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Remote Machine Learning Jobs in Twin Falls, ID (NOW HIRING)

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Twin Falls, ID

Remote Machine Learning information

See Twin Falls, ID salary details

$23.4K

$39.1K

$80.8K

How much do remote machine learning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote machine learning in Twin Falls, ID is $39,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,800.00 and $42,200.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for data science and AI roles. These positions typically require strong programming skills, experience with tools like Python and TensorFlow, and the ability to collaborate virtually using communication platforms. Remote work in this field is common, especially for roles focused on model development, data analysis, and deployment.
More about Remote Machine Learning jobs
What cities near Twin Falls, ID are hiring for Remote Machine Learning jobs? Cities near Twin Falls, ID with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Twin Falls, ID as of June 2026, with employment types broken down into 68% Full Time, 13% Part Time, and 19% Contract. Highlights an 100% Remote job distribution, with an average salary of $39,091 per year, or $18.8 per hour.

Information Technology Spec 5 - Data Engineer and Data Analyst

Minnstate

Paul, ID • On-site, Remote

$84K - $144K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 19 days ago

Job description

All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated).

Working Title:

Information Technology Spec 5 - Data Engineer and Data Analyst

Institution:

Minnesota State System Office

Classification Title:

Information Technology Spec 5

Bargaining Unit / Union:

214: Minnesota Association of Professional Employees

City:

St. Paul

FLSA:

Job Exempt

Full Time / Part Time:

Full time

Employment Condition:

Classified - Unlimited

Salary Range:

$40.43 - $69.11

Job Description

This position exists to design, build, and support enterprise data integrations and analytics-ready data products that power operational reporting and decision-making across Minnesota State Colleges and Universities. The Data Engineer and Analyst ensures that data needed for analytical and operational use cases is extracted, transformed,validated, and delivered securely, reliably, and cost-effectively using repeatable engineering practices.

Salary Range:

$40.43 - $69.11/hourly ($84,418 - $144,302/annually)

Minimum Qualifications

  • Six (6) years of progressive enterprise experience in dataengineering/softwaredevelopment using multiple technologies, including cloud data platforms and programming languages (e.g., Python, R, Scala) and strong SQLexperience.A bachelor's degree may substitute for one (1) year of experience.Strong programming and SQL skillsensureefficientdata transformationfor enterprise use.

  • Three years ofdemonstratedexperience building and supporting enterprise data pipelines and data productsina modern cloud analytics platform(e.g., Microsoft Fabric and/or Azure Synapse), including orchestration and transformation services (e.g., Azure Data Factory and Dataflow Gen2).Experience with modern cloud platforms ensures scalable, maintainable, and cost-effective solutions aligned with enterprise architecture.

  • Demonstrated experience with enterprise data extraction and replication/CDC approaches(e.g.,CDataSync and OracleGoldenGateor equivalent technologies) and selectingappropriate patternsfor batch, incremental, and near-real-time delivery.

  • Proven experience developing and consuming integrations through APIsandleveragingAPI-based data access patterns.This skillensuresthe candidate can integrate across systems.

  • Three years ofdemonstratedexperiencedesigning, developing, and implementingcreating and supporting BI/analytics artifacts and applying analysistovalidatedata and answer business questions.The ability to translate data into meaningful insights is essential to building trust in enterprise data products.

  • Proficiencyin software testing tools and techniques for data and BI solutions,includingestablishingrobust test strategies for data pipelines, transformations, and published data/BI artifacts.

Preferred Qualification

  • Broad knowledge of Azure products and the Microsoft ecosystem.

  • Higher education experience in a large, multi-campus, distributed higher education system.

  • Understanding ofmachine learning pipelines and AI-driven data processing.

  • Workday reporting experience.

Other Requirements

n/a

Work Shift (Hours / Days of work)

Monday - Friday, 8:00am - 4:30pm

Telework (Yes/No)

Yes

About

Minnesota State is committed to attracting, retaining, and developing talented employees who serve our 270,000 students each year throughout the state. We have a vibrant and diverse system of 33 colleges and universities with 14,567 dedicated faculty and staff focused on student success.


Benefits Information:

At Minnesota State, we take your well-being and work-life balance seriously. We offer a comprehensive benefits package that features low-cost medical and dental insurance with affordable deductibles, employer-paid life insurance, short- and long-term disability, and pre-tax healthcare and dependent care accounts with a roll-over option. To further support your holistic health, employees also have access to a confidential Employee Assistance Program (EAP) for mental health, legal, and financial counseling. Detailed plan details, rates, and coverage choices can be reviewed directly via the State Employee Group Insurance Program (SEGIP) website.

To support your life outside of work, our package includes 12 paid holidays, generous vacation and sick time, and six weeks of Paid Parental Leave. We also help you secure your financial future with a robust Pension Plan, 457(b) and 403(b) retirement accounts, and various investment options. Furthermore, we invest in your growth by providing dedicated professional development and tuition waivers for both you and your dependents. Please note that specific benefit eligibility and coverage levels may vary depending on the type of position, employee classification, and collective bargaining agreements.

Desired Start Date:

09-09-2026

Position End Date:

Open Date:

07-22-2026

Close Date:

08-06-2026

Posting Contact Name:

Shane Moore

Posting Contact Email:

shane.moore@minnstate.edu

Apply