Senior Software Engineer, Machine Learning
Standard Bots$300,000 - $350,000/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Robotics & Automation, AI & Machine LearningIndustries
Requirements
Candidates should have courage and grit to lead the machine learning team and solve complex problems in embodied AI. A minimum of 6 years of experience in machine learning applied to robotics is required, along with proficiency in deep learning frameworks such as Pytorch, JAX, or TensorFlow. Experience with cloud computing platforms like AWS, Azure, or GCP 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 environments. A PhD or equivalent experience in computer science, robotics, machine learning, or a related field is a plus.
Responsibilities
The Lead Robotics Machine Learning Engineer will lead the design and development of the Persona ML software stack and support its application in various robotic functions. They will craft a comprehensive plan for developing machine learning models and stay updated with the latest research. The role involves working with the team to develop, test, and deploy software and machine learning pipelines, as well as monitoring and evaluating model performance in real-world applications. Additionally, the engineer will manage partnerships with ML collaborators and lead the growth of the machine learning team.
Skills
Machine Learning
Robotics
Pytorch
JAX
TensorFlow
AWS
Azure
GCP
Deep Learning
Data Collection
Model Development
Software Development
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