What are the responsibilities and job description for the Senior Machine Learning Engineer (New Jersey-based) position at 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.
One of the primary assets of Zscaler is our data. We gather data on over 400 billion transactions a day, processing 5 trillion datapoints. This is an asset that covers every aspect of our customers' experience online and we firmly believe it is the foundation on which we can disrupt the entire cyber market with AI. We are building a team to work closely with Phil Tee who is leading the creation of this group, directly under our CEO Jay Chaudhry. This is a career defining opportunity for the right person and offers an exciting opportunity to directly impact Zscaler's AI strategy and drive innovation across the organization. You will be reporting to the EVP, Head of AI Innovations, working as an individual contributor you will:
- Develop and deploy end-to-end AI and machine learning pipelines, from data preprocessing to model deployment.
- Design and implement applied ML models for LLM, predictive analytics, anomaly detection, and optimization, etc.
- Work with the team to integrate AI into production ready SaaS offerings to market.
- Analyze large datasets to uncover actionable insights and improve model performance.
- Stay updated on advancements in machine learning and adapt them to solve practical business problems.
What We're Looking for (Minimum Qualifications)
- 2 years experience as a Machine Learning Engineer or Data Scientist along with a Bachelor’s or advanced degree in Mathematics, Physics, Chemistry, Computer Science, Machine Learning, Statistics, or a related field, with 5 years of applied experience in machine learning and data modeling.
- Proficient in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn), with expertise in statistical modeling techniques like regression, clustering, and decision trees.
- Hands-on experience deploying ML models in production using modern tools, combined with strong data manipulation and analysis skills; familiarity with visualization tools like Matplotlib or Tableau.
- Demonstrated problem-solving abilities and capability to work independently on complex tasks.
- A high bias to action and a thirst to learn and grow.
What Will Make You Stand Out (Preferred Qualifications)
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of deep learning techniques, neural network architectures, and domain-specific AI solutions like NLP.
- Understanding of how to build cloud native, microservice architectures.
#LI-JM1
#LI-Hybrid
