This is a Machine Learning Engineer (Coding Agent Experience) role with Mercor based in Sydney, NSW, Australia
== Mercor ==

Role Seniority - junior, mid level, senior

More about the Machine Learning Engineer (Coding Agent Experience) role at Mercor

About the Role

- Mercor is partnering with a leading AI research lab to support a Frontier Code Agents project.

- Contributors help evaluate and improve frontier AI coding models through structured technical assessments.

- The work focuses on realistic machine learning engineering workflows and model evaluation.

- Spots are limited and filling quickly on a first come, first serve basis.

What You'll Do

- Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks.

- Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications.

- Identify bugs, edge cases, performance issues, and failure modes.

- Compare outputs from multiple frontier models and assess their strengths and weaknesses.

- Apply professional engineering judgment to realistic ML engineering scenarios.

Time Commitment

- Sprint based project that runs in 12-24 hour stretches based on client requirement.

Compensation

- $400 per accepted task.

- Typical tasks take approximately 2–3 hours after ramp-up.

- Compensation is tied to accepted work.

Who Should Apply

- 2+ years of qualified machine learning engineering experience.

- Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products.

- Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.





- Ability to evaluate model-generated machine learning implementations and technical tradeoffs.

- Experience deploying ML systems to production is preferred.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

- You will be engaged as an independent contractor.

- This is a fully remote role that can be completed on your own schedule.

- Projects can be extended, shortened, or concluded early depending on needs and performance.

- Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.

- Payments are weekly on Stripe or Wise based on services rendered.

- Please note: We are unable to support H1-B or STEM OPT candidates at this time.

Before we jump into the responsibilities of the role. No matter what you come in knowing, you’ll be learning new things all the time and the Mercor team will be there to support your growth.

Please consider applying even if you don't meet 100% of what’s outlined

Key Responsibilities

- Completing and evaluating tasks
- Reviewing model implementations
- ⚠️ Identifying issues

Key Strengths

- Machine learning engineering experience
- ️ Production ML systems experience
- ️ AI coding agents proficiency
- Model evaluation
- Production deployment experience
- ⚖️ Technical tradeoffs understanding

Why Mercor is partnering with Hatch on this role. Hatch exists to level the playing field for people as they discover a career that’s right for them. So when you apply you have the chance to show more than just your resume.

A Final Note: This is a role with Mercor not with Hatch.

📌 Machine Learning Engineer (Coding Agent Experience) (Sydney)
🏢 Mercor
📍 Sydney