Level

Snowflake

Software Engineer AI Team

AI in this role

fine-tuningml-ops

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.

We're looking for a talented and motivated Software Engineer to join the Cortex AI Functions Platform team. AI functions are how Snowflake customers call AI directly from SQL, running models over their own tables without moving data out of the platform. Our team builds the platform that makes this work at data warehouse scale, where a single statement can expand into a large volume of inference requests that must complete predictably, within expected cost, and without compromising the query when a dependency degrades or fails.

Current projects include a new architecture for multi-modal inference, quality gates that let us ship new functions and models with confidence at batch scale, and support for input data beyond plain text. Alongside these, we work continuously on throughput, cost and reliability as customer usage grows, and on making failures in the inference path easier to detect, diagnose and recover from.

For this role, you don’t need to have a research background, including pre-training or fine-tuning models.

 

Your journey as a Software Engineer

Working in our team you will:

  • Think creatively to find optimal solutions to our complex, often ambiguous problems

  • Participate in all stages of building and running the platform behind Snowflake’s AI functions, from design and implementation through rollout and production support

  • Work closely with research teams, as well as product and engineering partners, to understand and shape the short and long-term product development strategy

  • Serve as a mentor to less experienced engineers

Ideal candidate

  • 4+ years of experience building production backend or distributed systems in C++, Java, Go, Python, or a comparable language

  • BSc in a technical field (CS, EE, Physics, Math, etc), MSc/PhD is a plus

  • Experience designing and operating high-throughput services, including handling concurrency, backpressure, partial failures, and observability

  • Experience designing service or RPC APIs, such as REST or gRPC

  • Experience with software engineering best practices (programming, testing, version control, CI/CD, containers, agile development, etc)

  • Experience with building distributed systems that guarantee high throughput without compromising on reliability

  • High levels of curiosity and eager enthusiasm for open-ended problems, and the ability to turn a loosely defined problem into a scoped, testable design

  • Ability to articulate results and complex concepts to leadership

  • Must be able to produce solutions independently in an organized manner, as well as work in a team

  • Experience with SQL engines, query execution, or other large-scale data systems is a strong asset

  • Hands-on experience in the MLOps field (e.g., deploying ML models) is a plus

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

How we rate this

Software Engineer AI Team at Snowflake rates 18 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  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. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Fine TuningML Ops

Questions you could be asked

  1. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  2. How do you monitor a model once it's live, and how do you know it needs retraining?

Adapt your resume

  • List these exact terms on your resume: Fine Tuning and ML Ops. 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.

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