Senior Machine Learning Engineer -- Data Classification

• 5+ years of relevant ML or software engineering experience, including hands-on classification work. \n

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

• Demonstrated experience personally building or improving classification systems. \n

• Practical understanding of precision, recall, overfitting, data leakage, and validation. \n

• Experience working within existing enterprise codebases and toolchains. \n

• Ability to translate analytical findings into tested engineering changes.

Compensation is $110,000-$130,000 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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