Machine Learning Staff Engineer (Senior)
- Work from Anywhere, Work from Home, Remote - US, United States
- Employees can work remotely
- Department: Machine Learning / Ad Serving
PubMatic (Nasdaq: PUBM) is an independent technology company maximizing customer value by delivering digital advertising’s supply chain of the future.
PubMatic’s sell-side platform empowers the world’s leading digital content creators across the open internet to control access to their inventory and increase monetization by enabling marketers to drive return on investment and reach addressable audiences across ad formats and devices.
Since 2006, our infrastructure-driven approach has allowed for the efficient processing and utilization of data in real time. By delivering scalable and flexible programmatic innovation, we improve outcomes for our customers while championing a vibrant and transparent digital advertising supply chain.
We are immediately hiring a Machine Learning Staff Engineer to join us in Redwood City, New York City or Remotely within the United States.
Reporting to the SVP of Addressability & Marketplace in Eastern Time, this senior contributor is a proven 'doer' to develop, implement and extend data-intensive ML software for real-time auctioning, ad inventory estimation, and audience segmentations. Working with our Big Data, Ad Serving, and Product Managers, you will apply Machine Learning to create POCs (Proofs of Concept). Then you will lead other Data Scientists to implement the POCs into production and scale up the solutions.
- Design and implement core components of our algorithms, as well as model the large amounts of data that PubMatic generates daily
- Develop and implement data-intensive machine learning software for real-time auctioning, ad inventory estimation, audience segmentations, and other AdTech applications
- Work with data scientists, product managers, and software engineers to develop and support the software for new Machine Learning products
- Ensure excellence in delivery to internal and external customers
- MS or PhD in a STEM field
- 3+ years of hands-on industry work experience designing and building large-scale ML algorithms and ETL that are well-designed, cleanly coded, well-documented, operationally stable, and timely delivered
- 5+ years total analytical work, including academic research
Solid Experience with a Mix of:
- 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)
- Graduate statistics and 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 and 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 and alike), ML on clusters of GPUs, SageMaker, Jupyter
- Excellent communication skills, cultural fit and natural curiosity in learning the ML developments and domain expertise
Nice to Have:
- Experience in Programmatic advertising and RTB
- Deep reinforcement learning (Bellman equations, MDP, policy optimization, credit assignment, or multi-agent)
- Proficiency with Spark (ML Lib, GraphX), Hadoop, Kafka, Hive
- Scala, Java, C/C++
- Record of STEM publications in top journals or conferences
- High rank at Kaggle competitions
Return to Office: PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions. All PubMatic employees in the US and India are required to be fully vaccinated to return to our offices. Covid-19 boosters are not required at this point in time.
Benefits: Our benefits package includes the best of what leading organizations provide such as, paid leave programs, paid holidays, healthcare, dental and vision insurance, disability and life insurance, commuter benefits, physical and financial wellness programs, unlimited DTO in the US (that we actually require you to use!), reimbursement for mobile and internet expenses and fully stocked pantries plus in-office catered lunches 3 days per week.
Diversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and 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.