Fireworks AI · 1 month ago
Member of Technical Staff, Applied Research
San Mateo, CA
Full-time
Onsite
Entry, Mid LevelFireworks AI is a leading company in generative AI infrastructure, focused on delivering high-quality models with scalable inference. The Applied Researcher role involves working at the intersection of ML research and systems engineering, collaborating with customers to deploy tailored models using their unique data.
Artificial Intelligence (AI)Data ManagementSaaSSoftware
Responsibilities
Work hands-on with customers and customer data to tune, evaluate and deploy models using various techniques such as SFT / DPO / RL
Help customers build competitive models using their unique data tailored to their unique products
Act as the technical bridge between customer needs, customer data, and our tuning and serving infrastructure
Qualification
Required
BS/MS in Computer Science, Electrical Engineering, Machine Learning, or a related field, or equivalent practical experience, open to all levels of experiences
Strong experience with PyTorch and modern Transformer architectures
Solid computer science fundamentals: data structures, algorithms, concurrency, distributed systems, networking
Hands-on experience training, fine-tuning, or evaluating machine learning models, preferably LLMs
Familiarity with recent developments in the LLM research domain, including model architectures, training methods, and evaluation strategies
Passion for partnering with customers: understanding their constraints, co-designing solutions, and iterating based on real-world feedback
Curiosity and enthusiasm for exploring a wide range of problem domains and project types - from quick experiments to long-running, complex engagements
Ability to operate in a fast-paced, ambiguous environment and drive projects independently
Preferred
Experience working directly with customers to deliver end-to-end modeling solutions, from understanding their data and product requirements to deploying tuned models in production
Strong familiarity with evaluation methodologies for LLMs (benchmarks, custom evals, error analysis)
Proficiency in diagnosing system-wide problems that hinder customers from achieving desirable outcomes
Deep understanding of tuning techniques (SFT, DPO, RL) and the underlying mathematical principles
Knowledge of infrastructural components that enterprises commonly use, such as databricks, S3/GCS storage, SageMaker, artifact registry etc
Familiarity with cloud-native tooling (containers, Docker, Kubernetes, or similar)
Company
Fireworks AI
Fireworks AI is an advanced platform that enables users to build, tune, and scale AI applications using open-source models
Founded in 2022
51-200 employees
H1B Sponsorship
Fireworks AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (3)
2023 (1)
Funding
Current Stage
Growth StageTotal Funding
$327MKey Investors
Sequoia CapitalBenchmark
2025-10-28Series C· $230M
2025-10-28Secondary Market· $20M
2024-07-07Series B· $52M
Leadership Team
Lin Qiao
CEO and cofounder
Aishwarya Srinivasan
Head of AI Developer Relations
Recent News
Company data provided by crunchbase