Easy Apply
Easy Apply
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.
Top Skills
Deep Learning
End-To-End Object Detection
End-To-End Planning
Large Foundation Models
Neural Networks
Prediction
PyTorch
Slam
Sota Techniques
TensorFlow
Tensorrt
Tracking
Similar Jobs
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Senior ML/AI Modeler will automate risk investigations using AI, improve productivity through technology, and deploy ML systems at scale, while collaborating across teams to enhance performance and decision-making.
Top Skills:
AirflowAWSGCPLlmsPythonPyTorchSnowflake
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
The role involves developing and deploying AI systems to automate risk and compliance processes, and driving strategic initiatives across teams to enhance productivity and decision-making.
Top Skills:
AirflowAWSGCPLlmsMlPythonPyTorchSnowflake
AdTech • Consumer Web • Digital Media • eCommerce • Marketing Tech
Design and implement scalable mobile advertising experiences using React Native and Google Mobile Ads SDK. Translate revenue requirements into ad implementations, support native/interstitial/rewarded formats, manage ad configuration/loading/display, ensure performance and user experience, and collaborate with stakeholders while guiding engineering peers on consent management and programmatic advertising.
Top Skills:
AndroidAndroid Development ToolsConsent ManagementGitGoogle Mobile Ads SdkHeader BiddingIab StandardsiOSJavaJIRAKotlinProgrammatic AdvertisingReact NativeSwiftThird-Party ApisTypescriptXcode
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center



