, transact with and unify audiences that were previously hard to interact with across the disparate traditional systems of TV, streaming and digital media.

In today's world where digital users are keenly aware of their data being used, sold and analyzed, VideoAmp has shrewdly put user privacy at its forefront. Its suite of data and software solutions allows a view of the audience which powers a more effective value exchange for the whole industry. Audiences no longer have to see irrelevant advertising and companies can bring users the content they want to see without compromising privacy.

The company has raised significant funding, further accelerating its leadership position in optimization solutions for the convergent TV ecosystem. This capital has also allowed VideoAmp to acquire Elsy, a media investment optimization platform. Alongside partnerships with media giants Omnicom Media and NBCUniversal, this is testament to VideoAmp’s growing momentum.

Insights

Top investors

Few candidates hear
back within 2 weeks

6% employee growth in 12 months

Company

Funding (last 2 of 6 rounds)

Sep 2023

$150m

SERIES G

Oct 2021

$275m

SERIES F

Total funding: $531.6m

Company benefits

  • Unlimited paid time off each year
  • Company sponsored health, dental and vision benefits for you and your dependents
  • Annual vacation and childcare stipends
  • 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 Funds + Pet Care Savings
  • 401k Plan
  • Referral Bonus
  • Progressive approach to paid parental leave
  • Epic personal and professional growth opportunities

Company values

  • Create trust
  • Do more with less
  • Figure it out
  • Ship it fast
  • Make it fun
  • Embrace wellness
  • Grow exponentially
  • Be a legend

Company HQ

Sawtelle, Los Angeles, CA

Founders

They studied at the University of California, Los Angeles, before dropping out to co-found VideoAmp in June 2014.

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