San Francisco CA. On site. Full time.
About the job Advantra is partnering with an early stage ad tech startup in San Francisco to hire a Founding Applied Scientist to design algorithms and models that power AI-driven ad matching and bidding systems.
About the role You will build and deploy models that improve how ads are matched priced and optimized across an AI-native ad network. The work spans applied research experimentation and productionization of models that directly impact revenue and user experience. You will explore data identify patterns and translate findings into measurable improvements for advertisers and publishers.
Responsibilities -
Design and implement algorithms for real-time bidding and pricing.
-
Build regression and predictive models using demographic and behavioral data.
-
Apply clustering and segmentation methods to large conversational datasets.
-
Develop and run experiments to evaluate model performance.
-
Collaborate with engineers to deploy models in production systems.
-
Analyze ad performance data to identify trends and optimization opportunities.
-
Ensure models adhere to privacy and data compliance standards.
-
Communicate findings clearly to technical and non-technical teams.
-
Contribute to the scientific foundation of the ad matching and targeting system.
Core requirements -
Advanced degree in Physics Computer Science Mathematics Statistics or a related field.
-
4 years of experience in applied science ML engineering or data research.
-
Strong background in statistical modeling and machine learning.
-
Proven ability to design test and deploy production ML models.
-
Experience with Python and common ML frameworks such as PyTorch or TensorFlow.
-
Familiarity with data systems such as PostgreSQL ClickHouse or similar.
-
Demonstrated success in translating research into business outcomes.
-
Experience working with real-time or large-scale data.
-
Strong communication skills across technical and business teams.
-
Evidence of published work shipped models or measurable results.
Nice to have -
Experience in ad tech pricing systems or recommendation models.
-
Knowledge of privacy-preserving learning or federated learning methods.
-
Familiarity with reinforcement learning or auction theory.
-
Experience in early stage or high-growth startups.
-
Interest in optimizing tradeoffs between advertiser and publisher performance.
How to apply Email with links to shipped work and a short note on what you owned. Company name shared after the intro.
About Us Advantra-Upstart Crew is a search program inside Advantra Consulting. We partner with early stage and high growth startups to hire the top 2% in Tech and GTM. We run end to end searches from single role headhunts to full team build outs using domain experts and a vetted network to deliver tight shortlists. We stay close to founders and candidates so the relationship lasts beyond the first hire.
San Francisco CA. On site. Full time. About the job Advantra is partnering with an early stage ad tech startup in San Francisco to hire a Founding Applied Scientist to design algorithms and models that power AI-driven ad matching and bidding systems. About the role You will build and deploy models t...
San Francisco CA. On site. Full time.
About the job Advantra is partnering with an early stage ad tech startup in San Francisco to hire a Founding Applied Scientist to design algorithms and models that power AI-driven ad matching and bidding systems.
About the role You will build and deploy models that improve how ads are matched priced and optimized across an AI-native ad network. The work spans applied research experimentation and productionization of models that directly impact revenue and user experience. You will explore data identify patterns and translate findings into measurable improvements for advertisers and publishers.
Responsibilities -
Design and implement algorithms for real-time bidding and pricing.
-
Build regression and predictive models using demographic and behavioral data.
-
Apply clustering and segmentation methods to large conversational datasets.
-
Develop and run experiments to evaluate model performance.
-
Collaborate with engineers to deploy models in production systems.
-
Analyze ad performance data to identify trends and optimization opportunities.
-
Ensure models adhere to privacy and data compliance standards.
-
Communicate findings clearly to technical and non-technical teams.
-
Contribute to the scientific foundation of the ad matching and targeting system.
Core requirements -
Advanced degree in Physics Computer Science Mathematics Statistics or a related field.
-
4 years of experience in applied science ML engineering or data research.
-
Strong background in statistical modeling and machine learning.
-
Proven ability to design test and deploy production ML models.
-
Experience with Python and common ML frameworks such as PyTorch or TensorFlow.
-
Familiarity with data systems such as PostgreSQL ClickHouse or similar.
-
Demonstrated success in translating research into business outcomes.
-
Experience working with real-time or large-scale data.
-
Strong communication skills across technical and business teams.
-
Evidence of published work shipped models or measurable results.
Nice to have -
Experience in ad tech pricing systems or recommendation models.
-
Knowledge of privacy-preserving learning or federated learning methods.
-
Familiarity with reinforcement learning or auction theory.
-
Experience in early stage or high-growth startups.
-
Interest in optimizing tradeoffs between advertiser and publisher performance.
How to apply Email with links to shipped work and a short note on what you owned. Company name shared after the intro.
About Us Advantra-Upstart Crew is a search program inside Advantra Consulting. We partner with early stage and high growth startups to hire the top 2% in Tech and GTM. We run end to end searches from single role headhunts to full team build outs using domain experts and a vetted network to deliver tight shortlists. We stay close to founders and candidates so the relationship lasts beyond the first hire.
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