✦ Luna Orbit — AI & Machine Learning

Hewlett Packard Labs -- Senior AI/ML Research Scientist

at Hewlett Packard Enterprise

Hybrid 💰 $133K – $307K USD / year Posted April 03, 2026
Salary $133K – $307K USD / year
Type Full-Time
Experience senior
Exp. Years 5+ years
Education PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Mathematics, or other related fields.
Category AI & Machine Learning

Senior AI/ML Research Scientist at Hewlett Packard Labs to push generative AI research; focus on augmenting LLMs with test-time compute and physics insights; publish findings and mentor team.

  • Lead high-quality research in generative AI
  • Design and implement algorithms for augmented LLMs and diffusion models
  • Develop novel algorithms for fine-tuning, retrieval augmented generation, and in-context learning
  • Develop algorithms for training and inference in Energy-Based Models
  • Mentor junior researchers and publish results

Deep focus on generative models, LLMs, diffusion models, Energy-Based Models; tools include Python, TensorFlow, PyTorch; research integrated with symbolic AI, physics simulators, and multimodal data; aims to deliver scalable AI systems.

The ideal candidate is a senior AI/ML researcher with a PhD and 5+ years experience in generative AI; should have strong publication track record and proficiency in Python, TensorFlow, PyTorch; comfortable with cross-functional collaboration and mentoring.

PhD in Computer ScienceArtificial IntelligenceMachine LearningPhysicsMathematicsor other related fields5+ years working experience with training and fine-tuning generative AI models including LLMsdiffusion modelsor Energy-Based ModelsExperience with test-time compute techniquessuch as chain-of-thoughtsself-consistencyor reinforcement learning based verifiersetcProven track record of research in generative modelsdemonstrated through first tier publications (e.g.NeurIPSICMLICLRor high impact journals)patentsor publicly available projectsProficiency in programming languages commonly used in AI researchsuch as Pythonand experience with AI/ML frameworks (e.g.TensorFlowPyTorch)Deep understanding of machine learning algorithms and principlesespecially in the context of generative AIStrong mathematical backgroundwith excellent skills in areas such as statisticsprobabilitylinear algebraCreative and analytical thinking abilitieswith a passion for solving complex problemsExcellent communication skillscapable of conveying complex ideas clearly and engaging with both technical and non-technical audiences
Knowledge of computational physicsstatistical physicsmany-body physics simulationsor quantum computingand how to apply these principles to develop innovative AI algorithms and modelsProficiency with hosting and operating locally generative AI modelsthrough frameworks such as ollamavllmetcBackground in discrete optimizationcombinatorial optimizationMonte Carlo methodsquantum-inspired algorithmsand applying these disciplines to enhance AI modelsProgramming experience in high-performance computing (HPC) environmentsExperience with cloud computing platformsGPU computingor FPGA computing
OllamavLLMPythonTensorFlowPyTorch
PhD in Computer ScienceArtificial IntelligenceMachine LearningPhysicsMathematicsor related field; 5+ years training and fine-tuning generative AI models (LLMsdiffusion modelsor Energy-Based Models); experience with test-time compute techniques (chain-of-thoughtsself-consistencyRL verifiers); publications or patents; Python; TensorFlow; PyTorch; deep ML algorithms; statistics; probability; linear algebra; excellent communication
PythonTensorFlowPyTorchLarge Language ModelsLLMsdiffusion modelsEnergy-Based Modelstest-time computechain-of-thoughtsself-consistencyreinforcement learning based verifiersRetrieval Augmented Generationin-context learningmultimodal datapre-trainingfine-tuninginferencesymbolic AIphysics simulatorsOllamavLLM
Excellent communication skillsMentor junior researchers and engineersCollaboration with cross-functional teamsCreative and analytical thinkingProblem solving
Industry SaaS
Job Function Lead research to develop scalable, innovative generative AI systems at Hewlett Packard Labs
Role Subtype Software Architect
Tech Domains Python, Amazon Web Services, TensorFlow, PyTorch, Google Cloud Platform, Data pipelines, Dashboards, Tableau, Power BI
Senior AI/ML Research ScientistHewlett Packard LabsHewlett Packard EnterpriseHybridLarge Language ModelsLLMsdiffusion modelsEnergy-Based Modelssymbolic AIphysics simulatorsmultimodal dataRetrieval Augmented Generationin-context learningtest-time computechain-of-thoughtsself-consistencyreinforcement learning based verifiersOllamavLLMPythonTensorFlowPyTorchNeurIPSICMLICLR

No PhD in relevant field, Less than 5 years experience training/generating generative AI models, Lack of publications or patents, Insufficient proficiency in Python/TensorFlow/PyTorch

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