Sr/Staff ML Engineer, Manipulation
Diligent RoboticsSalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, Technology, RoboticsIndustries
Requirements
- Not specified
Responsibilities
- Ensure that robotic systems operate successfully in customer use cases via teleoperation with a focus on data gathering and data generation
- Run robotic systems continuously throughout the day, identifying bugs and technical issues and generating collected data for ongoing improvements
- Operate teleoperation equipment as needed to guide the robot through specific behaviors
- Follow proper equipment and robot maintenance procedures, including setup and operation
Skills
Telerobotics
Robotics
AI Training
Data Annotation
Workflow Automation
Quality Control
AI Models
Labelbox
Provides data labeling solutions for AI
About Labelbox
Labelbox offers data labeling solutions for artificial intelligence applications, enabling businesses to label images, videos, text, and documents efficiently. Their platform allows users to create workflows that manage labeling tasks, which is crucial for industries like agriculture and healthcare that require large-scale data labeling for AI model training. Operating on a software-as-a-service (SaaS) model, Labelbox generates revenue through subscription fees and additional workforce services. The company's goal is to enhance AI development by providing high-quality data labeling solutions that streamline workflows.
San Francisco, CaliforniaHeadquarters
2018Year Founded
$183.7MTotal Funding
SERIES_DCompany Stage
Enterprise Software, AI & Machine LearningIndustries
201-500Employees
Benefits
Competitive remuneration
Flexible vacation policy (we don't count PTO Days)
401k Program
College savings account
HSA
Daily lunches paid for by the company (especially convenient while working from home)
Virtual wellness and guided meditation programs
Dog-friendly office
Regular company social events (happy hours, off-sites)
Professional development benefits and resources
Remote friendly (we hire in-office and remote employees)
Risks
Competition from Google's Gemini platform may attract potential Labelbox clients.
Rapid AI advancements by tech giants could outpace Labelbox's current offerings.
Reliance on partnerships like Google Cloud poses risks if these change or dissolve.
Differentiation
Labelbox offers advanced data labeling solutions for AI applications across multiple industries.
The platform supports complex NLP use cases, attracting tech and communication sectors.
Labelbox's SaaS model includes workforce augmentation services for scalable data labeling.
Upsides
Integration with Google Cloud enhances Labelbox's AI capabilities and client offerings.
Auto-computed metrics reduce error correction time and improve model performance.
Opening a London office facilitates European market expansion and better client service.
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