Lead Machine Learning Engineer managing ML Ops and technical leadership at Wiremind, a transport technology company optimizing capacity for clients like SNCF and United Airlines.
NV
Hybrid Senior Machine Learning Engineer, Perception - Autonomous Driving
Posted 5 days ago
About the role
- Senior Perception Engineer developing AI solutions for autonomous driving at NVIDIA. Focused on creating innovative deep learning models and data-driven perception systems.
Responsibilities
- Designing end2end solutions for Perception and AV stack to enable road network detections across various driving environments from complex intersections to rural curvy roads to multi-level highways
- Applied research and development of innovative deep learning models for lane graph construction, road boundary detection, traffic element recognition, and other static-world tasks
- Develop generalizable approaches to support diverse ODDs and Country/region expansion
- Drive and prioritize data-driven development by working with large data collection and labeling teams to bring in high value data to improve perception system accuracy
- Efforts will include data collection prioritization and planning, labeling prioritization, labeling efficiency optimization, so that value of data is maximized
- Leverage data simulation and augmentation for solving extreme scenarios
- Productize the developed perception solutions by meeting product requirements for safety, latency, and SW robustness
Requirements
- 2+ years of technical leadership demonstrating high technical and organizational complexity
- 10+ years of hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems, and proficiency in using deep learning frameworks (e.g., PyTorch)
- Experience in data-driven development and collaboration with data and ground truth teams
- Strong programming skills in python and/or C++
- Outstanding communication and teamwork skills as we work as a tightly-knit team, always discussing and learning from each other
- MS/PhD in CS, EE, sciences or related fields (or equivalent experience)
Benefits
- equity
- benefits
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Manager AI/ML Ops Engineering at Smartsheet driving team performance and AI solutions in Bangalore. Leading cross - discipline teams to enhance global operational capabilities.
ML Engineer at Marvik designing and implementing state - of - the - art AI solutions. Tackling real - world challenges with Python, LLMs, and Deep Learning.
Machine Learning Engineer Intern contributing to AI solutions for financial services. Engaging in hands - on ML projects and real production issues in a hybrid working environment.
Machine Learning Engineer in the CTO division at Open Cosmos developing ML - driven solutions for spacecraft operations. Focused on anomaly detection, forecasting, and decision - making automation.
Develop and automate Machine Learning models for Telecommunications networks during Master’s Thesis Internship. Engage with real - world operational data from Nokia's Microwave Radio technology.
Machine Learning Scientist III developing AI solutions for multi - product domain at Expedia Group. Collaborating with product managers and engineers to optimize travel experiences through machine learning.
Applied AI Engineer at Mistral AI integrating AI products for clients, managing complex technical challenges while working in a collaborative environment.
Staff Machine Learning Engineer at Adobe, leading technical efforts for scalable GenAI services across products like Photoshop and Lightroom. Collaborating closely with research and product teams for high - performance solutions.
AI Engineer building agentic systems and applying AI models for national security initiatives. Collaborating with teams to solve client challenges with cutting - edge AI solutions.