Machine Learning Engineer
Taskify AI
Job Overview
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Job Description
Machine Learning Engineer at Taskify AI
Taskify AI 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.
About the Role
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 Development
- AI System Evaluation
- Benchmark Design
- ML System Design
- Optimization Tradeoffs
- Experimentation
- Technical Reasoning
- Written Communication
How to Get Hired at Taskify AI
- Research Taskify AI's mission: Understand their AI focus and project-based approach for the Machine Learning Engineer role.
- Tailor your resume: Highlight ML evaluation, system design, and applied research experience for Taskify AI.
- Showcase project work: Emphasize contributions to ML benchmarks and model assessment in your portfolio.
- Prepare for technical reasoning: Expect questions on ML system tradeoffs, optimization, and experimentation.
- Demonstrate communication: Practice articulating complex ML concepts clearly and precisely during interviews.
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