Mlops Engineer - AI Specialist

### About the job **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:** MLOps Engineer Expert **Type:****Contract** **Compensation:****$90–$140/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 **Must-Have** * ****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 **JAX** and/or **PyTorch** at scale.** * **Experience writing or optimizing custom **GPU kernels** using **Pallas (JAX)** or **Triton**.** * **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.** ### **Application Process (Takes 20–30 mins to complete)** * **Upload resume** * **AI interview based on your resume** * **Submit form** ### **Resources & Support** * **For details about the interview process and platform information, please check:** * **For any help or support, reach out to:** **_PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity._** Originally posted on [Himalayas](https://himalayas.app)