Machine learning researcher

2 weeks ago

Delhi, India Binoloop Full time
Location: India (Remote)
About Binoloop:
Binoloop is at the forefront of transforming decision-making through autonomous AI agents. Our flagship AI co-pilot, Tally, revolutionizes procurement evaluations, reducing evaluation times by 75% and ensuring transparency throughout the process. At Binoloop, we are committed to advancing the boundaries of AI research and development, aiming to set the standard for responsible and unbiased AI integration in industries worldwide.
Role Overview:
We are seeking a highly motivated and experienced full-time Machine Learning Research Intern with a strong background in Machine Learning and Large Language Models (LLMs). This 4-month position is designed for a Ph D student or an individual with equivalent research experience. The intern will work on cutting-edge research focused on advancing reasoning capabilities in LLMs using Binoloop's trademark models. This is an exciting opportunity to collaborate with a team of AI experts and contribute to novel advancements in LLMs' interpretability, reasoning, and decision-making processes.
This opportunity is for candidates based in India only.
Please submit your resume to: Your resume will not be reviewed if you do not submit via the above mentioned Link.
Key Responsibilities:
- Conduct cutting-edge research in reasoning, interpretability, and performance optimization of Large Language Models (LLMs).
- Develop, test, and evaluate new techniques for improving reasoning and decision-making abilities in LLMs.
- Collaborate with the research and development teams to integrate findings into Binoloop's proprietary models.
- Design and implement experiments to evaluate LLM behavior and performance on a variety of reasoning tasks.
- Write research papers, reports, and documentation to contribute to academic publications and internal knowledge bases.
- Stay current with the latest research in machine learning, natural language processing, and related fields.
Qualifications:
- Ph D student or equivalent research experience in Machine Learning, Artificial Intelligence, or a related field.
- Proven experience with Large Language Models (LLMs) and deep learning architectures.
- Strong background in machine learning theory, particularly in natural language processing, reasoning, and decision-making.
- Proficiency with Python and machine learning frameworks such as Tensor Flow or Py Torch.
- Experience with research methodologies, experimentation, and data analysis techniques.
- Published research in top-tier conferences or journals is a plus.
Soft Skills:
- Strong analytical thinking and problem-solving capabilities.
- Ability to work independently and collaboratively in a fast-paced environment.
- Excellent communication skills, both written and verbal, with a strong ability to present complex concepts clearly.
- Passion for research and innovation, with a keen interest in advancing AI reasoning and interpretability.
Why Join Binoloop?
- Gain hands-on experience in AI research, working with industry-leading models and technologies.
- Be a part of groundbreaking research that pushes the boundaries of LLM reasoning and decision-making.
- Collaborate with a team of experienced researchers and professionals in the AI and machine learning field.
- Flexible work hours and the opportunity to work remotely.
- A unique opportunity to contribute to research with real-world applications and impact.
Join us at Binoloop, and be a part of shaping the future of decision-making through AI-driven innovation

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