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Staff Engineer, Machine Learning
2 months ago
Select how often (in days) to receive an alert:
Sr Principal Machine Learning EngineerLocation:
Redwood City, CA, US
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 Sr Principal Machine Learning Engineerto 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) and lead other Data Scientists to implement the POCs into production and scale up the solutions.
Responsibilities:- 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
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)
- 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
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.
#LI-DNI
Additional Information
Return to Office: PubMatic employees throughout the global 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, fully stocked pantries, as well as 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.
Nearest Major Market: San Francisco
Nearest Secondary Market: Oakland
