Part-Time Machine Learning Engineer
Hackajob
Job Overview
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Job Description
About Mercor and the Role
hackajob is partnering with Mercor to find exceptional tech professionals for the Part-Time Machine Learning Engineer role. Mercor is building a talent engine that empowers leading labs and research organizations to advance AI. This initiative focuses on benchmarking and improving model performance and training speed across real ML workloads.
If you are an early-career Machine Learning Engineer or an ML PhD with a passion for innovation and impact, Mercor invites you to explore this opportunity.
What to Expect as a Part-Time Machine Learning Engineer
As a Part-Time Machine Learning Engineer, you will engage with diverse and unconventional ML problems. This is a remote, asynchronous, part-time position, ideal for individuals who excel with clear structure and measurable outcomes.
- Schedule: Remote and asynchronous – set your own hours
- Commitment: Approximately 20 hours per week
- Duration: Through December 22nd, with potential for 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: Proficiency in Python, ML libraries (XGBoost, Tensorflow, scikit-learn, etc.), data preparation, and model training.
- Bonus: Prior contribution to ML benchmarks.
- Location: Must be based in the United States.
Compensation & Terms
- Rate: $80-$120 per hour, depending on region and experience.
- Payments: Weekly via Stripe Connect.
- Engagement: Independent contractor.
Key skills/competency
- Machine Learning
- AI Model Training
- Python
- XGBoost
- Tensorflow
- Scikit-learn
- Data Preparation
- Reinforcement Learning
- LLM Trajectories
- Benchmarking
How to Get Hired at Hackajob
- Research Mercor's mission: Study their vision for talent in AI, their investor backing, and how they connect experts with frontier projects.
- Tailor your resume: Highlight Python, ML libraries (Tensorflow, XGBoost), data prep, and model training experience relevant to AI model performance.
- Showcase ML projects: Prepare to discuss specific examples of machine learning tasks, reinforcement learning, or LLM trajectory analysis you've worked on.
- Master the System Design Session: Understand core ML system design principles and be ready to articulate your approach to complex AI problems.
- Emphasize impact and innovation: During interviews, demonstrate your commitment to moving AI forward and your ability to solve problems unconventionally.
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