Machine Learning Engineer

YO HR Consultancy; United States; Remote; USD 110,208 - 165,312; Part time

Job summary

A leading HR consultancy is seeking a Machine Learning Engineer to work remotely on innovative projects. This part-time role spans through December 2022, with a commitment of approximately 20 hours per week. Ideal candidates should have 0-2 years of experience or a relevant PhD, expertise in Python and various ML libraries. This position provides competitive pay ranging from $80 to $120 per hour based on experience and region.

Qualifications

• 0-2 years as a Machine Learning Engineer or a PhD in Computer Science.
• Experience with machine learning coursework.
• Bonus: Contributor to ML benchmarks.

Responsibilities

• Draft detailed plans and code implementations for machine learning tasks.
• Convert ML problems into agent-executable tasks for reinforcement learning.
• Identify failure modes and apply solutions to ML tasks.

Skills

Python

ML libraries

Data preparation

Model training

Education

PhD in Computer Science or relevant experience

Tools

XGBoost

TensorFlow

scikit-learn

Job description

This range is provided by YO HR Consultancy. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100.00/hr - $120.00/hr

We’re building the talent engine that helps leading labs and research orgs move AI forward. Our latest initiative focuses on benchmarking and improving model performance and training speed across real ML workloads. If you’re an early‑career Machine Learning Engineer or an ML PhD who cares about innovation and impact, we’d love to meet you.

What to Expect

As a Machine Learning Engineer, you’ll tackle diverse problems that explore ML from unconventional angles. This is a remote, asynchronous, part‑time role designed for people who thrive on clear structure and measurable outcomes.

• Schedule: Remote and asynchronous — set your own hours
• Commitment: ~20 hours/week
• Duration: Through December 22nd, with potential extension into 2026

What You’ll Do

• Draft detailed natural‑language plans and code implementations for machine learning tasks
• Convert novel machine learning problems into agent‑executable tasks for reinforcement learning environments
• Identify failure modes and apply golden patches to LLM‑generated trajectories for machine learning tasks

What You’ll Bring

• Experience: 0–2 years as a Machine Learning Engineer or a PhD in Computer Science (Machine Learning coursework required)
• Required Skills: Python, ML libraries (XGBoost, TensorFlow, scikit‑learn, etc.), data prep, model training, etc.
• Bonus: Contributor to ML benchmarks
• Location: Must be based in the United States

Compensation & Terms

• Rate: $80-$120/hr, depending on region and experience
• Payments: Weekly via Stripe Connect
• Engagement: Independent contractor

How to Apply

1. Submit your resume.
2. Complete the System Design Session.
3. Fill out the Machine Learning Engineer screening.