热门公司

Pure Storage
Pure Storage

Applied AI Engineer

职能机器学习
级别中级
地点Remote, United States
方式远程
类型全职
发布1个月前
立即申请

必备技能

Kubernetes

Go

PyTorch

We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.

This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

THE ROLE

Despite the "Engineer" title, this isn't a typical back-end coding job. This is a pre-sales and architectural advisory role for someone who is part scientist, part consultant, and part communicator. At the Staff / Principal level, you are expected to be a hybrid heavy hitter — someone who can talk shop with PhD data scientists and then walk into a boardroom and explain the ROI to a CEO.

We aren't looking for your average expert. We're building a team of T-shaped professionals

with:-Deep Technical Roots — You know Py Torch, Kubernetes, and GPU clusters (NVIDIA/AMD) inside and out, and you know when XGBoost is a better choice than the latest frontier model.

  • Broad Business Acumen — You understand verticals, e.g. how a hospital's AI needs differ from a hedge fund's, and can navigate both conversations with credibility.

  • Collaborative Autonomy — With a global remit and potential for 30-60% travel, you are in charge of driving results within diverse collaborations.

We're building a small, global Applied AI team to work directly with enterprise customers and partners — helping them turn AI ambitions into production outcomes on Pure's platform. This team brings genuine research and production depth to customer-facing engagements: leading technical advisory sessions, shaping AI strategy for some of the world's largest companies, and contributing to Pure's growing reputation in AI through publications, conferences, and thought leadership.

The team also ensures Pure's account teams can effectively qualify and position AI advisory opportunities across their territories, and provides enablement to our internal field and channel partner communities. The role requires working cross-functionally across Solutions, Marketing, Alliances, Engineering, Enablement, and Sales to align initiatives and go-to-market campaigns — all while maintaining genuine technical depth in enterprise AI.

If this sounds like you, come join one of the most exciting teams at Pure.

WHAT YOU'LL DO:

  • Lead technical discovery and advisory engagements with customers to identify high-value AI use cases relevant to their industry and data

  • Advise on end-to-end AI deployment — model selection, training/fine-tuning strategies, inference optimization, data pipeline design, and evaluation/alignment/safety frameworks — optimized for Pure's platform

  • Collaborate cross-functionally to qualify and position AI opportunities, and develop proof-of-value prototypes that translate technical performance into business outcomes

  • Create AI enablement content for field teams, partners, and customers — technical walkthroughs, qualification guides, workshops, and vertical-specific use case frameworks

  • Present at industry conferences, publish technical content and peer-reviewed research, and represent Pure in engagements with strategic technology partners (NVIDIA, AMD, cloud providers, MSPs)

  • Operate autonomously in ambiguous environments — independently scoping high-impact initiatives and driving them to completion at the right pace

WHAT YOU BRING:

  • Advanced degree in a quantitative field (Computer Science, Physics, Mathematics, Engineering, or related), or equivalent demonstrated through publications and production system experience

  • 8+ years building and deploying AI/ML systems in cloud or on-prem environments

  • Deep expertise in modern AI/ML — large language models, distributed training, inference optimization, agentic systems, evaluation/alignment frameworks, and classical ML

  • Fluency with the modern AI stack (Py Torch, vLLM, Ray, Kubernetes) and data platforms (Spark, Snowflake, Kafka, etc.)

  • Able to scope and carry out research projects that support critical business objectives, both independently and collaboratively

  • Excellent written, verbal, and presentation skills — equally clear with hands-on data scientists and C-suite decision-makers

WHAT SETS YOU APART:

  • Experience with large-scale AI infrastructure: GPU clusters, high-performance storage, containerized deployments

  • Experience in customer-facing technical advisory or consulting roles with enterprise accounts

  • Experience leading independent, multi-year research from concept to publication or large-scale production deployment

  • Exposure to multiple industry verticals (financial services, healthcare, telco, manufacturing)

  • Publication record, conference presentations, or recognized technical presence

  • Background combining applied research with shipping production systems

  • Familiarity with CRM/opportunity management systems (Salesforce preferred)

*Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. *

*This role may be eligible for incentive pay and/or equity. *

There is no application deadline and we accept applications on an ongoing basis until the job is filled.

The annual base salary range is: $171,500—$257,600 USD
WHAT YOU CAN EXPECT FROM US:

  • Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.

  • Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!

  • Team: We build each other up and set aside ego for the greater good.

And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information.

ACCOMMODATIONS AND ACCESSIBILITY:

Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview.

OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:

We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.

Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.

Join us and bring your best.Bring your bold.Pure and simple.

浏览量

0

申请点击

0

Mock Apply

0

收藏

0

关于Pure Storage

Pure Storage

Pure Storage provides all-flash data storage arrays and software for enterprises and cloud service providers. The company focuses on high-performance storage solutions that reduce data center footprint and energy consumption.

1,001-5,000

员工数

Mountain View

总部位置

$3.5B

企业估值

评价

10条评价

3.9

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

4.1

职业发展

3.2

管理层

2.5

72%

推荐率

优点

Innovative/cutting-edge technology

Great learning and training opportunities

Supportive and collaborative team

缺点

Fast-paced/stressful environment

Work-life balance challenges

Management communication and direction issues

薪资范围

19个数据点

Senior/L5

Senior/L5 · Customer Intelligence Data Scientist

1份报告

$277,200

年薪总额

基本工资

$214,000

股票

-

奖金

-

$277,200

$277,200

面试评价

3条评价

难度

3.0

/ 5

录用率

33%

体验

正面 0%

中性 67%

负面 33%

面试流程

1

Application Review

2

Online Assessment/Technical Screen

3

Technical Interview

4

Behavioral Interview

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR

Past Experience