DISCO Logo

DISCO

Senior Machine Learning Scientist

Sorry, this job was removed at 04:28 p.m. (CST) on Friday, Jun 19, 2026
Be an Early Applicant
Hybrid
Austin, TX, USA
Hybrid
Austin, TX, USA

Similar Jobs

Yesterday
In-Office
Austin, TX, USA
Senior level
Senior level
News + Entertainment
The role involves developing novel methodologies for conversion modeling in advertising, using machine learning and statistical techniques to enhance performance and optimization.
Top Skills: AIControl SystemsDeep LearningMachine LearningOptimization SystemsReinforcement LearningStatistical TechniquesTime Series Modeling
8 Days Ago
In-Office
Senior level
Senior level
Fintech
This role involves leading advanced analytics, mentoring junior data scientists, and presenting insights to support data-driven decisions.
Top Skills: AIAnalyticsData WranglingMachine LearningProgrammingStatistical Modeling
15 Days Ago
In-Office
Austin, TX, USA
Senior level
Senior level
News + Entertainment
Develop novel methodologies for Advertising problems using advanced statistical and deep learning techniques. Conduct research, build discriminative and generative models, and lead projects in the Advertising ecosystem.
Top Skills: AIDeep LearningMachine LearningReinforcement LearningStatistical Techniques
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 methodologies. They are a seasoned researcher with a track record of impactful contributions, strategic thinking, and effective collaboration. They play a pivotal role in shaping the direction of our machine learning research efforts.

What You'll Do
  • Research Leadership and Innovation: 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. 
  • Operational Excellence and Program Management: Optimizes research processes, workflows, and resource allocation.Manages research programs, overseeing multiple projects and teams. Ensures the successful execution of complex research initiatives. 
  • Collaboration and Industry Impact: 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. 
  • Strategic Planning and Contribution to Research Community: 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.
  • Mentorship and Team Development: 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.
Who You Are
  • 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.
Even Better If You Have…
  • Experience in operational leadership, optimizing research processes.
  • Exposure to program management at a project or team level.

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. DISCO is not currently sponsoring visas, including, but not limited to, H-1B, TN, or EAD, and we are not accepting visa transfers.

Perks of DISCO 
  • Open, inclusive, and fun environment
  • Benefits, including medical, dental and vision insurance, as well as 401(k) 
  • Competitive salary plus RSUs
  • Flexible PTO 
  • Opportunity to be a part of a company that is revolutionizing the legal industry
  • Growth opportunities throughout the company
About DISCO

DISCO provides a cloud-native, artificial intelligence-powered legal solution that simplifies ediscovery, legal document review and case management for enterprises, law firms, legal services providers and governments. Our scalable, integrated solution enables legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters. 

At DISCO, we believe AI is a core enabler of how work gets done. All employees are expected to proactively adopt and responsibly use AI tools to drive efficiency, improve outcomes, and continuously evolve how they operate in their role.

Are you ready to help us fulfill our mission to use technology to strengthen the rule of law? Join us! 

We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


HQ

DISCO Austin, Texas, USA Office

Our global headquarters are located in the thriving downtown of Austin!

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account