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Remote Junior Ml Jobs (NOW HIRING)

FocusKPI Inc.

Junior AI/ML Engineer (Remote)

Boston, MA · Remote

Remote (EST preferred) Type: Paid Internship or Contract (Full-time) Start Date: Immediate Role Overview We are seeking a Junior AI/ML Engineer to support the development of an enterprise AI chatbot ...

Third-Party Job Posts

Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer , you ... Leadership: Demonstrated ability to influence cross-functional teams, mentor junior talent, and ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Lead

Ashburn, VA · On-site +1

$104K - $138K/yr

Remote Work: Hybrid Job Number: R0246710 Location: Ashburn,VA,US Share job via: Share AI/ML ... Mentor junior engineers and contribute to best practices, coding standards, and technical ...

Attain Talent

Lead AI/ML Engineer

OR · On-site +1

$180K - $230K/yr

... junior team members. * Present technical findings, experiment results, and architectural ... Remote Work (Hybrid roles will be specified in the job post) * Competitive Compensation Package

Attain Talent

Lead AI/ML Engineer

$180K - $230K/yr

... junior team members. * Present technical findings, experiment results, and architectural ... Remote Work (Hybrid roles will be specified in the job post) * Competitive Compensation Package

Technergetics

AI/ML Engineer III

Rome, NY · On-site +1

$125K - $175K/yr

Remote candidates outside a commutable distance to Utica/Rome will still be considered but may need ... Leading, coaching, and mentoring junior data scientists, engineers, and other staff * Contributing ...

Technergetics

AI/ML Engineer III

Utica, NY · On-site +1

$125K - $175K/yr

Remote candidates outside a commutable distance to Utica/Rome will still be considered but may need ... Leading, coaching, and mentoring junior data scientists, engineers, and other staff * Contributing ...

Technergetics

AI/ML Engineer III

Utica, NY · On-site +1

$125K - $175K/yr

Remote candidates outside a commutable distance to Utica/Rome will still be considered but may need ... Leading, coaching, and mentoring junior data scientists, engineers, and other staff * Contributing ...

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Remote Junior Ml information

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How much do remote junior ml jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote junior ml in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What does a remote junior ML engineer do?

A Remote Junior ML (Machine Learning) Engineer assists in designing, developing, and implementing machine learning models and algorithms, usually under the guidance of more experienced engineers. They typically handle data preprocessing, basic model training, and evaluation tasks, and contribute to software projects that use machine learning techniques. Working remotely, they use collaboration tools to communicate with their team and may also help with documentation and debugging. A Junior ML Engineer is often early in their career and focuses on building foundational skills and gaining experience.

What are the key skills and qualifications needed to thrive as a remote junior ML engineer?

To thrive as a Remote Junior ML Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with ML libraries (such as TensorFlow or scikit-learn), version control tools like Git, and cloud platforms (e.g., AWS or Google Cloud) is typically expected. Strong problem-solving, self-motivation, and effective online communication are crucial soft skills for remote collaboration and learning. These skills and qualities are essential for independently contributing to projects, adapting to evolving technologies, and thriving in a distributed team environment.

What are some common challenges faced by remote junior ML engineers, and how can they be overcome?

Remote Junior Machine Learning Engineers often face challenges such as limited access to immediate mentorship, staying aligned with fast-changing project goals, and managing effective communication across distributed teams. To overcome these, it's helpful to proactively schedule regular check-ins with senior team members, document progress thoroughly, and participate in online forums or company Slack channels for support. Additionally, setting up a dedicated workspace and using collaborative tools like GitHub and Jupyter notebooks can streamline workflow and foster stronger collaboration.

What is the difference between Remote Junior Ml vs Remote Data Analyst?

AspectRemote Junior MlRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; basic understanding of ML conceptsBachelor's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentCollaborative teams, cloud platforms, coding in Python or RData reporting, visualization, database management, often in Excel or SQL
Industry UsageTech, finance, healthcare, startupsBusiness intelligence, marketing, finance, consulting

Remote Junior ML roles focus on developing machine learning models and algorithms, requiring programming and basic ML knowledge. Remote Data Analysts interpret data, create reports, and visualize insights. While both roles involve data handling, ML positions emphasize model building, whereas Data Analysts focus on data interpretation and reporting.

Infographic showing various Remote Junior Ml job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 95% Full Time, 1% Part Time, and 3% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.

Junior AI/ML Engineer (Remote)

Boston, MA • Remote

FocusKPI Inc.
Computing Infrastructure Providers, Data Processing, Web Hosting • 51 - 200 employees
Learn more about FocusKPI Inc.external

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Location: Remote (EST preferred)
Type: Paid Internship or Contract (Full-time)
Start Date: Immediate

Role Overview

We are seeking a Junior AI/ML Engineer to support the development of an enterprise AI chatbot and data intelligence system. This role will focus on building interactive AI agents that connect to enterprise databases, generate insights, and support decision-making.

The position includes hands-on work in both LLM-based chatbot/agent development and machine learning, including building prediction models and integrating them into production workflows. This is a client-facing technical role requiring strong coding ability, analytical thinking, and the ability to work in a fast-paced environment.

Key Responsibilities
  • Develop and deploy AI chatbot/agent solutions for enterprise use cases
  • Integrate LLM-based agents with structured and unstructured enterprise data
  • Connect chat interfaces to SQL/enterprise databases and internal APIs
  • Build and integrate machine learning models (prediction, classification, clustering, etc.)
  • Perform data preprocessing, feature engineering, and model evaluation
  • Integrate ML outputs into chatbot or workflow interfaces
  • Support data pipeline development and automation
  • Collaborate with internal team and occasionally clients to understand requirements
  • Document model logic, workflows, and implementation details
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or related quantitative field
  • Strong Python programming skills
  • Hands-on experience with machine learning (regression, classification, clustering, or similar)
  • Familiarity with ML libraries such as scikit-learn, pandas, numpy, or similar
  • Experience working with databases (SQL, PostgreSQL, or similar)
  • Familiarity with LLM APIs (OpenAI, Claude, or open-source models)
  • Experience building APIs or backend services (FastAPI, Flask, or similar)
  • Strong analytical and problem-solving skills
  • Ability to work independently and communicate clearly
Preferred Qualifications
  • Graduate degree or currently pursuing MS in AI, Data Science, or related field
  • Experience with agent frameworks (LangChain, LlamaIndex, LangGraph, CrewAI, etc.)
  • Experience deploying or integrating ML models into applications
  • Knowledge of vector databases or embeddings
  • Familiarity with AWS, GCP, or Azure
  • Prior internship or project experience building AI/ML applications
How to Apply

Please submit the following to danz@focuskpi.com:

  1. Resume
  2. GitHub or portfolio that includes at least one agentic or AI chatbot project
  3. A short written explanation (3–6 paragraphs) of one project, including:
    • What problem the agent/chatbot solves
    • Architecture and tools used (LLM, framework, database, etc.)
    • Your specific contribution
    • Challenges encountered and how you solved them

Candidates without project examples or explanation will not be considered.

Immediate start preferred.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010

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