Lead Machine Learning Engineer -- Data Classification & Security

• 8+ years of relevant software or ML engineering experience, including technical leadership. \n

• Demonstrated ownership of classification systems from evaluation through deployment. \n

• Strong Python, SQL, debugging, code review, and automated testing skills. \n

• Experience with rule-based and/or ML-based classification systems. \n

• Practical understanding of precision, recall, sampling bias, overfitting, and validation. \n

• Ability to work within existing enterprise codebases and toolchains.

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• Strong client communication and experience leading a small technical team. \n

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Preferred Experience

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• Sensitive-data discovery, DLP, privacy engineering, security analytics, or content classification. \n

• Building and operating classification systems at enterprise scale. \n

• Prior experience at Google, Microsoft, Meta, Amazon, Apple, NVIDIA, Tesla, or a comparable technology organization. \n

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We prioritize demonstrated technical ownership and delivery over employer names.

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Compensation & Employment Structure

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Compensation is $135,000-$155,000 annualized, based on relevant experience and qualifications, paid monthly during the initial three-month contract period. Partial months will be prorated.

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The initial contract requires a full-time commitment and includes no company-provided employee benefits. Following a review of performance and ongoing business needs, the role may convert to permanent full-time employment with Symosis’s standard employee benefits. Compensation will be reviewed at conversion.

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Work must be performed within the United States, with availability for Pacific Time collaboration. SF Bay Area candidates are preferred; remote arrangements are subject to client approval.

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