🌍 Applied Scientists – Machine Learning (MSc. or PhD) $60–$120 per hour Remote Openings 100
🌍 Applied Scientists – Machine Learning (MSc. or PhD) | Remote Jobs at micro1
Are you an experienced Machine Learning professional with a Master’s degree or PhD? micro1 is offering a global, fully remote contractor opportunity for experts interested in developing, testing, and improving machine-learning systems for AI training projects.
This role is highly technical and coding-intensive, with a focus on Python, machine-learning engineering, model development, and performance optimization.
📌 Job Overview
- 💼 Job Title: Applied Scientist – Machine Learning
- 🏢 Company: micro1
- 🌐 Work Location: Global – Fully Remote
- 📄 Job Type: Contractor
- 💰 Advertised Rate: $60–$120 per hour
- 👥 Openings: 100
- ⏰ Expected Availability: Approximately 15 hours per week
- 📅 Schedule: Flexible working hours
- 🎓 Education: MSc. or PhD
- 🧠 Required Skills: Machine Learning, Python, and Coding Agents
📝 Job Description
micro1 is seeking highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and inference systems, numerical computing, and performance optimization.
Selected candidates will create, solve, review, and validate challenging machine-learning engineering tasks. Work may include implementing or modifying models, building reproducible training workflows, debugging technical issues, and improving memory usage or processing speed.
This is a very coding-heavy role. Candidates must have practical experience using Python and coding agents in their workflow.
🎯 Key Responsibilities
- 🤖 Develop and validate machine-learning models and training pipelines.
- ⚙️ Build and improve inference systems and supporting infrastructure.
- 💻 Implement model components, data pipelines, and evaluation systems.
- 🧮 Apply numerical computing methods to machine-learning problems.
- 🐍 Create reproducible workflows using Python and command-line tools.
- 🔍 Debug numerical, software, and system-level failures.
- 📊 Optimize memory usage, throughput, and model performance.
- ✅ Test implementations against defined correctness and performance requirements.
🛠️ Required Skills
Applicants should have strong expertise in the following areas:
- Machine Learning and AI
- Python Programming
- Coding Agents and AI-assisted coding workflows
- Model Development and Evaluation
- Training and Inference Pipelines
- Numerical Computing
- Debugging and Performance Optimization
- Reproducible Engineering Workflows
🎓 Required Qualifications
Candidates must meet the relevant academic and technical requirements:
- A Master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
- Strong professional or research experience in machine learning.
- Practical proficiency in Python and coding agents.
- Ability to solve complex engineering problems and validate technical results.
Experience at an established technology company, AI laboratory, research organization, or recognized engineering environment is strongly preferred. Exceptional academic or open-source experience may also be considered.
💰 Compensation and Working Hours
- Advertised rate: $60–$120 per hour.
- Workload: Approximately 15 hours per week.
- Schedule: Flexible; candidates can choose their working days and hours, including weekends.
- Payment structure: Output-based compensation.
Important: Payment is based on tasks that meet the project specifications, and minimum submission requirements apply. The advertised hourly rate does not guarantee fixed hourly earnings or a specific weekly income. Actual compensation depends on approved work and project terms.
🚀 Application and Selection Process
According to the supplied job description, the process includes:
1. Apply online: Submit your application and complete the screening questions.
2. AI interview: Complete an interview of approximately 30 minutes.
3. Hiring manager review: Your application and technical suitability will be reviewed.
4. Onboarding and start: Selected candidates should be ready to begin their first task within 24–48 hours after completing onboarding.
The listing indicates that roles are typically filled within 48 hours, so interested and qualified applicants should review the opportunity promptly.
🌟 Why Consider This Opportunity?
- 🌍 Work remotely from eligible locations worldwide.
- 💵 Explore an advertised compensation range of $60–$120 per hour.
- 🧠 Apply advanced machine-learning and engineering expertise.
- 🕒 Work with a flexible schedule.
- 🤖 Contribute to AI training and model improvement projects.
- 📈 Gain experience working on challenging machine-learning tasks.
🔗 How to Apply
Interested candidates can visit the official micro1 website to locate the Applied Scientists – Machine Learning (MSc. or PhD) position and review its current requirements.
Apply Now