Machine Learning Operations Engineer, Integral Ad Science
Global media measurement & optimization
Open for applications
Global media measurement & optimization
1001+ employees
Open for applications
1001+ employees
Company mission
To be the global benchmark for trust and transparency in digital media quality.
Role
Who you are
- You should apply if you have most of of this experience:
- Master’s Degree in Information, Data or Computer Science/Engineering
- 1-3 years of experience in building custom integration between cloud based systems, data pipeline design and/or API/SDK interaction with 3rd party companies
- Experience in Python, Spark, SQL, Cloud Environments (AWS), Databricks, Github
- Good to have: experience working with annotation crowd/tools, ability to understand tools used by data scientists, knowledge of Big Data frameworks, experience in API interaction, Agile, and CI/CD
- Good communication skills, team-oriented
- Fluent in English
What the job involves
- As a Machine Learning Data Engineer, you will be part of a team that is a center of innovation and data quality for the company, and a major contributor to the company's core products.
- You will design and implement data pipelines, build and run tools into large scale production systems in the brand safety domain for advertising inventory across open web, social networks, video/CTV, and mobile apps.
- As part of the Data Quality and Ontology Services team within the data science organization, you will be responsible for multimedia data pipeline building & maintenance, tool & services design for data inspection, and data visualization of model quality. You will bring expertise in software and data engineering following CICD best practices and data engineering
- Work with the team to design/maintain data pipelines and engineering infrastructure to support our annotation systems at scale
- Develop and deploy scalable tools and services to handle data for annotated data inspection, biases, and error patterns investigation
- Build data visualization dashboards to provide results in a digestible way
- Apply software engineering rigor and best practices in developing database designs and implementations, CI/CD and automation pipelines, as well as robust and scalable software
- Collaborate with taxonomists, knowledge engineers, linguistics, machine learning researchers, data scientists and data engineers
- Work across multiple time zones, within your time zone working hours
Our take
Integral Ad Science (IAS) provides verification, optimization, and analytics solutions for the ad industry. It’s a sector that has changed radically since the company was founded back in 2009, but IAS has shown remarkable business savviness in navigating the ups, downs, and advances of the intervening years.
Since being acquired by Vista in 2018, IAS has implemented an aggressive acquisitions strategy of its own. This saw IAS extend its footprint to cover blockchain, TV, photo, and video content, deepen its partnership with TikTok, and expand its safety and suitability measurement program in Twitter. And this helped IAS diversify its product offering to remain competitive in the increasingly crowded adtech and martech markets.
IAS now has a substantial global footprint, and following an IPO has been demonstrating impressive sales, with year-on-year revenue growth exceeding 25% over 2022. Armed with a strong foundation and a road map that balances its focus between traditional advertising and new avenues like web3, its future looks set to be bright.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
5% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jan 2014
$30m
SERIES D
Apr 2012
$10m
SERIES C
Total funding: $49.8m
Company benefits
- Healthcare: comprehensive health insurance
- Flexible PTO: Take what you need, when you need it
- Retirement: 401k match in the US, country-specific pension plans
- Parental leave: Full maternity and paternity leave
- Community: Volunteer opportunities
- Celebrating team players: Peer-nominated awards
- Meals and snacks: Stocked kitchens to fuel your day
- Team events: Frequent happy hours, parties and outings
Company HQ
Midtown East, New York, NY
Leadership
Lisa Utzschneider
(CEo)Prior to joining Integral Ad Science in 2018, Lisa spent 3 years at Yahoo working as an SVP of American Sales and then as CRO. She also spent 6 years at Amazon as a Global VP of Advertising Sales and 10 years at Google as a GM of Sales.
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