The role involves exploring ideas in deep learning, managing machine learning project life cycles, and collaborating on autonomous driving technology.
Company Introduction
Key ResponsibilitiesAt Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.
- Explore and propose new ideas using your knowledge and experience in deep learning, neural networks and large foundation models in autonomous driving including: end-to-end object detection, tracking and prediction, end-to-end planning and control, and end-to-end autonomous driving system, end-to-end online mapping. SLAM in localization and etc..
- Work on the entire life cycle of machine learning projects from data analysis, model experimentations to performance metrics verifications, and understand the entire workflow in great detail.
- Be exposed to many cross-team projects and collaborate with the product, simulation and other sibling autonomous driving algorithm teams to extend machine learning technology to all components.
- Have an advanced degree (Ph.D or Master’s) in related fields of study: computer science, computer engineering, robotics, mathematics, physics, and etc.
- Have in-depth knowledge and extensive experience in machine learning, and/or computer vision, modern transformer architecture, and employ SOTA techniques of machine learning.
- Be familiar with PyTorch, TensorFlow and other machine learning platforms and tools.
- Have strong motivation to work independently in a fast paced environment while collaborating with other teams on more complex and larger projects.
- Have a proven track record of research publications in top conferences and/or journals as the first author.
- Have knowledge and experience of generative models, model distillation, or model inference acceleration (e.g. TensorRT) techniques.
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Senior Revenue Data & Analytics Specialist is responsible for revenue forecasting, data management, ETL processes, analytics, and cross-functional collaboration to support enterprise operations.
Top Skills:
ETLExcelPower BIPythonQualtricsSalesforceSAPSmartsheetSQL
.png)
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
As a CRM Product Owner, you will enhance Block's B2B offerings by managing product roadmaps, automating business processes, and improving user efficiency on various sales technologies.
Top Skills:
ClaudeCodexSalesforce
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Drive growth and retention for Square's Retail Strategic Account Management program by advising retail executives, designing solutions, and managing key accounts.
Top Skills:
PaymentsPos TechnologySaaS
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
