Staff Software Engineer - Machine Learning Platform

Reposted 8 Days Ago
Fremont, CA
In-Office
220K-285K Annually
Mid level
Artificial Intelligence • Software • Transportation
The Role
Lead the development and optimization of the machine learning platform, improving infrastructure and collaborating with teams to deploy models.
Summary Generated by Built In

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally and is listed publicly at NASDAQ.

Responsibility
  • Lead the development, optimization and productionization of the machine learning platform
  • Improve the scalability and efficiency of the training infrastructure that enable a fast research to production lifecycle
  • Provide tooling to help ML practitioners evaluate, debug, and improve ML algorithms, data and hyperparameters
  • Develop efficient model deployment frameworks that can put large deep learning models on the compute with limited GPU resources on the vehicle
  • Collaborate with and support other teams, including perception, planning and data, to facilitate their model developments and deployments 

Requirements
  • BS, MS or PhD in Computer Science, similar technical field of study, or equivalent practical experience
  • Experience building full ML model lifecycle solutions - from feature engineering to training, validation, deployment and monitoring.
  • Extensive experience programming in Python or C++.
  • Extensive hands-on deep learning experiences
  • Extensive hands-on experiences in building deep learning infrastructure
  • Experience with machine learning compiler / runtime or GPU accelerator
  • Passionate in autonomous driving

Preferred Experience

  • Experience in building the infrastructure for large language or vision models
  • Experience building and architecting large-scale, production quality backend systems, especially in applied machine learning or data pipeline
  • Familiar with parallel / distributed systems
  • Experiences in tech leading a team to launch projects
Compensation and Benefits

Base Salary Range: $220,000 - $285,000 Annually

Compensation may vary outside of this range depending on many factors, including the candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units.

Also, we provide the following benefits to the eligible employees:

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (Traditional and Roth 401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Free Food & Snacks

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Top Skills

C++
Python
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The Company
HQ: Fremont, CA
512 Employees
Year Founded: 2016

What We Do

Pony AI Inc. (“Pony.ai”) is a global leader in the large-scale commercialization of autonomous mobility.
Leveraging its vehicle-agnostic Virtual Driver technology, full-stack autonomous driving technology that seamlessly integrates its proprietary software, hardware, and services, Pony.ai is developing a commercially viable and sustainable business model that enables the mass production and deployment of vehicles across transportation use cases.
Founded in 2016, Pony.ai has expanded its presence across China, Europe, East Asia, the Middle East, and other regions, ensuring widespread accessibility to its advanced technology.
Pony.ai is among the first in China to obtain licenses to operate fully driverless vehicles in all four Tier-1 cities in China (Beijing, Guangzhou, Shanghai, Shenzhen) and has begun to offer public-facing, fare-charging robotaxi services without safety drivers in Beijing, Guangzhou and Shenzhen. Pony.ai operates a fleet consisting of over 250 robotaxis.
To date, Pony.ai has driven nearly 45 million autonomous testing and operation kilometers on open roads worldwide.

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