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Confidential

Machine Learning Engineer

Scituate, MA

Check who can apply and the requirements below before continuing.

About this opportunity

Confidential lists this Machine Learning Engineer opportunity in Scituate, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Contribute machine learning engineering expertise to AI-focused contract projects, including model training, evaluation, and real-world task development. This is an open application for future remote opportunities aligned with your background and interests.

Role Overview Qualified experts may be connected with AI labs and companies that need machine learning engineering expertise. Opportunities are matched on a rolling basis as projects become available.

Key Responsibilities Train and evaluate AI models in machine learning engineering contexts.

Create tasks and deliverables based on real-world scenarios.

Provide domain-specific feedback that supports advanced AI research.

Qualifications Professional experience developing machine learning models.

Experience with Python and machine learning frameworks such as PyTorch or TensorFlow.

Experience with model deployment and MLOps.

Strong communication skills and the ability to work independently in a remote environment.

Work Terms Remote, hourly contract opportunities.

Projects vary in scope and duration, with typical commitments of 15 to 30 hours per week.

Invited opportunities may be aligned with your schedule and interests, with remote work performed on your own schedule.

Compensation Hourly compensation ranges from $70 to $250.

Eligibility Complete a profile, upload a resume, and confirm your work location. Credentials are reviewed, and qualified candidates who complete an AI interview become eligible for relevant projects as they become available.

Project Availability This application does not correspond to one specific opening. Placement depends on project needs, expertise alignment, and opportunities available at the time.

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