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Apple Machine Learning Engineer - ML Systems Evaluation Engineering United States, Washington, Seattle 843660700
05.08.2025
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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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