2

Junior Machine Learning Remote Jobs (NOW HIRING)

Machine Learning Engineer

$128.80K - $214.50K/yr

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 ...

Machine Learning Engineer

$121.60K - $160K/yr

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 ...

Together with a small machine learning team, you will be responsible to ensure the successful ... Remote-first environment (if that's your thing) * Dedicated collaborative office space in NoVA (if ...

Together with a small machine learning team, you will be responsible to ensure the successful ... Remote-first environment (if that's your thing) * Dedicated collaborative office space in NoVA (if ...

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

$13 - $17.50/hr

As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine learning techniques to solve challenging research questions. To efficiently execute your solutions, you ...

next page

Showing results 1-20

Junior Machine Learning Remote information

See salary details

$46.5K

$94.5K

$142K

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

As of May 29, 2026, the average yearly pay for junior machine learning remote in the United States is $94,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $95,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Junior Machine Learning Engineer (Remote), you need a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is highly valued. Strong problem-solving abilities, effective communication, and self-motivation are important soft skills for remote collaboration and continuous learning. These skills and qualities are crucial for successfully building, deploying, and improving machine learning models while working efficiently in a distributed team environment.

What are some common challenges faced by Junior Machine Learning Engineers working remotely, and how can they be addressed?

Junior Machine Learning Engineers working remotely often face challenges like limited access to mentorship, difficulty in collaborating on code or data projects, and staying updated with rapidly evolving tools. To address these, it's helpful to proactively seek regular check-ins with teammates, participate in virtual code reviews, and make use of collaborative platforms such as GitHub and Slack. Additionally, engaging in online communities and continuous learning through webinars or courses can help bridge knowledge gaps and foster professional growth.

What does a Junior Machine Learning Engineer do when working remotely?

A Junior Machine Learning Engineer working remotely assists in developing, testing, and deploying machine learning models under the guidance of more experienced engineers. Their tasks often include data cleaning, feature engineering, writing code for model training, and helping with basic evaluations of model performance. They collaborate with team members virtually, participate in code reviews, and may also help document processes or results. Remote work requires good communication skills, self-motivation, and a solid understanding of basic machine learning concepts and tools.
What are the most commonly searched types of Machine Learning Remote jobs? The most popular types of Machine Learning Remote jobs are:
Infographic showing various Junior Machine Learning Remote job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 64% Full Time, 30% Part Time, 1% Temporary, 2% Contract, and 2% Nights. Highlights an 67% Physical, 6% Hybrid, and 27% Remote job distribution, with an average salary of $94,542 per year, or $45.5 per hour.
Product Manager - Machine Learning - Remote

Product Manager - Machine Learning - Remote

NAVA Software Solutions

Manhattan, NY โ€ข On-site, Remote

Full-time

Posted 25 days ago


Job description

NAVA Software solutions is looking for a Product Manager - Machine Learning
Details:
Product Manager - Machine Learning
Location: Remote project
Duration: 12 months
Job Functions:
Within the role, the Lead Product Manager will:
  • Develop and manage end-to-end Machine Learning technical product solutions.
  • Leverage subject matter expertise to proactively engage with business partners to strategize and design solutions that improve investigation of activities, and decision-making utilizing Machine Learning
  • Identify opportunities to leverage Machine Learning technology to achieve Advanced Analytics strategic objectives. Partner with business and technology sponsors to build successful business cases to fund the initiatives
  • Represent and collaborate with business partner across the full product lifecycle. Oversee stakeholder engagement and communication, review and prioritization of business requirements, cross-functional user acceptance testing of selected solution(s), and development of change management plans for implementation and adoption.
  • Collaborate with business stakeholders and technology counterparts to evaluate third-party solutions where appropriate. Lead vendor engagement efforts from selection through implementation
  • Help define and validate success criteria for business partners where Machine Learning can improve their goals and objectives
  • Rely upon design thinking / growth mindset to approach business problems with a strategic view
  • Provide feedback regarding solutions, tools, and platforms with a view of strategic priorities
  • Champion new Machine Learning capabilities, functions, and processes within and across the organization

Education/Experience Requirements:
  • Bachelor's degree in Business Administration, Finance, Information Technology, or related field and a minimum of seven (7) years of experience working with ML; or an equivalent combination of education and experience
  • Experience developing or working directly on various aspects of large-scale ML platforms such as dataset generation, feature development, model testing and resource management to support the development of ML-powered product experiences such as NLP, computer-vision, ranking and personalization
  • Strong organizational skills, oral, and written communication skills, with an ability to administer multiple complex assignments concurrently and execute against tight deadlines
  • Familiarity with advanced reporting and analytics tools.
  • Be able to prioritize a complex workload, make difficult decisions, and resolve competing priorities
  • Proven record of operationalizing and deploying complex technology applications across business users from inception to delivery
  • Self-starter, forward-thinking, and ability to "get into the weeds" of business processes and technology capabilities to maximize value and outcomes

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media