Full-Time

AI Research Scientist New Grad

Agents & Reinforcement Learning

Posted on 6/17/2026

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

Category
AI & Machine Learning (1)
Required Skills
LLM
Python
Pytorch
Machine Learning
Reinforcement Learning
Requirements
  • PhD in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field (completing or recently completed; or equivalent research experience)
  • Foundational expertise in reinforcement learning algorithms, including RLHF, DPO, PPO, or multi-agent systems
  • Research experience in LLM 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 (PyTorch or JAX strongly preferred)
  • Strong mathematical and analytical foundation — comfortable working at the intersection of theory and empirical research
  • At least one first-author or co-authored publication or preprint in a relevant AI/ML area
Responsibilities
  • Design and develop agentic frameworks powered by recursive self-improvement loops, enabling AI systems that iteratively refine their own capabilities and strategies
  • Build and evaluate auto research agents — systems 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 with a focus on RLHF, DPO, and PPO 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 — both synthetic and human-annotated — to support novel agentic and RL 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

Your Connections

People at Snowflake who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • AI-driven adoption is accelerating with 34% product revenue growth and strong momentum from Cortex use cases.
  • Cortex Agents targeting complex multi-step tasks increases customer stickiness via governed SQL generation and semantic search.
  • Partner-led ecosystem growth expands through no-code agent building and developer interest in agent-powered workflows.

What critics are saying

  • Databricks will likely displace Snowflake on ETL, streaming, and ML-heavy jobs due to 1.9x faster SQL performance.
  • Snowflake faces 55–75% probability of losing new-logo wins for unified data engineering and AI platforms within 12–24 months.
  • Public price framing like '$36K vs $28K' pressures renewals and enterprise shortlists in the next 6–12 months.

What makes Snowflake unique

  • Snowflake unifies data warehousing, big data flexibility, and cloud elasticity in one governed platform.
  • Its Cortex AI enables low-latency access to multiple frontier models without moving data out of security perimeter.
  • Snowflake supports vertical AI workflows like document processing, predictive modeling, and entity extraction directly inside Data Cloud.

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

0%

1 year growth

1%

2 year growth

1%
PR Newswire
Apr 7th, 2026
Penguin Ai launches prior authorisation and medical coding apps on Snowflake Marketplace

Penguin Ai has launched Prior Authorization and Medical Coding solutions as Snowflake Native Apps on Snowflake Marketplace. The healthcare AI company's solutions automate administrative workflows by applying AI directly to clinical documentation, claims data and medical policies within Snowflake. The solutions use AI-based agents to review documentation for completeness and medical necessity, generating audit-ready recommendations that improve turnaround times and accuracy. Built to run natively on Snowflake, the apps eliminate data movement and integration complexity. Prior authorisation and medical coding traditionally require manual review of complex clinical records, contributing to delays and administrative burden. Penguin Ai's solutions enable health plans and providers to automate documentation review, policy alignment and coding quality checks directly within their Snowflake accounts, helping reduce costs and improve operational efficiency.

Yahoo Finance
Apr 1st, 2026
Snowflake appoints Jonathan Beaulier as CRO as Morningstar expands financial datasets on marketplace

Snowflake appointed Jonathan Beaulier as chief revenue officer on 31 March 2026, whilst Morningstar expanded its investment datasets on Snowflake Marketplace for institutional clients. The moves strengthen Snowflake's position in financial data workflows and place an experienced insider in charge of monetisation. The Morningstar expansion demonstrates how third-party content can deepen usage in key verticals like financial services. If Snowflake replicates this pattern across other data providers and industries, marketplace activity could become a more significant driver of consumption growth and customer retention, helping offset potential slowdowns in migration-driven revenue. However, Snowflake's dependence on hyperscaler infrastructure pricing remains a risk. The company's narrative projects $7.8 billion revenue by 2028, with some analysts forecasting $10.1 billion by 2029.

PR Newswire
Mar 26th, 2026
Snowflake scraps $10B revenue target, cuts growth guidance from 30% to 22%

Snowflake has been hit with a securities class action lawsuit after withdrawing its $10 billion product revenue target for 2029 and slashing growth guidance from an expected 30% to 22%. The lawsuit covers shareholders who purchased SNOW stock between 27 June 2023 and 28 February 2024. On 28 February 2024, Snowflake disclosed that product efficiency gains were creating a 6.2% to 6.3% annual revenue headwind. Iceberg Tables technology, previously promoted as a growth driver, was now acknowledged as a factor causing customers to move storage out of Snowflake. The company guided fiscal year 2025 product revenue to approximately $3.25 billion, representing 22% year-over-year growth. Shares fell $41.72, an 18.14% decline, following the announcement. The lead plaintiff deadline is 27 April 2026.

Yahoo Finance
Mar 23rd, 2026
Snowflake shares jump 4.4% as Trump's Iran talks spark tech rally

Snowflake shares rose 4.4% to $175.40 following comments from President Trump regarding Iran talks, which triggered a broad market rally. Nine out of ten S&P 500 stocks advanced, with both the Dow Jones and Nasdaq gaining around 2%. The risk-on environment, driven by reduced geopolitical tension perceptions, particularly benefited growth-oriented technology sectors. Snowflake's shares have experienced 19 moves greater than 5% over the past year, indicating high volatility. The stock is down 19.1% year-to-date and trading 36.7% below its 52-week high of $277.14 from November 2025. The company recently reported fourth-quarter revenue of $1.28 billion, beating expectations with 30.1% year-on-year growth, though it provided mixed guidance for the upcoming quarter.

CNBC
Mar 19th, 2026
Snowflake unveils Project SnowWork agentic platform for enterprise AI automation

Snowflake CEO Sridhar Ramaswamy has unveiled Project SnowWork, an agentic platform enabling enterprise employees to query data and take action across systems like Salesforce and ServiceNow from within Snowflake. Currently in research preview, the platform represents Snowflake's effort to position itself as the central operating layer for AI-powered enterprises. The new system moves beyond traditional data queries, allowing users to execute actions across multiple enterprise systems through a unified interface.