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Junior Machine Learning Jobs (NOW HIRING)

DISCO

Senior Machine Learning Scientist

Austin, TX · On-site

$97K - $124K/yr

They are seeking a Senior Machine Learning Research Scientist to lead the development of advanced algorithms and methodologies, mentor junior researchers, and manage complex research initiatives.

DISCO

Senior Machine Learning Scientist

Austin, TX · On-site

$97K - $124K/yr

Provides technical leadership and mentorship to junior and mid-level researchers. * Operational ... Contributes machine learning expertise to drive industry impact. * Strategic Planning and ...

DISCO

Senior Machine Learning Scientist

Austin, TX · On-site

$97K - $124K/yr

Provides technical leadership and mentorship to junior and mid-level researchers. * Operational ... Contributes machine learning expertise to drive industry impact. * Strategic Planning and ...

PitchBook

Machine Learning Engineer

Seattle, WA · On-site

Provide situational guidance to junior engineers and contribute to team best practices • Build ... machine learning engineering, with a strong focus on AI/ML applications in insight generation ...

PitchBook Data

Machine Learning Engineer

Seattle, WA

As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role ... Provide situational guidance to junior engineers and contribute to team best practices * Build and ...

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Junior Machine Learning information

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How much do junior machine learning jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for junior machine learning in the United States is $26.96, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $33.17 per hour, depending on experience, location, and employer.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What types of projects and tasks can a Junior Machine Learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

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

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.
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What cities are hiring for Junior Machine Learning jobs? Cities with the most Junior Machine Learning job openings:
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What job categories do people searching Junior Machine Learning jobs look for? The top searched job categories for Junior Machine Learning jobs are:
Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $56,068 per year, or $27 per hour.
Senior Machine Learning Scientist

Senior Machine Learning Scientist

DISCO

Austin, TX • On-site

$97K - $124K/yr

Full-time

Posted 20 days ago

Job description

Job Summary:
DISCO is a company that provides a cloud-native, artificial intelligence-powered legal solution. They are seeking a Senior Machine Learning Research Scientist to lead the development of advanced algorithms and methodologies, mentor junior researchers, and manage complex research initiatives.
Responsibilities:
• Leads and contributes to impactful machine learning research projects.
• Drives innovation in the development of advanced algorithms and methodologies.
• Provides technical leadership and mentorship to junior and mid-level researchers.
• Optimizes research processes, workflows, and resource allocation.
• Manages research programs, overseeing multiple projects and teams.
• Ensures the successful execution of complex research initiatives.
• Collaborates effectively with cross-functional teams and external partners.
• Engages with industry stakeholders to address real-world challenges.
• Contributes machine learning expertise to drive industry impact.
• Contributes to the strategic planning of the organization's research initiatives.
• Actively participates in the broader research community, including conference involvement.
• Fosters global collaborations and partnerships to enhance research outcomes.
• Mentors and provides guidance to junior and mid-level researchers.
• Actively contributes to the professional development of research teams.
• Fosters a collaborative and innovative team culture.
Qualifications:
Required:
• 6 to 8+ years of relevant experience in machine learning research.
• Master's, PhD or equivalent research experience in the areas of Computer Science, Machine Learning, Statistics or a related discipline
• Proven track record of impactful research projects and leadership.
• Proven experience in leading or significantly contributing to complex and large-scale research projects.
• Demonstrated ability to oversee project timelines, manage resources effectively, and ensure successful research outcomes.
• Expertise in strategic planning and execution of an organization's overarching machine learning research agenda.
• Contribution to the development and implementation of long-term research strategies.
• Extensive experience in mentoring and providing guidance to junior and mid-level researchers.
• Leadership in managing and leading research teams, fostering a culture of knowledge-sharing and innovation.
• Continued innovation in the development of novel algorithms, methodologies, or applications.
• Track record of contributing groundbreaking ideas to the field of machine learning.
• Substantial experience in applying machine learning research to real-world industry problems.
• A deep understanding of the practical implications and challenges of deploying machine learning models in real-world scenarios.
• Authorization to work in the U.S.: Candidates must be legally authorized to work in the United States without sponsorship now or in the future.
Preferred:
• Experience in operational leadership, optimizing research processes.
• Exposure to program management at a project or team level.
Company:
DISCO is a legaltech company that applies AI and cloud computing to legal problems to help lawyers and legal teams improve legal outcomes. Founded in 2012, the company is headquartered in Austin, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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