Senior Machine Learning Engineer, Integral Ad Science

$116.9-200.4k

+ Annual bonus and/or other incentive plans

Tensorflow

Spark

Scikit-Learn

PyTorch

Mid and Senior level

San Francisco Bay Area

Digital advertising analysis

Be an early applicant

Digital advertising analysis

1001+ employees

B2BBig dataBusiness IntelligenceSaaSAdvertisingData Analysis

Be an early applicant

$116.9-200.4k

+ Annual bonus and/or other incentive plans

Tensorflow

Spark

Scikit-Learn

PyTorch

Mid and Senior level

San Francisco Bay Area

1001+ employees

B2BBig dataBusiness IntelligenceSaaSAdvertisingData Analysis

Company mission

IAS's mission is to be the global benchmark for trust and transparency in digital media quality for the world's leading brands, publishers, and platforms.

Job

Company

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. 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 a recent 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

Led by a woman

Top investors

5% employee growth in 12 months

Glassdoor (3.9)

Company

Funding (last 2 of 4 rounds)

Jan 2014

$30m

SERIES D

Apr 2012

$10m

SERIES C

Total funding: $49.8m

Company benefits

Comprehensive health insurance
Flexible PTO
401k match in the US, country-specific pension plans
Full maternity and paternity leave
Volunteer opportunities
Peer-nominated awards
Stocked kitchens to fuel your day
Frequent happy hours, parties and outings

Company HQ

West Village, New York, NY

Leadership

Lisa Utzschneider

(CEO, not founder)

Spent a decade with Microsoft's sales team, before moving on to work as Amazon's global VP of ad sales. Subsequently served as CRO at Yahoo.

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