- DoorDash (San Francisco, CA)
- …ML for Causal Inference and Recommendation Systems - both classical and deep learning based. Additional familiarity with explore/exploit/MAB algorithms & LLMs ... last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and...the Role We're looking for a passionate Applied Machine Learning expert to join our team. As a Senior… more
- Evolent (Sacramento, CA)
- …and infrastructure, Azure ML Studio, and Azure MLOps is preferred + Experience with deep learning , reinforcement learning , NLP, and LLMs is preferred + ... **What You Will Be Doing:** + Design, develop, and deploy advanced machine learning models and algorithms to primarily improve the performance of our prior… more
- Snap Inc. (Palo Alto, CA)
- …systems, or vector similarity search + Experience with TensorFlow, PyTorch, or related deep learning frameworks + Experience with Docker, Kubernetes, Ray, NoSQL ... at the forefront. We're looking for a Principal Machine Learning Engineer to join Snap's ML Inference Platform team!...you'll do: + Design, implement, and scale critical machine learning components and services to support Snap's most strategic… more
- Qualcomm (San Diego, CA)
- …industry experience in autonomous driving or robotics domain + Proficient in variety of deep learning models like CNN, Transformer, RNN, LSTM, VAE, GraphCNN etc. ... experienced Senior or Staff Engineer with expertise in Reinforcement Learning and Behavioral Modelling to advance our AI driving...+ Proven expertise in reinforcement learning , including areas like offline RL, reward modeling, RLHF,… more
- US Tech Solutions (Mountain View, CA)
- …Experience with machine learning systems, algorithms, or applications such as: deep learning , computer vision, + Completed coursework in calculus, linear ... actions would shift their risk profile. **Responsibilities:** + Develop Machine Learning (ML) and physics-based models for Earth systems applications where Machine… more
- DoorDash (San Francisco, CA)
- …learning training and serving infrastructure + Familiar with Pandas and Python machine learning libraries and deep learning frameworks such as PyTorch and ... small team to build systems that empower efficient machine learning at scale. This is a hybrid opportunity in...help design and drive directions for the centralized machine learning platform that powers all of DoorDash's business. +… more
- General Atomics (Poway, CA)
- …+ Completes documentation and procedures for installation and maintenance. + Applies deep learning technologies to give computers the capability to visualize, ... systems. We have an exciting opportunity for a Machine Learning Engineer in Poway, CA. The Autonomy and Artificial...to customer preferences or technology evolution. + Adapts machine learning to areas such as virtual reality, augmented reality,… more
- Amazon (Cupertino, CA)
- …build processes, testing, certification, and livesite operations - 3+ Years of Deep Learning /Machine learning experience Preferred Qualifications - ... stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that...As the SDM of Software Development for the Machine Learning Distributed Training team, you will be responsible for… more
- Cisco (CA)
- …+ In-depth knowledge and proven track record in AI/ML technology, including deep learning , time series modeling, natural language processing, and unsupervised ... of our journey! Role: As the Senior Principal Machine Learning Engineer in the Artificial Intelligence group, you will...in leading impactful AI product development at scale. + Deep understanding of ML frameworks (eg, TensorFlow, PyTorch) and… more
- SAP (Newport Beach, CA)
- …Key Skills and Competencies . Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch or TensorFlow . Experience data ... processing automation for LLM training and evaluation . Experience with distributed deep learning training on multi-GPU systems is a plus Meet your team: The… more