Member of Technical Staff, Research – 2026 PhD New Grad

Fireworks AI

. Conduct foundational research advancing the capabilities, efficiency, and reliability of LLMs and multimodal systems .

Posted 10/30/2026full-timeSeattle • Washington • United StatesEntry Level💰 $200,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing advanced AI models and architectures, with a strong foundation in Machine Learning and Artificial Intelligence. Proficient in transitioning research prototypes to production systems and optimizing model performance through empirical analysis.

Highest-signal resume keywords

PhD In Computer ScienceProficiency In PythonExperience With ML FrameworksResearch Background In Artificial IntelligenceExperience With Large-Scale Model Training

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningModel Architecture DesignOptimization TechniquesAnalytical Problem SolvingQuantitative ApproachesGPU Kernel DevelopmentInference OptimizationDistributed SystemsResearch Code DevelopmentPublications In Peer-Reviewed Journals

Soft Skills

Communication SkillsCollaboration

Tools & Technologies

PyTorchJAXTensorFlowC/C++

Industry Keywords

Artificial IntelligenceMachine LearningComputational PhysicsResearch InternshipsOpen-Source Contributions

Tech Stack

Tools & technologies

Distributed SystemsPythonPyTorchTensorflowC++

About the role

Key responsibilities & impact

Conduct foundational research advancing the capabilities, efficiency, and reliability of LLMs and multimodal systems
Design, implement, and evaluate novel model architectures, training methods, and optimization techniques
Work with engineering teams to transition research prototypes into production-grade systems
Analyze empirical results, identify performance bottlenecks, and iterate to improve model quality
Bring ideas and emerging directions from doctoral research into the internal research agenda
Build AI models and infrastructure for companies using specialized intelligence tailored to their data, workflows, and products

Requirements

What you’ll need

PhD completed within the last 6 months, or expected completion by December 2026, in Computer Science, Machine Learning, Computational Physics, Mathematics, Electrical Engineering, or a similar field
Research background in Artificial Intelligence, Machine Learning, Physics, or a related area, demonstrated through dissertation, publications, or research projects
Experience solving analytical problems using analytic and quantitative approaches
Experience communicating research to audiences with different backgrounds
Proficiency coding in Python, C/C++, or similar languages
Hands-on experience with ML frameworks such as PyTorch, JAX, or TensorFlow
First-authored publications at top-tier peer-reviewed conferences or journals preferred
Industry research internships or open-source contributions to ML systems, model training, or inference projects preferred
Research or engineering experience demonstrated via grants, fellowships, patents, or coding competitions preferred
Experience with large-scale model training, distributed systems, GPU kernel development, or inference optimization preferred
Experience taking research code beyond the prototype stage preferred
Must be authorized to work in the country where the job is located
Must be open to relocating to Seattle and working a hybrid schedule with in-office days on Monday, Wednesday, and Friday

Benefits

Comp & perks

Mentorship from a senior researcher
Opportunity to see research deployed in production within weeks
Collaboration with world-class engineers and AI researchers
Inclusive and equal-opportunity work environment
Global impact on enterprise AI
Flexible hybrid schedule with in-office days on Monday, Wednesday, and Friday