1X

AI Residency

PALO ALTO, CAPosted 30+ days ago

Job summary

  • Job post source

    This job is directly from 1X

  • Job overview

    The AI Residency at 1X is a fixed-term role focused on advancing humanoid robot AI by developing full-stack infrastructure for simulation, data management, and learning, contributing to cutting-edge robotics products.

  • Responsibilities and impact

    The role involves integrating AI research into products, building evaluation benchmarks, developing data management tools, shipping new robot capabilities, and tackling complex technical challenges in robotics.

  • Compensation and benefits

    The compensation ranges from $8,000 to $12,000 per month, with relocation provided and an emphasis on in-person work at office locations.

  • Experience and skills

    Candidates should have a Bachelor's degree in Computer Science or equivalent, proficiency in Python and deep learning frameworks, and the ability to prototype independently; robotics experience and published research are bonuses.

  • Career development

    The role offers experience working on challenging robotics problems with opportunities to contribute to both research and operational scaling, suitable for graduate-level students or exceptional candidates.

  • Work environment and culture

    1X values intense work ethic, collaboration in office settings, and merit-based rewards in a fast-paced, innovative environment focused on humanoid robotics.

  • Company information

    Founded in 2015, 1X develops advanced humanoid robots for household use with vertical integration of hardware, software, and AI, aiming to create abundant labor via intelligent robots.

  • Team overview

    The AI team works on full-stack infrastructure for AI in humanoid robots, handling large datasets and deploying robots at customer sites, emphasizing research and product integration.

  • Job location and travel

    The position requires in-person presence at 1X office locations with relocation support provided.

  • Application process

    Applicants are encouraged to apply even if unsure about qualifications, highlighting openness to graduate students and exceptional candidates.

  • Unique job features

    This role is distinct for its fixed-term AI residency structure, tackling large-scale humanoid robot AI challenges with access to the largest humanoid robot dataset ever collected.

Company overview

1X, formerly known as Halodi Robotics, is a robotics company specializing in the development of humanoid robots designed to assist in various industries, including healthcare, security, and logistics. The company generates revenue through the production, sale, and leasing of its advanced robotic systems, as well as through partnerships and service contracts. Founded in Norway, 1X has gained recognition for its innovative use of robotics technology, particularly its focus on creating robots that can perform complex tasks safely and efficiently in human environments. The company aims to revolutionize human-robot interaction by prioritizing safety, adaptability, and functionality in its designs.

How to land this job

  • Position your resume to highlight your experience with deep learning frameworks like PyTorch, TensorFlow, or JAX, and your ability to work with large Python codebases, emphasizing testing and rapid prototyping skills.

  • Focus on showcasing any projects or research involving AI, robotics, or large-scale data management, especially those that demonstrate tackling complex technical challenges independently.

  • Apply through 1X's corporate career site and LinkedIn, as well as other reputable job boards where 1X may post AI Residency roles to maximize your application reach.

  • Connect with AI and Robotics team members at 1X on LinkedIn; use ice breakers such as commenting on recent 1X robotics advancements or asking about their experience scaling AI in humanoid robots to start conversations.

  • Optimize your resume for ATS by including keywords from the job description like 'AI Residency,' 'simulation infrastructure,' 'data engine,' 'deep learning,' 'robotics,' and 'Python testing' to improve screening success.

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