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    Research Engineer, Robotics Learning - California, United States - 1X Technologies Cable Company

    1X Technologies Cable Company
    1X Technologies Cable Company California, United States

    1 week ago

    Default job background
    Description

    Targeted start date:
    Immediately.
    Relocation provided.


    The Research Engineer, Robotics Learning role involves developing full-stack infrastructure for simulation, data management, and learning as well as developing algorithms to improve sample-efficiency of our visuomotor policies.

    We are looking for senior-level candidates who have experience training deep neural networks for manipulation, navigation, and locomotion on real robot hardware.

    1X mission is to create an abundant supply of physical labor through safe, intelligent androids that work alongside humans.

    Since 2014, we've designed our products with large-scale manufacturing in mind, so we can produce androids at a high enough volume to meet the world's labor demand.

    Our wheeled Android EVE, is engineered to work with you, from guarding to logistics, and our bipedal model, NEO, is designed to become a household android with broad deployment in various applications.

    Our products will understand both natural language and physical space, so they can complete useful tasks in any environment.

    We've established our dual HQ in San Francisco and Norway. Our positions require in-person presence to ensure effective execution and seamless collaboration in our hardware-focused environment. We value passion for our work and encourage candidates who share our dedication to join our team.
    Why this job is exciting

    Your role on the team will be to scale up imitation learning and sim2real algorithms on state-of-the-art hardware

    You will get to deploy code to many robots at customer sites
    We aim to (1) double the number of tasks the robot can perform and (2) half the error rate on existing tasks, quarter over quarter

    The team works closely together to scale up a single approach to a production-ready system,rather than publishing research papers
    Responsibilities

    Day to day:
    scale up datasets used for training end-to-end navigation and manipulation and locomotion
    Extend the "data engine" (frontend UI and backend) to review logs, clean, and label data
    Train and evaluate mobile manipulation policiesin simulation
    Minimize the sim-to-real gap to reduce development iteration time
    Work with ourrobot operations teamto scale up our datasets and model capabilities

    REQUIREMENTS
    Bachelor's degree in Computer Science or equivalent
    5+ years of experience in the field of robotic machine learning
    Published research in top ML conferences (CVPR, ICML, ICLR, etc.)
    Proficiency working with large codebases in Python, including testing
    Ability to rapidly prototype ideas in code in an independent manner

    Familiaritywith linear algebra and supervised machine learning
    Experience with Deep Learning Frameworks (Pytorch, TF, JAX, etc.)

    Qualities we're looking for:
    Fast thinker and learner
    Capable of performing world-class machine learning research, but also able to switch to working ondata infra and productionizingof the fleet learning infrastructurewhen needed
    Good judgement in scoping research problems and infrastructure
    Perseverance and attention to detail

    Added Bonuses:
    ROS/ROS2 experience
    Have built large programming projects on your own for fun (e.g. open source projects)
    Training large-scale ML models such as visual foundation models, large language models, pixel-level generative models

    You spend time readingr/LocalLLaMA/ and tinkering with open source LLM technology
    Compensation

    We offer a total compensation package including base salary fromUS$105,000 to US$250,000 annually, with generous stock options and other benefits.

    Introduction Stage - we have initial conversations to get to know you better
    [30m] Recruiter Screen with Moe Thitsa
    [45m] Hiring Manager Screen with aAI team

    Team Interview Stage - we then dive into your experience in more depth and introduce you to members of the team.

    This is also the stage where you will do your take-home challenge

    [90m] Technical Deep-Dive conversation with the AI team
    Final Interview Stage - we move you to our final round
    [15m] Role expectation management with Eric Jang
    [30m] Conversation with CEO Bernt Øivind Børnich
    Not sure if this is you?

    If you're excited about this role, but you're not sure if you qualify, apply anyway You may be just the right candidate for this or other roles.

    Location
    This position is based in Sunnyvale, California, USA, at our newly renovated AI headquarters. We offer visa sponsorship for exceptional candidates.

    Joining our team means becoming a valued member of one of the biggest brands in humanoid robotics, where you'll play a part in shaping the future of general purpose androids.

    A value driven team
    These are the ideas that express our team's culture and how we work:

    Be Nice
    Collaboration is our driving force. Our team creates an open, trusting environment where everyone can be their most creative.

    Stay Smart
    A world-changing team needs the brightest minds in every discipline. This is where people come to work, learn, and grow to their full potential.

    Make History
    Everything we do gets us closer to one ambitious vision: general-purpose androids helping people around the globe. We believe what we build today will impact generations.

    1X is an inclusive and equal-opportunity employer that values diversity. We consider all qualified applicants regardless of race, religion, gender, age, sexual orientation, disability, or any other protected class.

    If you have a disability or special need that requires accommodation, please don't hesitate to let us know during the interview process.

    We will do our best to accommodate your needs.

    Discover life in Norway, for those considering relocation
    #J-18808-Ljbffr


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