ML Systems Engineer - AI Trainer

mercor; United States; A distancia; USD 96.000 - 152.000; Jornada completa

Descripción de la vacante

Mercor is seeking a PyTorch Expert for a remote contract role. You will work with research and engineering teams to advance AI model performance across MLOps and training infrastructure. This position requires hands-on PyTorch experience at scale, kernel-level optimization, and strong written communication skills.

The role includes a 40-hour workweek and compensation in the USD hourly range. You will collaborate with subject matter experts to ensure high-quality training data and robust ML

Formación

• 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering.
• 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.

Responsabilidades

• 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.

Conocimientos

PyTorch at scale

ML infrastructure

MLOps

ML systems engineering

Strong written communication

40 hours/week availability

GPU kernel optimization

Herramientas

Triton

Pallas

Descripción del empleo

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: 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 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 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.

Compensation & Legal

• W-2 employment with Cincinnatus LLC.

#hiring mercor Originally posted on Himalayas