Senior Machine Learning Engineer, Integral Ad Science
$116.9-200.4k
+ Annual bonus and/or other incentive plans
Global media measurement & optimization
Open for applications
Global media measurement & optimization
1001+ employees
Open for applications
$116.9-200.4k
+ Annual bonus and/or other incentive plans
1001+ employees
Company mission
To be the global benchmark for trust and transparency in digital media quality.
Role
Who you are
- PhD/Master’s degree in technical field such as computer science, mathematics, statistics or equivalent years of experience
- 3+ years machine learning experience in industry
- Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
- Experience working with machine learning, ranking infrastructures, and system design
- Strong understanding of machine learning approaches and algorithms
- Able to prioritize duties and work well on your own
- Ability to work with both internal and external partners
- Skilled at solving open ambiguous problems
- Strong collaboration and mentorship skills
What the job involves
- As a Machine Learning Engineer at IAS, you will be part of a team that is at the center of innovation for the company and a major contributor to our core products
- You will be responsible for overseeing a sophisticated suite of data science systems making large scale business predictions in advertising inventory across open web, social networks, video/CTV, and mobile apps
- As part of the data science group at IAS, you will push the boundaries of applications of machine learning (ML) and deliver best-in-class solutions for our clients
- Innovation is at the heart of our competitive advantage, and innovation starts with people and culture
- You will manage a group of data scientists and cultivate innovation in their work, developing high performing talent, ultimately producing a lasting impact on the IAS business
- The types of challenges we solve have attracted people from industry and academia with diverse backgrounds, ranging from ML, mathematics, physics, biology, neuroscience, and computer science to finance and economics
- We’re passionate about maintaining an open and collaborative environment, where team members bring their own unique style of thinking and tools to the table
- Contribute to the system design for our AI/ML-based services
- Design and develop testing and monitoring tools for ML models
- Design and build data pipelines (from storage to monitoring/telemetry)
- Design, develop and support our CI/CD pipeline for AI/ML-based services
- Provide and maintain experimenting tools for our ML scientists
- Evaluate the technical tradeoffs of every decision
- Perform code reviews and ensure exceptional code quality
- Build robust, lasting, and scalable products Iterate quickly without compromising quality
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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