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Build and maintain backend Java services for a benefits-market client, focusing on clean code, unit testing, and microservices on AWS with Oracle/MongoDB.
Build and modernize Java-based systems for a benefits-market client, focusing on regulatory compliance and legacy modernization using Spring Boot, Oracle, MongoDB, and cloud services.
Java backend developer building microservices and REST APIs with Spring Boot, collaborating with teams to deliver enterprise client-server applications.
Builds and maintains cloud-scale Java microservices using Spring, Docker, and Kafka, while guiding junior developers and ensuring smooth software operations.
Lead a team of Java developers to build and scale high-traffic citizen-facing services using Java 21+, microservices, and Agile practices.
Lead AI research to build high-fidelity, multi-physics simulation models for engineering and manufacturing, using deep learning and probabilistic methods to optimize design and operations.
Build and optimize AI-driven simulation models for engineering and manufacturing, scaling deep learning and distributed training across cloud and on-premise systems.
Build AI-driven simulation models to predict physical system behavior for engineering and manufacturing, using deep learning and probabilistic methods in Python.
Build and scale AI agents and foundation models for drug discovery, integrating biological data and MLOps pipelines to accelerate therapeutic research.
Build and optimize distributed training infrastructure for GenAI models on AWS Trainium using PyTorch/JAX, tuning compiler, runtime, and parallelism to maximize throughput and hardware utilization.
Build and scale AI agents and foundation models for drug discovery, integrating biological data and deploying robust MLOps/AgentOps systems in a biotech R&D environment.
Research and build agentic LLMs and reinforcement-learning systems for code generation, running experiments, curating datasets, and shipping production-quality research code.
Builds and scales ML infrastructure for post-training large language models, focusing on RL environments, compute scheduling, and research tooling to accelerate AI experimentation.
Build reinforcement-learning environments to train frontier models, blending research and engineering with Python, PyTorch/JAX, and transformer internals.
Build reinforcement-learning environments and reward functions to train frontier AI models, blending research with engineering in a startup setting.
Principal AI/ML Research Engineer leads applied research in generative AI, deep learning, and Transformers to build Payment Foundation Models for commerce and fintech challenges, driving novel architectures from prototype to production.
About us We are building AI systems that can reason, use tools, and complete meaningful work in the real world. Our team works across model post-training, reinforcement-learning infrastructure, large-scale training,…
Build Python APIs and bindings for CUDA Core Libraries, integrating C/C++/Rust to accelerate GPU-accelerated software for HPC and AI workloads.
Build and maintain high-performance monitoring and profiling tools for AI workloads on AWS Neuron, optimizing ML performance on Trainium and Inferentia accelerators.
- 5+ years of engineering team management experience - 9+ years of working directly within engineering teams experience - 4+ years of designing or architecting (design patterns, reliability and scaling) of new and…
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