Sr Staff Machine Learning Engineer
Sr Staff Machine Learning Engineer
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$ 147000 - 210000
1 Vacancy
Job Description
About Zscaler
Serving thousands of enterprise customers around the world including 40 of Fortune 500 companies Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the worlds largest security cloud Zscaler accelerates digital transformation so enterprises can be more agile efficient resilient and secure. The pioneering AIpowered Zscaler Zero Trust Exchange platform which is found in our SASE and SSE offerings protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users devices and applications in any location.
Named a Best Workplace in Technology by Fortune and others Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fastpaced and collaborative and you are passionate about building and innovating for the greater good come make your next move with Zscaler.
Our Engineering team built the worlds largest cloud security platform from the ground up and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint the team has made us and our multitenant architecture todays cloud security leader with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects software engineers security experts and more who are enabling organizations worldwide to harness speed and agility with a cloudfirst strategy.
Were hiring a talented Sr. Staff Machine Learning Engineer to join our growing ML/AI team at Zscaler. The team focuses on various cybersecurity use cases including threat detection policy recommendation malware detection content classification and anomaly detection through advanced algorithms. In this role youll have the opportunity to work on innovative ML/AI projects that address important cybersecurity challenges. This is a hybrid work environment going into our San Jose CA office 3 days a week. Reporting to the VP Software Development Engineering youll be responsible for:
- Leading the design and development of ML components cybersecurity applications and providing technical guidance to junior and midlevel engineers
- Optimizing existing machine learning pipelines for improved efficiency and scalability
- Exploring and experimenting with advanced machine learning algorithms agents and architectures to solve complex cybersecurity problems
- Collaborating with crossfunctional teams to define project requirements and ensure alignment with business objectives
- Advancing the frontier in machine learning and applying them to our cybersecurity solutions.
What Were Looking for (Minimum Qualifications)
- 7 years of experience as a Machine Learning Engineer/scientist with a proven track record of delivering successful projects
- Strong proficiency in Python SQL
- Extensive experience in data modeling feature engineering model development and error analysis
- Solid understanding of mathematical machine learning concepts Game Theory Reputation Systems Dynamical systems etc
- Bachelors degree in Computer Science Physics Mathematics or a related technical field (Masters Degree or PhD preferred)
What Will Make You Stand Out (Preferred Qualifications)
- Experience developing scalable algorithms with expertise in unsupervised learning techniques and model explainability
- Strong background in public cloud services (e.g. AWS Google Cloud Azure) and ML automation platforms with prior experience on cybersecurity projects/products
- Proficiency in Rust programming for highperformance applications and secure coding practices
#LIJM1
#LIHybrid
Zscalers salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors including jobrelated skills experience and relevant education or training.
The base salary range listed for this fulltime position excludes commission/ bonus/ equity (if applicable) benefits.
Base Pay Range
$147000 $210000 USD
At Zscaler we believe that diversity drives innovation productivity and success. We are looking for individuals from all backgrounds and identities to join our team and contribute to our mission to make doing business seamless and secure. We are guided by these principles as we create a representative and impactful team and a culture where everyone belongs. For more information on our commitments to Diversity Equity Inclusion and Belonging visit the Corporate Responsibility page of our website.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- Inoffice perks and more!
By applying for this role you adhere to applicable laws regulations and Zscaler policies including those related to security and privacy standards and guidelines.
Zscaler is proud to be an equal opportunity and affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all of our employees. All qualified applicants will receive consideration for employment without regard to race color religion sex (including pregnancy or related medical conditions) age national origin sexual orientation gender identity or expression genetic information disability status protected veteran status or any other characteristics protected by federal state or local laws.
See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal state and local pay transparency rules. For additional information about the federal requirements click here.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled have long term conditions mental health conditions or sincerely held religious beliefs or who are neurodivergent or require pregnancyrelated support.
Required Experience:
Staff IC
Employment Type
Full-Time
