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    Research Engineer, Simulation - Sunnyvale, United States - Type 1 Ventures

    Type 1 Ventures
    Type 1 Ventures Sunnyvale, United States

    3 weeks ago

    Default job background
    Description

    Targeted start date:
    Immediately. Relocation provided.

    Research Engineers in simulation are generalists who build the simulation stack and close the sim-to-real gap.

    A typical day involves building contact-rich physics simulation, scaling up reinforcement learning algorithms, or solving the sim-to-real gap in the visual or physics domains.

    You will own simulation and focus on making simulation as widely used as possible within the company. By making simulation a trusted proxy of the real world, you will drive AI model evaluation and iteration speed. You will work closely with other AI team members and also develop independently.

    1X's 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 build ML robotics simulation and close the sim-to-real gap

    You will work across the AI stack and solve gaps in model training and inference

    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 prioritize direction and scale up a single approach to a production-ready system

    Responsibilities

    Day to day:
    ship AI stack for non-technical robot operators, scale up AI model training workloads, and own model inference reliability

    Bring real-world tasks and projects into simulation via real-to-sim

    Build the data engine (frontend UI and backend) to log, clean, and label data for foundation model training

    Work with our robot operations team to scale up our datasets and model capabilities

    Must-Haves

    Bachelor's degree in Computer Science or equivalent

    3+ years of professional, full-time experience building simulation

    Experience with physical simulators (Pybullet, IssacSim, Mujoco, etc.) and training policies in simulation

    Experience with physics simulation (contact dynamics, system identification, physics engines)

    Experience learning-based approaches to close the sim-to-real gap (domain adaptation, randomization)

    Experience generating simulated assets and environments (Blender, Maya)

    Ability to rapidly prototype ideas in code in an independent manner

    Published research in top Simulation or ML conferences (SIGGRAPH, NeurIPS, CoRL, RSS, etc.)

    Nice-to-haves

    Experience with high-fidelity, real-time rendering

    Experience with GPU simulation

    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

    Have implemented highly performant software

    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.

    Interview process

    Introduction Stage - we have initial conversations to get to know you better

    [30m] Recruiter Screen with Win Yu
    [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.

    We're excited to have you on board

    #J-18808-Ljbffr
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