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As a Staff Thermal Analysis Engineer, you will be responsible for performing detailed thermal analysis of the airframe, developing thermal management solutions for airframe composites, designing and optimizing cooling for systems and LRUs (actuators, avionics), conducting parametric studies to optimize thermal design, and developing and refining CFD/FEA models to simulate thermal scenarios.
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Propose and execute research initiatives for Conversational AI impact
Analyze conversational datasets for optimization
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Design and implement security measures to protect data
Partner with Detection & Response teams for visibility
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Partner with Sales to communicate value to customers
Close complex opportunities through competitive knowledge
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Gain practical experience in software development
Work with cutting-edge AI tools and technologies
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Promote MongoDB AI capabilities to developers and partners
Engage with the AI community and build partnerships
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Lead end-to-end datasets, RL envs, and evals for coding agents.
Define data pipelines, validation, and review processes.
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Invent tools and processes for deployment
Provide fast software validation
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Create technical content at scale
Represent Postman publicly
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Oversee firmware and embedded software qualification processes
Write and execute test plans
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Ensure reliability, scalability, and performance of systems
Automate deployment and maintenance tasks
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Design and build production ML systems for Reddit experiences.
Improve ranking, recommendations, search relevance, and signals.
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Develop core systems and infrastructure
Handle large volumes of events
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Lead specialized GPU pods management
Execute complex workload migrations
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Design dashboard for tracking JJ yield metrics
Integrate various data sources for analytics
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Propose, plan, and execute research initiatives impacting Conversational AI.
Utilize Transformer architecture for effective prompting and orchestration.
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Architect and build next-generation Conversational AI products.
Lead and mentor engineering teams.
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Efficient implementation of AI models
Prioritizing tasks based on urgency and impact
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Guide customers through product implementation and deployment.
Build custom demos and prototypes for customer use cases.
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Develop high-impact data science projects
Design, train, and validate statistical and ML models
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Shape technical roadmap
Architect and design deployment pipelines
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Apply ML/AI techniques in healthcare SaaS.
Collaborate with cross-functional teams.
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Build backend and frontend components equally
Collaborate on defining architecture
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Translate user stories into scalable technical designs
Architect secure, scalable Salesforce solutions
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Build a full-stack application from scratch
Collaborate with team members to define system architecture
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Develop and deliver full-stack code
Ensure testing, documentation, and observability standards
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Build backend and frontend components from scratch
Define architecture with cross-functional teams
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Collaborate on backend and frontend development
Own feature lifecycle from concept to production
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Lead ML projects and client discussions
Optimize ML models for performance and scalability
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Collaborate with different teams to design control plane architecture
Contribute to reliability testing for photonic products
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Develop high-impact data science projects
Train and validate ML models
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Develop and scale Python scripts for data analysis
Ensure accurate financial and regulatory reporting
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Apply ML/AI in healthcare systems
Collaborate with a diverse team
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Build and maintain reliable and scalable data pipelines for Growth use cases
Improve data models and schemas to meet evolving needs
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To build core sensor services in Golang (Kubernetes)
To optimize data delivery to SIEM/analytics platforms
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Execute test plans and analyze data
Troubleshoot and maintain test equipment
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Architect and build next-generation AI products
Lead and mentor engineering teams
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Propose and execute research initiatives for Conversational AI impact.
Utilize Transformer architecture for effective prompting.
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Guide customers through product journey
Build custom demos and prototypes
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Develop state-of-the-art AI model serving solutions
Prioritize tasks based on urgency and impact
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Advise customers on app design for Box
Build complex solutions with APIs
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Design and evaluate ML models for AI research
Collaborate with researchers and engineers
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Architect and build next-generation Conversational AI products
Lead and mentor engineering teams
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Work on state-of-the-art voice cloning and low latency text-to-speech technologies
Proven experience in Python backend development and cloud services
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Guide customers through product journey
Build custom demos and prototypes
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Lead full development cycle
Guide team roadmap and technical direction
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Execute research initiatives impacting Conversational AI.
Analyze conversational datasets for optimization.
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Architect and build next-generation Conversational AI products
Lead and mentor engineering teams
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Guide customers through product journey
Build custom demos and prototypes
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Developing and deploying AI models for voice cloning
Implementing efficient text to speech services
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Lead NPI of PCBA assemblies
Drive volume PCBA production processes
