MLOps Engineer
Trunk Tools$140,000 - $200,000/year
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Autonomous Vehicles, AI & Machine Learning, Artificial IntelligenceIndustries
Requirements
Candidates should possess a Bachelor’s or Master’s degree in Machine Learning, Computer Science, or a related field, with at least 3 years of hands-on experience utilizing Python and familiarity with deep learning frameworks such as PyTorch. Experience with distributed computing frameworks like K8s and Ray is required, along with a strong understanding of software engineering principles and a passion for self-driving technology.
Responsibilities
The Senior Software Engineer, MLOps will support the development and maintenance of an automated, distributed pipeline for training, evaluating, and deploying machine learning models to vehicles, participate in the design and development of scalable ML infrastructure utilizing K8s and Ray, implement metrics infrastructure for model introspection and performance evaluation, deploy models to vehicles and assess their performance using relevant metrics, and work closely with Machine Learning teams to enhance tools and processes throughout the ML development lifecycle.
Skills
Python
PyTorch
K8s
Ray
Deep Learning
Model Deployment
Distributed Computing
ML Infrastructure
Model Evaluation
Neural Networks
Motional
Develops fully driverless robotaxis for urban transport
About Motional
Motional develops fully driverless vehicles, specifically robotaxis, aimed at transforming urban transportation. Their all-electric robotaxis are designed to navigate complex city environments safely and efficiently. Motional partners with ride-hailing and delivery services, providing them with advanced autonomous vehicle technology to enhance their operations and reduce costs. A unique aspect of Motional's service is its Command Center, which allows for real-time tracking of each robotaxi, enabling human agents to monitor performance and ensure passenger safety. Unlike many competitors, Motional focuses on integrating its vehicles into existing mobility networks, making driverless technology accessible and reliable. The company's goal is to make autonomous vehicles a safe and integral part of urban transportation.
Boston, MassachusettsHeadquarters
2020Year Founded
$5,000MTotal Funding
GROWTH_EQUITY_NON_VCCompany Stage
Robotics & Automation, Automotive & TransportationIndustries
1,001-5,000Employees