676 to 700 of 773 Permanent PyTorch Jobs

camera control, trajectory control, or posture control.4. Understanding of game engine input/output logic and frame synchronization mechanisms.5. Proficient in Python/PyTorch, with publications in controllable video generation or conditional generation.6. Experience in Game AI or game development is preferred.7. Experience in real-time/interactive video generation ...

have strong experience building production‐grade machine learning systems at scale You are experienced with modern ML frameworks such as PyTorch, TensorFlow, or similar You have worked on systems where ML outputs influence real‐world decisions You understand how to design systems that balance automation with safety and user experience ...

performance systems (latency histograms, throughput metrics, SLAs). Familiarity with scripting languages (e.g., Python, Bash) for tooling and automation. KDB+ Data Analysis with python (pytorch, pandas, arrow) #J-18808-Ljbffr ...

kernels, quantizing models, fighting deep learning compilers). Excellent understanding of GPU architecture and why some models run faster than others. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. You document experiments clearly and communicate trade‐offs crisply. Nice to have: Robotics ...

Comfortable in both owning a multi-surface engineering programme and deepen one component. The kind of senior who unblocks others by default. Fluent in PyTorch and modern serving infrastructure; comfortable engaging with the front-end team on Rust and React adjacent product work even if not writing it. Nice ...

functional partners You have worked on complex optimization problems such as ranking systems or multi‐objective decision‐making You bring hands‐on experience with PyTorch and distributed systems such as Ray or similar frameworks You understand experimentation deeply and can design reliable tests in environments with interacting metrics ...

teleoperation and low-level control stack. Experience with neural network post-training. Familiarity with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training, PyTorch or JAX. Ability to profile & debug numerics and write maintainable research code. Good familiarity with modern software engineering practices. Ability to document experiments clearly ...

vision, SLAM, and multi-sensor fusion Proficiency in Python and C++ with production-grade engineering practices Experience with perception frameworks (ROS/ROS2, OpenCV, PyTorch, TensorFlow, etc.) Comfort working with real sensors, calibration workflows, and noisy data A track record of shipping perception systems that work outside controlled environments Willingness ...

ensure alignment between business goals and architectural direction. Candidate Profile Essential: Expertise in one or more of these technologies; Firmware, Drivers, ML frameworks (PyTorch, Triton, etc), Collectives, HPC, Tooling, C & C++, CPU architectures. Technical expertise in the ML accelerator software space. Excellent communication skill, both written and verbal. Collaborative mindset ...

agents and long-context methods, reinforcement learning under partial observability, world models, or sequence modellingPython and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch)Experience with working collaboratively with other developers, following a flexible and agile approachEPIC JOB + EPIC BENEFITS = EPIC LIFEWe pay 100% for benefits except ...

driving models and/or transformer networks Automotive or OEM experience, or prior work that involved deploying ML into physical systems. Experience with a Pytorch lightning training infrastructure Experience with model compression and deployments to embedded systems This is a full-time role based in our office in Sunnyvale, London ...

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 backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state ...

tool that happens to be public. The bet: high‐performance code should feel natural to write. Engineers write plain Python in a NumPy or PyTorch style, and Quadrants makes it fast. The role You own Quadrants end to end: the API, the IR and lowering, the optimization passes, the numerical ...

issues, reviewing external pull requests, communicating with a community. Bonus points: experience with other robotics simulators (Drake, MuJoCo, Newton, Isaac, RaiSim, Jiminy, Brax). PyTorch, our user-facing interface. Other JIT compilers such as Triton, JAX, or Numba. 3D tooling and interactive editors (Maya, Blender, Houdini). Serialization formats ...

tier ML conferences or journals. Ability and experience writing clean, documented research code for machine learning experiments, including experience with ML frameworks like PyTorch or evaluation frameworks like Inspect. A sense of mission, urgency, responsibility for success. An ability to bring your own research ideas and work in a self ...

matching platform requirements. Define model calibration, scoring logic, confidence thresholds, and optimisation strategies. Mentor teams on advanced ML techniques using Model frameworks such as PyTorch, TensorFlow, and XGBoost. Review and approve technical designs for complex modeling workflows. Explainability & Regulatory-Grade ReasoningEstablish explainability standards across the ML stack, using SHAP … enterprise environments. Deep expertise with AWS SageMaker (training, processing, pipelines, endpoints, registry) and complementary AWS services. Expert-level Python and ML Model frameworks (e.g. PyTorch, TensorFlow, XGBoost).Strong thought leadership in MLOps automation, CI/CD for ML, and model lifecycle management. Advanced experience designing explainability systems, reason codes ...

matching platform requirements. Define model calibration, scoring logic, confidence thresholds, and optimisation strategies. Mentor teams on advanced ML techniques using Model frameworks such as PyTorch, TensorFlow, and XGBoost. Review and approve technical designs for complex modeling workflows. Explainability & Regulatory-Grade ReasoningEstablish explainability standards across the ML stack, using SHAP … enterprise environments. Deep expertise with AWS SageMaker (training, processing, pipelines, endpoints, registry) and complementary AWS services. Expert-level Python and ML Model frameworks (e.g. PyTorch, TensorFlow, XGBoost).Strong thought leadership in MLOps automation, CI/CD for ML, and model lifecycle management. Advanced experience designing explainability systems, reason codes ...

Salary: Competitive + Excellent Benefits We're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. ...

EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of ...

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance ...

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance ...

Locations: Cambridge, UK or Barcelona, Spain Salary & Benefits: Competitive About AstraZeneca and AISI At AstraZeneca,technologyand science meet to change what is possible for patients. We are building a connected, end-to-end Enterprise AI ...

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance ...

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance ...

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance ...