Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus. Equal Employment Opportunity Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.
ML Systems Engineer
Location
United States
Posted
3 days ago
Salary
$70 - $110 / hour
Seniority
Mid Level
Job Description
ML Systems Engineer
Mercor
Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: PyTorch Expert Type: Contract Compensation: $70–$110/hour Location: Remote Commitment: 40 hours/week Role Responsibilities - Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics. - Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems. - Evaluate MLOps tasks and solutions and provide clear, written technical feedback. - Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks. - Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications - 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization. - Hands-on production experience with PyTorch at scale. - Experience writing or optimizing custom GPU kernels using Triton or Pallas. - Demonstrable career progression. - Ability to engage reliably for at least 40 hours/week during weekdays. - Strong written communication skills and the ability to explain complex technical decisions clearly. Requirements - W-2 employment with Cincinnatus LLC. Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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