Research Engineer for Waabi, developing algorithms for world models in autonomous transportation. Collaborating with a team to deliver scalable and efficient AI solutions.
About the role
- Research Engineer focused on optimizing ML models on GPU’s or AI accelerators. Engaging in research, prototyping, and developing deep learning models.
Responsibilities
- Focus on research and development related to the optimization of ML models on GPU’s or AI accelerators
- Use judgment in complex scenarios and apply optimization techniques to a wide variety of technical problems
- Research, prototype and evaluate state of the art model optimization techniques and algorithms
- Characterize neural network quality and performance based on research, experiment and performance data and profiling
- Incorporate optimizations and model development best practices into existing ML development lifecycle and workflow
- Define the technical vision and roadmap for DL model optimizations
- Write technical reports indicating qualitative and quantitative results to colleagues and customers
- Develop, deploy and optimize deep learning (DL) models on various GPU and AI accelerator chipsets/platforms
Requirements
- Proficiency in ML model development and optimization techniques (e.g. numerical optimization, quantization, sparsity, pruning, architecture search and design), particularly on model deployment onto GPU’s or AI accelerators
- Strong understanding of deep learning algorithms, software engineering and GPU-based computing
- Experience working with neural networks in Tensorflow and/or PyTorch
- Proven ability to thrive in fast-paced environment
- Ability to communicate complex technical concepts to colleagues and a variety of audience
- Introspection, thoughtfulness, and detail-orientation
- Proficiency in Python
- Master’s or Ph.D. in a related field and/or 5+ years of experience in a directly related field (a plus)
- Computer vision experience (a plus)
Benefits
- Competitive health insurance options
- 401K plan management
- Free lunch and fully-stocked kitchen in our South Bay office
- Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
- The opportunity to work on one of the most interesting, impactful problems of the decade
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Infrastructure Engineer at Metergy, enhancing cloud infrastructure and automation solutions. Collaborating cross - functionally to drive transformation in hybrid environments.
Architecting and optimizing leading - edge ML and physics - based models at SandboxAQ. Driving research to production for drug discovery and materials science.
Innovation Engineer exploring AI and emerging technologies to solve business problems. Prototype solutions and drive innovation for operational improvement and product capabilities.
Malware Research Engineer investigating cybersecurity threats and developing detection rules at Malwarebytes. Engaging in research and customer inquiry resolution in a dynamic threat landscape.
AI researcher driving innovation in multimodal and video foundation model architecture at Tether. Engaging in cutting - edge research and development of scalable AI architectures and tools.
Research Engineer role at Helm.ai focused on improving AI models and solving complex autonomous vehicle challenges. Collaborate with engineers on deep learning experiments and cutting - edge technologies.
Senior Research Engineer developing technical solutions for mountain athletes at Arc’teryx. Working with interdisciplinary teams to innovate outdoor apparel and equipment.
Research Engineer at Cohere Labs building experiments and systems for AI models. Collaborating with scientists and engineers to implement methods and run large - scale experiments.
AI/ML Innovation Engineer at EWSGroup designing and operationalizing AI capabilities in the product ecosystem. Involves hands - on work with machine learning models and data pipelines.