Join 1X as a Research Engineer, Infrastructure

Targeted Start Date: Immediately

Relocation: Provided

About the Role

Are you passionate about building and maintaining infrastructure and platforms for robot learning? As a Research Engineer in Infrastructure at 1X, you'll be instrumental in scaling up data and compute engines, improving model training and inference reliability, and ensuring optimal uptime. Your role involves:

• Scaling model training and deployment.
• Managing data engines and databases.
• Developing frontends and backends.

You'll collaborate closely with other AI team members and also work independently. Success means unblocking data pipelines and compute scaling for our exponentially growing fleet of robots.

Our Mission at 1X

Since 2014, 1X has been pioneering the creation of androids designed for large-scale manufacturing to meet the global labor demand. Our mission is to create an abundant supply of physical labor through safe, intelligent androids that work alongside humans. Key products include:

• EVE: A wheeled android engineered for tasks from security to logistics.
• NEO: A bipedal android designed for household and broad deployment applications.

Our androids are programmed to understand natural language and physical space, enabling them to complete tasks in any environment.

Our Locations

We operate dual headquarters in San Francisco and Norway, with a newly renovated AI hub in Sunnyvale, California. In-person collaboration is essential for our hardware-focused environment.

Why This Job is Exciting

Joining 1X means:

• Scaling up the learning stack on state-of-the-art hardware to drive the success of robot operations.
• Building and maintaining one of the largest and growing android datasets.
• Working towards doubling robot capabilities and halving error rates each quarter.

Responsibilities

Your day-to-day responsibilities include:

• Shipping AI platforms for non-technical robot operators.
• Scaling up AI model training workloads.
• Ensuring model inference reliability.
• Building a data engine (frontend UI and backend) for model training data logging, cleaning, and labeling.
• Collaborating with the robot operations team to enhance datasets and model capabilities.

Requirements

Must-Haves:

• Bachelor’s degree in Computer Science or equivalent.
• 5+ years of professional experience in building ML infrastructure.
• Proficiency in Python and C++ or Rust.
• Experience with databases like Postgres and NoSQL.
• Ability to prototype ideas independently.
• Experience with Deep Learning Frameworks like Pytorch, TF, JAX.
• Capability to develop cost-effective solutions for production use cases.

Nice-to-Haves:

• Experience managing ML compute clusters and cloud infrastructure.
• Expertise in building high-performance software.
• Building large-scale ML models like visual foundation models, language models, and generative models.

Compensation

We offer a competitive compensation package including:

• Base salary ranging from US$105,000 to US$250,000 annually.
• Generous stock options.
• Additional benefits.

Interview Process

Introduction Stage

• 30m Recruiter Screen with Win Yu
• 45m Hiring Manager Screen with AI team

Team Interview Stage

• 90m Technical Deep-Dive conversation with the AI team

Final Interview Stage

• 15m Role Expectation Management with Eric Jang