Senior Machine Learning Engineer (Artificial Intelligence/Machine Learning/Natural Language Processing/Language Model/Generative AI)

Company Description

Our Mission

At Palo Alto Networks® everything starts and ends with our mission:

Becoming the cybersecurity partner of choice, protecting our digital way of life.

Our vision is a world where every day is safer and more secure than the previous one. We are a company founded on the principle of challenging and changing the status quo, and we're searching for innovative individuals who are as committed to shaping the future of cybersecurity as we are.

Our Approach to Work

We initiate all our people programs with flexibility and choice. We have disrupted the traditional view that all employees have the same needs and wants. We provide personalization and give our employees the chance to select what suits them best whenever possible - from your wellbeing support to your growth and development, and everything else!

At Palo Alto Networks, we believe in the power of teamwork and value face-to-face interactions. Hence, our employees typically work from the office three days per week, leaving two days to choose and adjust to work where you feel most efficient. This arrangement encourages casual conversations, problem-solving, and developing trusted relationships. Albeit details may change, our objective is to create a space where innovation flourishes, with teams coming together three days a week to collaborate and thrive, collaboratively!

Job Description

Your Career

You will have the chance to build a career solving network security challenges using sophisticated machine learning techniques on exabytes of data. You will help create and deliver the most advanced AI and Machine Learning solutions to identify threats, provide intelligence and protect devices.

Your Impact

• You will work in a fast-paced team to create and deliver new product features and mission tasks to the security platform used by many customers daily
• You will actively engage and contribute to the security community through collaborations
• You will be part of the team that leads and pushes the technology development in the security industry and contributes positively to business
• Design and development of workflow frameworks (utilizing formal methods and algorithms), with result collection and visualization, monitoring tools
• Creation and delivery of training materials

Qualifications

Your Experience

• M.S. or Ph.D in Computer Science, Mathematics, Electrical Engineering or related field or equivalent military experience required
• 4+ years industry experience in Machine Learning techniques and data analytics
• 4+ years experience in design, algorithms and data structures - Expertise with one or more of the following languages is must - Java, C++, Python, Rust
• Experience with NLP, Recommender Systems, and LLM is strongly preferred
• Experience with Formal Methods toolchain (z3, cvc5, TLA+) will be a plus
• Excellent communication skills with the ability to influence at all levels of the organization
• A self-driven individual contributor and an excellent team player

Additional Information

The Team

Drawing on the near realtime data collected through PAN-OS device telemetry, our industry-leading next generation insights product (AIOps for NGFW) provides large cybersecurity operators a force multiplier that offers visibility into the health of their next-generation-firewall (NGFW) devices. It enables early detection of issues at various levels of the stack using advanced time-series forecasting and anomaly detection with unique deep learning techniques. Our goal is to prevent service-impacting issues in crucial security infrastructure that operates 24/7/365 with no false positives and false negatives. You will be working on the best large language model in the cybersecurity industry.

Our Commitment

We're pioneers who dream big, take risks, and question cybersecurity's status quo. Put simply: we can't achieve our mission without diverse teams innovating together.

We are dedicated to providing reasonable accommodations for all individuals with a disability. If you need assistance or accommodation because of a disability or special need, please contact us at [email protected].

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 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 any other legally protected characteristics.

All your data will be kept confidential according to EEO regulations.

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $132,600/yr to $214,500/yr. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits can be found here.

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