Machine Learning Engineer
Taskify AI
Job Overview
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Job Description
Role Overview
One of our clients, a leading AI research lab, is seeking Machine Learning Engineers and Researchers to support the evaluation of advanced AI systems. This project involves translating practical ML research and engineering workflows into structured evaluation suites that measure AI performance on real-world tasks. This is a project-based, fully remote opportunity for experts with hands-on ML research experience.
Key Responsibilities
- Design and write detailed evaluation suites for machine learning engineering tasks
- Assess AI-generated solutions across areas such as model training, debugging, optimization, and experimentation
- Collaborate with research teams to ensure evaluation frameworks reflect real-world ML engineering workflows
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 (industry lab or academic setting strongly preferred)
- Strong reasoning skills around ML system design choices and tradeoffs
- Clear written communication and high attention to technical detail
Additional Information
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Contract and Payment Terms
- Engagement as an independent contractor
- Fully remote role with flexible scheduling
- Projects may be extended, shortened, or concluded early depending on needs and performance
- Work does not involve access to confidential or proprietary information from any employer, client, or institution
- Payments are weekly via Stripe or Wise based on hours worked
- H1-B or STEM OPT candidates cannot be supported at this time
Key skills/competency
- Machine Learning Engineering
- AI System Evaluation
- Model Development
- Applied ML Research
- Experimentation Design
- Optimization Techniques
- Python Programming
- Data Analysis
- Technical Communication
- ML System Design
How to Get Hired at Taskify AI
- Research Taskify AI's mission: Study their involvement with leading AI research labs and understand their project-based engagement model.
- Tailor your resume: Customize your application to highlight specific experience in ML system evaluation, model development, and applied ML research.
- Showcase practical ML skills: Prepare to demonstrate hands-on expertise in designing evaluation suites and assessing AI performance on real-world tasks.
- Demonstrate strong reasoning: Be ready to discuss ML system design choices, tradeoffs, and optimization strategies during technical interviews.
- Emphasize communication: Highlight instances of clear written communication and meticulous attention to technical detail in your past projects.
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