paced, collaborative, and dynamic environment. Nice to haves: Prior experience with PCB design, EDA tools, or related optimization problems. Hands-on experience in high-performance computing environments (e.g., Kubernetes, Ray, Dask). Contributions to open-source projects, publications, or top placements in ML competitions (e.g., Kaggle). Expertise in related fields such as Computer Vision, Representation Learning, or Simulation Environments. More ❯
data modeling, architecture, and processing unstructured data. Experience with processing 3D geometric data. Experience with large-scale, data-intensive systems in production. Knowledge of distributed computing frameworks (Spark, Dask, Ray). Experience with cloud platforms (AWS, Azure, GCP). Proficiency with Docker, Linux, and bash. Ability to document code, architectures, and experiments. Preferred Qualifications Experience with databases and data warehousing More ❯
environments) Hands-on with Docker, Kubernetes, and Terraform Strong scripting skills in Python or Bash Familiar with ML lifecycle tools, model monitoring, and versioning Exposure to tools like KServe, Ray Serve, Triton, or vLLM is a big plus Bonus Points Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP More ❯
Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at Our Value Our Single Altos Value: Everyone More ❯
user base. As a team, we are a collaborative, cross-functional group with backgrounds in information retrieval, natural language processing, and distributed systems. We work with Go microservices, Python, Ray Serve, Kubernetes/KubeRay, and work on AWS, GCP & Azure. We provide thought leadership across a variety of mediums including open code repositories, publishing blogs, and speaking at conferences. We … transition What You Bring 5+ years working in an MLOps or related ML Engineering role Production experience self-hosting & operating models at scale via an inference framework such as Ray or KServe (or similar) Production experience with running and tuning specialized hardware, especially GPUs via CUDA Nice-to-have: Production experience of self-hosting inference for LLMs in a production More ❯
high-quality data flows through the pipeline. Collaborate with research to define data quality benchmarks . Optimize end-to-end performance across distributed data processing frameworks (e.g., Apache Spark, Ray, Airflow). Work with infrastructure teams to scale pipelines across thousands of GPUs . Work directly with the leadership on the data team roadmaps. Manage the team of data engineers. More ❯
Ability to convert customer requirements or business challenges into well-defined machine learning solutions We are using many technologies day to day such as various AWS services, GCP, Kubernetes, Ray Serve, Kubeflow, and ReTool. Any experience in these areas would be a bonus Sprout.ai Values Hungry for Growth - Unleash your inner Sprout: Sprouts embrace growth, forget comfort zones, and help More ❯
thinking, and influence across teams A bias for action, accountability, and leading by example Preferred Skills (Nice to Have) Experience with AI/ML infrastructure tooling (e.g. vLLM, KServe, Ray, Triton) Familiarity with Python, especially ML libraries and model interfaces Exposure to GPU orchestration frameworks or building services for model training/inference Understanding of multi-tenant systems, isolation strategies … thinking, and influence across teams A bias for action, accountability, and leading by example Preferred Skills (Nice to Have) Experience with AI/ML infrastructure tooling (e.g. vLLM, KServe, Ray, Triton) Familiarity with Python, especially ML libraries and model interfaces Exposure to GPU orchestration frameworks or building services for model training/inference Understanding of multi-tenant systems, isolation strategies More ❯
CI Monitoring and telemetry tools: Prometheus, Grafana Version control with Git Preferred Qualifications: Experience debugging GPU-enabled applications Familiarity with OpenAPI, HTMX, or Hyperscript Experience with Spark, Dask, or Ray for distributed data workflows Knowledge of AI inference tools (e.g., Nvidia NIM, Triton, vLLM) Understanding of multi-GPU model training and hardware integration Experience with SQL, Elasticsearch, or vector databases More ❯
experiments Experience with ML model monitoring systems Experience with ML training and data pipelines and working with distributed systems Proficiency with modern deep learning libraries and frameworks (PyTorch, Lightning, Ray) Preferred Qualifications Experience owning a product from development through monitoring and incident response Knowledge of the design, manufacturing, AEC, or media & entertainment industries Experience with Autodesk or similar products (CAD More ❯
with modelling intelligent agents, including symbolic, neural, or hybrid approaches.Experience deploying to and managing workloads on MCP or distributed processing environments.Familiarity with libraries such as TensorFlow, PyTorch, LangChain, or Ray is a plus.Ability to write clean, efficient, and well-documented code in a collaborative environment.Desirable:Experience with multi-agent coordination or LLM-based autonomous agents.Background in distributed systems, knowledge graphs More ❯
About Anyscale At Anyscale , we're 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 that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks … to accelerate the progress of AI applications out into the real world. With Anyscale, we're 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. Proud to be backed by Andreessen Horowitz, NEA, and Addition with … and Ray. You'll be on point for demoing our product, scoping POVs, making users successful, and amplifying the voice of our customers. Expect to learn a ton about Ray, Anyscale, and early stage product go-to-market! You'll be fundamental in helping us disrupt what it means to build distributed applications at scale. Our product is inherently technical More ❯
QA team. Developing or refining your expertise in the domain area of the product component or the system in aggregate and at scale. Specific domains include Workload Management (Kubernetes, Ray, and so on); Cloud Development (Cloud Infrastructure Automation); Management & Observability (open source and commercial monitoring, observability and DCIM solutions) Skills and Experience Essential Strong relevant programming experience Python/Go … constructing, and executing responsibilities & duties above. English- C1 level. Desirable Domain experience of the products under test: Containerisation (e.g. Docker), Virtualisation and Provisioning, Workload and job scheduling (e.g. Kubernetes, Ray) on high core-count machines and rack-scale installations, Management and Observability (e.g. Prometheus, OpenTelemetry, DataDog, Splunk, etc.). 10+ years of relevant experience related to quality assurance/testing More ❯
QA team. Developing or refining your expertise in the domain area of the product component or the system in aggregate and at scale. Specific domains include Workload Management (Kubernetes, Ray, and so on); Cloud Development (Cloud Infrastructure Automation); Management & Observability (open source and commercial monitoring, observability and DCIM solutions) Skills and Experience Essential Strong relevant programming experience Python/Go … constructing, and executing responsibilities & duties above. English- C1 level. Desirable Domain experience of the products under test: Containerisation (e.g. Docker), Virtualisation and Provisioning, Workload and job scheduling (e.g. Kubernetes, Ray) on high core-count machines and rack-scale installations, Management and Observability (e.g. Prometheus, OpenTelemetry, DataDog, Splunk, etc.). 10+ years of relevant experience related to quality assurance/testing More ❯
HFT trading firm) Ideally: Project/technical leadership roles Experience with non-equity asset classes Experience of more than one firm's stacks Experience with distributed compute (spark, dask, ray, etc.) and NoSQL datastores (Cassandra, etc.) Desire to work on a broad range of projects (including the tick data architecture if interested) Contact If this sounds like you, or you More ❯
strong software engineering skills. Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR. Experience with distributed training infrastructures (Kubernetes, Slurm) and associated frameworks (Ray). Experience using large-scale distributed training strategies. Hands on experience on training large model at scale. Hands on experience with the post training phase of model training, with a More ❯
work in a connected, networked way and have an entrepreneurial sense for market movements. Excellent German and English skills round off your profile. What to expect from us As Ray Sono, we are an established player in the digital service provider market and have retained our start-up gene, innovative spirit and unbroken enthusiasm for digital topics to this day. … modern bicycles. A strong interdisciplinary team with great team spirit, where you can find listeners or mentors. Our own Feel-Good team works every day to ensure that all Ray are doing well. This includes catering in the offices as well as after-work, summer, and winter parties - and much more! What counts for us is people in all their More ❯
work in a connected, networked way and have an entrepreneurial sense for market movements. Excellent German and English skills round off your profile. What to expect from us As Ray Sono, we are an established player in the digital service provider market and have retained our start-up gene, innovative spirit and unbroken enthusiasm for digital topics to this day. … modern bicycles. A strong interdisciplinary team with great team spirit, where you can find listeners or mentors. Our own Feel-Good team works every day to ensure that all Ray are doing well. This includes catering in the offices as well as after-work, summer, and winter parties - and much more! What counts for us is people in all their More ❯
