Everpure - Applied AI Engineer EMEA
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Requirements
• 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 (PyTorch, 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) • WHAT YOU CAN EXPECT FROM US: • Pure Innovation: We celebrate those who think critically, like a challenge and aspire to be trailblazers. • Pure Innovation • Pure 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 Large Workplaces in the Bay Area™, Fortune's Best Workplaces for Millennials™ and certified as a Great Place to Work®! • Pure Growth • Pure Team: We build each other up and set aside ego for the greater good. • Pure Team • 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 [email protected] 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. Pure is proud to be an equal opportunity and affirmative action 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. • BRING YOUR BOLD. • BRING YOUR BOLD. • BRING YOUR FLASH. • BRING YOUR FLASH.
Responsibilities
• 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
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