AI Research Scientist - Reinforcement Learning at Snowflake

Menlo Park, California, United States

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$195,000 – $250,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Machine LearningIndustries

Requirements

PhD in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field (or equivalent research experience)
Deep understanding of reinforcement learning algorithms, including recent advances like RLHF, DPO, PPO, and multi-agent systems
Strong expertise in large language models, including fine-tuning and post-training optimization techniques
Proven track record of publishing in top-tier AI conferences or journals
Proficiency in programming languages and frameworks commonly used in AI research, such as Python, TensorFlow, or PyTorch
Excellent problem-solving skills, with a strong analytical and mathematical foundation
Ability to work both independently and collaboratively in a fast-paced research environment
Preferred Qualifications
Experience with large-scale training and deployment of RL or LLM models
Customer solution experience for different vertical domains, like health and finance
Familiarity with distributed computing and efficient training paradigms
Experience developing reasoning models, such as those for mathematical problem-solving, code generation, or structured decision-making tasks
Background in human-computer interaction or related interdisciplinary fields

Responsibilities

Conduct advanced research in reinforcement learning, focusing on areas such as RLHF, DPO, proximal policy optimization (PPO), and multi-agent systems
Develop custom solutions for a variety of real-world practical applications and challenging problem domains
Develop advanced reasoning models to enhance logical and contextual understanding, with applications in tasks such as code generation and structured decision-making
Develop and fine-tune large language models, exploring post-training optimization techniques to enhance performance and efficiency
Familiar with post-training data creation from either synthetic data processing or human annotated data pipelines
Collaborate with cross-functional teams to integrate research findings into real-world applications and products
Publish high-quality research papers in top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL)
Stay up-to-date with the latest developments in AI, RL, and LLMs, identifying opportunities for innovation and improvement

Skills

Key technologies and capabilities for this role

Reinforcement LearningRLHFDPOPPOMulti-Agent SystemsLLMsFine-TuningPost-Training OptimizationSynthetic Data ProcessingHuman Annotated Data

Questions & Answers

Common questions about this position

What is the salary range for the AI Research Scientist role?

The salary range is $195K - $250K.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What skills and qualifications are required for this role?

Candidates need a PhD in Computer Science, Machine Learning, or related field, deep understanding of RL algorithms like RLHF, DPO, PPO, strong expertise in LLMs including fine-tuning, proven publications in top AI conferences, and proficiency in Python, TensorFlow, or PyTorch.

What is the work environment like at Snowflake for this role?

The role involves working in a fast-paced research environment, collaborating with cross-functional teams on cutting-edge AI projects, and contributing to a team that pushes boundaries in RL and LLMs.

What makes a strong candidate for this AI Research Scientist position?

A strong candidate has a PhD or equivalent, publications in top conferences like NeurIPS or ICML, hands-on experience with RLHF, DPO, PPO, LLM fine-tuning, and proficiency in Python/PyTorch; preferred experience includes large-scale model training and customer solutions in domains like health or finance.

Snowflake

Data management and analytics platform

About Snowflake

Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.

Bellevue, WashingtonHeadquarters

2012Year Founded

$1,341.3MTotal Funding

IPOCompany Stage

Data & Analytics, Enterprise Software, AI & Machine LearningIndustries

5,001-10,000Employees

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.

Risks

Integration challenges from Datavolo acquisition may disrupt operations and customer service.

Increased competition from Mistral AI could challenge Snowflake's market position.

Convertible senior notes pricing may increase financial pressure if market conditions worsen.

Differentiation

Snowflake offers a unified platform for diverse data workloads, unlike traditional solutions.

The AI Data Cloud enables near-unlimited scale and performance for data mobilization.

Snowflake's seamless multi-cloud experience ensures efficient data operations across locations.

Upsides

Acquisition of Datavolo enhances Snowflake's open data integration capabilities.

Investment in Metaplane boosts AI-driven data quality solutions for Snowflake users.

Snowflake Ventures' investment in Hex expands accessibility of data tools to non-technical users.

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