2

Remote Junior Machine Learning Intern Jobs (NOW HIRING)

... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions ... We support remote applicants from all over the US but candidates who can come to the office 2-3 ...

General information Requisition # R67616 Locations USA-Remote Work Posting Date 05/19/2026 Security ... The Machine Learning Engineer will leverage their strong technical background and knowledge to ...

Position Summary Our client is seeking a Jr. AI Engineer/Jr. Machine Learning Engineer to support the development, testing, and improvement of AI-powered features across their data intelligence ...

Sr Machine Learning Engineer

Thousand Oaks, CA · On-site +1

$158K - $200K/yr

... junior machine learning engineers and data scientists in a formal or matrixed fashion. May ... Flexible work models, including remote and hybrid work arrangements, where possible Apply now and ...

This is a fully remote position, allowing you to work from home or location of record within the U ... Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering ...

Data Science & Machine Learning Engineer

$117K - $140K/yr

Remote, USA (Client Location ZIP: 01730) Duration: 6 Months Contract to Hire We are seeking an ... Ability to mentor junior engineers and contribute to technical design decisions. Preferred ...

The Role We are looking for a Machine Learning Engineer to join our Artificial Intelligence and ... Fully Remote Optional * Health, Vision, Dental, and Life Insurance for you and any dependents, with ...

A Machine Learning Engineer helps our learners discover content that is relevant to their interests ... This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX ...

next page

Showing results 1-20

Remote Junior Machine Learning Intern information

See salary details

$25.5K

$42.6K

$88K

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

As of Jun 19, 2026, the average yearly pay for remote junior machine learning intern in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by Remote Junior Machine Learning Interns when collaborating with distributed teams?

As a Remote Junior Machine Learning Intern, one common challenge is maintaining clear communication with team members across different time zones. It's important to be proactive in scheduling meetings, providing timely updates, and asking questions through collaboration tools like Slack or Microsoft Teams. Additionally, interns may need to manage their time effectively to balance independent learning with project deadlines. Adapting to remote code reviews and feedback loops can also take practice, but these experiences are valuable for building strong collaboration skills in a distributed environment.

What is the difference between Remote Junior Machine Learning Intern vs Remote Data Science Intern?

AspectRemote Junior Machine Learning InternRemote Data Science Intern
Required CredentialsBasic programming skills, coursework in ML or AIStatistics, programming, data analysis coursework
Work EnvironmentCollaborative teams, online platforms, internship programsData analysis projects, research teams, remote settings
Industry UsageTech companies, startups, research labsBusiness analytics, tech, finance, healthcare
Search & Comparison IntentUnderstanding entry-level ML roles, internshipsExploring data analysis internship opportunities

The Remote Junior Machine Learning Intern typically focuses on developing machine learning models and algorithms, requiring basic programming and ML coursework. In contrast, the Remote Data Science Intern emphasizes data analysis, statistical skills, and interpreting data insights. Both roles are remote, often found in tech and research industries, but they serve different functions within data-driven projects.

What are Remote Junior Machine Learning Interns?

Remote Junior Machine Learning Interns are entry-level professionals who work remotely to assist with machine learning projects. They typically support data preprocessing, model development, and basic data analysis under the guidance of senior team members. These interns gain hands-on experience with tools like Python, TensorFlow, or PyTorch while learning about real-world applications of machine learning. The remote aspect allows them to collaborate with teams from anywhere, making it a flexible option for students or recent graduates interested in artificial intelligence and data science.

What are the key skills and qualifications needed to thrive as a Remote Junior Machine Learning Intern, and why are they important?

To thrive as a Remote Junior Machine Learning Intern, you need a solid grasp of programming (especially Python), foundational knowledge of machine learning concepts, and relevant coursework or a degree in computer science, mathematics, or a related field. Familiarity with tools and libraries such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong problem-solving skills, self-motivation, and effective written communication are crucial for collaborating remotely and learning independently. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly to new challenges, and grow within distributed teams.
Infographic showing various Remote Junior Machine Learning Intern job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 100% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning (ML) Engineer

Machine Learning (ML) Engineer

Vectara

Remote

Full-time

Medical, Dental, Vision, PTO

Posted 19 days ago


Job description

Vectara provides a scalable platform to deploy your Enterprise AI Agents and AI Assistants with Accuracy, Security, and Explainability like no other solution. Our enterprise RAG Platform offers unparalleled Accuracy, Security, and Explainability by leveraging the strongest models for retrieval, embedding, reranking, a optimized LLM trained for quality, and advanced Hallucination Mitigation. We are the developers of the Hughes Hallucination Evaluation Model and Correction model, core to ensuring accuracy, quality, and responsible AI that is production ready. These innovations have been cited in the New York Times, Visual Capitalist, and many other leading publications. This platform has allowed us to be very successful with over 100 Enterprise clients including the likes of large US military organizations, Financial services, Healthcare, and Manufacturing.
Our founding team includes industry veterans and experts in neural information retrieval and distributed systems from Google. Join us as we pursue our mission to help the world find meaning. People at Vectara are passionate about ensuring customers take advantage of breakthroughs in applied Artificial Intelligence (AI) to solve real-world technology and business problems today. Our team is a group of unquestionable all-stars in their respective fields of computer science and business from Google, Cloudera, Splunk, MongoDB, Elastic, and more.
Job responsibilities
  • Design, prototype, research and build AI systems for Vectara.
  • Train, evaluate and deploy ML models in the domains of Natural Language Processing, Information Retrieval, AI Agents, Large Language Models (LLMs) and Multimodal Large Language Model (MMLLMs).
  • Improve the quality of Vectara's AI Agents and RAG-as-a-service platform, working on features like multilinguality, self-supervised learning, agentic behavior and hallucination reduction.
  • Publish technical blogs, papers, and patents.

Requirements:
  • BS/MS in Computer Science, Statistics, Electrical/Computer Engineering, Mathematics, or a related field.
  • 5+/4+ years of professional work experience after BS/MS applying machine learning to real-world problems, and crafting scalable and effective ML/AI solutions.
  • Strong domain knowledge in at least one of the following: RAG, LLM, information retrieval, Multimodal LLMs.
  • Excellent programming skills in Python. Proficiency in data/ML libraries such as pandas, transformers, and torch.
  • Familiarity with the technical details of deep learning concepts, such as Transformers, Retrieval-Augmented Generation (RAG), mixture of experts (MoE).
  • Hands-on experience in training ML systems end-to-end from data curation to evaluation and deployment.

Preferred requirements:
  • PhD in Computer Science/Engineering with 1+ years of industry experience.
  • Publications in prestigious venues such as ACL, NAACL, EMNLP, NeurIPS, ICML, ICLR as a key author.
  • Experience as an ML engineer in an early-stage, high growth environment.
  • Expertise in the following areas:
    • Embedding models, rerankers
    • Multimodal retrieval, question answering, and reasoning
    • Vector databases, BM25
    • Planning and reasoning in LLMs
    • Multilinguality in LLMs
    • NLG Evaluation such as hallucination detection

Location requirements: We support remote applicants from all over the US but candidates who can come to the office 2-3 days a week in our Palo Alto office are preferred.
Equity and Salary Range:
Salary is just one component of Vectara's employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn't highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business.
Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives. We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture-we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning.
Perks and Benefits:
100% paid Medical, Dental, Vision begins on your first day! Option of Health Savings Account (HSA) or Flexible Savings Account (FSA). Generous paid time off (PTO) plus paid sick time, holidays, and company rest days. Professional development and training opportunities. Company virtual happy hours and fun team building activities and more.