ML Engineer (MSc. or PhD)
micro1 has an opening for a ML Engineer (MSc. or PhD) as a remote role. It is listed as a contract position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
micro1 has an opening for a ML Engineer (MSc. or PhD) as a remote role. It is listed as a contract position.
Skills and tools named in the text include Python, machine learning, statistics and research.
The listing gives the pay as $60-$120/hour.
Dev Global Jobs found this job on Himalayas on Nov 10, 2026; applications close on Dec 15, 2026.
- Employer
- micro1
- Location
- Remote
- Job type
- Contract
- Pay
- $60-$120/hour
- Found
- Nov 10, 2026 on Himalayas
- Closes
- Dec 15, 2026
- Employer text
- 344 words, about 2 min to read
- Apply only on the official page (himalayas.app). Dev Global Jobs is not the employer and never asks for a fee.
- Mirror the skills the advert names (Python, machine learning, statistics and research) in your CV where you really have them; applicant tracking systems look for these words.
- Plan to apply before Dec 15, 2026.
- Read the employer’s full text below (about 2 min) before you apply.
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About the role
Full text from the employer, as published on Himalayas, arranged into sections. Nothing added or removed.
Senior ML Engineer (MSc. or PhD)
Pay: $60-$120/hour
Location: Global, fully remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible-you choose the hours and days you work, including weekends if desired
We are 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.
The work involves creating, solving, reviewing, and validating challenging machine-learning engineering tasks. A representative task may require implementing or modifying a model, constructing a reproducible training or inference workflow, optimizing memory or throughput, debugging numerical or system-level failures, and verifying that the resulting implementation satisfies objective correctness and performance requirements.
This is a very coding heavy role. Candidates but have experience using coding agents with python in their workflow.
01What You’ll Work On
- Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure.
- Implement model components, data pipelines, evaluation systems, and numerical methods.
- Build reproducible programmatic workflows using Python and command-line tools.
02Required Qualifications
- 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 with Python and coding agents.
Equivalent tools may also be considered when the candidate demonstrates directly relevant depth.
Experience at a well-established technology company, AI laboratory, research organization, or other recognized engineering environment is strongly preferred. Exceptional open-source or academic experience may also qualify.
03Process
- Apply to the role and complete the screening questions.
- Complete an AI interview of approximately 30 minutes.
- Complete the hiring manager review.
04Compensation Structure
Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.
05Start Timeline & Availability
- We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24-48 hours of completing onboarding.
Originally posted on Himalayas
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