Job Location: Bangalore
At Palo Alto Networks® everything starts and ends with our mission:
Being the cybersecurity partner of choice, protecting our digital way of life.
We have the vision of a world where each day is safer and more secure than the one before. These aren’t easy goals to accomplish – but we’re not here for easy. We’re here for better. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.
Disruption is at the core of our technology and on our way of work to meet the needs of our employees now and in the future through FLEXWORK, our approach to how we work. We’re changing the nature of work from benefits to learning, location to leadership, we’ve rethought and recreated every aspect of the employee experience at Palo Alto Networks. And because it FLEXes around each individual employee based on their individual choices, employees are empowered to push boundaries and help us all evolve, together.
We are looking for an exceptionally talented Machine Learning Engineer to be part of a fast paced team that uses Machine Learning to build innovative products for organizations to easily discover, classify, and protect highly sensitive data across SaaS applications. Our team finds solutions to hard problems, is innovative in finding data, builds models, and puts them into production. We produce several patents every year.
Apply machine learning, NLP, and deep learning methods to massive structured and unstructured data sets, classify documents, perform context analysis and extract complex patterns
Leverage the latest advances in Deep Learning and NLP to develop scalable solutions to improve the overall product experience by ensuring high efficacy, low false positive and false negative rates
Architect and assume end-to-end ownership of ML implementations while optimizing for scalability, performance and code quality
Be a Technical Leader to develop and drive ML best practices and processes across the board
Discover new opportunities to apply ML/NLP to solve critical problems and design a high-value roadmap that scales the impact of ML for customers
Partner with Product and Business teams to ideate, collaborate and define product roadmaps that advance our ecosystem of Data Security and DLP offerings
MS / PhD in Computer Science, Mathematics, Statistics, or related field
9+ years industry / academia experience in software development, minimum 5 years as a machine learning engineer or a data scientist
Be an excellent programmer; experience with distributed cloud systems like GCP or AWS and containers like Docker a plus
Proven track record in solving difficult real world problems by applying Machine Learning techniques
Experience with deep learning frameworks such as PyTorch and TensorFlow, Computer Vision, NLP, or related areas is a big plus
Have a strong working knowledge of machine learning algorithms such as XGBoost/CatBoost, CNNs, LSTMs, NLP frameworks like SpaCY, Gensim, NLTK, Byte Pair Encoding schemes, etc.
Thorough understanding of ML Ops best practices, ability to design, test, measure algorithms/models and orchestrate
Have a “get stuff done” attitude, enjoy being hands-on and working alongside the team to solve the most pressing problems in a fast-paced, collaborative environment
Bonus: Passion for security, prior experience in NLP and/or security products or services
Our engineering team is at the core of our products and connected directly to the mission of preventing cyberattacks. We are constantly innovating — challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve the problems no one has pursued before.
We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.
We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. To learn more about our dedication to inclusion and innovation, visit our Life at Palo Alto Networks page and our diversity website.
Palo Alto Networks is evolving and changing the nature of work to meet the needs of our employees now and in the future through FLEXWORK, our approach to how we work. From benefits to learning, location to leadership, we’ve rethought and recreated every aspect of the employee experience at Palo Alto Networks. And because it FLEXes around each individual employee based on their individual choices, employees are empowered to push boundaries and help us all evolve, together.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
Additionally, we are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or an accommodation due to a disability or special need, please contact us at [email protected]
Covid-19 Vaccination Information for Palo Alto Networks Jobs
- Vaccine requirements and disclosure obligations vary by country.
Unless applicable law requires otherwise, you must be vaccinated for COVID or qualify for a reasonable accommodation if:
- The job requires accessing a company worksite
- The job requires in-person customer contact and the customer has implemented such requirements
- You choose to access a Palo Alto Networks worksite
- If you have questions about the vaccine requirements of this particular position based on your location or job requirements, please inquire with the recruiter.