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Junior Machine Learning Engineer

micro1

LocationFully remote; country eligibility must be checked on the official posting.
SeniorityJunior
Companymicro1
Verified recentlyChecked today
Compensation

$125k-$250k

Salary details are shown when available from the source listing. Sign in before applying so the role can be reviewed against your resume, salary goals, seniority, timezone, and location eligibility.

Requirements and working style

Decision details from the source listing

Education

Bachelor’s degree in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline

Schedule

flexible

These fields are normalized from the employer's text. Confirm details on the employer site before applying.

WFH.team analysis

What this posting tells you

Fully remote contract role, approximately 15 hours per week, with flexible scheduling. The listing states pay of $60–$120 per hour, but compensation is output-based and experts are paid per qualifying task, with task duration varying; no annual salary is stated. Country eligibility must be verified on the official posting. Requires a relevant bachelor’s degree and strong machine-learning experience, but gives no specific years-of-experience requirement.

Role lane

Backend, Customer success, Data, DevOps, Medical billing, Operations, Product

Where you can work

Eligible countries are not stated.

Working hours

Global

Arrangement

Junior · Contractor

Required signals
Machine learningPythonCoding agents
Preferred signals
Command-line toolsModel developmentTraining pipelinesInference systemsNumerical computingPerformance optimization
Confirm before applying
  • Eligible hiring countries are not stated
Market context

Backend hiring on WFH.team

4,995active related roles
1,130new in the latest period
205jobs per 100 candidates
$180kmedian of comparable listed ranges

This role's listed pay is near the median among 200 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.

Explore the remote job market
Skills and signals
Machine learningPythonCoding agentsCommand-line toolsModel developmentTraining pipelinesInference systemsNumerical computingPerformance optimizationFully remote; country eligibility must be checked on the official posting.
Job description

Junior Machine Learning Engineer at micro1

Junior Machine Learning Engineer

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.

What 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.

Required qualifications

A BS 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.

Process

Apply to the role and complete the screening questions.

Complete an AI interview of approximately 30 minutes.

Complete the hiring manager review.

Compensation 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.

Minimum submission requirements apply.

Start 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.

Company context

Working remotely at micro1

micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.

Headquarters
San Francisco Bay Area, California, United States
Founded
2022
Remote policy

Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.

Application process

Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.

Research micro1