Data Analytics / ML Engineer Job at Synopsys
43549BR
USA - California - Mountain View/Sunnyvale
Job Description and Requirements
You will be part of a geographically distributed team of machine learning and data science experts, as applied to semiconductor chip design
As a part of Big Data Analytics/AI-ML team you will collaborate with a global team in defining and developing a high performance, productivity enhancing product. You will work with domain experts to identify the most efficient way to collect and process data to derive data insights and prescribe recommendations. You will work with Machine Learning/Deep Learning engineers to develop models for Predictive and Prescriptive data analytics. You will also play critical role in establishing a process of digital design causal inference which helps chip engineers in making data inspired conclusions.
What You'll Need
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.
The base salary range across the U.S. for this role is between $81,000-$141,000. In addition, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request.
As a part of Big Data Analytics/AI-ML team you will collaborate with a global team in defining and developing a high performance, productivity enhancing product. You will work with domain experts to identify the most efficient way to collect and process data to derive data insights and prescribe recommendations. You will work with Machine Learning/Deep Learning engineers to develop models for Predictive and Prescriptive data analytics. You will also play critical role in establishing a process of digital design causal inference which helps chip engineers in making data inspired conclusions.
What You'll Need
- Understanding of the mathematical foundations of statistics, machine learning, and analytics.
- Experience with exploratory data scrutiny, statistical analysis, hypotheses testing, and model development.
- Experience in building and evaluating machine learning models.
- Fluency in SQL and Spark to write efficient codes at scale with large data.
- Fluency in C++ and Python Programming, writing applications that scale with large data.
- Proven experience of 2+ years in the relevant field. PhD, MS degree in Statistics, Machine Learning, Artificial Intelligence, Computer Science or other quantitative fields.
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.
The base salary range across the U.S. for this role is between $81,000-$141,000. In addition, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request.
Job Category
Engineering
Country
United States
Job Subcategory
R&D Engineering
Hire Type
Employee
Base Salary Range
$81,000-$141,000
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