- Amazon (Seattle, WA)
- …AWS Trainium and Inferentia silicon and servers. Strong software development using Python and ML knowledge are both critical to this role. A day in the life As ... you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: Build high-impact solutions to deliver… more
- Amazon (Seattle, WA)
- …feedback - Collaborate with tech and product teams on building ML strategies, experimentation, implementation and continuous improvement - Analyze and extract ... relevant information from large amounts of both structured and unstructured data to design strategies to solve business problems. - Use CV, NLP, LLM and machine learning techniques to create scalable solutions for business problems - Create business and… more
- ServiceNow, Inc. (Kirkland, WA)
- …will focus on developing automations for ServiceNow's cloud as well as exploring AI/ ML solutions leveraging ServiceNow AI offerings. You will have the opportunity to ... work on the ServiceNow Platform and Tools, build solutions using workflows, orchestration, and developer tools. **What you get to do in this role:** ** ** + Experiment with the latest ServiceNow AI and GenAI offerings and other upcoming capabilities. + You… more
- Molina Healthcare (Everett, WA)
- …data scientists. * Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other ... business objectives. * Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate * Perform other duties as business… more
- Amazon (Seattle, WA)
- …inference. - Apply PyTorch, Python, and C++ skills to engineer modular, scalable ML systems. - Evaluate and implement parallelism techniques such as data, tensor, ... model, and pipeline parallelism. - Monitor and optimize GPU memory and throughput for training large models efficiently. - Collaborate cross-functionally with research, data infra teams to integrate new models and features - Deep understanding of LLM algorithm… more
- Amazon (Bellevue, WA)
- …has a demonstrable track record of delivering successfully in a hyper-growth ML /AI environment by leveraging their deep technical expertise and adapting deftly to ... rapidly-evolving priorities. Responsibilities - Develop and maintain key software components for inference and evaluation for Nova family of models. - Manage project prioritization, deliverables, and timelines. - Illuminate trade-offs, educate the team on best… more
- Amazon (Seattle, WA)
- …years of experience of applied research experience. - Extensive experience applying ML to solve complex problems for large-scale applications - Extensive people ... management experience, managing science teams. - Excellent communication (verbal and written) and collaboration skills that enable you to earn trust at all levels. - Skilled with Java, Python, or other programming language Preferred Qualifications - A PhD in… more
- Amazon (Seattle, WA)
- …help you develop into a better-rounded professional. The Hardware Engineering AI / ML development team is a group of engineers and technical program managers ... directly responsible for launching hardware in the fleet. Located out of Seattle, Cupertino and Austin we work on programs with global development teams (both internal and external to Amazon). Our servers are located in datacenters globally. The members of our… more
- Capgemini (Seattle, WA)
- …quality engineering, cloud and application development, all driven by AI, data and automation. ** ML Engineer - Model Ops** We are looking for someone to help us keep ... our machine learning models running smoothly in production. Your job will be to monitor for issues like model drift and data drift, ensure models stay accurate, and integrate tools like WhyLabs, Splunk, and Datadog What You Will Do: + Monitor machinelearning… more
- Snap Inc. (Seattle, WA)
- …containerization tools like Kubernetes or Docker. + Deep understanding of ML development workflows, model lifecycle management, or experimentation frameworks. + ... Background in building internal tools or developer platforms to improve engineering velocity and system reliability. + Experience managing production systems, reliability initiatives, or cost optimization programs. + Exposure to high-scale consumer technology… more