Jobs at Anyscale

255 open positions

Browse 225 current job openings at Anyscale. View positions with transparent salary information, job description sentiment analysis, and key phrase insights to help you make an informed career decision.

Solutions Architect

Company: Anyscale

Location: Remote

Posted Mar 19, 2024

Anyscale is a company that aims to democratize distributed computing, commercializing Ray, an open-source project for scalable machine learning. They are backed by prominent investors and are looking for a Solutions Architect with 5+ years of pre- and post-sales experience. The role involves working closely with sales, product management, and engineering, building product demos, and educating customers on Ray. The target salary is $145,000- $223,631, with comprehensive benefits including stock options, healthcare, 401k, wellness stipend, education stipend, paid parental leave, paid time off, commute reimbursement, and in-office meals.

Software Engineer (Ray Core)

Company: Anyscale

Location: San Francisco, CA

Posted Mar 17, 2024

Anyscale is a company that aims to democratize distributed computing and make it accessible to software developers. They are commercializing Ray, a popular open-source project, and are looking for engineers to contribute to the Ray backend. The company offers competitive compensation and benefits, including equity, healthcare, and education stipends.

Staff Software Engineer / Tech Lead Manager

Company: Anyscale

Location: San Francisco, CA

Posted Mar 20, 2024

Anyscale is a company based in San Francisco, CA, that aims to democratize distributed computing by commercializing Ray, an open-source project. They are hiring Staff Software Engineers for roles in distributed systems, observability, production serving, site reliability, and developer productivity. The company is backed by prominent investors and offers competitive compensation, benefits, and a world-class company culture.

Product Manager (Ray)

Company: Anyscale

Location: San Francisco, CA

Posted Mar 13, 2024

<p><b>About Anyscale<b><p> <p><br ><p> <p><span>At <span>Anyscale<span> were on a mission to democratize distributed computing and make it accessible to software developers of all skill levels Were commercializing <span>Ray<span> a popular opensource project thats creating an ecosystem of libraries for scalable machine learning Companies like <span>OpenAI<span> <span>Uber<span> <span>Spotify<span> <span>Instacart<span> <span>Cruise<span> and many more have Ray in their tech stacks to accelerate the progress of AI applications out into the real world<span><p> <p><br ><p> <p><span>With Anyscale were building the best place to run Ray so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert<span><p> <p><br ><p> <p><span>Proud to be backed by <span>Andreessen Horowitz NEA and Addition with <span>$250+ million raised to date<span><p> <p><br ><p> <p>Anyscale is based in San Francisco CA Employees are required to come in office 3x a week<p> <p><br ><p> <p><b>Mission<b><span> Lead the evolution of the Ray open source project empowering a global community of machine learning engineers with cuttingedge distributed computing capabilities Through strategic vision deep technical expertise and collaborative leadership drive innovation foster adoption and revolutionize the way distributed systems are utilized in machine learning applications<span><p> <p><br ><p> <p><span>As a Product Manager for the Ray open source project at Anyscale you will play a pivotal role in driving the strategic direction development and adoption of Ray the distributed computing framework that is becoming industry standard among AI luminaries and rising AI stars You will have significant depth and breadth of ownership shaping the future of Ray and its ecosystem This opportunity to make a huge impact for developers is perfect for a highly seasoned product leader with a deep understanding of machine learning engineering and Rays capabilities<span><p> <p><b>Responsibilities<b> <p><ul><li>Define and execute the product strategy for Ray aligning with Anyscales overarching goals and industry trends<li> <li>Collaborate closely with worldclass machine learning engineers to understand their needs and incorporate their feedback into the product roadmap<li> <li>Champion Ray within the open source community fostering collaboration engagement and adoption<li> <li>Drive the development and delivery of new features enhancements and updates to Ray ensuring a magical user experience<li> <li>Measure the success and impact of Ray continuously optimizing its performance and usability<li> <li>Act as a subject matter expert on Ray and distributed computing providing guidance and support to internal teams external contributors and users<li> <li>Stay abreast of market developments emerging technologies and competitor offerings to inform product decisions and maintain Rays competitive edge<li> <li>Make high quality decisions quickly and efficiently and manage stakeholders to ensure that we stay focused on our key objective and metrics<li> <li>Deliver crisp communication about Ray both internally and externally<li> <ul><p><b>Qualifications<b> <p><ul><li>Extensive experience in product management with a proven track record of leading successful open source projects or distributed systems<li> <li>Exceptional understanding of machine learning engineering principles frameworks and best practices<li> <li>Deep familiarity with Ray or similar distributed computing frameworks demonstrating the ability to leverage its capabilities effectively<li> <li>Strong leadership skills with the ability to inspire and collaborate with crossfunctional teams and community members<li> <li>Excellent communication and interpersonal skills capable of articulating complex concepts clearly and persuasively<li> <li>Strategic mindset with the ability to think critically prioritize effectively and drive results in a fastpaced dynamic environment<li> <ul><p><b>Compensation<b> <p><ul><li>At Anyscale we take a marketbased approach to compensation We are datadriven transparent and consistent The target salary for this role is $208000$239120 As the market data changes over time the target salary for this role may be adjusted<li> <p><br ><p> <p>This role is also eligible to participate in Anyscales Equity and Benefits offerings including the following<p> <p><br ><p> <li>Stock Options<li> <li>Healthcare plans with premiums covered by Anyscale at 99 for both employees and dependents<li> <li>401k Retirement Plan<li> <li>Wellness stipend<li> <li>Education stipend<li> <li>Paid Parental Leave<li> <li>Flexible Time Off<li> <li>Commute reimbursement<li> <li>100 of inoffice meals covered<li> <ul><p> <p><p><i>Anyscale Inc is an Equal Opportunity Employer Candidates are evaluated without regard to age race color religion sex disability national origin sexual orientation veteran status or any other characteristic protected by federal or state law<i> <p> <p><br ><p> <p><i><b>Anyscale Inc is an EVerify company and you may review the <b><i><i><b>Notice of EVerify Participation<b><i><i><b> and the <b><i><i><b>Right to Work posters in English and Spanish<b><i><p> <p><p>

Staff Software Engineer / Tech Lead Manager

Company: Anyscale

Location: San Francisco, CA

Posted Dec 10, 2023

Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. We are data-driven, transparent, and consistent. As the market data changes over time, the target salary for this role may be adjusted. Experience working with a cloud technology stack (AWS, GCP, Kubernetes) Experience building machine learning training pipelines or inference services in a production setting Experience with big data tools (Spark, Flink, Hadoop) Experience managing small teams in pursuit of an ambitious technical goal Compensation At Anyscale, we take a market-based approach to compensation. This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following: Stock Options Healthcare plans, with premiums covered by Anyscale at 99% 401k Retirement Plan Wellness stipend Education stipend Paid Parental Leave Flexible Time Off Commute reimbursement 100% of in office meals covered Anyscale Inc. is an Equal Opportunity Employer. Anyscale is based in San Francisco, CA. The target salary for this role is $237,000 ~ $284,614. As part of this role, you will: Develop high-quality software to empower software developers and simplify programming through the Anyscale platform Work on difficult architectural problems and turn them into reality Work with a team of leading experts in the areas of distributed systems and machine learning Communicate your work to a broader audience through talks, tutorials, and blog posts You like to work closely with end users and iterate on the product with them Help us build and shape a world-class company We'd love to hear from you if you have: You have 5+ years of building, scaling and maintaining software systems in production environments Solid fundamentals in algorithms, data structures, system design Experience designing fault-tolerant distributed systems Strong architectural skills Bonus Points! If the idea of an infinite laptop appeals to you, let's build the future of software development together. We're hiring exceptional Staff Software Engineers for a variety of open roles, including: - Distributed systems - Observability - Production serving - Site Reliability - Developer Productivity We are particularly looking for staff and above candidates who can help lay down solid architectural foundations for the future of Ray and Anyscale.

Deep Learning Performance Engineer

Company: Anyscale

Location: San Francisco, CA

Posted Mar 11, 2024

<p><b>About Anyscale<b><p> <p><br ><p> <p><span>At <span>Anyscale<span> were on a mission to democratize distributed computing and make it accessible to software developers of all skill levels Were commercializing <span>Ray<span> a popular opensource project thats creating an ecosystem of libraries for scalable machine learning Companies like <span>OpenAI<span> <span>Uber<span> <span>Spotify<span> <span>Instacart<span> <span>Cruise<span> and many more have Ray in their tech stacks to accelerate the progress of AI applications out into the real world<span><p> <p><br ><p> <p><span>With Anyscale were building the best place to run Ray so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert<span><p> <p><br ><p> <p><span>Proud to be backed by <span>Andreessen Horowitz NEA and Addition with <span>$250+ million raised to date<span><p> <p><br ><p> <p>Anyscale is based in San Francisco CA Employees are required to come in office 3x a week<p> <p><br ><p> <p><b>About the role<b><p> <p><br ><p> <p>As a Deep Learning Performance Engineer you will help build systems and optimizations that push the boundaries of performance across cutting edge ML models This is an incredibly critical role to Anyscale as it allows us to provide market leading performance and price point for AI infrastructure <p> <p><b>As part of this role you will<b> <p><ul><li>Iterate very quickly with product teams to ship the latest optimizations to Anyscale platform Anyscale Endpoints and various open source offerings<li> <li>Work closely with research teams on LLM engines like vLLM TensorRTLLM<li> <li>Follow the latest stateoftheart in the open source and the research community implementing and extending best practices <li> <ul><p><b>Wed love to hear from you if you have<b> <p><ul><li>Prior experience working on GPUs CUDA <li> <li>Solid understanding of operating systems andor networking fundamentals and experience in such optimizations<li> <li>Familiarity with deep learning and deep learning frameworks eg PyTorch<li> <ul><p><b>Bonus points<b> <p><ul><li>ML Systems knowledge<li> <li>Experience training deep learning models<li> <li>Contributions to deep learning frameworks PyTorch TensorFlow<li> <li>Contributions to deep learning compilers Triton TVM MLIR<li> <li>Experience using Ray<li> <ul><p><b>Compensation<b> <p><ul><li>At Anyscale we take a marketbased approach to compensation We are datadriven transparent and consistent The target salary for this role is $170112 ~ $237000 As the market data changes over time the target salary for this role may be adjusted <li> <p><br ><p> <p>This role is also eligible to participate in Anyscales Equity and Benefits offerings including the following<p> <li>Stock Options<li> <li>Healthcare plans with premiums covered by Anyscale at 99<li> <li>401k Retirement Plan<li> <li>Wellness stipend<li> <li>Education stipend<li> <li>Paid Parental Leave<li> <li>Flexible Time Off<li> <li>Commute reimbursement<li> <li>100 of inoffice meals covered<li> <ul><p> <p><p><i>Anyscale Inc is an Equal Opportunity Employer Candidates are evaluated without regard to age race color religion sex disability national origin sexual orientation veteran status or any other characteristic protected by federal or state law<i> <p> <p><br ><p> <p><i><b>Anyscale Inc is an EVerify company and you may review the <b><i><i><b>Notice of EVerify Participation<b><i><i><b> and the <b><i><i><b>Right to Work posters in English and Spanish<b><i><p> <p><p>

Research Engineer (Generative AI )

Company: Anyscale

Location: San Francisco, CA

Posted Dec 06, 2023

Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. We are data-driven, transparent, and consistent. Solid fundamentals in algorithms, data structures, system design Domain expertise in LLMs and generative AI. As the market data changes over time, the target salary for this role may be adjusted. Experience working with systems engineering aspects of LLMs (e.g. Help us build a world class company. distributed training, autoscaling inference etc) Experience with approaches to LLM model improvement and fine tuning (such as LoRA and RLHF) Published research in the Gen AI space Experience using Ray Compensation At Anyscale, we take a market-based approach to compensation. The target salary for this role is $170,112 ~ $237,000. This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:Stock Options Healthcare plans, with premiums covered by Anyscale at 99% 401k Retirement Plan Wellness stipend Education stipend Paid Parental Leave Flexible Time Off Commute reimbursement 100% of in office meals covered Anyscale Inc. is an Equal Opportunity Employer. Push the boundaries of existing LLM applications (e.g.

Research Engineer (Endpoints)

Company: Anyscale

Location: San Francisco, CA

Posted Mar 16, 2024

Anyscale is a company based in San Francisco, CA, that aims to democratize distributed computing and make it accessible to all developers. They are commercializing Ray, an open-source project used by companies like OpenAI, Uber, Spotify, and Instacart. Anyscale is hiring exceptional Software Engineers and Research Engineers to build out their LLM offering, focusing on high-performance LLM inference. The role involves building extensions to existing open-source LLMs, pushing the boundaries of existing LLM applications, developing features for production deployment, and improving the quality of LLM applications. The target salary for this role is between $170,112 and $237,000, with additional benefits including healthcare plans, 401k retirement plan, wellness stipend, education stipend, paid parental leave, flexible time off, commute reimbursement, and 100% of in-office meals covered.

Software Engineer (Ray Core)

Company: Anyscale

Location: San Francisco, CA

Posted Dec 07, 2023

Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. We are data-driven, transparent, and consistent. The team works on a balance of new features / distributed libraries, test infra improvements, debugging, and longer-term architectural improvements to Ray. As the market data changes over time, the target salary for this role may be adjusted. About the Runtime team: The Runtime team develops and maintains the Ray C++ backend (e.g., distributed scheduler, language runtime integration, I/O and memory subsystems). A snapshot of projects you can work on: - Optimizing performance of large-scale workloads on Ray - Stability and stress testing infrastructure - Improving fault tolerance (HA) As part of this role, you will: Develop high quality open source software to simplify distributed programming (Ray) Identify, implement, and evaluate architectural improvements to Ray core Improve the testing process for Ray to make releases as smooth as possible Communicate your work to a broader audience through talks, tutorials, and blog posts We'd love to hear from you if have: At least 2 year of relevant work experience Solid background in algorithms, data structures, system design Experience in building scalable and fault-tolerant distributed systems Compensation At Anyscale, we take a market-based approach to compensation. This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following: Stock Options Healthcare plans, with premiums covered by Anyscale at 99% 401k Retirement Plan Wellness stipend Education stipend Paid Parental Leave Paid Time Off Commute reimbursement 100% of in office meals covered Anyscale Inc. is an Equal Opportunity Employer. We are responsible for the reliability, scalability, and performance of Ray as well as ensuring that Ray provides the right feature set to support higher level libraries and use cases. Anyscale is based in San Francisco, CA. The target salary for this role is $170,112 ~ $237,000.

Tech Lead Manager (Security)

Company: Anyscale

Location: San Francisco, CA

Posted Mar 15, 2024

<p><b>About Anyscale<b><p> <p><br ><p> <p><span>At <span>Anyscale<span> were on a mission to democratize distributed computing and make it accessible to software developers of all skill levels Were commercializing <span>Ray<span> a popular opensource project thats creating an ecosystem of libraries for scalable machine learning Companies like <span>OpenAI<span> <span>Uber<span> <span>Spotify<span> <span>Instacart<span> <span>Cruise<span> and many more have Ray in their tech stacks to accelerate the progress of AI applications out into the real world<span><p> <p><br ><p> <p><span>With Anyscale were building the best place to run Ray so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert<span><p> <p><br ><p> <p><span>Proud to be backed by <span>Andreessen Horowitz NEA and Addition with <span>$250+ million raised to date<span><p> <p><br ><p> <p>Anyscale is based in San Francisco CA Employees are required to come in office 3x a week<p> <p><br ><p> <p><b>About the role<b><p> <p>As a Product Security Engineer Leader on our team youll be in charge of leading the team architecting and building secure products that will be used to run missioncritical applications as well as in charge of establishing and implementing security best practices and policies throughout the company<p> <p><br ><p> <p>Our goal is to enable many more developers to take advantage of distributed computing and machine learning to tackle harder problems without needing to think about systems and infrastructure and instead to just focus on the problems that they are solving Youll play an integral role in making this happen<p> <p><br ><p> <p><b>As part of this role you will<b> <p><ul><li>Help us build and ship our first product<li> <li>Take charge of application security including everything from architecting and building secure products to designing our incident response policy to securely configuring our cloud providers<li> <li>Take charge of corporate security including everything from creating offboarding policies to making sure our software tools are locked down to ensuring our devices have reasonable endpoint protection<li> <li>Work with the rest of the engineering team to make sure we have the necessary context to avoid introducing security bugs<li> <ul><p><b>Wed love to hear from you if you have<b> <p><ul><li>Experience with enterprise application security and have built secure products for enterprise<li> <li>Experience with corporate security<li> <li>Leadership experience<li> <li>Extensive experience with cloud providers<li> <li>Software development experience ability to build <i>and<i> assess things<li> <li>Strong communication skills and can effectively share your work with a broader audience through writing and speaking<li> <li>You have engaged and led certification processes eg HIPAA SOC SOC2 FedRAMP<li> <ul><p><b>Compensation<b> <p><ul><li>At Anyscale we take a marketbased approach to compensation We are datadriven transparent and consistent The target base salary for this role is $238000 $285000 As the market data changes over time the target salary for this role may be adjusted<li> <p><br ><p> <p>This role is also eligible to participate in Anyscales Equity and Benefits offerings including the following<p> <li>Stock Options<li> <li>Healthcare plans with premiums covered by Anyscale at 99 for both employees and dependents<li> <li>401k Retirement Plan<li> <li>Wellness stipend<li> <li>Education stipend<li> <li>Paid Parental Leave<li> <li>Flexible Time Off<li> <li>Commute reimbursement<li> <li>100 of inoffice meals covered<li> <ul><p> <p><p><i>Anyscale Inc is an Equal Opportunity Employer Candidates are evaluated without regard to age race color religion sex disability national origin sexual orientation veteran status or any other characteristic protected by federal or state law<i> <p> <p><br ><p> <p><i><b>Anyscale Inc is an EVerify company and you may review the <b><i><i><b>Notice of EVerify Participation<b><i><i><b> and the <b><i><i><b>Right to Work posters in English and Spanish<b><i><p> <p><p>

ML Tech Lead

Company: Anyscale

Location: San Francisco, CA

Posted Dec 08, 2023

Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. We are data-driven, transparent, and consistent. Our team is the most user-facing engineering team on the open source side, collaborating with ML engineering teams at organizations like Shopify, Uber, and Bytedance. Specifically, our team maintains and develops features for a broad number of libraries — including Ray Train (distributed deep learning), Ray Tune (distributed hyperparameter tuning), and XGBoost-on-Ray. As the market data changes over time, the target salary for this role may be adjusted. Experience working with a cloud technology stack (AWS, GCP, Kubernetes) Experience building machine learning training pipelines or inference services in a production setting Experience with managing and maintaining open source machine learning libraries Experience managing small teams in pursuit of an ambitious technical goal Experience using Ray Compensation At Anyscale, we take a market-based approach to compensation. As part of this role, you will: Build performant, scalable, fault-tolerant distributed machine learning libraries that power the next generation of machine learning platforms around the world Work on difficult architectural problems and turn them into reality Work with a team of leading experts in the areas of distributed systems and machine learning Work with engineering managers and product managers to lead and grow an extremely talented team of software engineers Work closely with open source community (with ML researchers, ML engineers, data scientists) to scope and build new abstractions for scalable machine learning You like to work closely with end users and iterate on the product with them Help us build and shape a world-class company We'd love to hear from you if you have: 7+ years of building, scaling and maintaining software systems in production environments Solid fundamentals in algorithms, data structures, system design Experience with machine learning frameworks and libraries (PyTorch, Tensorflow) Experience designing fault-tolerant distributed systems Strong architectural skills Bonus points! This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following: Stock Options Healthcare plans, with premiums covered by Anyscale at 99% 401k Retirement Plan Wellness stipend Education stipend Paid Parental Leave Flexible Time Off Commute reimbursement 100% of in office meals covered Anyscale Inc. is an Equal Opportunity Employer. About the Distributed Training team: The team's mission is to make it really easy to do distributed machine learning on Ray and Anyscale. Anyscale is based in San Francisco, CA.

Account Development Representative

Company: Anyscale

Location: San Francisco, CA

Posted Apr 03, 2024

Anyscale is a company based in San Francisco, CA, that aims to democratize distributed computing by commercializing Ray, an open-source project for scalable machine learning. They are seeking an Account Development Representative with at least 3 years of experience, preferably in technical sales, to join their high-energy, fast-paced sales team. The role involves prospecting, lead generation, pipeline nurturing, and collaboration with the sales team. The compensation includes a target salary of $120,000 OTE, stock options, healthcare plans, 401k, wellness stipend, education stipend, paid parental leave, flexible time off, commute reimbursement, and 100% covered in-office meals.

Frequently Asked Questions

How many jobs are open at Anyscale?
Check our Anyscale page for the latest count of open positions. New jobs are added as Anyscale posts transparent listings.
Does Anyscale offer remote positions?
Many positions at Anyscale may offer remote or hybrid arrangements. Check individual job listings for details on work location flexibility.
What is it like to work at Anyscale?
Browse our Anyscale job listings to see salary transparency, sentiment analysis of job descriptions, and key insights to help evaluate the company.

Other Companies Hiring