Title: ML Microarchitect Location: Mountain View, California, United States Full-Time Hardware Engineering ID: 4594 Job Description: Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world's highest performance automotive compute platforms. This role follows a hybrid work schedule and you will report to the Senior Staff Silicon Engineer. You will: - Work with researchers and architects to translate high level requirements into hardware features - Specify and design microarchitectures to deliver world class ML performance - Perform power, area and performance exploration and optimization of digital designs - Design high performance execution units, arithmetic circuits and programmable engines - Work with verification teams to guarantee functional correctness and performance You have: - BS degree in Computer Engineering or equivalent practical experience - 5+ years of industry experience with SystemVerilog, RTL design and microarchitecture - 3+ years designing and specifying microarchitectures of high performance computing cores (CPU/GPU/NPU) - Fluency in at least one high level programming language such as Python, C++ We prefer: - Experience designing datapath elements of high performance cores (CPU/GPU/NPU) - Experience working with Chisel (Scala) or other higher-level hardware DSLs - Working knowledge of machine learning algorithms & how they map to hardware - Familiarity with Synthesis and power analysis tools - Experience working with formal tools for datapath verification The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000-$215,000 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates.

Title: Life Enrichment Associate Part-Time Location: Denver United States Category Health & Wellness Type Regular Part-Time Job Description: Nestled in the heart of Denver, Balfour Senior Living in Riverfront Park is seeking passionate individuals to join our exceptional team. Location: 1500 Little Raven St, Denver, CO 80202 Shift: Part-Time | Saturday-Monday | varies 9 AM to 5:30 PM (flexibility required for occasional earlier/later events). Holidays required Pay: $19.29-$21.00/hr (depending on experience) Department: Memory Care, Assisted Living & Independent Living Must be able to or willing to learn to drive our non-CDL mini shuttle bus and have a good driving record. The Life Enrichment Specialist is responsible for implementing and supporting aspects of the community's Art of Living Well philosophy and the multi-dimensions of Art of Living Well through interaction with residents, presenting classes and instruction, coordinating events, and assisting with transportation as needed. Assist in promoting a healthy, activity-enriched lifestyle for residents and associates. What will I do every day? - Assist Life Enrichment Director to present programs that meet the emotional, intellectual, social, spiritual and vocational needs of the residents and staff - Promote and monitor resident attendance and participation in all Art of Living Well programs - Teach and facilitate programs as appropriate - Monitor residents' well-being in a general way and report any changes in condition to the appropriate associate/department immediately - Assist residents with requests as needed or find appropriate associate to assist - Learn resident preferences for opportunities to provide exemplary customer service, exceed resident expectations and enhance resident satisfaction - Implement a variety of group and individual Art of Living Well programs that meet the varying needs of the residents and staff - Respond to residents individually to meet their Life Enrichment needs based on activity level, acuity, interests, and feedback - Work with volunteers and community groups as needed to implement various programs and events - Assist in setting up/tearing down Life Enrichment and community events as needed - Work as part of the team within your department and across the community - Perform function ability assessments and quality of life indexes for participants, as requested - Assist with scheduling transportation as required - Drive vehicles as necessary - Support open and honest communication with and between all associates - Represent the company PVBs and The Art of Living Well on a daily basis - Maintain high standards of personal appearance and grooming, which includes wearing the proper uniform and name tag when working - Look for ways to reduce costs and create efficiencies on a daily basis - Ensure regulatory compliance and report any issues or concerns immediately - Support continuous improvement - Comply with company standards and regulations to encourage safe and efficient community operations - Adhere to all regulations, laws and company standards, including the Associate Handbook - Understand and support the community sales process - Perform other related duties as required What will I need to be successful in this role? - Bring a smile to work every day - Be a great team player - High school graduate - One to two years' experience in Life Enrichment programs (preferably with seniors) - Background in different dimensions of Art of Living Well is beneficial - Experience leading exercise classes and assisting with exercise equipment - Basic competency in the use of multiple forms of technology, including: Microsoft Office applications, internet-based and custom applications - Ability to work a flexible schedule, including evenings, weekends and holidays as needed Special Requirements/Certifications I may need? - Valid driver's license and proof of good driving record - First Aid Certification What's in it for me? (Great Question!) - Competitive pay - A free meal per shift - Healthcare Benefits including Vision & Dental (Full-time only) - Matching 401k (Full-time only) - Paid Time Off - Rewards and Bonus Opportunities - Continuous Training and Growth Opportunities What do we do? We create a great place to live for our residents and a great place to work for our associates. Kisco Senior Living has been a dynamic, award-winning leader in the senior living industry for over 30 years. All offers of employment are subject to satisfying our pre-employment process, which includes successfully passing a drug screen, a job specific-related physical, a TB test, and a background check. If selected for employment, the company will cover the cost of these pre-hire requirements - Kisco Senior Living is an Equal Opportunity Employer

• Own ML production reliability strategy • Define and lead the operational strategy for production ML systems, including monitoring, traceability, deployment safety, incident response, and post-deployment validation. • Set the standards ML teams use to assess model health, performance, and trustworthiness in production. • Own model traceability and governance • Ensure every production model has clear lineage (data, features, code, artifacts, validation, deployment history) and drive adoption of model registry and metadata tooling across ML teams. • Build end-to-end ML observability • Design and implement monitoring across the full ML signal path: data arrival, feature freshness, distribution stability, candidate generation, ranking behavior, model metrics, serving latency, and SLA performance. • Define production health metrics • Partner with ML, data, product, and business stakeholders to define post-deployment metrics covering model quality, system reliability, business guardrails, and degradation indicators. • Detect drift and degradation proactively • Detect data drift, feature drift, model behavior changes, and silent failures before they impact customers via thresholding, alerting, anomaly detection, and release-over-release monitoring. • Lead diagnostic tooling and root-cause analysis • Build dashboards, logs, and diagnostic workflows that progress quickly from “recommendations look off” to root cause, with context captured across candidates, features, scores, ranking decisions, and downstream outcomes. • Own ML deployment safety • Define and operate automated gates that prevent bad models or bad data from being promoted to production. • Partner with MLEs to establish validation checks, rollback criteria, canary strategies, shadow testing, and release health reviews. • Lead ML incident response • Own incident response practices for ML systems, including rollback playbooks, hotfix strategies, severity definitions, tradeoff frameworks, communications, and post-mortems. • Drive closure of systemic gaps after incidents rather than only resolving the immediate issue. • Partner across ML Platform, Data, and ML • Partner with DevOps/Platform on infrastructure and observability needs; with Data Engineering on data quality, drift, and freshness; and with ML Engineering to embed operational requirements into development and deployment workflows. • Set standards and mentor others • Act as the technical lead for ML operations: establish reusable patterns, playbooks, and standards, and mentor engineers on reliability, observability, and operational rigor.

Role Description We’re looking for an E-Learning Developer to join a growing team, supporting the development and optimisation of a Moodle-based Virtual Learning Environment. This is a great opportunity for someone who enjoys both the technical side of platform management and the creative side of building engaging learning content. - Managing and maintaining a Moodle-based VLE, including back-end configuration - Creating engaging digital learning content using tools such as Articulate - Turning subject matter expert content into interactive, user-friendly courses - Supporting enrolments, course setup, grading, and reporting - Working with stakeholders to design effective learning solutions - Improving user experience through interactivity, accessibility, and platform enhancements Qualifications - Experience administering Moodle at back-end level - Experience with e-learning authoring tools (e.g. Articulate) - Strong technical understanding of VLEs/LMS platforms - Ability to communicate and collaborate with non-technical stakeholders - Strong organisation and attention to detail Requirements - Experience in education or professional qualifications (CIPD/CMI) - Knowledge of Moodle add-ons/plugins - Excel reporting experience - Exposure to tools like Asana Benefits - £35,000 basic salary