Machine Learning Engineer
Taskify AI
Job Overview
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Job Description
Machine Learning Engineer
One of Taskify AI's clients is seeking an experienced Machine Learning Engineer to support the evaluation of advanced machine learning systems for a leading AI research initiative. This project-based, remote role focuses on transforming real-world ML engineering workflows into structured evaluation benchmarks for frontier AI models.
This position is ideal for experienced ML engineers or applied researchers who enjoy deep technical reasoning, experimentation, and system-level thinking. You will contribute directly to how cutting-edge AI systems are evaluated on practical machine learning engineering tasks.
Key Responsibilities
- Design and write detailed evaluation suites for real-world machine learning engineering tasks.
- Translate applied ML research and engineering workflows into structured benchmarks.
- Evaluate AI-generated solutions related to model training, debugging, optimization, and experimentation.
- Reason about ML system design choices, tradeoffs, and performance implications.
- Produce clear, technically precise written assessments.
Ideal Qualifications
- 3+ years of experience in machine learning engineering or applied ML research.
- Hands-on experience with model development, experimentation, and evaluation.
- Background in ML research within an industry lab or academic setting (strongly preferred).
- Strong understanding of ML system design and optimization tradeoffs.
- Excellent written communication skills and high attention to technical detail.
More About the Opportunity
- Fully remote, asynchronous work completed on your own schedule.
- Project-based engagement with potential extensions based on performance and project needs.
- Weekly payments via Stripe or Wise.
- Independent contractor classification.
- No access to confidential or proprietary employer or client data.
Key skills/competency
- Machine Learning Engineering
- Applied ML Research
- Model Evaluation
- ML System Design
- AI Benchmarking
- Optimization Tradeoffs
- Experimentation
- Technical Writing
- Python Programming
- Deep Learning Frameworks
How to Get Hired at Taskify AI
- Research Taskify AI's mission: Study their focus on AI research and evaluation, understanding how your skills align with their innovative projects.
- Tailor your Machine Learning Engineer resume: Highlight your 3+ years of experience in ML engineering or applied research, emphasizing model development, evaluation, and system design.
- Showcase project-based ML experience: Provide specific examples of designing evaluation suites or translating complex ML workflows into structured benchmarks.
- Prepare for deep technical reasoning: Be ready to discuss ML system design choices, optimization tradeoffs, and your problem-solving approach in detail.
- Demonstrate strong communication: Emphasize your ability to produce clear, technically precise written assessments, a key requirement for this remote role.
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