Machine Learning Engineer, Sr Staff
Company: Synopsys Inc
Location: Mountain View
Posted on: June 24, 2022
Job Description:
ResponsibilitiesWork on ML techniques for graph neural networks,
especially for EDA problems. Study newest papers on AI-for-EDA and
provide research inputs appropriately. In particular, enhance
existing placement & routing algorithms for large-scale graphs and
solving them with GNN's.
- Specific Types of Machine Learning Techniques: Support Vector
Machines, Statistical Machine Learning, Bayesian Learning, Neural
Networks (Convolutional: CNN, Recurrent RNN, Graph: GNN),
Attention-based NN's, Reinforcement Learning, Feature Engineering,
Embedding Techniques (Text and Word Embeddings, Vector Embeddings,
word2vec, Code2vec).
- Application Domains of ML: Natural Language Processing (NLP),
Text-based NLP, Emotion- or Accent-detection in language,
Vision-based (Image segmentation, classification, scene analysis),
Recommendation Engines, Autonomous and Self-Driving Techniques in
Robotics, Planning in Search, Semantic Engines.Software Skills for
AI:Knowledge of Python or R, Numpy/Pandas, Graph Libraries,
Tensorflow, OpenCV, Pytorch, Scikit, NLTK, scipy, spacy, pyspark,
fasttext.Basic knowledge of cloud techniques, solid foundation in
ML technology, mathematically strong in statistics and foundations
of AI and statistical machine learning. Should understand neural
networks.Desired Experience:
- Operating systems, IO/Memory/Compute subsystems, databases,
scheduling, virtualization, networking, security,
containerization
- Research/Development experience in one or more:
- Combinatorial optimization problems (e.g., scheduling, vehicle
routing, image analysis, language processing).
- Continuous and discrete optimization problems (e.g., linear
programming, convex programming, non-convex programming).
- Predictive analytics (e.g., forecasting, time-series, neural
networks)
- Prescriptive analytics (e.g., stochastic optimization, bandits,
reinforcement learning).At Synopsys, we're at the heart of the
innovations that change the way we work and play. Self-driving
cars. Artificial Intelligence. The cloud. 5G. The Internet of
Things. These breakthroughs are ushering in the Era of Smart
Everything. And we're powering it all with the world's most
advanced technologies for chip design and software security. If you
share our passion for innovation, we want to meet you.Inclusion and
Diversity are important to us. Synopsys considers all applicants
for employment without regard to race, color, religion, national
origin, gender, sexual orientation, gender identity, age, military
veteran status, or disability.
Keywords: Synopsys Inc, Mountain View , Machine Learning Engineer, Sr Staff, Engineering , Mountain View, California
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