AI/ML Engineer, Anyscale
Large Language Models
$170.1-237k
+ Equity
3 days a week in office
Scalable compute for AI and Python
Job no longer available
Scalable compute for AI and Python
201-500 employees
Job no longer available
$170.1-237k
+ Equity
3 days a week in office
201-500 employees
Company mission
To make scalable computing effortless.
Role
Who you are
- Master’s degree with at least 3+ years of experience, or Ph.D. in a relevant field
- Strong technical skills, with a keen eye for API design and a deep understanding of LLM architecture, training, and inference
- Had hands on experience on at least one of the following topics:
- Training: LLM Pretraining, LLM fine-tuning, RLHF, distillation, parameter-efficient methods like LoRA, quantization, etc
- Inference: Building inference engine / server, Writing optimized kernels, inference + training co-optimizations (speculative decoding), etc
- Have experience with observability, monitoring, debugging, and measuring success for LLM training / inference systems
- Excellent technical writing skills, with the ability to create clear, concise, and engaging documentation for various audiences
- Proactive and self-driven, with a strong sense of ownership over the systems you work on
- Adaptable to the ever-changing startup environment, embracing pivots and new challenges
- Strong problem-solving skills and the ability to thrive in a collaborative environment
What the job involves
- We are seeking exceptional AI/ML Engineers to join our hybrid research and product development team
- In this role, you will collaborate closely with cross-functional teams to expand the usability of open source LLMs within Anyscale’s ecosystem for enterprise applications
- You will have the opportunity to experiment directly with models, build features for fine-tuning and inference, and work hand-in-hand with customers to push the boundaries of their LLM use cases on our AI platform
- Design, develop, and deploy cutting-edge AI/ML solutions for enterprise applications, making it easy and self-sufficient for customers to adopt AI in their applications
- Contribute to the development of features and enhancements for fine-tuning and inference of LLMs, ensuring a clear value proposition, elegant API design, and intuitive user experience
- Collaborate with customers to understand their needs, help them grow their use cases on our platform, and enable them to achieve their desired outcomes
- Conduct experiments and research to push the practical boundaries of open source LLMs within Anyscale’s ecosystem
- Continuously improve the performance, scalability, and usability of our AI platform, adopting a full-stack approach to deliver value for LLM platform features
- Create top-notch technical documentation, including design docs for internal discussions, engineering docs and tutorials for customers, and compelling data-driven case studies for marketing purposes
- Drive influence through meetings, mentorship, collaboration, and other non-coding activities
Our take
Anyscale operates at the heart of the rapidly expanding AI infrastructure market, where organizations increasingly need systems build to handle large-scale, multimodal, and compled Ai workloads. Founded by the original creators of Ray - and open-source distributed computing framework powering companies like Netflix, Uber, and OpenAI - Anyscale was built to overcome the "AI complexity wall" that legacy compute can't handle. And its providing an AI-native platform that can scale seamlessly from as ingle machine to thousands of GPUs.
The company's impact come from making distributed AI development faster, easier, and far more efficient. By pairing Ray's flexible compute framework with managed clusters, advanced developer tooling, and performance optimization, Anyscale removes the operational burden of scaling AI. Companies like Canva, Recursion, and RunwayML have seen dramatic gains in utilization, speed and cost. So it's fair to say Anyscale has helped teams deliver AI applications faster and with greater reliability.
The company recently strengthened its position through major partnerships with Azure, CoreWeave, and Google CLoud, bringing AI-native compute directly into enterprise environments. New capabilities like RayTurbo, Kubernetes-native deployment, and first-party managed Ray services make it easier than ever to run high-performance AI at dscale. With model sizes and multimodal workloads growing rapidly, Anyscale is in a good position to remain a foundational platform for organizations building the next generation of AI systems.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
133% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Aug 2022
$99m
SERIES C
Dec 2021
$100m
SERIES C
Total funding: $259.6m
Company benefits
- Health, Vision, and Dental Care: We offer a wide range of health, dental, and vision coverage options for you and your family—including many plans that are 99% covered by Anyscale
- Fertility Benefits & Paid Parental Leave: Anyscalers can access fertility benefits through Kindbody. Team members can take advantage of 12 weeks of paid leave following the arrival of a new little one.
- Flexible Time Off: We believe all team members should be able to rest up and recharge when needed, which is why we’ve embraced a flexible time off policy at Anyscale.
- Learning & Wellness Stipend: We believe in investing in our #1 asset: our people. We offer a monthly learning and wellness stipend so employees can better themselves at work or pursue personal interests.
- In-Office Meals: Lunch is served everyday in our San Francisco and Palo Alto Offices. Dinner, too, if you’re ever working late. And did we mention boba runs?
- Commute Reimbursement: Whether you’re hopping on public transit or driving yourself to work, Anyscale covers a portion of your commuting costs each month.
- Paid Volunteer Time Off: Give back to the causes and communities you love with paid time off specifically for volunteer work.
- Mental Health Benefits: All Anyscalers can take advantage of included mental health benefits through our Headspace offering.
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Phillip Moritz
(Co-Founder & CTO)Phillip graduated from the University of California, Berkeley with a PhD in Computer Science.
Keerti Melkote
(CEO)Prior to joining Anyscale in 2024, Keerti spent 5 years at Hewlett Packard Enterprise at the President of Intelligent Edge. He also co-founded Aruba Networks where he spent nearly 20 years in roles including CTO and CEO.
Jooree Na
(CFO)Prior to joining Anyscale in 2024, Jooree spent over 5 years at Confluent, joining as a Director of Technical Accounting & Reporting before working through different roles and becoming the VP of Finance.
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