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 ❯
Passion for detail and follow through. Excellent communication skills and team player Preferred qualifications, capabilities, and skills Master's degree in computer science, ML or related areas Experience with Ray, MLFlow, and/or other distributed training frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep understanding of Large Language Model (LLM 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 … Bring 5+ years working in an MLOps or related ML Engineering role Production experience self-hosting & operating LLMs at scale for generative tasks via an inference framework such as Ray or KServe (or similar) Production experience with running and tuning specialized hardware for Generative AI workloads, especially GPUs via CUDA Measured and articulate written and spoken communication skills. You work More ❯
functional engineering teams. Passion for open-source and decentralized infrastructure. Excellent communication and executive presence. Preferred Tech Stack Languages: Go, Rust, Python, Solidity AI Stack (plus): PyTorch, Hugging Face, Ray, ONNX What We Offer Competitive salary + equity/token package Flexible, remote-first work environment High-impact leadership role in a fast-scaling frontier tech company Opportunity to shape 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 ❯
accelerating ML research and deployment in creative space. Bonus Skills (Nice-to-Have) Experience with ML pipelines involving video, image, or 3D data. Familiarity with distributed compute frameworks (e.g., Ray) or orchestration tools (e.g., Flyte). Familiarity with game engines (Unreal or Unity) Knowledge of vector databases and similarity search (e.g., LanceDB). Prior work in AI/ML research 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 ❯
Wandsworth, Greater London, UK Hybrid / WFH Options
Merantix
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 ❯
lifecycle pain points and practical solutions Experience building systems for scaling training, versioning, and deployment Bonus points for experience with distributed compute, data engineering, and orchestration frameworks (e.g. Airflow, Ray, KubeFlow). Why join? Top-tier quant finance firm with huge tech investment Competitive base salary + 50–100%+ annual bonus 25 days holiday, monthly WFH allowance, and 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 ❯
and high-profile global clients: Meta . Meta is home to some of the most recognised platforms and technologies in the world-including Facebook, Instagram, WhatsApp, Meta Quest and Ray-Ban Meta smart glasses. As their global media agency of record, we're responsible for helping shape how Meta shows up across markets and media channels worldwide. This is a More ❯
