Engineering Manager, Anyscale
Observability, TLM
$202-237k
+ Equity
3+ days a week in office
Scalable compute for AI and Python
Open for applications
Scalable compute for AI and Python
201-500 employees
Open for applications
$202-237k
+ Equity
3+ days a week in office
201-500 employees
Company mission
To make scalable computing effortless.
Role
Who you are
- Proficiency in backend or full stack development, including experience with web API frameworks and databases
- Proficiency in Python or an ability to quickly learn new programming languages
- Good understanding of AI and machine learning concepts
- Experience with observability tools and monitoring solutions (e.g., Datadog, Splunk, AWS CloudWatch)
- Familiarity with Ray or similar distributed systems frameworks
- Solid background in debugging, architecture design, and coding
- Excellent problem-solving skills and a collaborative mindset
- Passion for building tools that enhance user experience and optimize workflows
What the job involves
- We are seeking a TLM or Manager to join our team focused on building user-facing application features for the Anyscale AI platform
- The role involves interacting with users, understanding their requirements, designing and implementing features, and finally maintaining and improving these features over time
- The backend of the platform generally deals with implementing the core business logic of these features
- The Workspace & Observability Team is dedicated to empowering clients to create robust AI applications using our powerful platform built on Ray
- We are a collaborative group of experts committed to providing bespoke monitoring tools and integrations that enhance the development lifecycle. In particular, these tools accelerate the process of writing, debugging, deployment, and monitoring of AI applications
- Observability in a distributed cluster can deal with a ton of data. There are a ton of interesting problems to solve around how to ingest, aggregate, format, and ultimately present that data to our users in a digestible way
- With Ray and Anyscale, we have the opportunity to provide great tools out of the box for our users. Join us in shaping the future of AI application development!
- A snapshot of projects you may work on
- The Ray Dashboard observability tool which gives users insight into their Ray application including what code is running in which machine, how much data is being moved between various machines, and the hardware utilization of each machine
- Library-specific observability tools like the Ray Train dashboard or Ray Serve dashboard which accelerates our users ability to develop distributed training or model serving applications
- Unified log viewer, a tool that ingests logs across a ray cluster and presents the ability to query those logs in meaningful ways, such as by function name, log level, timestamp, or machine
- Anomaly detection. The ability for the Anyscale platform to automatically detect performance bottlenecks or bugs in our users workloads and suggest or automatically fix these issues
- Work with a team of leading distributed systems and machine learning experts
- Communicate your work to a broader audience through talks, tutorials, and blog posts
- Help us to build and shape a world class company
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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