Machine Learning Engineer, AI Coding Tools San Jose Regular

Join us as we work together to inspire creativity and enrich life around the globe.

Location:

San Jose

Team:
Technology

Employment Type:

Regular

Job Code: A100294

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About the team: TRAE (The Real AI Engineer) is an intelligent engineer capable of understanding requirements, orchestrating tools, and independently completing development tasks, providing users with end-to-end software generation capabilities. As one of the most popular AI programming products and the world’s first end-to-end AI software development agent, TRAE covers a full spectrum of development scenarios, from simple to highly complex.

We are looking for passionate and creative engineers to join us in reshaping the development paradigm and defining the future of AI-driven software engineering. We are seeking a Machine Learning Engineer to join the core R&D team of TRAE, responsible for model training, optimization, quantization, and deployment. You will work closely with top engineers and researchers to explore and implement LLM training and deployment for the software engineering, driving the continuous evolution of TRAE’s intelligent engineering capabilities.

• Design, train, and fine‑tune large language models (LLMs) that support TRAE’s core reasoning and code generation capabilities.
• Build efficient, stable, and scalable model training and evaluation pipelines.
• Collaborate with infrastructure and product teams to deploy and monitor models efficiently on GPU clusters.
• Continuously optimize models for latency, throughput, and accuracy.
• Stay up to date with and apply cutting‑edge techniques in large model optimization and inference acceleration.

• Bachelor’s degree or above in Computer Science, Electrical Engineering, Mathematics, or a related field.
• Solid foundation in machine learning, deep learning, and optimization algorithms.
• Proficiency in PyTorch or Tensor Flow, with programming skills in Python and C++/CUDA.
• Experience with large-scale distributed training, mixed‑precision training, or model parallelism.
• Hands‑on experience with model quantization, pruning, or CUDA‑based deployment optimization.
• Passionate about building efficient, production‑ready AI systems and advancing the future of AI‑driven software development.

• PhD in AI related research fields.
• Hands‑on experience in developing and deploying AI systems in a real‑world setting.

Founded in 2012, Byte Dance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including Tik Tok, Lemon8, Cap Cut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, Byte Dance has made it easier and more fun for people to connect with, consume, and create content.

Inspiring creativity is at the core of Byte Dance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As Byte Dancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an Always Day 1 mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Byte Dance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Byte Dance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.

We are passionate about this and hope you are too.

Byte Dance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at