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Machine Learning Research Scientist 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, manage research programs, and mentor junior researchers in their ...

DISCO

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 ...

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

As of Jun 6, 2026, the average yearly pay for 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 in the Machine Learning Research Scientist position, and why are they important?

To thrive as a Machine Learning Research Scientist, you need a strong background in mathematics, statistics, programming (typically Python or similar), and experience with machine learning frameworks, usually supported by an advanced degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Scikit-learn, and proficiency in data handling and cloud platforms is highly valued, alongside certifications like Google Cloud ML Engineer as a plus. Innovative thinking, strong communication, and effective problem-solving skills help set exceptional researchers apart. Mastery of both technical and soft skills is essential for developing impactful models, collaborating across multidisciplinary teams, and staying ahead in this fast-evolving field.

What are the typical projects and daily responsibilities for a Machine Learning Research Scientist?

As a Machine Learning Research Scientist, your typical projects may include developing novel algorithms, conducting experiments on large datasets, implementing and tuning models, and publishing research findings. Your daily responsibilities often involve coding, data analysis, reading the latest literature, collaborating with engineers and product teams, and participating in internal discussions about research direction. You may also mentor junior researchers, contribute to open-source projects, and present results at conferences or internal meetings. This role offers a dynamic work environment where continuous learning and innovative problem-solving are highly encouraged.

What is a Machine Learning Research Scientist job?

A Machine Learning Research Scientist develops new algorithms and models to advance the field of artificial intelligence. They conduct experiments, analyze data, and publish research to push the boundaries of machine learning theory and applications. Their work often involves designing novel architectures, optimizing existing models, and collaborating with engineers to bring research into production. This role typically requires a deep understanding of mathematics, statistics, and programming, along with experience in areas like deep learning, reinforcement learning, or probabilistic modeling.

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Machine Learning Research Scientist jobs near you
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.

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