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Machine Learning Intern Remote Jobs in Bossier City, LA

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Machine Learning Intern Remote information

See Bossier City, LA salary details

$25.3K

$42.2K

$87.2K

How much do machine learning intern remote jobs pay per year?

As of Sep 6, 2026, the average yearly pay for machine learning intern remote in Bossier City, LA is $42,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What does a machine learning intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.

What are the key skills and qualifications needed to thrive as a machine learning intern?

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a machine learning intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What cities near Bossier City, LA are hiring for Machine Learning Intern Remote jobs?

Cities near Bossier City, LA with the most Machine Learning Intern Remote job openings:

Machine Learning Intern Remote jobs near you
Infographic showing various Machine Learning Intern Remote job openings in Bossier City, LA as of August 2026, with employment types broken down into 25% Internship, 26% Full Time, 23% Part Time, and 26% Contract. Highlights an 100% Remote job distribution, with an average salary of $42,209 per year, or $20.3 per hour.

Spring 2027 Intern - Sales Analyst

Workiva

Shreveport, LA • On-site, Remote

$21/hr

Full-time

Retirement

Posted 4 days ago

Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 247 rated software companies

Job description

The Sales Analyst Intern supports various internal teams, including Sales, Finance, Accounting, Legal, Marketing, and Customer Success. You will assist with sales data analysis, contract renewal engagement, revenue retention support, reporting/dashboarding, and data cleaning.

What You'll Do

  • Perform Sales Analytics and Reporting tasks as assigned to support sales team performance management
  • Execute all phases of the subscription renewal lifecycle, including notifying customers of renewal, creating quotes, and closing renewal opportunities
  • Engage with renewal overlays regarding strategic support for revenue retention efforts
  • Promote process improvement for new and existing processes
  • Validate and research sales-related activities to achieve a high level of data integrity
  • Build working relationships across the organization to better integrate Sales Operations with teams supported by and supporting us
  • Support the sales team in data collection and interpretation of data to drive increased sales production

What You'll Need

Minimum Qualifications

  • Actively enrolled in a degree-seeking program in Business or a related field of study

Preferred Qualifications

  • Technically savvy with the ability to demonstrate a high level of competency using Excel, Word, Google Docs, etc
  • Strong communication and leadership skills demonstrated through leadership positions in community, school, or other programs
  • Professional, outgoing, energetic personality with excellent interpersonal skills
  • Ability to work independently and take initiative
  • Attention to detail and follow-through are required
  • Experience using Excel, Word, and Google Docs

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely and not in a Workiva office

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026

Engineering postings close: October 2, 2026

Interviews: Early to mid October

Offers : Late October

2027 Start Dates:

This position has opportunities to start in the Spring and Summer. Please see our start dates below and let us know your availability in your application.

Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)

How You’ll Be Rewarded

Salary range in the US: $21.00 - $21.00 401(k) participation and match

Paid sick leave

A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com .

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

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