Full-Time
Content Writer
Updated on 3/14/2025
Anyscale
501-1,000 employees
Platform for scaling AI workloads
Compensation Overview
$133.9k - $146.2kAnnually
Mid
Palo Alto, CA, USA + 1 more
More locations: San Francisco, CA, USA
Hybrid position requiring in-office work.
- Bachelor’s degree, ideally in an engineering or science discipline
- 4+ years of relevant experience as a content creator
- Proven track record of creating compelling long-form content
- Strong understanding of content marketing principles and best practices
- Excellent project management and organizational skills
- Demonstrated ability to translate complex technical concepts into clear, engaging content
- Strong interest in and understanding of AI/ML industry trends
- Experience with both established and start up environments
- Demonstrable work experience in ambiguous environments that is typical of high growth start-up environments to showcase comfort with ambiguity and a very fast pace
- Own the creation and execution of long-form content strategy, including ebooks, white-papers, case studies, and blog posts
- Manage day-to-day content operations, including a publishing workflow and performance tracking
- Collaborate with subject matter experts to translate technical concepts into business-focused content
- Create engaging copy for marketing collateral, including event materials, landing pages, and email campaigns
- Support content needs across marketing channels, including website, social media, and email newsletters
- Research and stay current with AI industry trends, news, and developments
- Work with the broader marketing team to align content with campaign objectives and marketing initiatives
- Experience writing about AI, ML, or enterprise technology
- Experience with Contentful or a similar CMS
- Technical experience is a plus
- Experience writing to a developer community is highly recommended
Anyscale provides a platform designed to scale and productionize artificial intelligence (AI) and machine learning (ML) workloads. Its main product, Ray, is an open-source framework that helps users manage and enhance AI applications across various fields, including Generative AI, Large Language Models (LLMs), and computer vision. Ray allows companies to improve the scalability, latency, and cost-efficiency of their AI operations, with some clients experiencing performance improvements of over 90%. Anyscale serves a range of clients, including major tech companies like OpenAI and Ant Group, who rely on Ray to train large models and enhance their ML platforms. The company operates on a software-as-a-service (SaaS) model, charging clients a subscription fee for access to the Ray platform. Anyscale's goal is to empower organizations to effectively scale their AI workloads and optimize their operational efficiency.
Company Size
501-1,000
Company Stage
Series C
Total Funding
$259.6M
Headquarters
San Francisco, California
Founded
2019
Simplify's Take
What believers are saying
- Anyscale's $100M Series C funding indicates strong investor confidence and growth potential.
- Partnership with Nvidia enhances performance and cost-efficiency for AI deployments.
- Anyscale Endpoints offers 10X cost-efficiency for popular open-source LLMs.
What critics are saying
- ShadowRay vulnerability in Ray framework poses significant security risk with no patch.
- OctoML's OctoAI service increases competition in AI infrastructure market.
- Dependency on Nvidia's technology could be risky if Nvidia faces issues.
What makes Anyscale unique
- Anyscale's Ray framework scales AI applications from laptops to cloud seamlessly.
- Ray is widely used in Generative AI, LLMs, and computer vision fields.
- Anyscale's SaaS model provides recurring revenue through subscription fees for Ray platform.
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Benefits
Medical, Dental, and Vision insurance
401K retirement savings
Flexible time off
FSA and Commuter benefits
Parental and family leave
Office & phone plan reimbursement
Growth & Insights and Company News
6 month growth
↑ 16%1 year growth
↓ -14%2 year growth
↓ -12%This partnership allows organizations to effectively manage and scale their ML workflows by integrating Astronomer's workflow management capabilities with Anyscale's distributed computing power.
Anyscale unveils new products and AI Platform enhancements at Ray Summit 2024.
SAN FRANCISCO, July 31, 2024 (GLOBE NEWSWIRE) - Anyscale, the company behind Ray, the open source framework for scalable AI, named industry veteran Keerti Melkote as chief executive officer following a year of 4x revenue growth and explosive open source adoption.
Anyscale and deepsense.ai develop a scalable cross-modal image retrieval system for e-commerce.
Join us in Atlanta on April 10th and explore the landscape of security workforce. We will explore the vision, benefits, and use cases of AI for security teams. Request an invite here. Thousands of companies use the Ray framework to scale and run highly complex, compute-intensive AI workloads — in fact, you’d be hard-pressed to find a large language model (LLM) that hasn’t been built on Ray. Those workloads contain loads of sensitive data, which, researchers have found, could be highly exposed through a critical vulnerability (CVE) in the open-source unified compute framework. For the last seven months, this flaw has allowed attackers to exploit thousands of companies’ AI production workloads, computing power, credentials, passwords, keys, tokens and “a trove” of other sensitive information, according to new research from Oligo Security. The vulnerability is under dispute — meaning that it is not considered a risk and has no patch. This makes it a “shadow vulnerability,” or one that doesn’t appear in scans. Fittingly, researchers have dubbed it “ShadowRay.”