Principal AI Researcher
Articul8 AI
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- Serve as the subject matter expert in various domains of GenAI research and development, including:
- Data pipelines: Design and optimize data processing workflows for large-scale model training
- Training methodologies: Implement pre-training, mid-training, and post-training strategies and optimization techniques
- Reinforcement learning: Develop RL algorithms for GenAI and with applications in decision-making, personalization, and several other tasks
- Multimodal AI: Create systems that effectively process and generate across text, image, audio, and video modalities
- Personalization: Design and implement tailored GenAI experiences by understanding user behavior, preferences, and contexts to deliver customized content and recommendations
- Knowledge representation and retrieval: Develop techniques for effectively representation of information and knowledge elicitation, as well as search and retrieval.
- Play a technical leadership role in designing, developing, and scaling novel algorithms and models by taking them from research prototypes to production-ready systems that deliver real-world impact
- Lead groundbreaking research initiatives in GenAI by identifying high-impact problems, designing innovative experiments, and developing solutions that advance both theoretical understanding and practical applications.
- Drive strategic decision-making processes by contributing to technology assessment, roadmap planning, and identifying areas for innovation that align with Articul8's business objectives.
- Partner with cross-functional teams to integrate cutting-edge research findings into products and maintain our technological leadership in the market.
- Monitor and analyze emerging trends in generative AI and related fields, sharing valuable research contributions through publications at prestigious conferences and journals.
- Mentor and guide junior team members and help building a strong culture of rapid innovation.
Requirements
- PhD/MSc degree in Computer Science, Machine Learning (ML), or a related field.
- 8+ years of experience as an AI researcher with a track record of applied research and/or product development (out of which, at least 3+ years should be on actively developing GenAI technologies).
- Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments.
- A strong background in parallel/distributed computing on the cloud.
- Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation.
- Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial.
Benefits
- Competitive salary
- Flexible working hours
- Professional development budget
- Home office setup allowance
- Global team events
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data pipelinestraining methodologiesreinforcement learningmultimodal AIpersonalizationknowledge representationcloud computingmachine learningdeep learningnatural language processing
Soft Skills
technical leadershipmentoringstrategic decision-makingcross-functional collaborationinnovation
Certifications
PhDMSc