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Weekday Machine Learning Research Scientist Jobs

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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$50.5K

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$174K

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

As of Jun 5, 2026, the average yearly pay for weekday 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 Weekday Machine Learning Research Scientist, and why are they important?

To thrive as a Weekday Machine Learning Research Scientist, you need a solid background in mathematics, statistics, programming (Python, R), and a relevant advanced degree such as a Master's or Ph.D. in computer science or a related field. Expertise with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and familiarity with cloud computing platforms are typically required. Strong analytical thinking, problem-solving abilities, and clear communication skills help you collaborate with teams and present complex findings effectively. These skills are crucial for developing innovative models, delivering impactful research, and ensuring successful implementation in real-world applications.

What are some common challenges faced by a Weekday Machine Learning Research Scientist, and how are they typically addressed within the team?

Weekday Machine Learning Research Scientists often encounter challenges such as managing large datasets, tuning complex models, and keeping up with rapidly evolving research. Collaboration is key—team members regularly hold meetings to share findings, brainstorm solutions, and review code. Access to robust computational resources and mentorship from senior researchers helps address technical obstacles, while a structured, weekday schedule allows for focused research and effective work-life balance.

What does a Weekday Machine Learning Research Scientist do?

A Weekday Machine Learning Research Scientist conducts research and develops new algorithms or models in the field of machine learning, typically during standard business days (Monday to Friday). Their work involves designing experiments, analyzing data, publishing findings, and collaborating with other scientists or engineers. They may focus on improving existing machine learning techniques or creating innovative solutions for real-world problems. This role often requires a strong background in mathematics, computer science, and statistics, as well as proficiency in programming languages like Python or R.

What is the difference between Weekday Machine Learning Research Scientist vs Weekend Machine Learning Research Scientist?

AspectWeekday Machine Learning Research ScientistWeekend Machine Learning Research Scientist
CredentialsMaster's or PhD in Computer Science, Data Science, or related fieldsSame as weekday role
Work EnvironmentTypically in office or research labs during standard hoursFlexible hours, often part-time or project-based
Employer & Industry UsageTech companies, research institutions, startupsFreelance projects, consulting firms, academic collaborations

The main difference between a Weekday Machine Learning Research Scientist and a Weekend Machine Learning Research Scientist lies in their work schedule and environment. Weekday roles usually involve full-time employment with structured hours, while weekend roles are often part-time or freelance, offering more flexibility. Both roles require similar credentials and are used across tech and research industries.

What cities are hiring for Weekday Machine Learning Research Scientist jobs? Cities with the most Weekday 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 Weekday Machine Learning Research Scientist jobs? States with the most job openings for Weekday Machine Learning Research Scientist jobs include:
Weekday 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 18 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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