Machine Learning Scientist, DISCO
Offers Restricted Stock Units (RSU)
AI enabled legal technology
Job no longer available
AI enabled legal technology
501-1000 employees
Job no longer available
Offers Restricted Stock Units (RSU)
501-1000 employees
Company mission
To reinvent legal technology to automate and simplify complex and error-prone tasks that distract from practicing law.
Role
Who you are
- Master's degree or equivalent experience in Computer Science, Machine Learning, Statistics, or a related field
- 2 to 4+ years of relevant experience in machine learning research
- Demonstrated experience in algorithm development and implementation
- Mastery in designing and implementing complex machine learning algorithms
- Demonstrated expertise in optimizing algorithms for efficiency and scalability
- Profound understanding and proficiency in data analysis, including the ability to identify patterns and extract meaningful insights from large and diverse datasets
- Track record of conducting high-quality research leading to publications in reputable conferences or journals
- Proven ability to collaborate with cross-functional teams, contributing machine learning expertise to interdisciplinary projects
- Effective communication and collaboration skills to bridge the gap between technical and non-technical stakeholders
- Creative thinking and problem-solving skills, coupled with the ability to design robust research methodologies
- Proven capability to innovate in the development of novel algorithms, methodologies, or applications
Desirable
- Experience in collaborating with cross-functional teams
- Exposure to operational aspects of research projects
- Experience working with advanced statistical methods
What the job involves
- The Machine Learning Scientist is at the forefront of DISCO’s machine learning and AI research efforts, contributing to the development and enhancement of machine learning algorithms
- They have a strong foundation in research methodologies, the ability to innovate, and effective collaboration within interdisciplinary teams
- Algorithm Development and Implementation: Designs, develops, and optimizes machine learning algorithms for various applications. Implements and tests algorithms to ensure accuracy, efficiency, and scalability
- Data Analysis and Literature Review: Conducts comprehensive data analysis to derive insights and inform research projects. Stays updated with the latest literature in machine learning and related fields
- Collaboration and Interdisciplinary Work: Collaborates with cross-functional teams to integrate machine learning solutions into projects. Contributes machine learning expertise to interdisciplinary research initiatives
- Innovation and Strategy: Contributes innovative ideas to enhance research projects and methodologies. Participates in strategic discussions related to research planning
- Industry Impact: Contributes to the application of machine learning research to address real-world industry challenges
Our take
DISCO is a legaltech leveraging cloud computing and AI to enhance compliance, dispute resolution, and investigations, thereby optimizing outcomes for legal teams and their clients. its suite of tools, including case builders, review platforms, and e-discovery solutions, is designed to minimize errors and better align with established legal practices compared to traditional e-discovery tools.
In response to the growing need for independent brands to reduce reliance on major tech platforms for customer acquisition, DISCO was founded. This initiative comes at a pivotal time as businesses increasingly shift online, driving up the costs associated with acquiring customers through digital channels. Consequently, brands are actively seeking alternative methods to expand their customer base.
DISCO has experienced significant growth as a result of this demand, boasting a clientele of approximately 1,000 firms, including a majority of the prestigious Am Law 200. Funding has positioned the company for further expansion into European and Asian markets. With ongoing refinements to its AI software, DISCO is poised to maintain steady progress in an ever-evolving landscape.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Oct 2020
$60m
LATE VC
Jan 2019
$83m
SERIES E
Total funding: $193.8m
Company benefits
- Start-up culture
- Open PTO
- Growth opportunities
- Medical, dental, and vision, 401(k)
Company values
- Meaningful impact: We strive to ensure that every employee is connected to our mission and we believe that every employee is capable of driving meaningful impact to our customers and communities
- All-in: We build bridges across teams and projects and value all opinions, perspectives, and ideas - no matter who or where they come from. We all work across functions as needed to ensure that we win as a team
- Grit & grace: We are resilient and adaptable and capable of quickly changing in response to new problems, ideas, or data. We balance our grit with humility and empathy, giving grace and respect to our employees, communities, partners, and customers
- Innovation: We approach problems with what we call the "inventor's spirit", the idea that you should not accept the world as it is, but instead seek ways in which it could be made better. We are curious, observe sharply, spot issues, and solve problems from the ground up. We debate and strive to create an environment in which the best ideas win
- Craft: We are deeply passionate about our craft and believe in the importance of striving for excellence and improvement every day, whether that craft is software engineering, sales, or any other aspect of our work. We continuously look for opportunities to become better at what we do
Company HQ
Congress Avenue Historic District, Austin, TX
Articles
Leadership
Kiwi Camara
(CEO)They studied at Harvard Law School and hold a Ph.D. in Economics from Stanford. Previously a Partner at the law firm Camara & Sibley from 2009-2013.
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