Research Assistant
@ Orchestrate Consulting Group

Hybrid
$80,000
Hybrid
Full Time
Posted 5 days ago

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XXXXXXXX XXXXXXXXXXXXX XXXXXXXX***** @orchestrateconsulting.com
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Job Details

Why Consider This Job Opportunity

Opportunity to work with a cutting-edge AI research team focused on advancing Artificial Machine Intelligence. Collaborate with researchers and engineers to contribute to impactful publications in a flexible remote work environment. Develop innovative data curation algorithms and engage with large-scale multimodal datasets while working in a supportive and collaborative atmosphere.

What To Expect (Job Responsibilities)

  • Conduct independent research and engineering tasks for AMI initiatives.
  • Develop and refine data curation algorithms and tools.
  • Build and manage large, diverse datasets across modalities.
  • Collaborate with cross-functional teams for high-quality research artifacts.
  • Participate in publication efforts and contribute to the research community.

What Is Required (Qualifications)

  • 2-4 years of experience in LLMs, foundation models, and data-centric research.
  • Bachelor's degree in Mathematics, STEM, or Computer Science.
  • Proficiency in Python and PyTorch for machine learning.
  • Familiarity with cloud clusters and scalable computing environments.
  • Experience with operational machine learning workflows.

How To Stand Out (Preferred Qualifications)

  • Experience in developing large-scale multimodal datasets.
  • Familiarity with AI research methodologies and practices.
  • Strong analytical skills and effective communication of complex ideas.
  • Prior contributions to academic publications in AI.

Key skills/competency

  • AI Research
  • AMI
  • Data Curation
  • LLMs
  • Python
  • PyTorch
  • Cloud Computing
  • Multimodal Data
  • Publication
  • Machine Learning

How to Get Hired at Orchestrate Consulting Group

🎯 Tips for Getting Hired

  • Customize your resume: Align skills with AI research and Python experience.
  • Showcase project work: Highlight AMI and algorithm development details.
  • Emphasize publications: Mention academic contributions and research articles.
  • Practice technical interviews: Prepare with Python and PyTorch coding challenges.

📝 Interview Preparation Advice

Technical Preparation

Study Python algorithm optimization
Practice PyTorch coding exercises
Review scalable cloud computing concepts
Analyze recent LLMs research papers

Behavioral Questions

Describe team collaboration examples
Share independent research projects
Discuss challenging problem-solving experiences
Explain clear communication in projects

Frequently Asked Questions