Machine Learning Engineer
Keystone Recruitment
Job Overview
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Job Description
Machine Learning Engineer at Keystone Recruitment
Keystone Recruitment is seeking talented Machine Learning Engineers and Researchers for one of their leading AI research lab clients. This fully remote, project-based opportunity involves supporting the evaluation of advanced AI systems. You will be responsible for translating practical ML research and engineering workflows into structured evaluation suites to measure AI performance on real-world tasks. This role is ideal 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
This engagement is as an independent contractor, fully remote with flexible scheduling. Project durations may vary based on needs and performance. The 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. Please note that H1-B or STEM OPT candidates cannot be supported at this time.
Key skills/competency
- Machine Learning Engineering
- AI System Evaluation
- ML Research
- Model Development
- Experimentation
- Debugging
- Optimization
- Technical Writing
- System Design
- Data Science
How to Get Hired at Keystone Recruitment
- Research Keystone Recruitment's client: Understand the leading AI research lab's mission, recent projects, and impact in AI.
- Tailor your resume: Highlight your 3+ years in ML engineering, research, model evaluation, and system design for AI projects.
- Showcase your portfolio: Provide clear examples of evaluation suites, model experimentation, and technical problem-solving.
- Prepare for technical discussions: Be ready to discuss ML system design tradeoffs and complex AI evaluation methodologies.
- Emphasize remote collaboration skills: Demonstrate strong written communication crucial for distributed team environments.
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