Pony.ai
Staff Software Engineer - Machine Learning Platform
Pony.ai, Fremont, California, us, 94537
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 15 million miles of autonomous driving globally.
Responsibility
Lead the development, optimization and productionization of the machine learning platformImprove the scalability and efficiency of the training infrastructure that enable a fast research to production lifecycleProvide tooling to help ML practitioners evaluate, debug, and improve ML algorithms, data and hyperparametersDevelop efficient model deployment frameworks that can put large deep learning models on the compute with limited GPU resources on the vehicleCollaborate with and support other teams, including perception, planning and data, to facilitate their model developments and deploymentsRequirements
BS, MS or PhD in Computer Science, similar technical field of study, or equivalent practical experienceExperience 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 experiencesExtensive hands-on experiences in building deep learning infrastructureExperience with machine learning compiler / runtime or GPU acceleratorPassionate in autonomous drivingPreferred Experience
Experience in building the infrastructure for large language or vision modelsExperience building and architecting large-scale, production quality backend systems, especially in applied machine learning or data pipelineFamiliar with parallel / distributed systemsExperiences in tech leading a team to launch projectsCompensation 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 DisabilityFree Food & Snacks
Responsibility
Lead the development, optimization and productionization of the machine learning platformImprove the scalability and efficiency of the training infrastructure that enable a fast research to production lifecycleProvide tooling to help ML practitioners evaluate, debug, and improve ML algorithms, data and hyperparametersDevelop efficient model deployment frameworks that can put large deep learning models on the compute with limited GPU resources on the vehicleCollaborate with and support other teams, including perception, planning and data, to facilitate their model developments and deploymentsRequirements
BS, MS or PhD in Computer Science, similar technical field of study, or equivalent practical experienceExperience 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 experiencesExtensive hands-on experiences in building deep learning infrastructureExperience with machine learning compiler / runtime or GPU acceleratorPassionate in autonomous drivingPreferred Experience
Experience in building the infrastructure for large language or vision modelsExperience building and architecting large-scale, production quality backend systems, especially in applied machine learning or data pipelineFamiliar with parallel / distributed systemsExperiences in tech leading a team to launch projectsCompensation 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 DisabilityFree Food & Snacks