Full-Time

AI Research Scientist New Grad

Agents & Reinforcement Learning

Snowflake

Snowflake

10,001+ employees

Cloud-based data warehousing and analytics platform

Compensation Overview

$176k - $230k/yr

Company Historically Provides H1B Sponsorship

Bellevue, WA, USA

In Person

PhD

Category
AI & Machine Learning (1)
Required Skills
LLM
Python
PyTorch
Machine Learning
Reinforcement Learning

Get referred to Snowflake

See people who can refer or advise you

Requirements
  • A PhD in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field, either completing or recently completed, or equivalent research experience.
  • Foundational expertise in reinforcement learning algorithms, including reinforcement learning from human feedback, direct preference optimization, proximal policy optimization, or multi-agent systems.
  • Research experience in large language model post-training, fine-tuning, or reasoning model development.
  • Demonstrated ability to implement and experiment with agentic architectures, including tool use, planning, and self-correction loops.
  • Proficiency in Python and at least one deep learning framework, with PyTorch or JAX strongly preferred.
  • A strong mathematical and analytical foundation and comfort working at the intersection of theory and empirical research.
  • At least one first-author or co-authored publication or preprint in a relevant artificial intelligence or machine learning area.
Responsibilities
  • Design and develop agentic frameworks powered by recursive self-improvement loops, enabling AI systems to iteratively refine their capabilities and strategies.
  • Build and evaluate auto research agents capable of autonomously formulating hypotheses, executing experiments, and synthesizing findings.
  • Develop coding agents that understand, generate, and debug code across complex, multi-step programming tasks.
  • Conduct research in reinforcement learning, focusing on reinforcement learning from human feedback, direct preference optimization, and proximal policy optimization as mechanisms for aligning and improving agentic behaviors.
  • Contribute to multi-agent systems where specialized agents collaborate, negotiate, and self-organize to solve enterprise-scale problems.
  • Develop and curate training data pipelines, including synthetic and human-annotated data, to support novel agentic and reinforcement learning research domains.
  • Publish research findings at top-tier venues such as NeurIPS, ICML, ICLR, and ACL.
Desired Qualifications
  • Hands-on experience building or evaluating coding agents or auto research agents.
  • Familiarity with recursive self-improvement frameworks or automated AI scientist paradigms.
  • Experience with large-scale distributed training or efficient training paradigms.
  • Background in mathematical reasoning, structured decision-making, or program synthesis.
  • Exposure to domain-specific AI applications in healthcare, finance, or enterprise workflows.

Snowflake provides a cloud-based data platform called the Snowflake Data Cloud that lets customers store, process, and analyze large amounts of data. It operates on a pay-per-use model, charging for data stored and for computing power used. The platform is designed to be easy to use and handles many data types, supporting use cases from data warehousing and data lakes to data engineering, data science, and data applications. Snowflake differentiates itself with a cloud-native architecture that separates storage and compute, enabling on-demand scaling for diverse workloads across organizations, from startups to large enterprises. The company’s goal is to offer a scalable, flexible, and accessible data platform that unifies storage, processing, and analytics in one service.

Company Size

10,001+

Company Stage

IPO

Headquarters

Menlo Park, California

Founded

2012

Get referred to Snowflake

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Fiscal 2026 product revenue reached $4.47 billion, up 29%, with 125% net retention.
  • RPO hit $9.77 billion on January 31, 2026, signaling durable contracted demand.
  • Snowflake completed Observe acquisition and signed a $200 million OpenAI partnership in February 2026.

What critics are saying

  • February 2024 securities class action and November 2025 copyright suit drain management through 2026.
  • Benoit Dageville sold 50,000 shares on July 29, 2026; Frank Slootman sold 300,000 July 20.
  • Databricks and model vendors threaten Snowflake if AI workloads standardize on competing data stacks.

What makes Snowflake unique

  • Snowflake AI Data Cloud keeps enterprise data governed while running OpenAI and Anthropic models.
  • June 2026 Cortex Code and Snowflake Intelligence unify business users and builders on one platform.
  • Multi-cloud architecture and 13,328 customers in FY26 make migration friction and switching costs high.

Help us improve and share your feedback! Did you find this helpful?

Benefits

We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.

A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.

Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.

Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.

Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.

Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.

Growth & Insights and Company News

Headcount

6 month growth

-5%

1 year growth

-4%

2 year growth

-4%
Yahoo Finance
Aug 5th, 2026
Spotfire launches Push Compute on Snowflake AI Data Cloud for industrial analytics at scale

Spotfire has launched Push Compute on the Snowflake AI Data Cloud, enabling organisations to run advanced industrial data transformations and calculations at scale directly on Snowflake. The integration allows analysis of larger datasets and unlocks novel industrial analytic applications. The technology enables engineers and scientists to develop repeatable analytical workflows that compute over larger data volumes than previously possible. Users can visually orchestrate dynamic data transformations and Snowpark computations without moving data, whilst maintaining Spotfire's agile data exploration experience. The collaboration targets customers in manufacturing and energy sectors, particularly those migrating large-scale data to Snowflake. Use cases include advanced geological and well log analyses in oil and gas, field development, production optimisation, asset valuation, and operational excellence.

PR Newswire
Aug 4th, 2026
Alteryx One launches on Snowflake Marketplace with governed analytics

Alteryx has launched Alteryx One on Snowflake Marketplace, enabling joint customers to build governed, AI-ready workflows directly on Snowflake data. The integration allows business teams to prepare, analyse, automate, and apply AI to enterprise data without moving it, reducing complexity whilst maintaining governance. Alteryx One provides a no-code experience for business users to analyse Snowflake data, apply business rules, and automate workflows. Technical teams can extend these workflows with code and custom AI models whilst maintaining enterprise governance and end-to-end lineage. The platform is designed to make analytics lifecycles visible, understandable, repeatable, and auditable. More than 8,000 customers globally rely on Alteryx to automate analytics and drive data-driven decisions.

Yahoo Finance
Aug 1st, 2026
Snowflake joins Cursor's Benchmark Partners Program alongside AWS and NVIDIA for enterprise AI deployment

Snowflake has joined Cursor's Benchmark Partners Program alongside AWS, Databricks, NVIDIA, and others to support enterprise AI adoption. The programme aims to provide a reference stack addressing governance, infrastructure, and deployment challenges for large organisations implementing AI systems. The partnership positions Snowflake as part of a broader enterprise AI stack rather than a standalone data warehouse. It highlights the company's role in standardising how enterprises build and scale AI on modern data platforms. The development reflects increasing demand from large customers moving beyond AI pilots into broader deployments. For investors, the collaboration clarifies Snowflake's position within the evolving AI and data ecosystem as reference architectures continue to form. Snowflake currently trades at $293.28, close to its analyst target of $298.23, though the company remains loss-making with a negative net income margin.

Yahoo Finance
Jul 30th, 2026
Wells Fargo sets $500 Snowflake price target as AI drives spending up, not down

Wells Fargo has set a $500 price target for Snowflake, the highest on Wall Street, representing 85% upside from the July 28 close of $270.36. The bank upgraded its view after determining that AI is driving increased spending on Snowflake's platform rather than threatening it. Analyst Ryan MacWilliams cited a customer survey showing businesses are uploading more data to Snowflake to feed AI systems, whilst product usage climbs. This contradicts earlier fears that AI agents would undermine software-as-a-service models by replacing human users. Snowflake reported first-quarter revenue of $1.39 billion, up 33% year-on-year, with remaining performance obligations climbing 38% to $9.21 billion. The stock has risen 24.76% year-to-date. Competition from Databricks and Snowflake's 127 times forward earnings multiple present key risks to the bullish outlook.

PR Newswire
Jul 28th, 2026
Linx Security integrates with Snowflake to monitor third-party AI agent access

Linx Security has integrated with Snowflake to address security challenges posed by AI agents in enterprise environments. The integration enables security teams to monitor and control access as companies increasingly grant autonomy to third-party AI agents. The partnership aims to close an identity risk gap that existing security tools were not designed to address. As enterprises delegate more tasks to AI agents, traditional security infrastructure struggles to provide adequate oversight and control of these automated systems. The integration allows organisations to connect, monitor, and manage AI agent access to their systems more effectively, providing a solution specifically built for the emerging challenges of agentic AI deployment.