5 часов назад
Forward Deployed Engineer (AI)
250 000 - 275 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer (AI): Delivering Ray and Anyscale platform solutions for strategic customers, including proof-of-value engagements, deployments, and enterprise adoption with an accent on distributed machine learning, Kubernetes, and customer-specific architectures. Focus on translating business objectives into measurable ROI, optimizing training and inference workloads, and feeding customer insights into product and engineering direction.
Location: San Francisco, United States; requires onsite work with key customers and frequent travel.
Salary: $250,000–$275,000 per year, plus equity and benefits.
Company
commercializes Ray, an open-source distributed computing platform for scaling machine learning applications from laptops to clusters.
What you will do
- Partner with strategic customers to lead proof-of-value engagements, deployments, and enterprise adoption of Ray and the platform.
- Translate business objectives into technical solutions that demonstrate measurable ROI and strategic impact.
- Build and deliver customer-specific demos, reference architectures, and enablement programs.
- Advise technical and executive stakeholders and build confidence in and Ray.
- Collaborate with sales, product, and engineering to accelerate deals, resolve challenges, and drive long-term customer success.
- Provide structured customer feedback to influence product direction and go-to-market strategy.
Requirements
- Fluency in Spanish and English is required for working with Spanish-speaking technical and executive stakeholders.
- 5+ years of customer-facing experience in forward deployed engineering, solutions architecture, field engineering, or software engineering.
- Strong technical foundation with Ray or the ability to quickly apply Ray to real-world use cases.
- Hands-on experience with machine learning training and inference, including distributed training, model serving, and performance and cost tradeoffs.
- Working knowledge of Kubernetes and container orchestration in Kubernetes-based environments.
- Experience driving enterprise adoption of complex SaaS, infrastructure, or ML/AI solutions and engaging both executive and technical stakeholders.
Nice to have
- Experience working directly with Spanish-speaking customers across Latin America and other regions.
Culture & Benefits
- Stock options and equity participation.
- Healthcare premiums covered at 95%.
- 401(k) retirement plan.
- Wellness and education stipend.
- Paid parental leave, fertility benefits, paid time off, and commute reimbursement.
- Lunch provided when working in the office.
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