Find Anyscale Senior Software Engineer software engineering jobs

Anyscale commercializes Ray, a popular open-source project for scalable machine learning, making distributed computing accessible to developers.

Anyscale, backed by prominent investors with $250+ million in funding, is seeking a Technical Curriculum Developer to shape the future of distributed computing education. This role combines technical expertise in machine learning with educational content development, focusing on Ray and the Anyscale AI Platform.

The position requires a unique blend of technical prowess and educational expertise, with a minimum of 5 years of experience in Machine Learning and cloud computing technologies. You'll be responsible for creating comprehensive learning experiences that empower developers and data scientists to leverage Ray's capabilities effectively.

As a Technical Curriculum Developer, you'll manage learning tools and platforms, design technical curricula for ML Engineers and AI Engineers, and translate complex technical concepts into accessible learning content. The role demands proficiency in Python programming and hands-on experience with data science libraries like XGBoost and TensorFlow.

The company offers an attractive compensation package including stock options, comprehensive healthcare coverage, 401k, education stipends, and various other benefits. Working in a hybrid environment, you'll collaborate with technical experts to create innovative training content that drives the adoption of Ray and Anyscale's platform.

This is an excellent opportunity for someone passionate about both technology and education, wanting to impact how developers learn and implement distributed computing solutions. You'll be at the forefront of AI infrastructure education, helping shape how the next generation of developers harness scalable computing power.

Technical Curriculum Developer position at Anyscale, focusing on creating educational content for Ray and AI platform users.

Technical Curriculum Developer

Anyscale, backed by Andreessen Horowitz, NEA, and Addition with $250+ million in funding, is revolutionizing distributed computing through Ray, their open-source project. As a Deep Learning Performance Engineer, you'll be at the forefront of optimizing cutting-edge ML models, working with companies like OpenAI, Uber, and Spotify. This role is crucial for maintaining Anyscale's market-leading performance in AI infrastructure.

The position demands expertise in GPU/CUDA programming, deep learning frameworks, and system optimizations. You'll collaborate with product and research teams, implementing state-of-the-art practices in LLM engines. The role offers exciting opportunities to work with advanced technologies like vLLM and TensorRT-LLM.

The company provides comprehensive benefits including competitive equity, healthcare coverage, and various stipends for wellness and education. Located in San Francisco, you'll join a team dedicated to democratizing distributed computing and making it accessible to developers of all skill levels. This is an excellent opportunity for those passionate about performance engineering in AI and distributed systems.

Additional valued skills include ML Systems knowledge, experience with deep learning model training, and contributions to frameworks like PyTorch or TensorFlow. Experience with Ray or deep learning compilers would be advantageous. The role offers competitive compensation ranging from $170,112 to $237,000, reflecting Anyscale's data-driven and transparent approach to compensation.

Senior Deep Learning Performance Engineer role at Anyscale, focusing on optimizing ML models and building high-performance AI infrastructure systems.

Deep Learning Performance Engineer

Anyscale is commercializing Ray, a popular open-source project for scalable machine learning, democratizing distributed computing for software developers.

At Anyscale, we're building the best place to run Ray, democratizing distributed computing for software developers of all skill levels. We're seeking a Senior Full-Stack Software Engineer to join our Foundation Team, focusing on Enterprise Governance and Security. In this role, you'll shape the future of AI governance by building enterprise-grade tools for security, observability, and integrations at scale. You'll work on projects such as developing secure access and permissions systems, cost and usage optimization, and ensuring high levels of observability and automation within AI and ML-driven applications. We're looking for candidates with 5+ years of full-stack software engineering experience, expertise in SSO, RBAC, IAM, and permission systems, and familiarity with cost tracking and billing systems. Anyscale offers competitive compensation, including stock options, comprehensive healthcare, 401k, wellness and education stipends, paid parental leave, and flexible time off. Join us in transforming how enterprises leverage AI responsibly and efficiently.

Senior Full-Stack Software Engineer for Enterprise Governance and Security at Anyscale, building AI governance tools and secure systems.

Software Engineer, Enterprise Governance (Full-Stack)

Anyscale is on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We're commercializing Ray, a popular open-source project creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, and Cruise use Ray in their tech stacks to accelerate AI applications.

As a Consulting Engineer at Anyscale, you'll be a core member of the team, contributing to customer implementations across the ML Ops lifecycle. Your responsibilities will include technical architecture assessment, model design and testing, deployment architectures, integration, debugging, and production operations. You'll also deliver classroom-based training, work with cross-functional teams, and influence the product roadmap.

The ideal candidate has:
- BS, MS, or PhD in Computer Science or related fields (or equivalent experience)
- 5+ years of hands-on experience delivering services to customers
- Excellent knowledge of Machine Learning and Deep Learning architectures and frameworks
- Experience with Python, MLOps, DevOps, virtualization, Docker, and Kubernetes in cloud environments
- Strong presentation, communication, and collaboration skills

Anyscale offers competitive compensation and benefits, including:
- Salary range: $222,010 - $275,057 per year
- Stock Options
- Comprehensive healthcare plans (99% covered for employees and dependents)
- 401k Retirement Plan
- Wellness and Education stipends
- Paid Parental Leave and Time Off
- Commute reimbursement
- In-office meals covered

Join Anyscale and be part of a team that's shaping the future of distributed computing and AI applications!

Join Anyscale as a Consulting Engineer to democratize distributed computing and advance AI applications using Ray.

Consulting Engineer

Anyscale is on a mission to democratize distributed computing and make it accessible to software developers of all skill levels, commercializing Ray, a popular open-source project for scalable machine learning.

Anyscale, backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised, is seeking exceptional AI/ML Engineers to join their hybrid research and product development team. In this role, you will collaborate with cross-functional teams to expand the usability of open source LLMs within Anyscale's ecosystem for enterprise applications. You'll experiment with models, build features for fine-tuning and inference, and work directly with customers to push the boundaries of their LLM use cases on Anyscale's AI platform.

Key responsibilities include:
- Designing, developing, and deploying cutting-edge AI/ML solutions for enterprise applications
- Contributing to features for fine-tuning and inference of LLMs
- Collaborating with customers to understand their needs and help them grow their use cases
- Conducting experiments to push the practical boundaries of open source LLMs
- Improving the performance, scalability, and usability of the AI platform
- Creating technical documentation and case studies

Qualifications:
- Master's degree with 3+ years of experience, or Ph.D. in a relevant field
- Strong technical skills in LLM architecture, training, and inference
- Hands-on experience with LLM training, fine-tuning, or inference optimization
- Experience with observability, monitoring, and debugging LLM systems
- Excellent technical writing skills
- Proactive, self-driven, and adaptable to a startup environment

Anyscale offers competitive compensation, including a salary range of $170,112 ~ $237,000, stock options, comprehensive healthcare plans, 401k, wellness and education stipends, paid parental leave, flexible time off, and more. The company is based in San Francisco, CA, with employees required to come to the office 3 times a week.

Join Anyscale and be part of a team that's making distributed computing and AI accessible to developers worldwide!

AI/ML Engineer role at Anyscale, focusing on expanding open source LLM usability for enterprise applications.

Anyscale Senior Software Engineer Software Engineering Jobs

Find Anyscale Senior Software Engineer software engineering jobs