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Senior Machine Learning Engineer, Scenes, Traffic Controls
ML engineer on Waymo's Driver Refinement and Validation team, building ML-powered systems for autonomous vehicles — fine-tuning and benchmarking generative models for perception, motion prediction, and trajectory planning and bringing them into production. Core stack: Python/C++ and deep learning frameworks like JAX or PyTorch.
Software Engineer, Machine Learning Platform
Build and maintain ML infrastructure for protein-design models, including training systems, inference stacks, and design pipelines, to accelerate research and deployment.
Principal Machine Learning Engineer
Principal ML Engineer builds and owns recommendation/search personalization systems for a fitness platform, driving relevance through experimentation and scaling privacy-first ML infrastructure.
Freelancer Databricks Machine Learning Engineer
About the Role We are seeking an experienced Senior Machine Learning Engineer with deep hands-on expertise in the Databricks ecosystem to architect, build, and scale our enterprise MLOps platform. In this role, you…
Principal Machine Learning Scientist
DISCO (an AI-powered legal/ediscovery software company) is hiring a Principal Machine Learning Scientist to lead and shape its ML research agenda — driving advanced algorithm development, managing large-scale research programs and teams, mentoring researchers, and applying ML to real-world legal-industry problems. Remote within the USA; requires 12–15+ years of ML research experience.
Especialista en Inteligencia Artificial
Sobre Tenpo ¡En Tenpo estamos construyendo el futuro de las finanzas en Chile! Hoy somos más de 500 profesionales unidos por un hito histórico: somos el primer Neobanco del país . Hemos evolucionado para crear un…
Staff Applied ML Engineer, Federal/National Security
Staff Applied ML Engineer at Red Cell Federal building and deploying production LLM applications, AI agents, eval/fine-tuning pipelines, RAG, and inference systems for federal and national security missions. Requires U.S. citizenship with an active Secret or Top-Secret clearance; remote in the USA with Washington DC/Northern Virginia preferred.
ML Engineer, Retrieval & Grounded Generation
Builds retrieval-augmented generation infrastructure for DEFCON AI's government-cloud platform: embeddings and vector retrieval at scale, LLM integration with cited, grounded outputs, prompt/schema design, model packaging/serving/rollback, and telemetry. Python-centric; US citizenship and an active Secret clearance are required.
Assistant Projets IA & Machine Learning H/F
Six-month internship at Crédit Agricole CIB's risk model validation department (VRM) in Montrouge, France: build a generative-AI autonomous agent from scratch to partially automate model-validation documentation. Work centers on LLM-based agents using Python, scikit-learn and TensorFlow/PyTorch.
Machine Learning Engineering Lead
Senior ML Engineer at Echo Neurotechnologies will design and create ML models for time-series data to develop Brain-Computer Interface solutions for people with disabilities, using Python with TensorFlow or PyTorch frameworks.
Artificial Intelligence/Machine Learning Engineer 1 - (NLP, AWS, PyTorch)
AI/ML Engineer building, training, fine-tuning, and deploying NLP/language models on AWS (SageMaker, Lambda, EC2, S3) to support government customer requirements at Annapolis Junction, MD. Uses PyTorch, TensorFlow, Hugging Face, plus Java/C/C++ full-stack work; TS/SCI clearance with polygraph required.

Machine Learning Engineer, Synthetic Data
Post-trains and scales generative world models (GAIA-class video diffusion/flow-matching models) to produce synthetic driving data at scale, then lands that data in Wayve's autonomous-driving training stack. Day to day: PyTorch model work, large-scale GPU inference jobs, and diagnosing geometry/calibration failures.
Machine Learning Engineer
Location: Austin,Texas,United States Role: Jr-Mid Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary : Adidev is looking for an adept Machine…


Senior Machine Learning Operations Engineer
Joins Mercury's Machine Learning Platform team to build and operate the production ML lifecycle for fraud/financial-crime risk decisioning: real-time low-latency model inference, deployment with registries and CI/CD, observability/drift detection, and retraining infrastructure. Core stack is Python backend services plus SQL, key-value stores (Redis/DynamoDB), and streaming (Kafka).
Machine Learning Internship, Behaviors Research
Research and develop ML models for autonomous-vehicle prediction and planning using large-scale datasets and frameworks like PyTorch.
Machine Learning Systems Engineer
Build and optimize high-performance systems for large-scale distributed ML model training, focusing on speed, cost, and throughput using PyTorch, CUDA, and Triton.
