Faraday & Future Inc.

Faraday & Future Inc.

Sr Manager, Data Factory Operation

El Segundo, California, United States · Senior

Sponsorship not specified$180k-$200kDetected 28 days ago
Machine LearningData EngineeringData ScienceMLOpsComplianceProject ManagementOperations ManagementProcess ImprovementRoboticsMechanical DesignSensorsAR/VRCommunicationProblem SolvingLean Manufacturing

About the role

  • As the Senior Manager of Data Factory Operation, you will lead the mid-end functions of Data Factory, overseeing both centralized and decentralized data production pipelines.
  • You are responsible for the end-to-end execution of large-scale data collection-ranging from environment design to real-world robot data submission-to support the training of Embodied AI (EAI) models.

Responsibilities

  • Site Infrastructure & Layout Design (Centralized Operations)
  • On-demand Environment Construction: Direct the design, renovation, and construction of physical data collection sites based on specific project needs.
  • Scenario Layout: Manage the setup of diverse scenarios, including retail (supermarket shelves), light manufacturing (electronics assembly), and industrial production lines (conveyor belts).
  • Workforce Management: Lead the global contributor network, including the onboarding, contracting, and registration of decentralized data collectors.
  • SOP Development: Maintain and update the "Data Collector User Manual," covering VR teleoperation instructions and sensor calibration protocols.
  • Standardization: Design and enforce action standards and acceptance criteria for all collected data.
  • Client Support & Technical Liaison

Requirements

  • Bachelor's or Master's degree in Robotics, Computer Science, Mechanical Engineering, Industrial Engineering, Data Science, or a related technical field.
  • 10+ years of experience in large-scale operations, robotics data collection, AI/ML data operations, manufacturing operations, operations management or aftersales.
  • Proven experience managing complex data production pipelines across centralized and distributed operational models.
  • Strong understanding of Embodied AI (EAI), robotics systems, teleoperation workflows, sensor systems, and multimodal data collection processes.
  • Demonstrated ability to scale high-throughput operations involving large device fleets, multi-shift execution, and geographically distributed contributors.
  • Familiarity with robotics hardware and sensors, including RGB/RGB-D cameras, IMUs, LiDAR, VR teleoperation systems, and edge compute devices.
  • Strong knowledge of data quality requirements, including video resolution standards, synchronization validation, calibration procedures, and dataset integrity checks.
  • Experience with data annotation, preprocessing, clipping, filtering, and dataset acceptance workflows for AI/ML training pipelines.
  • Strong project management and cross-functional coordination skills, with the ability to align engineering, operations, and client delivery teams.

Nice to have

  • Technical Knowledge: Familiarity with data quality control, VR Teleoperation, and multi-modal data formats (MCAP, HDF5).
  • Experience working with humanoid robots, autonomous mobile robots (AMRs), or embodied AI model training datasets.
  • Familiarity with synthetic data generation, simulation environments, or robotics benchmarking methodologies.
  • Experience managing global contributor or crowdsourcing networks for AI data collection initiatives.
  • Knowledge of manufacturing, warehouse automation, or industrial engineering workflows.
  • Experience with cloud-based data infrastructure, data pipelines, or MLOps environments.
  • PMP, Lean Six Sigma, or other operations/project management certifications are a plus.
  • Casual dress code + relaxed work environment

Compensation

  • 401(k) options
  • Casual dress code + relaxed work environment
  • Culturally diverse, progressive atmosphere
  • ($180,000 - $200,000 DOE), plus benefits and incentive plans

Benefits

  • Healthcare + dental + vision benefits (Free for you/discounted for family)
  • Perks + Benefits

Company info

  • Faraday Future (FF) is a California-based embodied artificial intelligence ecosystem company, leveraging the latest technologies and world's best talent to realize exciting new possibilities in mobility and robotics.
  • We're producing user-centric, technology-first vehicles and robots to establish new paradigms in human-AI interaction.
  • We're not just seeking to change how our cars and robots work - we're seeking to change the way we drive and interact with machines.
  • At FF, we're creating something new, something connected, and something with a true global impact.
  • Founded in 2014, the Company's mission is to disrupt the automotive and technology industries by creating user-centric, technology-first experiences.
  • The Company aims to leverage the latest technologies and world's best talent to realize exciting new possibilities across all of these lines.
  • FF is committed to redefining mobility through AI innovation.
  • Join us in shaping the future of intelligent transportation and technology by creating something new, something connected, and something with a true global impact.
  • The Company, together with its controlled subsidiaries, operates across multiple technology-driven areas, including AI electric vehicles, robotics, and its crypto business (AIXC), all under its upgraded Global EAI Industry Bridge Strategy, marking the beginning of a new chapter in AI mobility and Web3 integration.
  • Faraday Future's automotive business exemplifies its vision for luxury, innovation, and performance, while its FX strategy aims to introduce mass production models equipped with state-of-the-art luxury technology derived from the FF brand, targeted towards a broader market with middle-to-low price range offerings.

Equal opportunity

  • equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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