AI & ML Researchers

Job Description

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.

Qualifications

• 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 TensorFlow.
• 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.

Benefits

• Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution.
• 401(k): ModMed 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 ModMed, 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.
• Employee Assistance Programs.
• Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed.
• Professional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn 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.

PHISHING SCAM WARNING

No job offers will be made from ModMed without a formal interview process, and valid communications from our hiring team will come from our employees with a ModMed email address (first.lastname@modmed.com). Please check senders’ email addresses carefully. Additionally, ModMed will not ask you to purchase equipment or supplies as part of your onboarding process.