Senior Software Engineer, Machine Learning
Standard Bots$300,000 - $350,000/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Robotics & Automation, AI & Machine LearningIndustries
Requirements
Candidates should have courage and grit to tackle some of the hardest problems in embodied AI. A minimum of 3 years of experience in machine learning applied to robotics is required, along with experience in deep learning frameworks such as Pytorch, JAX, or TensorFlow. Familiarity with cloud computing platforms like AWS, Azure, or GCP for model development and data storage is essential. A strong understanding of state-of-the-art research in robot learning and the challenges of deploying neural network models in real-world scenarios is necessary. Candidates should also be capable of writing high-quality software and thrive in fast-paced, ambiguous environments.
Responsibilities
The Robotics Machine Learning Engineer will collaborate on the design and development of the Persona ML software stack, supporting its application in manipulation, navigation, locomotion, and perception. They will work with the ML team to create and execute a comprehensive plan for developing machine learning models while staying updated on the latest research. The engineer will also develop, test, and deploy software, machine learning pipelines, and data collection pipelines, monitor and evaluate the performance of models in real-world settings, and collaborate with universities and other companies to enhance the team.
Skills
Machine Learning
Robotics
Pytorch
JAX
TensorFlow
Deep Learning
Data Collection
Model Development
Software Development
Manipulation
Navigation
Locomotion
Perception
Persona
Identity verification tools for online security
About Persona
Persona focuses on making online identity verification more user-friendly and secure. The company provides businesses with tools to confirm the identities of their users, which helps create a safer online environment. Their products include Web and iOS SDKs that allow companies to easily integrate verification processes into their platforms. These tools operate in two modes: production mode for live data and sandbox mode for testing with sample data. Persona differentiates itself from competitors by emphasizing reliability and uptime, which are critical for businesses that need real-time verification. The company's goal is to humanize the online verification process while ensuring that businesses can trust the identities of their users.
San Francisco, CaliforniaHeadquarters
2018Year Founded
$211.6MTotal Funding
SERIES_CCompany Stage
Enterprise Software, CybersecurityIndustries
201-500Employees