Back to Jobs

AI Research Manager

Articul8 AI
πŸ‡ΊπŸ‡Έ United States – Remote
Full-time
$125K–$157K
Estimated
Remote
Apply Now

Required Skills

⏰ Full Time
🟠 Senior
πŸ”΄ Lead
🧠 AI Research Scientist
AWS
Azure
Cloud
Google Cloud Platform
Python
Machine Learning
Deep Learning
Natural Language Processing
Computer Vision
Llm
Rag
R
Go
Statistics
Excel
Aws
Gcp
Git
Research
Publications
Leadership

Job Description

<h3>πŸ“‹ Description</h3> β€’ About us: β€’ At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same. β€’ Job Description: β€’ Articul8 AI is seeking an exceptional AI Research Manager to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for overseeing the strategic direction, operational management, and hands-on implementation of research projects aimed at advancing our GenAI technologies. β€’ Responsibilities: β€’ Lead and contribute to the hands-on implementation of research projects, including coding and technical development. Collaborate with the team to design, develop, implement, and optimize GenAI models and algorithms. Participate in code reviews and provide technical guidance to team members. β€’ Oversee the execution of research projects from ideation to deployment, ensuring timely and quality delivery. Manage project budgets and resource allocation, ensuring efficient use of resources. β€’ Develop and implement the research strategy and roadmap that aligns with the company’s long-term goals. Provide strategic direction and oversight for research initiatives, ensuring alignment with business objectives. β€’ Collaborate with cross-functional teams, including product, engineering, and business development, to integrate research findings into product development. Build and maintain relationships with academic institutions and industry partners to foster research collaborations and knowledge sharing. β€’ Continuously stay abreast of emerging trends and advancements in GenAI and associated fields, while disseminating appropriate research results at top-tier conferences and journals. β€’ Hire, mentor, and develop a high-performing team of AI researchers and engineers. Foster a collaborative and innovative research culture, encouraging creativity and continuous learning. <h3>🎯 Requirements</h3> β€’ Education: MSc degree in Computer Science, Machine Learning (ML), or a related field. β€’ Professional experience: β€’ 8+ years of experience as an AI researcher with a track record of applied research work acting as a hands-on technical leader developing novel techniques for AI in general; and 3+ years of experience actively developing GenAI technologies. β€’ A strong background in parallel/distributed computing (preferably on the cloud). β€’ Proven track record of publications in top-tier conferences and journals. β€’ Core technical skills: β€’ Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments. β€’ Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation. β€’ Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial. β€’ Preferred Qualifications: β€’ PhD in Computer Science, Machine Learning (ML), or related technical fields. β€’ 8+ years of hands-on experience as an applied ML/AI researcher. β€’ 5+ years in a leadership role managing research teams. β€’ Experience with cloud computing platforms such as AWS, Azure, or GCP.

Job Details

Employment Type

Full-time

Salary Range

$125K–$157K

Estimated

Location

πŸ‡ΊπŸ‡Έ United States – Remote

Remote Work

Remote Friendly