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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in deploying and optimizing LLM models and deep learning frameworks, with a strong focus on API design and multimodal data handling. Proficient in collaborating with cross-functional teams to drive AI solutions from research to production.
Highest-signal resume keywords
Deep Learning Model OptimizationLLM Deployment and OperationAPI Design and ImplementationExperience with PyTorchExpertise in Python
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Deep LearningNatural Language ProcessingComputer VisionTransformersLLMsData ExplorationTechnical Research ImplementationMultimodal Data HandlingCost OptimizationPerformance Optimization
Soft Skills
CollaborationProblem-SolvingCommunication
Tools & Technologies
ContainersKubernetesAWSDatabricksLangGraphLangFuseVector Stores
Certifications & Qualifications
M.S. in Computer Science
Industry Keywords
AI PlatformLLMOpsGenerative AIKnowledge RepresentationAgentic Infrastructure
Tech Stack
Tools & technologiesAWSKubernetesPythonPyTorch
About the role
Key responsibilities & impact- Collaborate with Research Scientists, Engineers, and Data Scientists in the AI Platform organization and beyond
- Deploy, build, adapt, optimize, and operate LLM models in production at very large scale
- Own the technical design and implementation of robust API services, libraries, and container strategies supporting the end-to-end LLMOps lifecycle
- Optimize deep learning and LLM training and inference performance for speed and cost on specialized hardware
- Drive complex AI problems from research and literature review through data exploration, implementation of novel in-house methods, and productization
- Train, adapt, and deploy state-of-the-art LLMs and agents across Predictive, Generative, and Agentic AI
- Work with multimodal data including text, images, video, audio, and sensor data
Requirements
What you’ll need- M.S. in Computer Science or equivalent experience
- 5+ years of experience as a Research or Machine Learning Engineer
- Experience building, optimizing, deploying, and operating Deep Learning models using PyTorch, including Transformers and LLMs
- Experience with research scientists, reading technical research papers, and implementing state-of-the-art methods in Natural Language Processing, Computer Vision, Knowledge Representation and Management, Vector Databases, and Generative AI
- Expertise in Python
- Experience with Containers, Kubernetes, AWS, Databricks, and agentic infrastructure such as LangGraph, LangFuse, and vector stores
Benefits
Comp & perks- Discretionary bonus
- Company equity
- Flexible work arrangements
- Generous PTO and sick leave
- Professional development funds
- Employee resource group (ERG) network
- Manager development programming