Machine Learning Engineer

About ZscalerServing 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 world s largest security cloud Zscaler accelerates digital transformation so enterprises can be more agile efficient resilient and secure The pioneering AI-powered Zscaler Zero Trust Exchangexe2x84xa2 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 fast-paced 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 world s 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 today s 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 cloud-first strategy We re looking for an experienced Machine Learning Software Development Engineer to join our Engineering team Reporting to the Senior Director Machine Learning Engineering you ll be responsible for Leading the identification and resolution of performance issues by developing models that pinpoint root causes of poor experience and detect performance bottlenecks Developing maintaining and refining predictive models to forecast user behavior system performance and potential friction points Implementing AI ML algorithms to detect and forecast anomalies in user performance data across multiple dimensions Overseeing the entire lifecycle of ML projects including analysis training testing building and deploying ML models into production environments Designing and creating compelling visualizations to effectively communicate findings and insights to both technical and non-technical stakeholders What We re Looking for Minimum Qualifications Must have 3 years of experience as a Software Engineer or ML platform engineer Proficiency with data science tools and platforms such as Python R TensorFlow SQL and related libraries and frameworks 7 years of experience in Python and SQL Expertise in multi-dimensional anomaly detection algorithms with a specific focus on time series data sets Experience in building and deploying ML models in production environments including model orchestration using tools like Kubernetes and Airflow What Will Make You Stand Out Preferred Qualifications Network troubleshooting using tools like traceroute and understanding of various protocols such as HTTP TCP ICMP is highly advantageous Familiarity with Generative AI and NLP techniques Familiarity with networking and systems observability LI-AN4 LI-HybridAt Zscaler we are committed to building a team that reflects the communities we serve and the customers we work with We foster an inclusive environment that values all backgrounds and perspectives emphasizing collaboration and belonging Join us in our mission to make doing business seamless and secure 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 In-office 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 committed to providing equal employment opportunities to all individuals We strive to create a workplace where employees are treated with respect and have the chance to succeed All qualified applicants will be considered 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 characteristic protected by federal state or local laws See more information by clicking on the link Pay TransparencyZscaler complies with all applicable federal state and local pay transparency rules 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 pregnancy-related support