Jianing Li in

Jianing Li

Critic · DISC type C
Machine Learning Engineer at Inception
📍 United States

Jianing is a Machine Learning Engineer at Inception, specializing in inference, reinforcement learning, and diffusion language models. His experience spans roles at Cohere, where he focused on ML systems for LLMs using TensorRT-LLM, and PlayAI, where he significantly improved SGLang performance. He holds both a Masters and Bachelors degree from the University of Toronto.

He chose machine learning as a profession because he believes in its potential to turn computation into applications that can bring society closer to absolute equality and maximal universal utility. This philosophical motivation drives his interest in the technical and moral aspects of AI development.

Unique fact: Jianing ranked in the top 3 out of all participants in the University of Toronto Math Contest.

Read the full overview →
Experience
3 Years
Current Role
Machine Learning Engineer
Job Level
Junior
Location
United States
Personality Overview

How Jianing shows up

Critic
Information Seeker
Negotiator

Unless the value is proven by data, they are unlikely to value fancy features. It is very likely that they will negotiate pricing or other important terms. They prefer to analyze logically and value objective facts over emotions.

Priorities

Topics Jianing cares about

LLM Optimization
His work at Cohere and PlayAI involved co-designing LLM architecture and systems, using TensorRT-LLM, and making SGLang significantly faster for TTS.
Advanced ML Models
Focuses on reinforcement learning and diffusion language modeling in his current role, building on his research in differentiable annealed importance sampling at the Vector Institute.
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Career

Work history

5-2025
Machine Learning Engineer
Inception
2-2025 - 5-2025
Machine Learning Engineer
PlayAI
8-2023 - 1-2025
Member of Technical Staff, ML Systems
Cohere
9-2020 - 4-2021
Statistical Machine Learning Researcher
Vector Institute
12-2019 - 8-2020
Deep Learning Research Intern
NVIDIA
In the press

Media appearances

No media yetWe could not find public media appearances for this person.
Education
9-2021 - 4-2023
Master of Science - MS
University of Toronto
9-2016 - 4-2021
Bachelor of Applied Science - BASc
University of Toronto
Social presence
in
Behavioral profile

DISC profile (public)

C

Calculativeness (C)

Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.

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