Technical Lead, Machine Learning

  • Location:
    Offsite, San Jose, California, US
  • Area of Interest
    Security
  • Compensation Range
    164200 USD - 279200 USD
  • Job Type
    Professional
  • Technology Interest
    AI or Artificial Intelligence, Security
  • Job Id
    1396766

Who We Are

The Cisco Security AI team delivers AI products and platform for all Cisco secure products and portfolios so businesses around the world can defend against threats and safeguard the most vital aspects of their business with security resilience. We are passionate about making businesses secure and simplifying security with zero compromise using AI and Machine Learning.

Who You Are

You are an accomplished Senior Machine Learning Engineer with a track record of leading teams and architecting machine learning solutions that have made a significant impact. You are deeply passionate about machine learning, and you thrive in a leadership role where you can mentor and inspire others. Your ideal attributes include:

Technical Leader: You have experience leading and mentoring teams of machine learning engineers and/or data scientists, driving them toward excellence in research, development, and solution deployment.

Architectural Vision: You possess a deep understanding of ML learning system architecture, and you can design complex, scalable, and reliable solutions that meet both security and performance requirements.

Problem-Specific Model Customization: Experience adapting neural network architectures like GANs (Generative Adversarial Networks), Autoencoders, Attention Mechanisms, and Transformers or developing novel architectures to address unique challenges in different domains (e.g., NLP, computer vision, time series analysis).

Handling High-Dimensional Data: Experience managing and extracting useful patterns from high-dimensional data spaces, using techniques like dimensionality reduction or specialized network architectures.

Proficiency in NLP and LLM:  Including production experience with BERT, GPT, or similar, to derive insights from structured and/or unstructured text data. Building custom real-world production NLP models for tasks like text generation or text summarization is a strong plus.

Innovative Solution Development: Ability to apply deep learning techniques innovatively to solve complex problems, often combining domain knowledge (from cybersecurity or other domains) and innovative thinking.

Model Scalability and Efficiency: Expertise in developing models that can be deployed in different environments, including understanding trade-offs between model complexity and performance.

Continuous Learning and Adaptation: Commitment to staying abreast of the latest research and trends in deep learning, continually integrating new findings and techniques into problem-solving approaches.

What You Will Do

Team Leadership: Lead and mentor teams of ML engineers and data scientists, providing technical guidance, setting strategic direction, and fostering innovation and excellence.

Architecture Design: Design and architect complex machine learning systems that meet performance requirements, security and scalability while also ensuring alignment with the overall security strategy.

Model Development: Develop and implement advanced ML models and algorithms to tackle difficult security problems, including threat detection, anomaly detection, and risk assessment.

Model Training and Evaluation: Own the training, validation, and fine-tuning of ML models using the most current techniques and libraries. Define and track security-specific metrics for model performance.

Solution Development: Design and implement robust software systems to integrate, deploy, and maintain models in production environments. This includes developing and optimizing software frameworks, ensuring smooth model integration, and rigorously testing systems to maintain high reliability and performance standards.

Deployment Strategy: Collaborate with software engineering teams to build deployment strategies for ML models into security systems, ensuring scalability, reliability, and efficiency.

Documentation and Best Practices: Establish standard processes for machine learning and security operations, and maintain clear documentation of models, data pipelines, and security procedures.

Basic Qualifications

  • 8+ years experience leading technical teams with a portfolio of successful projects.
  • 5+ years experience with programming languages such as Python or R, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • 3+ years experience building real-world ML and AI products.
  • BA / BS degree with 7+ years of relevant experience (or) MS degree with 5+ years.

Preferred Qualifications

  • Expertise in machine learning algorithms, deep learning, and statistical modeling.
  • Education in Computer Science, Data Science, Statistics, Computational Linguistics or a related field.

Why Cisco Secure

#WeAreCisco, where each person is unique. We bring our talents to work as a team each day, helping power an inclusive future for all. Get to know us!

We’re global, we’re adaptable, we’re diverse, and our security portfolio is as extensive as it is groundbreaking. Have you heard of Threat, Detection & Response, Zero Trust by Duo, Common Services Engineering, or Cloud & Network Security? Those are only a few of our product teams! The only thing we’re missing is YOU.

Join an enterprise security leader with a start-up environment, committed to driving innovation and giving you the opportunity to make an impact. We #InnovateToWin and we know we’re better together, that’s why we’re dedicated to inclusivity, collaboration, and diversity in everything we do.

We’re proud to be the Best Security Company in 2021 with the Best Authentication Technology and the Best Small and Mid-Size Enterprises Security Solution in 2022 by SC Media. Cisco Secure continues to grow and evolve year after year with 100% of Fortune 100 Companies using our products, and we’re excited to see the new heights we’ll reach with your passion for security and your desire to change things up!

What else can you expect? An ongoing investment in your growth—that’s why we offer many employee resource groups (called Inclusive Communities), mentorship programs, and hundreds of learning resources to consistently level up your experience and explore your interests. Because when you succeed, we succeed!

"Cisco Secure offers an environment that combines cool, technology with some of the brightest, most diverse set of people I’ve ever had the pleasure of working with." - Chief of Staff, Engineering

Join Cisco Secure - Be You, With Us!

#CiscoSecureEng23


Message to applicants applying to work in the U.S. and/or Canada:

When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees have access to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.

Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco’s flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco’s Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter.  Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:

.75% of incentive target for each 1% of revenue attainment up to 50% of quota;

1.5% of incentive target for each 1% of attainment between 50% and 75%;

1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

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