10 days ago
Machine Learning Engineer
Keystone Recruitment
Hybrid
Contractor
$228,800
Hybrid
Job Overview
Job TitleMachine Learning Engineer
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$228,800
LocationHybrid
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Job Description
Machine Learning Engineer
One of our clients is hiring a Machine Learning Engineer to support the evaluation of advanced machine learning systems for a leading AI research initiative. This project-based 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
- AI Systems Evaluation
- Model Development
- Experimentation Design
- Optimization Techniques
- Debugging ML Models
- System Design
- Technical Writing
- Benchmark Creation
- Applied ML Research
How to Get Hired at Keystone Recruitment
- Research Keystone Recruitment's specializations: Understand their focus on connecting talent with leading AI research initiatives and their client's specific evaluation needs.
- Tailor your resume for ML engineering: Highlight experience in advanced machine learning systems, model evaluation, and developing structured benchmarks with specific project examples.
- Showcase your technical reasoning: Prepare to discuss complex ML system design choices, tradeoffs, and performance implications with precise technical detail.
- Practice ML technical interview questions: Focus on scenario-based questions related to model training, debugging, optimization, and experimentation workflows.
- Emphasize remote collaboration and communication: Since this is a remote, asynchronous role, demonstrate your ability to work independently and produce clear, precise written assessments.
Frequently Asked Questions
Find answers to common questions about this job opportunity
01What is the primary focus of the Machine Learning Engineer role at Keystone Recruitment's client?
02What kind of ML tasks will the Machine Learning Engineer evaluate?
03Is prior experience in ML research required for this Machine Learning Engineer position?
04What is the work arrangement for this Machine Learning Engineer contract?
05What technical skills are essential for excelling as a Machine Learning Engineer with Keystone Recruitment's client?
06How will compensation be handled for this hourly contract Machine Learning Engineer role?
07Will the Machine Learning Engineer have access to confidential client data?
08What type of individual thrives in the Machine Learning Engineer position at Keystone Recruitment's client?
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