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Fireworks AI

Member of Technical Staff, Data

Fireworks AI is hiring a Member of Technical Staff, Data for a remote role open to applicants in United States. It pays $180k-$240k a year and Level rates it ; you can apply on Fireworks AI.

Level's read on this job

  • Builds AI ●●●● is how Level rates this role: the job is building AI systems.
  • This is listed as a remote role.
  • The posting mentions PyTorch among its tools and skills.
  • Level classes it as a lead role.
  • Fireworks AI has 89 other open roles on Level.

AI in this role

PyTorch

About Us:

Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.

THE ROLE

We are seeking a Member of Technical Staff, Data to build business-critical data pipelines as our data platform scales. Our business teams need data for analytics, experimentation, and forecasting to support Fireworks’ growth. You will partner with these business teams and with our data platform engineers to design thoughtful data models, engineer the pipelines, put them in production, and ensure they give consumers the data they need to act decisively.

You’re a good fit for this role if you enjoy operating highly autonomously, if your working style stresses both efficiency and correctness, and if you love bringing structure to complex and messy questions.

WHAT WE'RE LOOKING FOR

Required

  • 5+ years in data engineering or similar roles.

  • Strong proficiency in SQL both for querying and for writing pipeline jobs.

  • Experience translating business needs into clear metrics, dimensions, and a data model.

  • Hands-on experience building and maintaining production data pipelines.

  • Excellent communication with senior level stakeholders, technical and non-technical.

  • Demonstrated autonomy in an environment with open ended problems.

  • Availability to work in office in San Mateo 3x days per week.

Preferred

  • Proficiency in Python or similar languages.

  • Experience with Google BigQuery.

  • Experience working with dbt, Coalesce, Airflow, or similar.

  • Experience using a data quality or observability tool (Bigeye, Monte Carlo, Great Expectations, or similar).

Why Fireworks?

  • Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.

  • Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.

  • Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.

  • Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.

Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

How we rate this

Member of Technical Staff, Data at Fireworks AI rates 86 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

PyTorch

Questions you could be asked

  1. What's a project where you used PyTorch hands-on?
  2. How would you decide a model or AI system is ready to ship?
  3. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: PyTorch. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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