Machine Learning Engineer, Sr Staff – 38831BR

Machine Learning       ·        San Jose, CA       ·       Full time

About the job

Responsibilities

Work 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.

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Synopsys has adopted a COVID-19 vaccination policy to safeguard the health and well-being of our employees and visitors. As a condition of employment, all employees based in the U.S. are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.

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.

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