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Senior Software Engineer building TT-Forge, an MLIR-based AI compiler at Tenstorrent, optimizing computational graphs and creating custom dialects to run AI workloads on Tenstorrent hardware. Core technologies: C++, Python, MLIR, and ML frameworks like PyTorch and JAX.
A Machine Learning Research Engineer working on LLM training, inference optimization, and large-scale distributed compute for Tenstorrent's custom AI accelerators, using Python, PyTorch, and techniques like speculative decoding and distributed training.
Field Application Engineer who collaborates with sales and enterprise customers to drive adoption of AI/ML hardware-software solutions, bridging technical expertise with customer-facing communication.
A customer-facing Field Application Engineer based in Singapore who acts as the technical bridge between Tenstorrent and customers across Southeast Asia — guiding AI/ML evaluations, deployments, and troubleshooting on Tenstorrent's AI hardware/software platforms. Core stack: Python, PyTorch/TensorFlow, cloud deployments, and hands-on server/PCIe hardware work, with regular regional travel.
Senior full stack developer who designs, builds, and maintains scalable web applications using Python and ReactJS, deploys and manages them on AWS, and integrates machine learning models in collaboration with AI specialists. The role also covers code reviews, testing, troubleshooting, and documentation.
Backend developer on TransPerfect's AI team in Barcelona, building a Python pipeline that converts complex, unstructured PDFs into pixel-perfect editable .docx files. Day to day: benchmarking commercial and open-source OCR/document-AI tools (ABBYY, AWS Textract, LayoutLM-style models), and integrating LLMs like GPT/Claude for layout correction.
Future Processing, a Polish IT services company, is hiring a Senior Machine Learning Engineer to build and advise on ML/AI solutions for client projects, including NLP/LLM work, cloud AI services, and presales involvement. Core stack is Python with ML libraries like TensorFlow, PyTorch, and scikit-learn; B2B contract at 115–185 PLN/h.
Remote (US) Senior AI Engineer on Chemours' AI & Data Science team who designs, builds, and productionizes GenAI agents and traditional apps across business functions like Manufacturing, Legal, and Finance. Core stack: Python, JavaScript/TypeScript, React, Pydantic, RAG and multi-agent architectures, with Azure CI/CD.
Pipe Technologies is hiring a Senior Data Scientist (remote anywhere in the U.S.) to build and deploy ML and statistical models forecasting customer cash flows and credit risk, run A/B tests to improve product and underwriting, and advance models with deep learning techniques like transformers. Core stack includes PyTorch/TensorFlow, Spark, and AWS/GCP.
ML Systems Engineer at Final, an HFT/trading-algorithms firm in Ramat Hasharon, building and optimizing proprietary deep learning systems for live trading. Day-to-day involves running DL models on large GPU clusters and adapting them for production serving, using PyTorch, Python/C/C++, and custom CUDA/Triton kernels.
Develops and optimizes large-scale vision-language models for autonomous vehicle perception, training pipelines on multimodal sensor data to improve real-world driving decisions.
Develops and deploys machine learning models for autonomous vehicle prediction and planning, using deep learning frameworks to improve navigation safety and efficiency.
Develops and optimizes machine learning systems for autonomous driving, focusing on runtime performance and efficiency across cloud and vehicle platforms using deep learning frameworks and compiler tools.
Develops ultra-realistic simulation environments for autonomous driving using machine learning, focusing on generative AI and foundation models to enhance the Waymo Driver's performance.
Develops machine learning models for autonomous vehicle perception, including sensor fusion and spatial-temporal representation learning, using large-scale real-world driving data.
Principal Software Engineer at Waymo builds and optimizes sensor-fusion foundation models for autonomous driving, using large-scale multi-modal data and deep learning toolkits.
Research Scientist designs and builds deep-learning models for autonomous-vehicle planning and prediction, turning real-world driving challenges into robust ML systems and publishing findings.
Designs and optimizes large-scale machine learning pipelines for vision-language models to improve autonomous vehicle perception, using Python and deep learning frameworks.
Senior ML Engineer builds and optimizes high-performance inference engines for autonomous vehicle ML models, balancing real-time onboard constraints with offboard data center demands using frameworks like JAX, XLA, and CUDA.
Senior engineer building and scaling AI/ML infrastructure for ultra-realistic autonomous-driving simulations using multi-billion-parameter foundation models and distributed training.
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