How to Apply to Anyscale

Key Takeaways

Anyscale is a mission-driven AI infrastructure company built around Ray, so demonstrating genuine understanding of and enthusiasm for distributed computing is essential for any application.
The company uses Ashby as its ATS — optimize your resume with clean formatting, relevant keywords, and complete all application fields to maximize your visibility to recruiters.
Open-source contributions and community involvement are likely highly valued given Anyscale's origins; highlight any relevant GitHub activity, conference talks, or published work prominently.
Technical interviews at Anyscale tend to emphasize practical systems design and distributed computing knowledge over pure algorithmic challenges — prepare accordingly with real-world scaling scenarios.
Roles span engineering, product, security, marketing, sales, and customer engineering — but nearly all require strong technical credibility, so even non-engineering candidates should demonstrate comfort with technical concepts.
Quantify your impact wherever possible, especially around scale metrics like cluster sizes, data volumes, latency improvements, or ML model performance gains.
Research Ray's architecture, key concepts (tasks, actors, object store), and ecosystem projects (Ray Serve, Ray Data, Ray Train) before applying — this knowledge will differentiate you at every stage of the process.
Anyscale has roles in both the US and Bengaluru (India), so check location requirements carefully and be prepared to discuss your work arrangement preferences during screening.

About Anyscale

Anyscale is a technology company at the forefront of distributed computing and AI infrastructure, founded by the creators of Ray — the popular open-source framework for scaling Python applications and AI/ML workloads. The company provides a managed platform built on Ray that enables organizations to develop, deploy, and scale AI applications with greater efficiency and simplicity. Anyscale occupies a strategic position in the rapidly growing AI infrastructure market, serving enterprises that need to scale machine learning training, serving, and data processing workloads. The company's culture is commonly described as deeply technical, research-oriented, and mission-driven, attracting talent from top-tier academic institutions and leading technology companies. With roots in UC Berkeley's RISELab, Anyscale blends academic rigor with startup agility. The company has attracted significant venture capital funding and counts major enterprises among its customers. Anyscale typically values open-source contribution, intellectual curiosity, and a collaborative engineering mindset, making it an appealing destination for engineers and product professionals passionate about building foundational AI infrastructure at scale.

Application Process

Identify the Right Role on Anyscale's Careers Page
Begin by visiting Anyscale's official careers page at jobs.ashbyhq.com/anyscale to browse their active openings. With approximately 28 active roles spanning engineering, product management, security, marketing, customer engineering, and solutions architecture, take time to carefully read each job description. Anyscale's roles tend to be highly specialized — for example, distinguishing between 'Software Engineer, Ray Data' and 'Software Engineer, Platform Infrastructure (Foundations)' — so understanding the specific team and technology focus is essential before applying. Pay close attention to required experience with distributed systems, Ray, or specific ML frameworks mentioned in the listing.
Tailor Your Resume and Application Materials
Customize your resume to align closely with the specific role's requirements. Anyscale roles commonly emphasize deep technical expertise in areas like distributed computing, machine learning infrastructure, Kubernetes, cloud platforms, and Python. Highlight relevant open-source contributions, particularly to Ray or related projects, as this is likely to resonate strongly. For non-engineering roles like Events Marketing Manager or Account Executive, emphasize experience in developer-focused or technical B2B environments. Ensure your resume is formatted for ATS compatibility through Ashby, their applicant tracking system.
Submit Your Application Through Ashby
Anyscale uses Ashby as their applicant tracking system. When submitting, you'll typically fill out structured fields including your contact information, resume upload, LinkedIn profile, and potentially role-specific questions. Some positions may include optional or required fields for cover letters, portfolio links, or GitHub profiles. Complete every field thoroughly — incomplete applications may be deprioritized. Ashby's system parses your resume data, so using a clean, well-structured format helps ensure your qualifications are accurately captured and searchable by recruiters.
Initial Screening and Recruiter Conversation
If your application passes initial review, you can typically expect a recruiter screen — commonly a 30-minute phone or video call. Based on patterns common at AI infrastructure startups of Anyscale's profile, this conversation likely covers your background, motivation for joining Anyscale specifically, understanding of the Ray ecosystem, and logistical details like location preferences and timeline. Demonstrating genuine familiarity with Ray and Anyscale's mission during this stage can help differentiate you from other candidates. Prepare to articulate why distributed computing and AI infrastructure excite you.
Technical or Functional Assessment
For engineering roles (which make up the majority of Anyscale's openings), candidates commonly report a technical assessment phase. This may include a coding exercise, systems design discussion, or take-home project related to distributed systems, data processing, or ML infrastructure. For roles like 'Member of Technical Staff' or 'Lead Security Engineer,' expect deep-dive technical evaluations in your domain. Non-engineering roles such as Account Executive or Events Marketing Manager may involve case studies, portfolio reviews, or strategic presentations relevant to developer marketing or enterprise sales.
On-Site or Virtual Interview Loop
The final interview stage at companies like Anyscale typically involves a multi-session interview loop with several team members, including potential peers, hiring managers, and cross-functional stakeholders. For engineering candidates, this commonly includes systems design interviews, coding sessions, and behavioral discussions. Expect questions about scaling challenges, fault tolerance, and real-world distributed computing scenarios. The loop may also assess cultural fit and alignment with Anyscale's values around open-source contribution and technical excellence. Virtual interview loops are common given the company's distributed workforce.
Offer and Negotiation
Successful candidates typically receive an offer that includes competitive compensation packages common in the AI infrastructure space. Given Anyscale's venture-backed status and position in a high-demand market, offers may include equity components. During this stage, you may have conversations with the hiring manager or a senior leader about team vision and growth opportunities. Be prepared to discuss your expectations professionally, and don't hesitate to ask about team structure, roadmap, and how your role contributes to Anyscale's broader mission of democratizing scalable AI.

Resume Tips for Anyscale

Critical Highlight Distributed Systems and Ray Experience Prominently

Anyscale's entire product ecosystem is built around Ray, the open-source distributed computing framework. If you have direct experience with Ray — whether through open-source contributions, production deployments, or academic research — place this prominently in your resume summary and experience sections. Even if you haven't used Ray directly, emphasize experience with related distributed computing frameworks (Spark, Dask, Celery), parallel processing, or cluster management. Use specific terminology like 'distributed training,' 'autoscaling,' 'task scheduling,' and 'object store' that aligns with Ray's architecture.

Critical Quantify Scale and Impact in AI/ML Contexts

Anyscale serves enterprises running large-scale AI workloads, so your resume should demonstrate comfort with scale. Include specific metrics wherever possible: cluster sizes you've managed, data volumes processed, model training times reduced, GPU utilization improvements, or latency optimizations achieved. For example, 'Reduced distributed model training time by 40% across a 200-node cluster' is far more compelling than 'Improved training performance.' For non-engineering roles, quantify campaign results, deal sizes, or customer engagement metrics relevant to technical B2B audiences.

Critical Showcase Open-Source Contributions and Community Involvement

Anyscale was born from an open-source project, and the company's culture commonly reflects deep appreciation for open-source contribution. Include a dedicated section or prominent mentions of any open-source work — GitHub contributions, maintained projects, conference talks, published papers, or community involvement. Link to your GitHub profile and highlight specific repositories or pull requests, especially those related to distributed systems, ML frameworks, or Python tooling. Even contributions to documentation or issue triage demonstrate community engagement that Anyscale likely values.

Critical Use Clean, ATS-Compatible Formatting for Ashby

Since Anyscale uses Ashby for applicant tracking, ensure your resume uses a clean, single-column layout with standard section headers (Experience, Education, Skills, Projects). Avoid tables, multi-column layouts, headers/footers with critical information, or embedded images that may not parse correctly. Use standard fonts and save as PDF unless otherwise specified. Ashby generally handles well-formatted PDFs effectively, but overly designed resumes with complex layouts can result in parsing errors that cause key information to be missed during initial screening.

Emphasize Cloud Platform and Infrastructure Expertise

Many Anyscale roles — particularly SRE, Platform Infrastructure, and Solutions Engineering positions — require strong cloud infrastructure skills. Highlight experience with AWS, GCP, or Azure, especially around compute orchestration, Kubernetes, Terraform, and cloud-native architectures. Mention specific services relevant to ML workloads like EC2 GPU instances, GKE, or managed Kubernetes offerings. For the SRE role specifically, emphasize monitoring, incident response, infrastructure-as-code, and reliability engineering practices at scale.

Tailor Your Skills Section with Role-Specific Keywords

Carefully mirror the language used in Anyscale's job descriptions within your skills section. If a posting mentions 'Python,' 'Kubernetes,' 'distributed systems,' 'ML pipelines,' or 'data processing,' ensure these exact terms appear in your resume where truthfully applicable. For product management roles, include terms like 'developer experience,' 'platform product management,' and 'technical roadmap.' For the Account Executive role, include 'enterprise sales,' 'technical B2B,' and 'high-tech vertical.' This keyword alignment helps both ATS parsing and human reviewers quickly identify relevant qualifications.

Include Relevant Academic Research or Publications

Given Anyscale's academic roots in UC Berkeley's RISELab, candidates with relevant research backgrounds may find this particularly valued. If you have published papers in distributed systems, machine learning systems, or related fields, include a Publications section. Even if you're not from academia, mentioning relevant coursework, certifications (e.g., in distributed computing or ML), or self-directed learning projects demonstrates the intellectual curiosity that companies like Anyscale typically prize.

ATS System: Ashby

Ashby is a modern applicant tracking system and recruiting platform designed to streamline the hiring process for fast-growing technology companies. It combines ATS functionality with recruiting analytics, scheduling automation, and CRM capabilities. Ashby is known for its clean candidate experience and structured data approach, which means your application information is parsed and organized for recruiter review. The system allows hiring teams to efficiently filter, search, and evaluate candidates based on parsed resume data and application responses. Anyscale's use of Ashby reflects a preference for modern, efficient recruiting tools — consistent with their technology-forward culture.

Use a clean, single-column resume format with standard section headers (Experience, Education, Skills) to ensure Ashby's parser accurately extracts your information — avoid complex layouts, tables, or graphics that may cause parsing errors.
Submit your resume as a well-formatted PDF unless the application specifically requests another format, as Ashby handles standard PDFs reliably and preserves your intended formatting for human reviewers.
Complete all application fields thoroughly, including optional ones like LinkedIn URLs, GitHub profiles, and portfolio links — Ashby surfaces this supplementary information to recruiters and incomplete profiles may appear less committed.
Incorporate relevant keywords from the job description naturally throughout your resume, as Ashby enables recruiters to search and filter candidates by specific skills and terms — exact keyword matches can improve your visibility in candidate searches.
If the application includes free-text or short-answer questions, provide thoughtful, specific responses rather than generic answers — these responses are displayed alongside your resume in Ashby and can significantly influence whether a recruiter advances your application.

Complete Ashby Resume Guide

Interview Culture

Anyscale's interview process is commonly described as rigorous, technically deep, and intellectually stimulating — reflecting the company's origins in cutting-edge distributed systems research at UC Berkeley. Many applicants report that the process emphasizes not just coding ability but genuine understanding of systems design, scalability challenges, and the specific problem domain of distributed AI infrastructure. For engineering roles, candidates can typically expect a combination of coding interviews, systems design sessions, and deep technical discussions. Given the nature of Anyscale's work on Ray, interviewers may explore your understanding of distributed computing concepts like task scheduling, fault tolerance, data locality, and resource management. Don't be surprised if discussions touch on real-world scenarios involving scaling ML training across clusters or optimizing data pipelines — Anyscale's interview culture tends to favor practical, applied problem-solving over abstract algorithmic puzzles. For product and go-to-market roles, the interview process commonly includes strategic thinking exercises, case studies, and cross-functional conversations. Product managers may be asked to reason about developer experience trade-offs or platform roadmap prioritization. Account Executives and Solutions Engineers should be prepared to demonstrate technical credibility alongside commercial acumen. Culturally, Anyscale interviews tend to be collaborative rather than adversarial. Interviewers are often deeply knowledgeable engineers or researchers who genuinely enjoy discussing technical problems. Showing intellectual curiosity, asking thoughtful questions about Ray's architecture or Anyscale's technical challenges, and demonstrating a growth mindset are commonly valued. The company's culture appears to prize humility, technical depth, and a genuine passion for building infrastructure that makes AI more accessible.

What Anyscale Looks For

Deep technical expertise in distributed systems, cloud infrastructure, or ML engineering — candidates who understand the complexities of building and scaling distributed computing platforms
Familiarity with or enthusiasm for the Ray ecosystem and open-source distributed computing frameworks, demonstrating alignment with Anyscale's core technology
Strong Python proficiency, as Ray is Python-native and most of Anyscale's engineering work involves Python-based systems and tooling
Demonstrated ability to work at scale — experience with large clusters, high-throughput data processing, or production ML systems serving significant workloads
Open-source contribution mindset and community engagement, reflecting Anyscale's roots as an open-source-first company
Intellectual curiosity and a passion for solving hard infrastructure problems, consistent with the company's research-driven culture
Strong communication skills and ability to collaborate across teams, particularly important given the cross-functional nature of building a developer platform
Entrepreneurial mindset and comfort with ambiguity, as Anyscale operates in a rapidly evolving AI infrastructure market where priorities can shift quickly
Customer empathy and developer experience sensibility — understanding how infrastructure decisions impact the end-user experience for ML practitioners

Frequently Asked Questions

What is Anyscale and what does the company do?

Anyscale is the company behind Ray, the popular open-source framework for distributed computing and AI workloads. Founded by the creators of Ray from UC Berkeley's RISELab, Anyscale provides a managed platform that makes it easier for organizations to build, scale, and deploy AI applications. Their platform handles the complexity of distributed computing infrastructure so that data scientists and ML engineers can focus on their models and applications rather than infrastructure management.

Do I need experience with Ray to apply to Anyscale?

While direct Ray experience is a significant advantage, it's not necessarily a strict requirement for all roles. Many positions value transferable experience with distributed systems, parallel computing, or related frameworks like Apache Spark, Dask, or Kubernetes. However, demonstrating familiarity with Ray's concepts — even through self-study, tutorials, or personal projects — shows genuine interest and initiative. Before applying, consider exploring Ray's documentation, running through quickstart examples, or contributing to the open-source project to build relevant experience.

What ATS does Anyscale use, and how should I format my resume?

Anyscale uses Ashby as their applicant tracking system. To optimize your resume for Ashby, use a clean single-column layout with standard section headers, submit as a well-formatted PDF, and incorporate relevant keywords from the job description naturally throughout your resume. Avoid complex formatting elements like tables, multi-column layouts, or embedded graphics that may not parse correctly. Complete all application fields, including optional ones like GitHub and LinkedIn profiles.

What types of roles does Anyscale typically hire for?

Anyscale hires across a range of functions, with a strong emphasis on engineering. Current openings include software engineering roles across various teams (Ray Data, Platform Infrastructure, SRE), product management, security engineering, solutions engineering, customer engineering, marketing, and enterprise sales (Account Executive). Many roles are deeply technical, and even go-to-market positions like Account Executive and Events Marketing Manager typically require comfort with technical concepts and developer-focused audiences.

Does Anyscale hire internationally or only in the United States?

Based on their current job listings, Anyscale appears to hire in multiple locations. Some roles are specifically listed for Bengaluru, India (such as Customer Engineering - Machine Learning), while many others appear to be US-based. Check each individual job listing carefully for location requirements, remote work policies, and any visa sponsorship information. Location flexibility may vary by role and team.

How technical are Anyscale's interviews?

Anyscale's interviews are commonly reported to be quite technical, particularly for engineering roles. Expect systems design discussions focused on distributed computing challenges, coding exercises in Python, and deep-dive conversations about scalability, fault tolerance, and ML infrastructure. The company's academic roots mean interviewers often appreciate candidates who can discuss trade-offs thoughtfully and demonstrate genuine understanding of underlying computer science principles rather than just surface-level familiarity with tools.

How can I stand out as a candidate for Anyscale?

To differentiate yourself, demonstrate genuine engagement with the Ray ecosystem — contribute to the open-source project, write blog posts about distributed computing, or build projects using Ray. Quantify your past impact with specific metrics related to scale and performance. Show intellectual curiosity by asking thoughtful questions about Anyscale's technical challenges during interviews. For non-engineering roles, demonstrate strong technical credibility alongside your functional expertise. Finally, articulate a clear, authentic motivation for why you want to work on AI infrastructure specifically.

What is the company culture like at Anyscale?

Anyscale's culture is commonly described as technically rigorous, collaborative, and mission-driven. With roots in UC Berkeley's RISELab, the company blends academic depth with startup energy. Open-source values — transparency, community contribution, and knowledge sharing — appear to be deeply embedded in the culture. The team typically includes world-class distributed systems researchers and engineers, creating an environment where intellectual curiosity and technical excellence are highly valued. The company operates in the fast-moving AI infrastructure space, so comfort with rapid iteration and evolving priorities is important.

Should I include a cover letter when applying to Anyscale?

While not always explicitly required, including a thoughtful cover letter can help differentiate your application, especially if your background isn't a perfect match on paper. Use the cover letter to explain your specific interest in Anyscale and Ray, highlight relevant projects or experience that may not be fully captured in your resume, and demonstrate your understanding of the company's mission. Keep it concise — two to three focused paragraphs — and avoid generic language. If the Ashby application form includes a cover letter field, take advantage of it.

Sample Open Positions

Sources

Anyscale Careers Page — Anyscale (via Ashby)
Anyscale Official Website — Anyscale
Ray Documentation — An Open-Source Framework for Scaling AI — Ray Project / Anyscale
Ashby — All-in-One Recruiting Platform — Ashby
Ray GitHub Repository — GitHub / Ray Project