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Helix Engineer Jobs (NOW HIRING)

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Helix AI Engineer, Pretraining

San Jose, CA

$200K - $400K/yr

We are looking for a Helix AI Engineer, Pretraining to build large-scale foundation models that learn from diverse data sources including text, images, video, and robot-collected experience. This ...

Figure

Helix AI Engineer, Perception

San Jose, CA · On-site

They are seeking Perception Engineers for their Helix team to empower humanoid robots in performing dynamic operations in real-world environments. Responsibilities : • Develop perception systems ...

Figure

Helix AI Engineer, Pretraining

San Jose, CA · On-site

$200K - $400K/yr

We are looking for a Helix AI Engineer, Pretraining to build large-scale foundation models that learn from diverse data sources including text, images, video, and robot-collected experience. This ...

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Helix Engineer information

What is a helix engineer?

Helix Engineers are professionals who specialize in designing, developing, and maintaining software solutions using the Helix framework, often associated with Sitecore Helix architecture. They focus on creating modular, maintainable, and scalable web applications by implementing best practices and design principles defined by Helix. Their role involves collaborating with development teams, ensuring code quality, and supporting the overall software lifecycle. Helix Engineers are typically skilled in .NET, C#, and web development technologies.

What skills and qualifications are needed to thrive as a helix engineer?

To thrive as a Helix Engineer, you need a strong background in software engineering, cloud infrastructure, and experience with version control and automation, often supported by a degree in computer science or related fields. Familiarity with Perforce Helix Core, continuous integration/continuous deployment (CI/CD) tools, and scripting languages like Python or Bash is typically required. Exceptional problem-solving skills, attention to detail, and effective communication help you stand out in this collaborative and technical environment. These skills and qualities are crucial for maintaining robust version control systems, ensuring seamless workflows, and supporting development teams efficiently.

What challenges do helix engineers face when integrating new genetic sequencing technologies into existing workflows?

Helix Engineers often encounter challenges when incorporating new genetic sequencing technologies, such as ensuring data compatibility with legacy systems, validating accuracy and reliability of results, and maintaining regulatory compliance. Collaboration with bioinformatics teams and IT specialists is essential to streamline data pipelines and troubleshoot integration issues. Staying up-to-date with the rapidly evolving sequencing landscape also requires continuous learning and adaptation to new protocols and tools.

What are popular job titles related to Helix Engineer jobs?

For Helix Engineer jobs, the most frequently searched job titles are:

Infographic showing various Helix Engineer job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Helix AI Engineer, Pretraining

San Jose, CA

Figure
See more jobs at Figureexternal

$200K - $400K/yr

Full-time

Re-posted 3 days ago

Key responsibilities

  • Design and train large-scale foundation models across multimodal data (e.g., text, vision, and robot data)

  • Develop pretraining strategies that improve generalization, reasoning, and transfer to downstream embodied tasks

  • Collaborate closely with video, generative, agent, and robot learning teams to integrate pretrained models into the autonomy stack

Job description

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration.

Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Pretraining to build large-scale foundation models that learn from diverse data sources including text, images, video, and robot-collected experience.

This role focuses on advancing pretraining methods that enable generalization, reasoning, and adaptability-forming the backbone for downstream capabilities in perception, planning, and action.

Responsibilities
  • Design and train large-scale foundation models across multimodal data (e.g., text, vision, and robot data)
  • Develop pretraining strategies that improve generalization, reasoning, and transfer to downstream embodied tasks
  • Explore and implement architectures including transformer-based and emerging foundation model paradigms
  • Work on scaling laws, dataset mixture design, and training dynamics for frontier models
  • Build and optimize large-scale distributed training pipelines across multi-node GPU clusters
  • Collaborate closely with video, generative, agent, and robot learning teams to integrate pretrained models into the autonomy stack
  • Design evaluation frameworks to measure reasoning ability, robustness, and cross-domain generalization
  • Contribute to post-training approaches including fine-tuning, alignment, and model adaptation
Requirements
  • Experience training large-scale foundation models or working on pretraining for LLMs or multimodal systems
  • Strong understanding of modern deep learning architectures, especially transformers
  • Experience with large-scale distributed training and optimization
  • Proficiency in Python and deep learning frameworks such as PyTorch
  • Strong experimental rigor and ability to iterate 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 technical problems
Bonus Qualifications
  • Experience working on frontier foundation models at companies such as Anthropic, OpenAI, Google DeepMind, or xAI
  • Experience with multimodal pretraining (vision-language or vision-language-action models)
  • Background in scaling laws, dataset curation, and large-scale data mixture optimization
  • Experience with post-training techniques such as RLHF, reward modeling, or alignment methods
  • Familiarity with embodied AI, robotics, or real-world deployment constraints
  • Publication record in machine learning, NLP, or multimodal AI

The US base salary range for this full-time position is between $200,000 - $400,000

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

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