DISCO
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MachineLearningScientistIII
Neural analysis suggests this role is
optimal for Senior candidates.
“Machine Learning Scientist III at DISCO. Skills: Machine learning, Generative AI, Algorithm development, Research. Design machine learning algorithms. Develop machine learning algorithms”
Industry & Context.
Resolving technical blockers; Creative thinking; Problem-solving skills; Systemic decomposition; Risk mitigation strategies
What They're Looking For.
Must Have
2 to 4+ years of relevant experience in machine learning research, Demonstrated experience in algorithm development and implementation, Experience working with advanced statistical methods
Nice to Have
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, Track record of conducting high-quality research leading to publications, Proven ability to collaborate with cross-functional teams, Effective communication and collaboration skills, Creative thinking and problem-solving skills, Proven capability to innovate in the development of novel algorithms, Deep understanding of Generative AI frameworks, Prompt engineering methodologies, Autonomous AI agent design patterns, Systemic decomposition capability, Develop comprehensive risk mitigation strategies for AI projects, Translate complex requirements into technical specifications, Advocating for sound architectural choices
What You'll Do.
Design machine learning algorithms
Develop machine learning algorithms
Optimize machine learning algorithms
Design Generative AI models
Deploy Generative AI models
Design autonomous AI agents
Conduct data analysis
Inform research projects
Stay updated with literature
Collaborate with cross-functional teams
Integrate machine learning solutions
Mentor junior team members
Resolve technical blockers
Contribute innovative ideas
Enhance research projects
Enhance research methodologies
Participate in strategic discussions
Contribute to research planning
Apply machine learning research
Address industry challenges
Drive research projects
Drive machine learning projects
Ensure reproducible results
How You'll Work.
Team & Collaboration
Cross-functional teams; Interdisciplinary teams; Interdisciplinary projects
Communication Scope
Technical discussions
Process & Methodology
Project stewardship, Research planning, Production deployment
Full Job Description
Your Impact The Machine Learning Scientist III 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. They play a crucial role in advancing our organization's machine learning capabilities. What You'll Do Algorithm Development and Implementation: Designs, develops, and optimises machine learning algorithms for various applications, including the design and deployment of Generative AI models and autonomous AI agents. 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 and acts as a force multiplier by formally mentoring junior team members and proactively resolving technical blockers. 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 Project Stewardship: Drives complete research and machine learning projects end-to-end—from conception through production deployment—with minimal supervision, ensuring comprehensive documentation and reproducible results. Who You Are 2 to 4+ years of relevant experience in machine learning research. Demonstrated experience in algorithm development and implementation. Demonstrated experience working with Generative AI technologies (e.g., LLMs, diffusion models) and building or researching agentic AI workflo
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