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Sr. Machine Learning Engineer, Ads

Location San Francisco, CA
Salary $190,000-$400,000
Sponsorship Yes
Relocation Yes
Job Category Digital
Yrs Experience 3
Job ID 1092

Job Description

Sr. Machine Learning, Ads
San Francisco

Re-engineering ways companies connect to consumers, incentivizing trial with coupon offers, optimizing campaign returns through personalization & targeting. Lay the foundation of Machine Learning improving targeting across targeted search ads, display ads, quantity discounts, and sampling programs.

Business Impact

- High impact, as ad revenue is 1 of 2 key levers for profitability

Growth Potential

- Shape, build, and scale ads platform and features

Relationships with Top Companies

- We partner with most top 25 U.S. consumer brands to reach new consumer audiences and drive loyalty

Benefit Users with Savings

We help customers save with company sponsored offers

Full Purchase Funnel

- Own entire purchase process, enabling optimizations from indentification to purchase; our campaign return metrics are based on data we own

Build products beginning to end connecting consumers with companies.

Consumers

- Help customers id new products save with personalized offers, utilizing ML to improve search & rankings.

Brands

- Help companies reach new markets & drive increased loyalty. We collaborate closely with company partners to prototype new offerings.

- We improve our value proposition for cost-conscious consumers; sponsorship revenue generated through our products is a key contributor towards our profitability.

About the role

Build data products through analysis & engineering. Work with product managers to id & understand opps & issues as well as prototype models. Engineer solutions for mass production working with product engineers to A/B test experiences. Collaborate with data scientists to understand experiments & fine-tune your problem solving approach.

Utilize Machine learning, customer behavioral psychology and microeconomics shaping offers.

Requirements

Three plus years experience solving problems in search, recommendation engines, & ad targeting

MS or PhD in Artificial Intelligence/ML/stats or equivalent discipline

Python, data manipulation (SQL, Spark, Pandas) and ML (scikit-learn/keras/tensorflow/pytorch) tools

Communicate complex ideas in layman's terms to non-technical stakeholders

Interested in marketplaces, pricing, and auctions

 

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