Remote Jobs

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ML/LLM Ops Intern

Rackspace

Location
Mexico
Posted

ML Ops / LLM Ops Intern: Deploy and maintain machine learning models, optimize performance, and ensure smooth AI operations.

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Senior Computer Vision Engineer (LLM)

Binance

Location
Taiwan, Republic of China
Posted

Senior Computer Vision Engineer with expertise in computer vision technologies and LLMs required for leading blockchain ecosystem

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AI/ML Product Manager

Welocalize

Location
Argentina
Posted

Product Manager for AIML Engineering organization, coordinating efforts between globally distributed teams, defining product requirements, and managing the product backlog.

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Senior ML Engineer, Product

Rocket Money

Location
United States of America
Posted

Machine Learning Engineer at Rocket Money, developing reusable ML pipelines and systems for personalized product experiences and accurate customer segmentation.

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Research Scientist - LLM Foundation Models

Binance

Location
Singapore
Posted

Research Scientist - LLM Foundation Models at Binance: Enhance reasoning & planning, synthesize large-scale data, & implement robust evaluation methodologies.

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Mobile Engineering Intern - Summer 2025

Mercury

Location
Canada
Posted

Mobile Engineering Internship at Mercury - $55/hour, flexible remote work options, and opportunities to shape your role around your strengths.

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ML Engineer - AI Platform

Figma

Location
United States of America
Posted
Salary Range
149k - 350k USD

Enhance Figma's AI capabilities by building data pipelines, collaborating with researchers, improving datasets, and exploring innovative solutions in a dynamic environment.

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Junior Crypto Analyst Intern

SwissBorg

Location
Estonia
Posted

Crypto Analyst Intern at SwissBorg: Contribute to investment strategies & marketing efforts with a focus on crypto market analysis & trend identification.

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Summer 2025 Intern - UX Design

Workiva

Location
United States of America
Posted
Salary Range
28 - 28 USD

User Experience Internship: Design superior user experiences with flexible remote work options, competitive salary range, and opportunities for growth and learning.

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Senior Data Scientist (LLM) - Risk

Binance

Location
Brunei Darussalam
Posted

Senior Data Scientist (LLM Specialization) role at Binance leveraging cutting-edge LLMs for risk management, workflow optimization, and operational efficiency.

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Channel Sales Intern Summer 2025

SuccessKPI Inc.

Location
United States of America
Posted

Join SuccessKPI's Technology Services Distributor team as an intern and gain hands-on experience in technology distribution, partner management, and customer success.

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2025 Summer Intern - Business Analytics

Workiva

Location
United States of America
Posted
Salary Range
83k - 83k USD

Support data analysis and reporting at Workiva as a Business Analytics Intern. Use SQL, R, Python, and cloud solutions to assist in building tools and conducting research.

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Linguistc AI & ML Engineer

Welocalize

Location
United Kingdom
Posted

Design and optimize translation systems using advanced NLP and GenAI techniques

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Impact Research Intern (Spring 2025)

Newsela

Location
United States of America
Posted
Salary Range
73k - 73k USD

Conduct quantitative research on educational effectiveness, analyze data with R and SQL, create visualizations with ggplot2, and contribute to impactful reports at Newsela.

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2025 Summer Intern - Customer Success

Workiva

Location
United States of America
Posted
Salary Range
44k - 44k USD

Support the Customer Success team in creating and implementing customer documents, collaborating with cross-functional teams, applying XBRL tagging, ensuring accuracy, and providing exceptional customer service.

Rackspace logo

ML/LLM Ops Intern

Rackspace

Job Location

Job Summary

We are seeking an ML Ops / LLM Ops Intern to support our AI product development team. This role offers hands-on experience in deploying and maintaining machine learning models, optimizing model performance, and ensuring smooth AI operations. You'll work with the latest cloud-based ML tools, automation pipelines, and model serving frameworks. Experience with large language models (LLMs) and integrating applications with AI agents is highly desirable. As a member of our team, you will collaborate on deploying and monitoring machine learning models in production environments, developing and maintaining CI/CD pipelines for ML model training and inference, optimizing infrastructure and model performance for scalability and efficiency. You'll also work with cloud services (AWS, GCP, or Azure) to manage ML workflows and troubleshoot and improve model serving, logging, and monitoring systems. Our team values curiosity, ownership, and a drive to improve, and we offer flexible remote work options, $4,000/year travel stipends, and equity in a fast-growing company. If you're passionate about AI and want to gain hands-on experience with real-world AI production systems, apply now.

About the Role
We are looking for an ML Ops / LLM Ops Intern to support our AI product development team. This role offers hands-on experience in deploying and maintaining machine learning models, optimizing model performance, and ensuring smooth AI operations. You’ll work with the latest cloud-based ML tools, automation pipelines, and model serving frameworks, gaining valuable industry experience. Experience with large language models (LLMs) and integrating applications with AI agents is highly desirable.

Key Responsibilities

    • Assist in deploying and monitoring machine learning models in production environments.
    • Develop and maintain CI/CD pipelines for ML model training and inference.
    • Optimize infrastructure and model performance for scalability and efficiency.
    • Work with cloud services (AWS, GCP, or Azure) to manage ML workflows.
    • Troubleshoot and improve model serving, logging, and monitoring systems.
    • Collaborate on integrating applications with AI agents and LLMs.

Qualifications

    • Final-year student or recent graduate in Computer Science, Engineering, or a related field.
    • Basic understanding of ML model deployment, Docker, Kubernetes, and cloud services.
    • Experience with Python, TensorFlow/PyTorch, and MLflow is a plus.
    • Familiarity with automation tools and scripting (Bash, Terraform, etc.).
    • Experience working with LLMs and AI agent integration is preferred.
    • Strong preference for candidates with experience in OpenAI and Azure environments.
    • Full-time availability

Why Join Us?

    • Work on cutting-edge AI deployment and scaling challenges.
    • Gain hands-on experience with real-world AI production systems.
    • Mentorship from experienced AI engineers.
    • Opportunity for a full-time position upon successful completion.
*LI-GP1

"Remote postings are limited to candidates residing within the country specified in the posting location"

About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
 
 
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.