Cette offre d'emploi n'est plus disponible
À propos
Build and maintain large‑scale distributed systems to support the whole pipeline including data collection, feature engineering, model training, model evaluation, model deployment, and real‑time serving Develop functional specifications, assess task requirements and scheduling, and participate in the development, debug and support Solve complex real‑world business problems like threat detection and business intelligence by working closely with stakeholders including data scientists, product management and product engineering teams
Who You Are (Success Profile)
You thrive in ambiguity. You’re comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high‑level strategy and hands‑on execution. You are a problem‑solver. You love running towards the challenges because you are laser‑focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high‑trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What We’re Looking for (Minimum Qualifications)
3+ years of experience as a Software Engineer or ML platform engineer Experience with algorithms in building out data collection/processing infrastructure, Machine Learning model training and serving platforms Experience using distributed data processing such as Spark, BigQuery or Apache Beam Deep expertise with cloud infrastructure (AWS)
What Will Make You Stand Out (Preferred Qualifications)
Proven track record of designing, building and shipping end‑end applications at scale Experience identifying and solving problems in data using machine learning systems Familiarity with multi‑agent systems, agent architectures, prompt engineering and SOTA AI frameworks
Equal Employment Opportunity 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. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Reasonable Accommodations Zscaler is committed to providing reasonable support (‘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. #J-18808-Ljbffr
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre a été publiée par l’un de nos partenaires. Vous pouvez consulter l’offre originale ici.