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Apple Machine Learning Engineer - ML Systems Evaluation Engineering United States, Washington, Seattle 843660700
05.08.2025
In this role, you’ll drive the development of innovative detection technologies that uncover malicious activity within our existing datasets and alert streams. You’ll need a deep understanding of attacker behavior, along with the technical ability to independently design and build systems that transform large volumes of raw signals into high-fidelity, actionable alerts.
As part of the ASE Detection Team, you will: - Deliver technology and insights to get more value out of existing datasets and detection alerts combining existing datasets and detection signals to surface up high quality alerts and malicious activities.- Deliver technology to facilitate and/or automate efficient initial analysis and investigation of the roll-up alerts, leveraging Slack Ops.- Drive improvement in manual response to detection alerts.
- 7 years of experience developing and delivering technology. 5 years should be hands-on writing code in either Scala or Python.
- Masters Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or Information Systems. Educational coursework must have provided a strong foundation in statistical theory, algorithms, and data structures.
- Credible understanding of real attacker behaviors (e.g. threat intelligence, incident response, threat hunting, red teaming, etc).
- Proven track record to incubate technology solutions “from zero to one” with minimal guidance.
- Experience delivering systems to find very small amounts of signal in a very large dataset that has high noise.
- Publicly accessible source code or published papers related to finding very small amounts of signal in a very large and diverse dataset.
- Experience developing custom slack integrations, and integrating with various ticket tracking systems.
- Experience with kubernetes.
- Experience with web services and databases.
- Experience with syscall events especially around network and process.
- Experience with kernel and virtualization stacks.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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