- 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
- People leadership of a team is available, if that interests you
- PhD in a STEM field required
- 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
- 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
- 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
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Machine Learning Staff Engineer - Redwood City, United States - PubMatic
Description
PubMatic is immediately hiring a Machine Learning Staff Engineer to join our growing team in Redwood City on a hybrid schedule.
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.
Responsibilities
Qualifications
Solid Experience With a Mix Of
Understanding Of
Nice To Have
Compensation And Benefits
Base Salary Range: $230,000 - $260,000
In accordance with applicable law, the above salary range provided is PubMatic's reasonable estimate of the base salary for this role. The actual amount may vary, based on non-discriminatory factors such as location, experience, knowledge, skills and abilities. In addition to salary PubMatic also offers a bonus, restricted stock units and a competitive benefits package.
Return to Office: PubMatic employees around the world 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.
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 expenses, fully stocked pantries, and fresh catered lunches 5 days a 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.
Machine Learning Staff Engineer professionals in Redwood City
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Shawn Berry
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Lucia Mocz
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Jorge Barrera
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