AI & ML Researchers

Job Description Summary

We are seeking AI/ML Researchers to drive innovation in large language models (LLMs), AI agents, and advanced machine learning systems. This role is ideal for hands‑on researchers with a strong academic background, demonstrated publications, and practical experience translating cutting‑edge AI techniques into real‑world applications. You will work at the intersection of research and product, collaborating with cross‑functional teams to design, develop, and deploy next‑generation AI solutions that create measurable business impact.

• Conduct research in large language models, generative AI, reinforcement learning, and AI agents, with a focus on advancing state‑of‑the‑art capabilities.
• Design and implement new algorithms and architectures for LLM fine‑tuning, adaptation, and multi‑agent collaboration.
• Translate business problems into research‑driven AI solutions, working closely with stakeholders to identify opportunities for innovation.
• Build and evaluate models using techniques such as deep learning, natural language processing, generative modeling, reinforcement learning, and multi‑modal learning.
• Own the end‑to‑end lifecycle of research‑driven ML projects, from exploration and prototyping to production deployment and monitoring.
• Publish findings in top‑tier conferences and journals, contributing to the broader AI research community.
• Collaborate with product managers, data engineers, and software engineers to bring research ideas into scalable, production‑grade systems.
• Partner with data engineering teams to ensure robust pipelines and infrastructure for training, experimentation, and deployment.
• For senior/lead level, mentor junior researchers and data scientists, fostering a culture of innovation and scientific rigor.

• PhD in Computer Science, Electrical Engineering, Mathematics, Physics, or a related quantitative field.
• Proven track record of research excellence demonstrated by publications in top ML/AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, AAAI, KDD) or journals.
• Experience in machine learning or AI research, with applied experience in LLMs, generative AI, or AI agents.
• Strong proficiency in Python and ML frameworks such as PyTorch or Tensor Flow.
• Hands‑on experience with MLOps tools and cloud platforms (AWS, GCP, or Azure).
• Expertise in at least one of the following areas:
  • Large Language Models (pretraining, fine‑tuning, prompt engineering, retrieval‑augmented generation)
  • Autonomous AI Agents and multi‑agent systems
  • Generative AI (text, vision, speech, or multimodal)
  • Reinforcement learning and decision‑making systems
• Familiarity with distributed data systems, high‑performance computing, and GPU/TPU‑based model training.
• Strong communication skills, with the ability to present research findings to both technical and non‑technical stakeholders.

• Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution.
• 401(k):
  Mod Med provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with Mod Med, 100% of any matching contribution you receive is yours to keep.
• Generous Paid Time Off and Paid Parental Leave programs.
• Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs.
• Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within Mod Med.
• Professional development opportunities, including tuition reimbursement programs and unlimited access to Linked In Learning.
• Global presence and in‑person collaboration opportunities; dog‑friendly HQ (US), Hybrid office‑based roles and remote availability for some roles.
• Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters.