This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team. - Be a thought leader and forward thinker, help drive an innovative vision for our various products and platforms. - Design and launch strategic machine learning (ML) solutions and drive business-wide innovation. - Take the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations. - Lead technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation. - Craft high-performance, high-scale microservices architectures, including synchronous and asynchronous web services. - Develop real-time online inferencing for highly complex models using Triton, TensorRT and mixed precision computing. - Mentor and develop other engineers on the team, establish technical direction and foster team culture. - Uphold the highest standards of technical rigor in engineering and operational excellence. - Build highly resilient and scalable systems, and champion operational and process improvements. Qualifications - Degree in mathematics/computer science or related discipline. - 5 to 10 years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations. - 5 to 10 years of experience in Python with an in-depth knowledge of its advanced features and libraries. - Expertise in designing RESTful APIs with hands-on experience with technologies such as FastAPI. - Proficient in Docker, Kubernetes, and modern CI/CD practices. - 3+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud). - Experience as a mentor, tech lead or leading an engineering team. Preferred Qualifications - MS or PhD in Computer Science or equivalent experience in ML. - Experience working with ML technologies (PyTorch, Sagemaker, Triton, TensorRT, etc.). - Experience with NoSQL and document databases. - Proven ability to handle big data, optimize workflows, and improve system performance. Salary Salary based on qualifications, experience and region up to USD 170 k to 240 K plus benefits. $170,000 - $240,000 a year

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves working closely with cross-functional teams to build and automate data pipelines, analyze large-scale datasets from a variety of products, and develop dashboards that help legal and business partners make data-driven decisions. - Collect data from products across the company (Search, messages, Instagram, ads etc.) for use in legal matters - Automate analyses and author pipelines via SQL and Python based ETL framework - Build dashboards to bring your pipelines to life for non-technical partners - Stay up to date on new structured data sources within the Company as they are developed and help non-technical partners understand the use and content of these sources - Create and maintain internal documentation on pipelines, tools, data sets - Partner with lawyers across the Legal department to understand their data needs - Partner with economic consultants to develop product and financial models - Partner with data science teams to ensure accuracy of analyses - Partner with infrastructure and data engineers to manage large data sets effectively Qualifications - 3+ years of experience doing quantitative analysis - Bachelor's Degree in a Quantitative or Technical field - SQL, Excel, and data analysis experience - Python/R scripting experience - Experience with distributed computing (Hive/Hadoop) - Experience with Unix/Linux - Experience initiating and driving projects to completion with minimal guidance - Experience working cross-functionally and communicating technical content to general audiences Requirements - MBA or Masters in a technical discipline (optional) - PHP experience (optional) - Experience working with non-technical partners (optional) Benefits We are proud to offer our employees a range of benefits, including: - Competitive compensation - Professional development opportunities - Flexible work arrangements Minimum Degree Required Bachelor’s Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required.

Procon is a top-ranked construction management and technology consulting firm with 25 years of experience delivering high‑impact projects across the U.S. and worldwide. An ENR Top 100 CM/PM firm for five consecutive years, we specialize in program management, project controls, commissioning, and technology—and offer an excellent platform to grow your career while shaping the future of the built environment. Procon now seeks a Senior Cost Estimator. This candidate should have 7+ years of experience specializing in a wide range of projects including, but not limited to, office, K-12, Colleges, Airports, Land Port of Entry, Courthouses, Laboratories, commercial fit-outs, hotels, hospitals, mixed-use facilities.  This role requires various skills and experience as listed below.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The purpose of this internship is to apply AI and large language models to modernize and enhance efficiency in biostatistics and statistical programming workflows. The intern will explore opportunities for automation and innovation across key areas such as: - TLF quality review - CDISC mapping - Clinical graphics engine - Biostats report generation This role ultimately aims to advance the integration of emerging technologies into core biostatistical and statistical programming operations. Work Model: Remote - Officially documented as working full-time from home, with travel to Ultragenyx's offices or other locations on occasion as needed. Responsibilities: - Apply AI and large language models to enhance efficiency and quality within biostatistics and statistical programming workflows. - Support development of AI-assisted tools for TLF quality review, including automated checks, annotations, or validation aids. - Contribute to building an AI-enabled CDISC mapping tool to streamline dataset standardization. - Assist in creating automated clinical graphics solutions that leverage LLMs or generative AI for quicker and more consistent visualization outputs. - Participate in developing AI-based report generation workflows to improve speed and consistency of clinical study outputs. - Prototype, evaluate, and document emerging AI/ML methods relevant to statistical programming tasks. - Collaborate with biostatisticians and programmers to gather requirements, test solutions, and integrate prototypes into existing workflows. - Present findings, prototypes, and recommendations to the biostatistics and programming leadership team. Qualifications - Currently pursuing a Master’s or PhD degree in Biostatistics, Statistics, Data Science, Computer Science, Biomedical Informatics, or a related quantitative discipline. - Advanced proficiency in Python is a must, including experience with data manipulation, automation, or AI/ML workflows. - Experience with programming languages commonly used in biostatistics such as SAS or R, and familiarity with development environments like Visual Studio Code. - Exposure to AI/ML concepts, large language models, or natural language processing—through coursework, projects, or research. - Strong analytical, problem-solving, and communication skills, with interest in applying emerging technologies to real-world scientific workflows. Requirements - U.S. Hourly Wage Range: $30.00-$40.00 per hour. - The estimated hourly range reflects an anticipated range for this position. The actual hourly wage offered will depend on the candidate’s education level. - This position is eligible for annual bonus and equity incentives. Actual individual pay is determined by demonstrated experience and internal equity alignment. Benefits - Generous vacation time and public holidays observed by the company - Volunteer days - Long term incentive and Employee stock purchase plans or equivalent offerings - Employee wellbeing benefits - Fitness reimbursement - Tuition sponsoring - Professional development plans - Benefits vary by region and country