Artificial Intelligence Researcher

Job Title: AI Researcher - Foundational Models

Job Location: Boston or San Francisco

Job Type: Contract

Job Description: We are seeking a highly motivated and skilled AI Researcher to join our team, focusing on foundational models in artificial intelligence. The ideal candidate will have a strong background in machine learning, big data, and multimodal systems, with a passion for advancing the state of the art in AI research.

Key Responsibilities:

• Conduct original research on foundational models, including large language models, vision models, and multimodal systems that integrate various data types.
• Design, implement, and evaluate novel algorithms and architectures to improve the performance and efficiency of foundational models, particularly those with billions of parameters.
• Develop and optimize data pipelines for processing and analyzing terabytes of data efficiently.
• Leverage GPU clusters for large-scale model training and experimentation, ensuring scalability and performance.
• Collaborate with cross-functional teams to integrate research findings into practical applications and products.
• Publish research findings in top-tier conferences and journals, contributing to the academic community.
• Stay up-to-date with the latest advancements in AI and machine learning, and apply this knowledge to ongoing projects.
• Mentor and guide junior researchers and interns in their research activities.

Job Requirements:

Education:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent experience).

Experience:

• Proven experience in AI research, particularly in foundational models, big data, and multimodal systems.
• Strong publication record in reputable conferences and journals in the field of AI.
• Experience with large-scale machine learning frameworks and libraries, including Burn and Candle.

Technical Skills:

• Proficiency in programming languages such as C , Rust, and Python.
• Strong understanding of machine learning algorithms, neural networks, and optimization techniques.
• Experience with MLX for machine learning experimentation and model management.
• Familiarity with building and optimizing data pipelines for handling terabytes of data efficiently.
• Experience with GPU clusters for high-performance computing and model training.

Soft Skills:

• Excellent problem-solving skills and the ability to think critically and creatively.
• Strong communication skills, both written and verbal, with the ability to present complex ideas clearly.
• Ability to work collaboratively in a team-oriented environment and contribute to a positive research culture.

Preferred Qualifications:

• Experience with reinforcement learning, generative models, or other advanced AI techniques.
• Knowledge of ethical considerations and societal impacts of AI technologies.
• Familiarity with data privacy and security issues related to AI research.

What We Offer:

• Competitive salary and benefits package.
• Opportunities for professional development and continuous learning.
• A collaborative and innovative work environment.
• The chance to work on cutting-edge AI research that has a real-world impact.

Application Process: Interested candidates should submit their resume, a cover letter detailing their research experience and interests, and links to relevant publications or projects.