Events  Classes  Jobs 
    Sign in  
Pubmatic // marketing automation software
Engineering, Full Time       Posted: Wednesday, June 12, 2019
Apply To Job
  Company Description

PubMatic is a publisher-focused sell-side platform for an open digital media future.

Featuring leading omni-channel revenue automation technology for publishers & enterprise-grade programmatic tools for media buyers, PubMatic's publisher-first approach enables advertisers to access premium inventory at scale.

Processing over one trillion ad impressions per month, PubMatic has created a global infrastructure to drive publisher monetization & control over their ad inventory.

Since 2006, PubMatic's focus on data & technology innovation has fueled the rise of the programmatic industry as a whole. Headquartered in Redwood City, California, PubMatic operates 13 offices & six data centers worldwide.

Job Description

We are looking for a strong Data Scientist orMachine Learning Engineer (MLE) - a proven 'doer' to develop, implement & extend data-intensive ML software for real-time auctioning, ad inventory estimation, & audience segmentations.

You will design & implement core components of our algorithms, as well as model & monetize the terabytes of structured data that PubMatic generates daily.

Working with our Data Science & Ad Serving teams, you will apply ML to help get things done.


Development & implementation of data-intensive ML algorithms & software for real-time auctioning, ad inventory estimation, audience segmentations, & related AdTech applications.

Working with data scientists, product managers, & software engineers to develop & support the software for new ML products.

Ensuring excellence in delivery to internal & external customers


MS / PhD in STEM field

3+ years of hands-on industry work experience designing & building large-scale ML algorithms & ETL that are well-designed, cleanly coded, well-documented, operationally stable, & timely delivered

5+ years total analytical work, including academic research

Solid experience with:

Python or R, including ML libraries (SKLearn, NumPy, caret, e1071, ), including CPU/GPU parallelization, matrix algebra, vectorization, linear programming, lambda programming, OOP,

At least one of the DL frameworks (TensorFlow, PyTorch, Caffe, Theano, Keras, or alike)

Solid understanding of:

Graduate statistics & probability (inference, hypothesis testing, p-value, ANOVA, CLT, LLN, Bayes' theorem, A/B testing, combinatorics, PDF/CDF, joint/conditional/marginal densities)

Vector calculus (gradients, Jacobians, partial derivatives & integrals, optimization)

Linear algebra (eigen values/vectors, inverses, decompositions, orthogonality, multi-linear)

Time series (ARIMA, GARCH, forecasting, Kalman filter)

Shallow ML algorithms: regressions, SVM, kMeans, kNN, NB, HMM, PCA, NMF, SVD, XGBoost, decision trees, ensemble methods (random forest)

Deep NN algorithms: MLP, RNN, LSTM, CNN, GRU

ML concepts: backprop, hyperparameter tuning (Bayesian optimization, grid/random search), regularization, learning rate, optimization

Advanced work with SQL or NoSQL, including nested/join/aggregate queries, stored procedures, over partition by, basic stat functions

Cloud compute engines (AWS, Azure, GCP & alike), ML on clusters of GPUs, SageMaker, Jupyter

Excellent communication skills, cultural fit & natural curiosity in learning the ML developments & domain expertise

Nice to have:

Prior experience with programmatic advertising & RTB

Deep reinforcement learning (Bellman equations, MDP, policy optimization, credit assignment, multi-agent)

Proficiency with Spark (ML Lib, GraphX), Hadoop, Kafka, and/or Hive

Proficiency with Scala, Java, and/or C/C++

Record of STEM publications in top journals or conferences

High ranking at Kaggle competitions

What's the first step?

Please complete thisquick self-ranking of your strengths, & we can get you started!

Additional Information

PubMatic is proud to be an equal opportunity employer; we don't just value diversity, we promote & celebrate it.

We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

All your information will be kept confidential according to EEO guidelines.

Apply To Job
© 2020 GarysGuide      Terms