🤖 Senior ML Engineer Jobs at micro1 – Remote Worldwide | $60–$120/Hour Remote Openings 100
🤖 Senior ML Engineer Jobs at micro1 – Remote Worldwide | $60–$120/Hour
Looking for international remote AI jobs? micro1 is recruiting experienced Machine Learning Engineers for an AI training project. This opportunity is suitable for professionals with advanced academic qualifications, strong machine learning experience, and practical Python programming skills.
The position offers flexible working hours and the opportunity to contribute to machine learning model development, AI systems, and performance optimization.
📌 Job Details
- 🏢 Company: micro1
- 💼 Job Title: Senior ML Engineer (MSc. or PhD)
- 🌍 Location: Global – Fully Remote
- 💰 Advertised Pay: $60–$120 per hour
- ⏰ Workload: Approximately 15 hours per week
- 📄 Employment Type: Contractor
- 📢 Openings: 100 listed
- 🗓️ Schedule: Flexible, including weekends
- 🧠 Required Skill: Machine Learning
- 🐍 Programming Language: Python
📝 Job Description
micro1 is looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and inference systems, numerical computing, performance optimization, and Python programming.
In this role, candidates will create, solve, review, and validate challenging machine learning engineering tasks. The work may involve implementing or modifying machine learning models, building reproducible workflows, debugging technical issues, and improving system performance.
This is a coding-intensive technical position requiring practical experience with Python and coding agents.
💼 Key Responsibilities
Selected candidates may be responsible for the following tasks:
- 🤖 Develop and validate machine learning models.
- ⚙️ Build training pipelines and inference systems.
- 💻 Implement model components and data processing pipelines.
- 📊 Develop evaluation systems and numerical methods.
- 🐍 Create reproducible workflows using Python and command-line tools.
- 🔍 Debug programming, numerical, and system-level failures.
- 🚀 Optimize memory usage, processing speed, and model performance.
- ✅ Review and validate implementations against correctness and performance requirements.
- 🛠️ Complete complex engineering tasks according to project specifications.
🎓 Required Qualifications
Applicants should meet the following requirements:
1. Educational Background
A master's degree or PhD in one of these fields:
- Computer Science
- Machine Learning
- Artificial Intelligence
- Applied Mathematics
- Statistics
- Engineering
- A closely related quantitative discipline
2. Technical Skills
- Strong professional or research experience in machine learning.
- Practical proficiency in Python programming.
- Experience using coding agents as part of a coding workflow.
- Ability to solve complex engineering problems and validate technical solutions.
3. Preferred Experience
Experience at a recognized technology company, AI laboratory, research organization, or engineering environment is preferred. Exceptional academic or open-source experience may also qualify.
⚠️ Please note: This is not an entry-level position. Applicants should have advanced technical knowledge and relevant machine learning experience.
💰 Salary and Compensation
The advertised compensation is $60–$120 per hour.
However, the payment structure is output-based. Experts are paid for tasks that meet the project's specifications, and the time required to complete each task may vary.
- 💵 Advertised rate: $60–$120/hour
- ⏳ Expected workload: Approximately 15 hours per week
- 📅 Flexible working schedule
- 📋 Minimum submission requirements apply
The advertised rate does not guarantee a fixed hourly salary or a specific weekly income. Actual earnings depend on completed and accepted tasks and the applicable payment terms.
🌍 Work Location and Schedule
This is a fully remote opportunity advertised for candidates globally.
- Work remotely rather than attending a physical office.
- Choose flexible working hours and days, including weekends.
- Be prepared to begin work soon after onboarding if selected.
Applicants should confirm their eligibility, contracting arrangements, and payment options during the recruitment process.
🧑💻 Application and Hiring Process
The recruitment process includes three main stages:
Step 1: Submit Your Application
Complete the application form and answer the screening questions.
Step 2: Complete the AI Interview
Candidates must complete an AI interview lasting approximately 30 minutes.
Step 3: Hiring Manager Review
Qualified candidates proceed to the hiring manager review for further evaluation.
⏰ Expected Start Timeline
According to the listing, roles are typically filled within 48 hours. Selected candidates are expected to start their first task within 24–48 hours after completing onboarding.
These are the stated timelines, not a guarantee of selection or hiring.
✅ Who Should Apply?
This opportunity may be suitable for:
- Experienced Machine Learning Engineers.
- AI Engineers with strong machine learning knowledge.
- Python developers with substantial machine learning experience.
- Researchers with relevant postgraduate qualifications.
- Technical professionals experienced in coding agents and model optimization.
Candidates without the required postgraduate qualification or practical machine learning expertise may not meet the stated criteria.
Apply Now