ML Systems Engineer — Remote & Flexible Projects

DataAnnotation; Town of Ithaca (NY); Remote; USD 138,000 - 207,000; Full time

Benefits offered by this job

Remote work

Job summary

DataAnnotation is seeking a Machine Learning Engineer to stress-test models’ reasoning about ML systems, spanning training dynamics, evaluation design, data pipelines, and deployment trade-offs. You’ll craft prompts, review outputs for subtle errors, and supply correct, practitioner-grounded solutions.

Applicants should have hands-on ML experience with Python and PyTorch or JAX, plus a strong command of written English. No degree is required, and remote, project-based work is common.

Qualifications

• Hands-on experience training, evaluating, or deploying ML models in real projects.
• Strong Python, PyTorch or JAX proficiency for modeling and experimentation.
• Clear written English to articulate model reasoning and results clearly.

Responsibilities

• Write prompts that probe how models reason about training, evaluation, debugging, and productionizing ML systems.
• Review AI output for subtle errors such as leaky evaluations, wrong loss formulations, and misdiagnosed training failures.
• Write the correct solution when the model falls short, grounded in real practitioner experience.

Skills

Hands-on ML experience

Python

PyTorch

JAX

Clear written English

Tools

Python

PyTorch

JAX

Job description

DataAnnotation is seeking a Machine Learning Engineer to stress-test models’ reasoning about ML systems, spanning training dynamics, evaluation design, data pipelines, and deployment trade-offs. You’ll craft prompts, review outputs for subtle errors, and supply correct, practitioner-grounded solutions.

Applicants should have hands-on ML experience with Python and PyTorch or JAX, plus a strong command of written English. No degree is required, and remote, project-based work is common.