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Build and deploy AI-powered computer vision models for real-time defense systems, optimizing multi-sensor object detection and autonomy on edge devices.
Own the end-to-end machine learning stack for Anduril's Counter Intrusion team: design and train multi-sensor object detection models for edge devices, build data collection/training pipelines, and optimize real-time inference. Core stack is C++ on Linux, Python with PyTorch/JAX/TensorFlow, and deployment via TensorRT/ONNX.
10-week Summer 2027 internship on Scout AI's Fury team in Sunnyvale, CA: prototyping, training, and evaluating VLA (vision-language-action) models for a defense robotic foundation model, spanning perception, control, multi-agent coordination, and simulation-to-real testing on real robots. Core stack: Python with PyTorch/TensorFlow/JAX.
Designs and optimizes machine learning models for Cloudflare’s global inference platform, focusing on low-latency serving, reliability, and performance across GPUs and accelerators.
MLOps Engineer at Marlabs building and scaling ML infrastructure for in-silico protein design: CI/CD with GitHub Actions, Kubernetes and SLURM/HPC orchestration, distributed training, and biological data pipelines (PDB/mmCIF) using Python and PyTorch/TensorFlow/JAX on AWS/GCP/Azure. Requires onsite work 3 days/week in Indianapolis or San Diego.
Research scientist/engineer on an AI lab's biosecurity team: fine-tune and post-train multimodal genome language models, design evaluation frameworks, run interpretability/ablation experiments, and translate capabilities into deployable biodefense tools. Core stack: Python, PyTorch/JAX, large-scale distributed ML, genomics.
Hands-on robotics engineering internship at Trace Labs' Brooklyn research lab: build and operate robotic platforms (arms, dexterous hands, sensors), develop data collection/processing pipelines, and support robot learning and embodied AI experiments in simulation and on real hardware. Core stack: Python/C++, ROS, PyTorch/JAX, MuJoCo/Isaac Sim.
Summer 2027 MS/PhD internship at Waymo in Mountain View (hybrid onsite) on the ML Frameworks and Efficiency team: extending RL training infrastructure for the LPM model, profiling and improving training efficiency, and integrating new RL technologies. Core stack is Python with JAX, Flax, PyTorch, or TensorFlow.
Mid/Senior Java Developer joining Piano's billing & subscription management team in Poland, building a hybrid monolith + microservices platform (Java 21/Kotlin 2.0, Spring Boot, Kafka, MySQL, Redis) with a focus on reliability, data integrity, and scalability of subscription lifecycles.
Develops and evolves ISR's application-monitoring software product for the IBM Business Automation platform, working in an agile, self-organized team. Day to day involves designing and building components with Enterprise Java, Angular and cloud technologies like Docker and Kubernetes.
Builds and runs the ML infrastructure platform at CuspAI in Cambridge, UK, enabling AI researchers and materials scientists to train and deploy models at scale. Core work spans Kubernetes, multi-cloud (AWS/GCP/neoclouds), GPU clusters, CI/CD and IaC (Terraform, Helm, Kapitan, GitOps) with Python/Go automation for JAX/PyTorch workloads.
Designs and trains the neural 'brains' of Maven Robotics' general-purpose industrial robots — building Vision-Language-Action models, action world models, and real-world reinforcement learning systems in Python with PyTorch/JAX, so robots can learn physical tasks from few demonstrations and adapt across hardware.
VP, Product Location: US FL JAX 347, US NY NYC Virtual Time Type: Full time Job Description Job Description The Opportunity FIS is one of the world’s largest financial technology companies, a Fortune 500 and S&P…
Principal engineer who owns the architecture and technical direction of FIS's enterprise mobile platform, setting standards across native iOS (Swift), native Android (Kotlin) and React Native, building shared frameworks, libraries and CI/CD (Bitrise), and leading decisions on security, performance, accessibility and app-store releases for financial applications.
Principal engineer at FIS setting the technical direction for a shared customer messaging platform spanning email, push notifications and SMS used across financial institution clients. Focus on architecture, deliverability, regulatory compliance (consent/opt-out), vendor decisions, and stakeholder partnership, using TypeScript, APNs/FCM and email authentication standards.
Principal engineer at FIS (Jacksonville, FL) leading enterprise-wide migration of product teams from legacy Angular to React and a new design system — building codemods, playbooks and AI-assisted tooling, supporting consuming teams, and retiring legacy frontend tech across banking, payments and capital markets.
Data scientist at FIS (financial services technology) who designs, deploys, and monitors ML, predictive analytics, and AI solutions for business problems in Risk, Fraud, Marketing, and Portfolio Management. Core stack is Python and SQL, with Pandas/Scikit-learn, Tableau, and Databricks/AWS as a plus.
Principal-level project manager at fintech FIS who sets delivery strategy, governs delivery frameworks, and leads complex multi-stakeholder programs — defining goals and timelines, managing risks and dependencies, monitoring quality and KPIs, and reporting progress. On-site role at offices in Jacksonville, Atlanta, or Milwaukee.
Principal Solution Architect at FIS who owns the end-to-end architecture of a modern, microservices-based payments platform — defining roadmaps, governing design decisions, and mentoring architects and engineers. Core stack includes Java/JVM, Oracle/PostgreSQL, APIs, and event-driven architecture; payments expertise (SWIFT, ISO 20022, Kafka, Kubernetes) is a plus.
Senior engineering manager at fintech FIS leading software development and QA teams that build enterprise Supply Chain Finance solutions. Based in Jacksonville, FL (hybrid, 3 days onsite), owning end-to-end delivery with a strong Java/J2EE, APIs, and SQL background.
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