6 of 6 Remote/Hybrid Permanent Distributed Computing Jobs

workloads on AWS, GCP, or Azure, utilizing managed services like SageMaker or Vertex AI. Data Foundations: Strong understanding of data modeling, feature stores, and distributed computing (e.g., Spark, Dask). Qualifications & Experience Experience: 5+ years in a software or data engineering role, with at least 3 years specifically … rather than "scripts." You anticipate edge cases, data drift, and system failures before they happen. Problem Solving: A proven track record of troubleshooting complex distributed systems and optimizing resource-intensive algorithms. What We Value Reliability: You believe that a model is only as good as its uptime ...

participate in designing coding conducting experiments and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued pretraining instruction tuning reinforcement learning distributed training efficient ML techniques) Post‐training techniques for planning reasoning & complex workflows (e.g. reasoning models LLMs knowledge graphs test time compute CoT pipelines tool …/CD and code quality practices Hands‐on experience with experiment tracking and orchestration tools such as clearml Weights & Biases MLflow. Experience with distributed computing frameworks and large‐scale data processing (e.g. Ray Spark Dask) Excellent communication skills to collaborate with researchers and translate research ideas into robust ...

testing, CI/CD, and code‐quality practices. Hands‐on experience with experiment tracking tools such as ClearML, Weights & Biases, and MLflow. Experience with distributed computing frameworks and large‐scale data processing (e.g., Ray, Spark, Dask). Excellent communication skills to collaborate with researchers and translate research ideas … LLamaIndex). Experience with data‐centric ML approaches, including synthetic data generation, curriculum learning, or data curation pipelines. Experience training large‐scale models over distributed nodes using cloud tools such as AWS, Azure, or Google Cloud. Hands‐on experience with MLOps, experiment tracking, and model deployment systems. Strong interest ...

related field.Strong programming skills in Python, with experience in software development best practices.Proficiency in machine learning frameworks including TensorFlow andPyTorch.Familiarity with cloud computing platforms, includingAWS, and distributed computing environments.Excellent problem-solving abilities and a passion for tackling complex technical challenges.Prior experience in a start-up environment ...

C++, SQL, C#, and VBA. Python is also desirable. Solid foundation in numerical methods, including Monte Carlo simulations and optimization algorithms. Experience with distributed computing & inter-process communication. Proficiency in multi-threaded programming. Familiarity with Microsoft Office, VC++, VBA, SQL, Access, Oracle. Knowledge of web technologies such ...

technical Product Manager to take a complex AI orchestration platform from 0 1 . This is a builder role, working closely with engineering on distributed compute, APIs, and AI/ML infrastructure — not a people-management position. What you’ll do Own the product roadmap and execution … orchestration software Partner closely with engineers on distributed systems, APIs, and platform design Ship developer-facing features supporting AI/ML deployment, inference, and monitoring Ensure reliability, security, and scalability at institutional-grade standards What we’re looking for Circa 3–7 years’ or more experience as a Product ...