1 to 25 of 45 Remote JAX Jobs

and technology experts. • Experience with the analysis or application of data in finance, economics, or related fields is a plus. • Experience with machine learning libraries such as PyTorch, TensorFlow, JAX is a plus. • Experience applying generative AI solutions (via open source tools or through Azure, Amazon Bedrock, Nvidia etc.) is a plus. • Experience with cloud technologies (Azure, AWS, Google Cloud More ❯

for enterprise-scale applications. Develop and optimize vector embedding generation pipelines using ScaNN or similar ANN techniques. Train, fine-tune, and deploy ML/DL models using TensorFlow, PyTorch, JAX, or similar frameworks. Collaborate with data engineers and solution architects to integrate models into scalable cloud solutions. Perform model evaluations, A/B testing, and hyperparameter tuning for optimal performance. More ❯

for enterprise-scale applications. Develop and optimize vector embedding generation pipelines using ScaNN or similar ANN techniques. Train, fine-tune, and deploy ML/DL models using TensorFlow, PyTorch, JAX, or similar frameworks. Collaborate with data engineers and solution architects to integrate models into scalable cloud solutions. Perform model evaluations, A/B testing, and hyperparameter tuning for optimal performance. More ❯

for enterprise-scale applications. Develop and optimize vector embedding generation pipelines using ScaNN or similar ANN techniques. Train, fine-tune, and deploy ML/DL models using TensorFlow, PyTorch, JAX, or similar frameworks. Collaborate with data engineers and solution architects to integrate models into scalable cloud solutions. Perform model evaluations, A/B testing, and hyperparameter tuning for optimal performance. More ❯

Triton); cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP); building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; C/C++ for computer vision, geometry processing, or scientific computing; software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design More ❯

or engineering roles. Strong expertise in Machine Learning and Deep Learning, with exposure to Reinforcement Learning as a plus. Proficiency in Python and modern ML libraries (e.g., TensorFlow, PyTorch, JAX, or Keras). Experience with version control systems (GitHub, GitLab) and knowledge of clean, maintainable coding practices. Familiarity with CI/CD pipelines for automating ML workflows. Ability to thrive More ❯

as an architect, or technical leadership position Hands-on experience developing FPGA hardware solutions and deployment at scale. Familiarity with deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX Preferred Qualifications: BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience 2+ … years of experience in hardware acceleration of AI/ML models Experience in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX Familiarity with building ML applications, LLM serving, GPU serving. Familiarity with containers and container orchestration systems Outstanding interpersonal communication skills (including listening, speaking, and writing) and ability to work well in a diverse, team-focused More ❯

with the ability to present complex ideas clearly Preferred: Experience in optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) A strong publication record in top conferences (e.g., NeurIPS, ICML, ICLR, ACL) Why Join Us Work on groundbreaking AI research with real-world applications and a strong commitment to open More ❯

with the ability to present complex ideas clearly Preferred: Experience in optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) A strong publication record in top conferences (e.g., NeurIPS, ICML, ICLR, ACL) Why Join Us Work on groundbreaking AI research with real-world applications and a strong commitment to open More ❯

have: •Experience in optimization, reinforcement learning, and/or large language models (LLMs) •Experience in chip design and applied AI research •Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Why Join Us •Work on groundbreaking AI research with real-world applications and a strong commitment to open-source contributions and scientific advancement •Collaborate with a team of world-class More ❯

science, machine learning or statistical models at scale, ideally within product environments or a data-rich business. Tech-savvy : Proficient in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX). Strong command of cloud- AI tooling (e.g., AWS SageMaker, GCP Vertex AI, AzureML/AzureAI, MLflow, Weights & Biases). Well-rounded Engineer : Comfortable working with version-controlled codebases, DevOps More ❯

position, the following are important: Technical Ability A deep understanding of data science, analytics platforms/ML domains, especially GenAI and NLP. Experience with frameworks (eg. PyTorch, TensorFlow, or JAX) and LLM’s (e.g. prompt engineering, fine tuning, RAG). Experience building and fine-tuning various ML Models (supervised and unsupervised models, classification, clustering, regression etc) Hands on experience with More ❯

Permanent Role Location : Cambridge Hybrid Policy: 3 days onsite and 2 days working from home weekly Role and Responsibilities As anAI Research Scientist, you will be part of a dynamic team working on next-generation machine learning technologies for real More ❯

years of experience in a data-driven role, with exposure to: building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical); iterating on network architectures and model structure, tuning and optimising for More ❯

open-source projects - Expertise in machine learning infrastructure, including technologies like MLFlow, Kubeflow and large scale distributed systems - Expertise in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX Suggested Skills: -ML Algorithm Development -Machine Learning and Deep Learning -Information retrieval/recommendation systems -Technical leadership LinkedIn is committed to fair and equitable compensation practices. The pay More ❯

C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work on impactful AI research with real-world applications Collaborate with top researchers in a global team Flexible hybrid work environment Opportunities to publish More ❯

C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work on impactful AI research with real-world applications Collaborate with top researchers in a global team Flexible hybrid work environment Opportunities to publish More ❯

C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work on impactful AI research with real-world applications Collaborate with top researchers in a global team Flexible hybrid work environment Opportunities to publish More ❯

Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow)Solid grasp of ML techniques; independent and team-oriented mindset Preferred : Experience in LLMs, reinforcement learning, or chip designFamiliarity with JAX and optimization frameworks Why Join Us: Work on impactful AI research with real-world applicationsCollaborate with top researchers in a global teamFlexible hybrid work environmentOpportunities to publish, innovate, and grow More ❯

C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindset Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work on impactful AI research with real-world applications Collaborate with top researchers in a global team Flexible hybrid work environment Opportunities to publish More ❯

C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work on impactful AI research with real-world applications Collaborate with top researchers in a global team Flexible hybrid work environment Opportunities to publish More ❯

of safe, steerable, and trustworthy AI systems. Responsibilities: Design and implement high-performance ML training infrastructure for large language model research Develop and maintain core ML framework primitives in JAX, PyTorch, etc. Create robust automated evaluation and benchmarking systems for model performance Implement comprehensive monitoring and debugging tools for ML workflows Design and optimize data loading pipelines that maximize training More ❯

may be a good fit if you: Have 5+ years of industry-related experience Are proficient in Python and have experience with deep learning frameworks such as PyTorch or Jax Have a strong software engineering background and are interested in working closely with researchers and other engineers Enjoy pair programming (we love to pair!) Care about code quality, testing, and More ❯

/EE or related research experience in academia or industry We will consider various levels of experience in relevant research areas Key Skills: Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc.) Experience with deployment on embedded/mobile devices (such as smartphones, with mobile CPU, GPU, NPU) Experience with distributed and multi More ❯

Science, Engineering, or a related field • 5+ years of experience deploying AI/ML models in production settings • Proficient in Python, C++, and deep learning frameworks like PyTorch or Jax • Skilled in distributed training (e.g., DDP, FSDP) and model performance optimization • Experience with GPU architectures, cloud platforms, and hardware tradeoffs • Familiarity with low-level hardware tuning and custom CUDA kernel More ❯