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Contract Machine Learning Research Scientist Jobs

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, manage research programs, and mentor junior researchers in their ...

Senior Machine Learning Scientist

Austin, TX · On-site

$97K - $124K/yr

Your Impact The Senior Machine Learning Research Scientist is a key contributor to DISCO's machine learning and AI research initiatives, leading the development of advanced algorithms and ...

Machine Learning Research Scientist Location: Hybrid - SOLU,Seattle, WA) Compensation: $190-230k ... For contract positions, hired candidates will be employed by Prime Team for the duration of the ...

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Contract Machine Learning Research Scientist information

See salary details

$50.5K

$130.1K

$174K

How much do contract machine learning research scientist jobs pay per year?

As of Jun 6, 2026, the average yearly pay for contract machine learning research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Contract Machine Learning Research Scientist, and why are they important?

To thrive as a Contract Machine Learning Research Scientist, you need advanced knowledge of machine learning algorithms, statistical modeling, and a graduate degree in computer science, mathematics, or a related field. Expertise with programming languages such as Python or R, familiarity with ML frameworks like TensorFlow or PyTorch, and experience using version control systems are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills set standout candidates apart in collaborative and fast-paced research environments. These skills are crucial for developing innovative solutions, interpreting complex data, and delivering high-quality research outcomes within contractual timelines.

What does a Contract Machine Learning Research Scientist do?

A Contract Machine Learning Research Scientist is a professional hired on a temporary or project basis to design, develop, and implement machine learning models and algorithms. They collaborate with teams to analyze data, conduct experiments, and improve AI systems, often in academic, industrial, or commercial settings. Their work typically involves researching new techniques, publishing findings, and translating research into practical applications. Since they work on a contract basis, their roles may vary depending on the project's needs and duration.

What is the difference between Contract Machine Learning Research Scientist vs Data Scientist?

AspectContract Machine Learning Research ScientistData Scientist
CredentialsMaster's or PhD in CS, ML, or related fieldsBachelor's or Master's in CS, Statistics, or related fields
Work EnvironmentResearch labs, R&D teams, academic collaborationsBusiness analytics, product teams, data-driven decision making
Employer & Industry UsageTech companies, research institutions, startupsFinance, healthcare, e-commerce, tech firms

Contract Machine Learning Research Scientists focus on developing new algorithms and conducting research, often in academic or R&D settings. Data Scientists analyze data to generate insights and support business decisions. While both roles require strong ML knowledge, the research scientist role emphasizes innovation and experimentation, whereas data scientists focus on applying existing models to real-world problems.

What are some common challenges faced by contract machine learning research scientists when working on short-term projects?

Contract machine learning research scientists often encounter challenges such as limited timeframes to achieve research milestones, quickly adapting to new domains or datasets, and efficiently integrating with existing teams. As short-term contributors, they must rapidly understand the project's context and deliver impactful results within strict deadlines. Clear communication and proactive collaboration with permanent staff are essential to ensure alignment with project goals and to maximize the value delivered during the contract period.
More about Contract Machine Learning Research Scientist jobs
What cities are hiring for Contract Machine Learning Research Scientist jobs? Cities with the most Contract Machine Learning Research Scientist job openings:
What are the most commonly searched types of Machine Learning Research Scientist jobs? The most popular types of Machine Learning Research Scientist jobs are:
What states have the most Contract Machine Learning Research Scientist jobs? States with the most job openings for Contract Machine Learning Research Scientist jobs include:
What job categories do people searching Contract Machine Learning Research Scientist jobs look for? The top searched job categories for Contract Machine Learning Research Scientist jobs are:
Infographic showing various Contract Machine Learning Research Scientist job openings in the United States as of May 2026, with employment types broken down into 3% Internship, 15% Full Time, 3% Temporary, and 79% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.
Senior Machine Learning Scientist

Senior Machine Learning Scientist

DISCO

Austin, TX • On-site

$97K - $124K/yr

Full-time

Posted 19 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, manage research programs, and mentor junior researchers in their machine learning 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.