13,767 Machine Learning jobs
Machine learning roles training and shipping ML models to production.
Senior/Staff Machine Learning Research Engineer, General Agents, Enterprise GenAI
Build and deploy production-grade AI agents that combine LLMs, tool use, and control logic to solve enterprise problems, from design to evaluation and iteration.
Senior / Staff Machine Learning Research Scientist, Agents
Research and develop AI agents that interact with browsers, code repositories, and GUI tools using LLMs and reinforcement learning, aiming to publish findings and ship scalable solutions.
Staff/Senior Machine Learning Research Engineer, Intelligent Systems
Build observability, evaluation, and improvement loops for production-grade AI agents, ensuring reliability and performance across enterprise and government use cases.
Machine Learning Engineer, Public Sector
Machine Learning Engineer on Scale AI's Public Sector team, deploying generative AI, LLM agents, and computer vision models into mission-critical government systems (Donovan, Thunderforge). Day to day involves productionizing models, fine-tuning on massive datasets, and building scalable ML infrastructure, primarily in Python with TensorFlow/PyTorch, and requires an active security clearance.
Machine Learning Research Scientist, Evaluations
Develop evaluations, benchmarks, and diagnostic methods to identify and analyze failure modes in frontier LLMs and multimodal models, applying post-training expertise (SFT, RLHF, reward modeling) and publishing research at top AI conferences.
Senior Machine Learning Engineer, Public Sector
Senior ML engineer owning end-to-end design and production deployment of LLM-based agentic AI systems for US government/defense missions (Donovan, Thunderforge) — architecture, evaluation benchmarks, and models that work in constrained/classified environments. Core stack: Python, PyTorch/TensorFlow, GenAI/LLMs, reinforcement learning, computer vision.
Staff Machine Learning Engineer, Public Sector
Staff ML Engineer on Scale AI's Public Sector team leads the design and deployment of agentic AI systems for U.S. defense and intelligence customers (e.g., Donovan, Thunderforge), working on geospatial reasoning, retrieval/embeddings, agent memory, and evaluation infrastructure. Requires an active TS security clearance and deep Python/PyTorch production ML experience.
Machine Learning Research Intern (Summer 2027)
Summer 2027 Machine Learning Research Intern at Scale AI, working in San Francisco or New York on frontier-model research such as reinforcement learning, post-training, evaluations, safety/alignment, and synthetic data pipelines, plus improving models in production. Requires current BS/MS/PhD enrollment in ML/DL/NLP and prior research or publications.
Sr. Software Engineer - AI/ML - AI Platform (EDI)
Senior AI Engineer on Addepar's AI Platform team in Edinburgh, building and productionizing LLMs, vector DBs, and agentic frameworks end-to-end into scalable services powering its wealth-management product suite. Backend-heavy work with Python, Golang, gRPC, AWS, and Kubernetes; UK right to work required, no visa sponsorship.
Hardware Machine Learning Engineer
Design and deploy ML models directly onto custom hardware, co-architecting solutions with traders and engineers while optimizing for latency and resource constraints.
Machine Learning Engineer
Build and optimize large-scale ML training and inference pipelines for low-latency trading systems using Python, CUDA, PyTorch/TensorFlow, and GPU acceleration.
Deep Learning Researcher
Research and deploy ML models to generate trading signals and optimize portfolios, collaborating with quants and engineers using Python and PyTorch/TensorFlow.
Principal Research Scientist - Machine Learning
Lead IMC’s long-term ML research agenda, translating cutting-edge academic advances into practical trading applications and mentoring researchers.
Graduate Deep Learning Researcher - New York
Research and implement ML models for global trading strategies, deploying solutions in equities, futures, and options markets using Python and frameworks like PyTorch.
Deep Learning Research Intern - Summer 2027 - New York
Research intern designing ML models to analyze market data and inform trading strategies in equities, futures, and options.
Graduate Deep Learning Researcher - London
Research and implement ML models for global trading strategies in equities, futures, and options markets using Python and PyTorch.
Deep Learning Research Intern - Summer 2027 - Amsterdam
Research intern in Amsterdam and London building ML models to analyze market data and inform trading strategies for a global quantitative firm.
Software Engineer - Machine Learning Frameworks
Builds and optimizes low-latency machine learning frameworks in C++, Rust, Python, MLIR, and CUDA to accelerate research and production workloads on heterogeneous hardware.
Deep Learning Research Intern - 2027 - Sydney
Machine Learning Research Intern developing and applying ML algorithms and predictive models to large-scale datasets for global trading strategies, using Python, PyTorch, TensorFlow, or JAX.
Hardware Machine Learning PhD Research Internship
A PhD research internship at IMC Trading in Chicago focused on deploying machine learning onto custom hardware (FPGAs/ASICs) for low-latency ML inference. The intern owns a research project end-to-end, works hands-on with hardware engineers, and leaves behind a prototype or benchmark using tools like PyTorch/TensorFlow, VHDL/SystemVerilog, HLS, hls4ml, FINN, and Vitis AI.