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Staff Tech Lead ML Engineer on Waymo's Perception team, designing multi-sensor model architectures for autonomous vehicle scene understanding and optimizing models for onboard compute using Python, C++, and frameworks like PyTorch/JAX/TensorFlow.
Senior ML engineer on Waymo's Special Vehicle Compliance team building multimodal perception for autonomous vehicles: training multi-task deep learning models (PyTorch/JAX) that fuse camera, LiDAR, and audio, developing high-resolution vision transformer backbones, and running large-scale data mining/auto-labeling pipelines, with model optimization for onboard accelerator inference.
Senior ML engineer on Waymo's Special Vehicle Compliance team, building learned driving policies that bridge perception and planning for autonomous vehicles. Day-to-day involves training, evaluating, and deploying decision-making models into production using PyTorch/JAX, RL/imitation learning, and closed-loop simulation.
Waymo is hiring a Sr Staff Tech Lead / ML Engineer for its Perception team to set the technical roadmap for next-generation multi-modal perception of the Waymo Driver - architecting scalable sensor-fusion models, optimizing them for onboard hardware, leading cross-functional initiatives, and mentoring engineers. Core stack: Python, C++, and modern ML frameworks like PyTorch, JAX, and TensorFlow.
Principal ML Engineer at HubSpot builds AI systems that extract context from CRM data to power customer-facing features using deep learning, retrieval, and NLP.
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and…
MLOps-style engineer at Camtek (semiconductor inspection) in Migdal HaEmek who turns research ML models into optimized, production-ready components: integrating models, optimizing inference (TensorRT/ONNX, GPU), and building deployment/monitoring infrastructure using Python, PyTorch, and C++/C#.
Builds GPS-denied navigation and targeting software for autonomous defense platforms: designing vision navigation and sensor-fusion/state-estimation algorithms (IMU, cameras, LiDAR, radar, GNSS) in modern C++ on Linux, with optional PyTorch/CUDA deployment on embedded Jetson hardware, from simulation through flight testing.
Machine Learning Engineer at a defense-tech company who owns the training, data, and edge-inference backbone for vision and multi-sensor autonomy models — building data/training pipelines, generating synthetic data, and deploying PyTorch models in real time on Jetson-class embedded hardware.
This role develops AI/ML models for satellite intelligence processing using Python, PyTorch, and TensorFlow. The engineer will work onsite in Beavercreek, OH on OPIR data exploitation for defense applications.
Build and deploy a Python-based EO/IR object-detection app into Kubernetes, integrating research code with operational systems using Protocol Buffers and container tooling.
Trainee machine learning engineer at QBrainX in Coimbatore, India, working with data scientists and senior ML engineers to build, train, and deploy models that solve real-world problems. Core stack: Python with scikit-learn, pandas, NumPy, TensorFlow or PyTorch, plus Git.
Syngenta's R&D Digital data science team is hiring a Machine Learning Engineer to build and deploy production-grade computer vision and ML solutions that turn drone, satellite, and sensor imagery into digital traits for seed breeding. Day-to-day work spans the full ML lifecycle — model development, cloud data pipelines, MLOps, and monitoring — using Python, PyTorch/TensorFlow, Docker, and AWS/GCP/
Associate full-stack developer building scalable web applications across front-end and back-end while integrating AI/ML models, n8n workflow automation, and agentic AI tools like OpenClaw. Day-to-day spans app development, AI agent configuration, automation pipelines, and testing/CI-CD.
Remote Senior Lead AI Engineer (hired via OutForce, a Philippines-based outsourcing firm, working US hours) serving a US engineering/consulting client. Leads end-to-end delivery of enterprise AI/ML — mentoring engineers, owning LLM/RAG architecture, and staying hands-on with Python, PyTorch/TensorFlow, cloud platforms, and MLOps.
Optimize and benchmark AI model performance across hardware platforms for Microsoft's AI services, focusing on large-scale LLM inference and deployment efficiency.
AI/ML engineer at DataZymes in Bengaluru building and productionizing GenAI applications (RAG, multi-agent systems, Text2SQL, fine-tuning) for healthcare/pharma analytics clients. Core stack: HuggingFace, LangChain, DSPy, pandas, scikit-learn, PyTorch, and cloud ML platforms (AWS/Azure/GCP); Databricks/Spark is a plus.
Senior Machine Learning Engineer building scalable ML solutions for customer insights, marketing investment optimization, and data-driven decision-making. Core stack: Python, SQL, PySpark/Big Data, TensorFlow or PyTorch, and cloud ML tools like AWS SageMaker or Databricks. Hybrid in Mexico City or Guadalajara; remote from other Mexican states.
The Principal AI Engineer will design and build the SeekrFlow Edge Builder platform to enable the deployment and management of trustworthy AI solutions across diverse environments including edge and air-gapped systems. The role involves working across infrastructure, security, and AI layers to create scalable, secure, and repeatable deployment workflows.
Forward Deployed Engineers embed with clients to deploy production-grade AI systems using SeekrFlow, specializing in LLM fine-tuning, agentic workflows, and Kubernetes-based deployments across cloud/on-prem environments.
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