358 jobs for "Cybersecurity Systems Engineer"

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Machine Learning Engineer, Information Security

At Apple - Seattle

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Software Engineering & AI Intern

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Cleared Senior/Principal Systems Analyst, Onsite

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AI/ML Internship: Self-Improving AI Agents for Cybersecurity, SEAR

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Associate Professional, Software Engineering

At Cargill - Bengaluru

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Director, Data Engineering

At Mastercard - Toronto

Posted on Oct 15

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Apple

Machine Learning Engineer, Information Security

Seattle, WA$142,300 – $263,300Posted 23 days ago

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Why you should apply for a job to Apple:

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Join Apple's Information Security Machine Learning (ISML) team, where we are redefining cybersecurity through data-driven intelligence. Our mission is to transform traditional reactive security measures into autonomous systems that proactively detect and defend against threats. We achieve this through cutting-edge research, applied science, and robust infrastructure development. We are seeking a highly motivated and talented Machine Learning Engineer to join our dynamic and growing team. You will play a pivotal role in designing, developing, and deploying machine learning models that power our advanced security products and services. This is an incredible opportunity to make a real world impact by building intelligent systems that detect and prevent advanced threats, enhance critical security processes, and protect Apple and our customers.

Description

The Security ML Engineer will bring their expertise in machine learning to the problems and opportunities facing Information Security at Apple. You will contribute to the Autonomous Security program by developing production ready AI/ML systems using Apple's internal platforms, cloud services, and local compute environments.

You will translate research to design, building and deploying machine learning models for security use cases, leveraging generative AI, statistical modeling, reinforcement learning, and data science to address complex security challenges. You will collaborate with cross-functional teams including security teams, software engineers, and researchers to prototype and scale AI/ML driven security solutions. You will own end-to-end ML workflows: data exploration, model development, evaluation metrics design, deployment, and monitoring.

Preferred Qualifications

Ph.D. in a technical field such as Computer Science, Engineering, Statistics, or related disciplines.

In-depth knowledge of ML algorithms, including supervised/unsupervised learning, deep learning (CNNs, RNNs, LSTMs), and large language models.

Industry experience in deploying ML and generative AI solutions in cybersecurity contexts.

Familiarity with cloud platforms (e.g., AWS, GCP) and their security offerings is a plus.

Experience with large scale data processing and analysis using tools such as Apache Spark.

Experience working in a key security process, such as Incident Response, Threat Intelligence, or Vulnerability Management.

Experience with specific security tools and technologies (e.g., SIEM, IDS/IPS, endpoint security solutions).

Contributions to open-source security or machine learning projects.

Publications or talks at top-tier ML or security conferences.

Additional proficiency in C++ or Swift is a plus

Minimum Qualifications

BSc or Masters degree in Machine Learning, Data Science, Computer Science, Information Security, Mathematics, Statistics, or related field.

Strong programming skills in Python and Scala; experience with ML libraries such as TensorFlow, PyTorch, HuggingFace, and Scikit-learn.

Hands-on experience with full ML model lifecycle: from experimentation to deployment and monitoring.

Solid grasp of security fundamentals including network security, incident response, threat modeling, and vulnerability management.

Excellent written and verbal communication skills, with the ability to present technical concepts clearly to varied audiences.

Familiarity with CI/CD workflows and ML pipelines .

Experience operating, and scaling production services in cloud native environments.

Experience deploying models on CUDA devices using tools like TensorFlow or Torch.

Proven experience building generative AI applications for real-world use cases.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $142,300 and $263,300, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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