ML Research Engineer (Senior / Staff / Principal)
Genesis TherapeuticsSalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
$180,000 – $250,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Autonomous DrivingIndustries
Requirements
- MS or PhD in CS, EE, mathematics, statistics, or related field
- 3+ years of industry experience working on cutting-edge deep learning applications
- Proficient in Python
- Willingness to do some C++ development as needed
- Deep understanding of machine learning principles and methodologies
- Experience with implementing deep learning models in at least one deep learning framework (PyTorch, TensorFlow, Jax)
Responsibilities
- Develop Bird’s Eye View (BEV) perception models for autonomous driving applications
- Develop Vision Language Models for scene understanding and action generation for autonomous driving applications
- Complete ownership of project from ideation, design, developing data requirements, model training, evaluation, and deployment
- Research and prototype novel solutions to tackle long-tail real-world problems in challenging and diverse scenarios (e.g., on highway and local roads, extreme weather conditions, sensor failures)
- Collaborate cross-functionally to ensure model development keeps a real-time focus and operates efficiently in compute-constrained environments
- Rigorous approach to model development: running well-designed experiments, defining suitable training and validation datasets, and evaluating on the right metrics
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary range for this position?
The salary range is $180,000 - $250,000 a year.
Is this role remote?
Yes, this is a remote position.
What skills are required for this role?
Required skills include proficiency in Python, willingness to do some C++ development, deep understanding of machine learning principles, and experience with at least one deep learning framework like PyTorch, TensorFlow, or Jax.
What education and experience are needed?
Candidates need an MS or PhD in CS, EE, mathematics, statistics, or related field, plus 3+ years of industry experience in cutting-edge deep learning applications.
What makes a strong candidate for this role?
Strong candidates have relevant industry experience in self-driving vehicles or computer vision, experience with object detection or semantic segmentation, vision-language models, publications in top venues like CVPR or NeurIPS, and ML Ops expertise.
PlusAI
Develops autonomous driving systems for trucks
About PlusAI
Plus.ai develops self-driving systems specifically for heavy trucks, aiming to improve safety, comfort, and reduce carbon emissions in long-haul trucking. Their main product, PlusDrive, is designed to enhance the efficiency of commercial transportation. The system operates through a closed-loop learning mechanism, allowing for continuous updates and improvements via over-the-air software updates. Plus.ai differentiates itself from competitors by focusing on partnerships with large logistics firms and truck manufacturers, and by conducting extensive testing to validate their technology. The company's goal is to lead the autonomous trucking industry by providing solutions that enhance safety and sustainability in transportation.
Santa Clara, CaliforniaHeadquarters
2016Year Founded
$799.3MTotal Funding
LATE_VCCompany Stage
Automotive & Transportation, EnergyIndustries
201-500Employees
Benefits
Company Equity
Risks
Geopolitical tensions with China may affect Plus's operations.
Reliance on partners like Hyundai could be risky if they develop own technologies.
New safety regulations may require costly adjustments to Plus's technology.
Differentiation
Plus is a leader in autonomous trucking with its PlusDrive system.
Partnerships with Hyundai and FAW enhance Plus's global market presence.
Plus's AI-based PlusProtect technology expands its reach beyond trucking.
Upsides
Collaboration with Alibaba Cloud boosts Plus's data processing capabilities.
Launch of PlusProtect opens new markets in passenger vehicle safety systems.
Recognition as a 2024 Edison Award Gold Winner highlights Plus's innovation.
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