Research Engineer / Scientist – Modeling

Percepta • Boston, MA

85d

About The Position

As a Research Engineer/Scientist (LLM Modeling) at Percepta, you will advance the frontier of large-scale language model building and deployment. You will work on pre-training, post-training (e.g., instruction tuning, alignment, distillation), reinforcement learning (RL), and the design of specialized architectures to push the boundaries of reasoning, decision-making, and adaptability in critical industries. You’ll collaborate closely with our Embedded Product Managers (EPMs) and engineers to ensure our most sophisticated decision systems are both innovative and pragmatically useful in transforming how companies operate.

Requirements

• Have an MS/PhD in Computer Science, ML, a related field, or equivalent experience.
• Have depth in LLM and ML fundamentals from optimization to large scale training to Reinforcement Learning.
• Are comfortable implementing and debugging large-scale ML systems.
• Are motivated by impact in critical industries including healthcare, supply chains, energy, and finance.
• Have a proven track record of execution.
• Are an excellent communicator with both technical and non-technical stakeholders.
• Enjoy extreme ownership.
• Are passionate about AI’s transformative potential.

Responsibilities

• Identify impactful problems and design research strategies across pre-training, post-training, RL, and specialized model development.
• Prototype and scale training pipelines for large language models, experiment with model architectures, optimization techniques, and post-training strategies.
• Contribute to infrastructure for high-performance distributed training.
• Conduct in-the-wild evaluations at scale that drive millions of dollars in value.
• Partner with our applied AI engineers to transition successful research ideas into robust features of our Mosaic platform.
• Communicate research outcomes to both technical and non-technical stakeholders, making sure everyone understands the 'so what' of research and how to apply it.

What This Job Offers

• Education Level: Master's degree