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60 Bytedance Jobs Hiring Near You

Experience at leading AI labs such as OpenAI, Google DeepMind, Google, ByteDance, Midjourney, or Adobe * Experience with large-scale dataset construction and filtering for video pretraining

Experience at leading AI labs such as OpenAI, Google DeepMind, Google, ByteDance, Midjourney, or Adobe * Experience with large-scale dataset construction and filtering for video pretraining

Software Engineer (Full Stack)

Lehi, UT · Hybrid

$100K - $140K/yr

Grow With Us We are a team from UC Berkeley, Cornell, SJTU, Cambridge, NUS, with broad industry experiences from Tencent, Alibaba, Amazon, ByteDance, and more. Our engineering team is composed of ...

Software Engineer (Full Stack)

Lehi, UT · Hybrid

$100K - $140K/yr

Grow With Us We are a team from UC Berkeley, Cornell, SJTU, Cambridge, NUS, with broad industry experiences from Tencent, Alibaba, Amazon, ByteDance, and more. Our engineering team is composed of ...

Research Engineer

San Francisco, CA · On-site

$165K - $353K/yr

Raised an unannounced round from investors behind Google Deepmind, Bytedance, Anduril, Together AI and Polymarket, angels from OpenAI, Anthropic, xAI, Deepmind, Cognition, & large content creators.

Research Engineer

San Francisco, CA · On-site

$200K - $350K/yr

Raised an unannounced round from investors behind Google Deepmind, Bytedance, Anduril, Together AI and Polymarket, angels from OpenAI, Anthropic, xAI, Deepmind, Cognition, & large content creators.

Our OSS RAPIDS Spark library is integrated with on-premise and cloud services such as AWS EMR, Databricks, Google Dataproc, Oracle Cloud Data Flow, Bytedance Volcengine, Tencent Cloud and Cloudera.

Our OSS RAPIDS Spark library is integrated with on-premise and cloud services such as AWS EMR, Databricks, Google Dataproc, Oracle Cloud Data Flow, Bytedance Volcengine, Tencent Cloud and Cloudera.

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Bytedance Jobs Information

Infographic showing various job openings at Bytedance in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

Helix AI Engineer, Video Pretraining

Figure

San Jose, CA • On-site

Full-time

Re-posted 10 days ago


Job description

Job Summary:
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. They are seeking a Helix AI Engineer, Video Pretraining to lead the development of large-scale video foundation models that enable capabilities in perception, prediction, and embodied reasoning.
Responsibilities:
• Design and train large-scale video foundation models on diverse datasets spanning internet-scale video and robot-collected data
• Develop pretraining strategies that capture temporal dynamics, motion, and object interaction from raw video sequences
• Build models that learn transferable representations for downstream tasks such as perception, tracking, prediction, and control
• Explore architectures for video understanding and generation, including transformer-based and diffusion-based approaches
• Implement efficient data pipelines and training strategies for high-throughput video ingestion and large-scale distributed training
• Optimize model performance across compute, memory, and training efficiency constraints
• Collaborate closely with generative modeling, agent, and robot learning teams to integrate pretrained models into the autonomy stack
• Design evaluation frameworks and benchmarks to measure temporal understanding, prediction quality, and generalization
Qualifications:
Required:
• Experience training large-scale models on video data or other high-dimensional sequential modalities
• Strong understanding of modern deep learning architectures for video, vision, or multimodal systems
• Experience with large-scale pretraining, including dataset curation, training dynamics, and scaling laws
• Proficiency in Python and deep learning frameworks such as PyTorch
• Experience working with distributed training systems and large GPU clusters
• Strong experimental rigor and ability to iterate quickly on model design and training strategies
• Solid software engineering skills and ability to build scalable, reliable systems
• Ability to operate independently and drive ambiguous, high-impact research directions
Preferred:
• Experience working on frontier video models or multimodal foundation models
• Background in video diffusion, autoregressive video modeling, or world models
• Experience at leading AI labs such as OpenAI, Google DeepMind, Google, ByteDance, Midjourney, or Adobe
• Experience with large-scale dataset construction and filtering for video pretraining
• Familiarity with robotics, embodied AI, or learning from egocentric / first-person video
• Publication record in machine learning, computer vision, or multimodal AI
Company:
Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded in 2022, the company is headquartered in San Jose, USA, with a team of 201-500 employees. The company is currently Growth Stage.