Machining Engineer jobs at Comcast

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You'll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.) Job Summary Responsible for developing and maintaining internal tools that support the delivery and troubleshooting of voice services. Manage and optimize databases while automating internal processes to enhance efficiency. Design and maintain standardized reporting frameworks, documentation, and processes, providing clear quantitative analyses and ongoing evaluations of alternatives and solutions to drive informed decision-making. Utilize internal and external data sources to generate actionable insights on the voice network, assess the impact of new initiatives, and measure customer engagement with voice products. Job Description This position is ineligible for visa sponsorship. To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future. Core Responsibilities: Develop and maintain full-stack applications using modern frameworks and technologies (React, Node.js, Python) to deliver scalable and efficient solutions. Design, build, and integrate REST APIs with external services to enable seamless data exchange and functionality. Troubleshoot production issues and optimize application performance, ensuring reliability and high availability. Administer servers and manage security vulnerabilities, including patching, hardening, and software vulnerabilities to ensure system integrity. Oversee database administration, implementing automation, retention policies, and user access controls for optimal performance and compliance. Collaborate with senior engineers and cross-functional stakeholders to define requirements, set delivery timelines, and track progress. Partner with management to estimate effort and timelines, supporting accurate planning and resource allocation. Provide regular status updates to leadership, ensuring transparency and alignment on project milestones. Provide flexibility in handling additional assignments that support overall business objectives. Required Experience Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience). Hands-on experience developing and debugging server-side applications and web services, ensuring reliability and scalability. Proficiency in modern development technologies, including React, Node.js, Python, and containerization platforms (e.g., Docker). Strong knowledge of relational and columnar databases, with advanced proficiency in SQL for data management and optimization. Demonstrated organizational, analytical, and problem-solving abilities, driving efficient and innovative solutions. Excellent interpersonal and communication skills, with the ability to collaborate effectively across teams. Minimum 2 years of relevant professional experience in software development or related technical roles. Preferred Experience Experience with Infrastructure as Code (IaC) tools, such as Terraform or Ansible, for automated deployments. Cloud platform expertise, including AWS, Azure, or equivalent technologies. Familiarity with Business Intelligence and visualization tools, such as Tableau or Grafana, for data-driven insights. Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Skills Communication, Containerization, Critical Thinking, Python (Programming Language), Structured Query Language (SQL), Team Collaboration, Web Development Tools Compensation Primary Location Pay Range: $85,686.38 - $128,529.58 Comcast intends to offer the selected candidate base pay dependent on job-related, non-discriminatory factors such as experience. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. Education Bachelor's DegreeWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Certifications (if applicable) Relevant Work Experience 2-5 YearsComcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

4-6 years of experience in Off-Highway and Mining domain (Construction & Mining Domain) with expertise in SOLIDWORKS Experience in working with cross-functional and different cultural teams across the globe. Preferably should have worked in Europe or the USA as an on-site coordinator and managed teams. Should have hands-on experience in new product design and development of components made of Sheet Metal, machined castings, and plastics Coordinating with offshore team for project assignments & Delivery planning, ept development, and Pro Problem solving Should understand manufacturing processes and material selection Must have experience of project planning, estimation & scheduling Assist in the definition of project scope and objectives, involving all relevant internal stakeholders and ensuring technical feasibility Manage changes to the project scope, project schedule, and project costs in consultation with offshore ADM Manage the relationship with the client and relevant stakeholders Create and maintain project documentation Meet with customers to take detailed project briefs and clarify specific requirements of each project Good communication and interpersonal skills

4-6 years of experience in Off-Highway and Mining domain (Construction & Mining Domain) with expertise in SOLIDWORKS Experience in working with cross-functional and different cultural teams across the globe. Preferably should have worked in Europe or the USA as an on-site coordinator and managed teams. Should have hands-on experience in new product design and development of components made of Sheet Metal, machined castings, and plastics Coordinating with offshore team for project assignments & Delivery planning, ept development, and problem solving Should understand manufacturing processes and material selection Must have experience of project planning, estimation & scheduling Assist in the definition of project scope and objectives, involving all relevant internal stakeholders and ensuring technical feasibility Manage changes to the project scope, project schedule, and project costs in consultation with offshore ADM Manage the relationship with the client and relevant stakeholders Create and maintain project documentation Meet with customers to take detailed project briefs and clarify specific requirements of each project Good communication and interpersonal skills US Citizen

Role: SAP BTP Principal Engineer These roles will be staffed as Solution Architects within the Customer Transformation program. Interested candidates should have in depth knowledge of SAP and deep technical experience implementing SAP systems. Specific working knowledge of SAP BTP is also required. Customer experience across a utility platform while not required, is highly encouraged. Candidates should possess strong solution-oriented skills, be able to design system architectures, and publish/follow architectural standards. The SAP Principal IT Engineer in the IT department supports the design, development, and implementation of technical solutions for various products and platforms. This role involves working on an agile product and platform teams that requires hands-on technical work, problem-solving, and collaborating within cross-functional teams to deliver high-quality solutions. The Principal IT Engineer will need in depth knowledge of SAP with deep technical experience implementing SAP systems. In this role specific working knowledge of SAP BTP is paramount. The SAP Principal IT Engineer will also need solution-oriented skills, be able to design system architectures, and publish and follow architectural standards. Your responsibilities may include, but are not limited to: Technical Support: Assist in the design, development, and implementation of solutions for assigned technical product/platform Solution Development: Develop and implement solutions that enhance the functionality and performance of assigned products or platforms Collaboration: Work closely with cross-functional teams, including developers, analysts, and stakeholders, to understand requirements and deliver effective solutions Code/ configuration Review and Quality Assurance: Participate in reviews and ensure that solutions meet quality standards and best practices Troubleshooting and Support: Diagnose and resolve technical issues, providing support and maintenance for existing systems Continuous Learning: Stay updated with industry trends and emerging technologies to contribute to innovation and continuous improvement in platform solutions You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications Bachelor's Degree in related field or equivalent work experience 10+ years of IT product or platform engineering or software development experience 5+ years of experience in Salesforce development 5+ years of experience in SAP development 5+ years of experience building and managing integration using APIs and Mulesoft "7+ years' experience as an Architect or Engineer •1+ years of experience in project management •Ability to work effectively in an outsourced IT environment •Experience with and knowledge of legacy and new computing architectures •Experience with managing technology costs •Experience working with a variety of technologies within a domain " Bachelor's Degree in Computer Science, Engineering or related discipline or relevant work experience Responsibilities: "An IT Engineer will: •Implement strategies to consolidate and protect IT assets •Maintain inventory of IT assets and related configuration •Collaborate closely with Architects and IT staff to drive objectives •Ensure adherence to standards and reference architectures for the domain •Develop / review design artifacts for compliance with architecture direction •Update product standards versions in assigned domains •Drive technology portfolio management discipline •Direct implementation of technology roadmap initiatives •Implement best practices and standards •Identify and manage technology risks •Communicate clearly and effectively with architecture, project / program managers etc. •Provide recommendations to be considered in developing the Technology roadmap "

SAP Principal Engineer Columbus, OH - Hybrid "•7+ years' experience as an SAP Engineer •1+ years of experience in project management •Ability to work effectively in an outsourced IT environment •Experience with and knowledge of legacy and new computing architectures •Experience with managing technology costs •Experience working with a variety of technologies within a domain " Bachelor's Degree in Computer Science, Engineering or related discipline or relevant work experience

Job Title: Vehicle Dynamics / ADAMS Simulation Engineer Job Type: Full-Time We are seeking a skilled Vehicle Dynamics and Simulation Engineer with expertise in MSC ADAMS/Car for full-vehicle modeling, load generation, and ride & handling analysis. The ideal candidate will have hands-on experience in Time/Frequency domain analysis, NVH load cascades, and correlation of simulation results with test data. Key Responsibilities: Generate Time/Frequency loads and forces using high-fidelity full-vehicle ADAMS/Car models, including F-Tire and digitized road inputs. Perform NVH load cascade analyses using full-vehicle ADAMS/Car models with RLDA (Road Load Data Acquisition) measured spindle inputs. Develop and maintain system-level mechanism simulation models for various vehicle subsystems. Conduct Ride and Handling (R&H) analysis using MSC ADAMS/Car, interpret results, and provide actionable insights to the design team. Perform static and dynamic load generation in ADAMS/Car and ADAMS/View environments. Develop automation macros and scripts to enable fast, repeatable, and error-free simulation workflows. Collaborate with the design and test teams to ensure accurate and robust full-vehicle ADAMS/Car model creation. Correlate simulation results with physical vehicle or subsystem test data to improve model fidelity and accuracy. Required Skills & Qualifications: Bachelor's or Master's degree in Mechanical Engineering, Automotive Engineering, or related field. 3-8 years of hands-on experience with MSC ADAMS/Car and ADAMS/View. Strong knowledge of vehicle dynamics, multibody simulation (MBS), and NVH load analysis. Experience with F-Tire modeling, digitized road data, and RLDA inputs. Proficiency in macro scripting (ADAMS commands, Python, or similar) for process automation. Understanding of ride & handling fundamentals, static/dynamic load paths, and system-level correlation. Excellent analytical, problem-solving, and teamwork skills. Preferred Qualifications: Experience with automotive load development and virtual vehicle validation. Familiarity with Durability, NVH, and Test Correlation processes. Prior exposure to OEM vehicle dynamics or CAE simulation teams (e.g., GM, Ford, Stellantis, etc.).

Jackson, TN - Onsite Existing Vehicle Powertrain: includes pre-production preparation of casting products such as aluminum cylinder blocks, HYBRID transmission cases and housings BEV Development: planning and pre-production preparation for BEV STEP 3 e-Axle case and housing and suspension member (SOP~2027) Project scope can span 12-24mo and includes planning / budget development, equipment / die procurement, equipment installation, and casting trials leading to SOP. Project budgets typically range from $5~$45M Manage Processes Study TMC based processes and develop unique NA “Operation Drawings” that support NA processes. Other processes that may require support; shikumi development, hoshin (goals) objectives Resolve Problems Build and manage problem list (“Punchlist”) that develop on a regular (daily) basis during the course of a project. Learn and apply TBP method of problem solving. Lead / Manage Team Members Lead a project group during the pre-production phase of a project. This includes scheduling meetings, leading equipment installation contractors, reviewing materials and gaining consensus. Requirements: What you bring BS (or above) in Engineering (or equivalent related engineering experience) - Mechanical Eng, Metallurgical Eng, Electrical 3+ years of Production Preparation and/or Manufacturing Experience 1+ years of major model change experience (equipment, fixtures, tooling, transfers) & impact to part quality / manufacturability 1+ years of experience as project leader with resp. for a working group including job responsibility coordination and overall project milestone management What you may bring 3+ years of Casting or Metals related manufacturing engineering experience 1+ years High Pressure Die Casting Experience 1+ years direct working experience with NC machining 1+ year working knowledge with Fanuc Robot including system integration and troubleshooting 1+ year working knowledge with PLC including system integration and troubleshooting 1+ years working knowledge with 2D / 3D CAD systems for equip layout and part/die modeling applications Proficient with AutoCAD, Creo or other 2D/3D programs Proficient with programming / troubleshooting industrial PLC platforms Experienced with preparing documentation, presenting / gaining approval for capital projects and cost justification proposals. Successful completion of JKK and TBP Experience leading TEMA PE Projects with budgets exceeding $5M 1+ TMNA project cycles from Planning to SOP.

We are seeking a manufacturing engineer to join our dynamic production team. The ideal candidate will be responsible for improving manufacturing processes, driving operational efficiency, and supporting production operations with a focus on safety, quality, and continuous improvement. This hybrid role blends industrial engineering principles with hands-on manufacturing support, offering opportunities to work directly on the shop floor while contributing to long-term process enhancements. Key Responsibilities: Develop, evaluate, and improve manufacturing processes and methods. Collaborate with production, quality, and maintenance teams to troubleshoot and optimize operations. Design, procure, and implement tools, fixtures, and equipment for manufacturing. Conduct time studies, workflow analysis, and line balancing to improve productivity and efficiency. Implement lean manufacturing principles (5S, Kaizen, value stream mapping, etc.) to reduce waste and improve flow. Support New Product Introduction (NPI) activities, including process validation and documentation. Prepare and maintain process documentation, SOPs, and work instructions. Track and report production metrics (cycle time, downtime, scrap, OEE). Participate in root cause analysis and corrective/preventive actions (CAPA). Contribute to continuous improvement initiatives across safety, quality, and productivity. Assist with layout improvements, equipment integration, and workflow optimization. Learn and apply ERP/MES systems for production planning and tracking. Qualifications: Bachelor's degree in Mechanical, Manufacturing, or Industrial Engineering (or related field). 3+ years of experience in a manufacturing or production engineering role. Proficiency in CAD software (SolidWorks, AutoCAD, or similar). Strong understanding of lean manufacturing, Six Sigma, and continuous improvement methodologies. Familiarity with ERP/MES systems and production scheduling. Strong analytical, organizational, and problem-solving skills. Excellent verbal and written communication skills. Willingness to work directly on the shop floor and gain hands-on experience. Proficiency in Microsoft Excel and basic data analysis tools.

Seeking a manufacturing/industrial engineer with strong experience in weld tooling/templates, 3D CAD (SolidWorks/Creo/CATIA), and full manufacturing engineering support. Responsibilities: Tooling design & validation (weld/assembly fixtures, gauges, templates). 3D CAD modeling and updates. Assembly process planning & manufacturing process flow development. Material handling equipment and racking system design; load validation. Create/update SOPs, CNs, DOU. Lean implementation, cost reduction, 5S support. Material flow optimization and standardization. Daily project follow-up; customer interaction. Vendor coordination for tooling and equipment. Work with onsite manager & offshore team for status reviews. Requirements: U.S. Citizen. Experience in weld tooling (must). Proficiency in SolidWorks/Creo/CATIA (must). Strong manufacturing/industrial engineering background (must).

Mechanical Project Engineer **MUST HAVE experience working in the air movement industry (industrial fans, rotating equipment, etc.)** The Project Fan Engineer is highly skilled in project management, mechanical engineering, and design. The position interfaces with architects, engineers, consultants, customers, and manufacturing on the design and redesign of new and existing air moving equipment utilized in the chemical, petrochemical, power, waste-water treatment plants, or other heavy process industries. The Project Fan Engineer has extensive fan knowledge and is the resident expert, ensuring the integrity of all engineering design. Responsibilities: Prepare layouts and manufacturing detailed drawings using SolidWorks, (weldment cut list drawings, bill of material drawings and exploded views) and on occasion AutoCAD. Prepare customer general arrangement drawings and ensure timely submittals. Review returned approval drawings. Implement necessary changes and resubmit or release jobs to the fan plant for fabrication. Provide sales drawings in support of the sales department during fan quotation stage. Calculate and size welds, bolts, bearings, hubs, blade thickness, shaft sizes, etc. Select drives, couplings, vibration isolators, and seals for special applications. Select/confirm proper resin, metal or thermoplastic material of construction to meet process conditions or specifications. Ensure the integrity of engineering design… be the expert! Interface with customers and sales representatives answering questions related to fan selection, design, and performance. Address vendor and customer questions from equipment approval stage through manufacturing, installation, and maintenance. Troubleshoot field problem(s) and recommend corrections. Retrofit old and new blowers including competition. Develop equipment training, installation, operating & maintenance manuals. Develop and update designs in the engineering standards book. Performs other incidental and related duties as required and assigned. Manage customer projects, following life cycle to release, adhering to project budgets and schedules. Additional Responsibilities: Travel to customer's job sites to perform fan startup and training (15% of the time) Field troubleshooting of fan installation. Get involved with ASHRAE, AMCA/ANSI, ISO, etc. Run Modal & FEA analysis. Computational fluid analysis. R&D work. Fan testing and report writing. Required Qualifications: BS Degree in Mechanical Engineering or related field 3+ years of experience working in the air movement industry (industrial fans or rotating equipment) Knowledge of SolidWorks software is required. This person must be detail-oriented with strong organizational skills, strong interpersonal skills, general project management skills and the ability to work well in a team environment. Must have good communication skills and work well with others. Knowledge of moving and rotating machinery. Knowledge of fiberglass reinforced plastics (FRP) as it pertains to fans and blowers. Knowledge of fluid flow. Familiarity with different chemicals and metal alloys is a plus. Ability to theoretically calculate stresses in steel members as well as sizing bolts, welds, bearings, and different power transmission systems. Ability to work with customer specifications. Ability to interpret and apply different specifications to the design and selection of fans and blowers. Manage project life cycle, from purchase order to shipment. Work with foreign subsidiaries on intercompany orders. Strong verbal and written communication skills. Strong multi-tasking and organizational skills. Ability to work independently. Travel Requirements: Incumbents are expected to travel as needed to support assigned business lines(s)

CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We've continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. Areas of Work: * 3D Reconstruction * Semantic Understanding * Generative AI * Neural Rendering Responsibilities: * Collaborate with our team of researchers and engineers to develop and implement state-of-the-art computer vision and machine learning algorithms. * Participate in the design, training, and evaluation of deep learning models for various applications, including 3D reconstruction, object detection, and semantic segmentation. * Contribute to the development and optimization of algorithms for processing and analyzing 3D spatial data. * Conduct experiments, analyze results, and present findings to stakeholders in a clear and concise manner. Basic Qualifications: * Bachelor's degree or higher from an accredited, not-for-profit, in-person institution in computer science or computer/software engineering, or comparable major graduating between December 2025 through June 2026 * Minimum 3.0 cumulative GPA * Must have previous, relevant internship experience * Strong programming skills in Python and experience with deep learning frameworks such as PyTorch. Preferred Qualifications and Skills: * Ability to write understandable, maintainable, and well-documented code. * Familiarity with Agile Development processes and Software Development Lifecycle. * Knowledge of web service design and development. What's in it for you: Joining CoStar Group means becoming part of a culture of collaboration and innovation that attracts top talent across diverse fields. In addition to competitive compensation and performance-based incentives, you'll receive support for both your professional and academic growth through internal training, and tuition reimbursement. Our comprehensive benefits package includes: * Medical, Vision, Dental, and Prescription Drug coverage. * Mental Health Wellness Program. * Life, Legal, and Supplementary Insurance. * Commuter and Parking Benefits. * 401(K) Retirement Plan with matching contributions. * Employee Stock Purchase Plan. * Paid Time Off. * Tuition Reimbursement. * Access to an on-site fitness center (or reimbursed fitness center membership costs), yoga studio, Pelotons, personal training, group exercise classes, and Segways and bikes for the day. * Complimentary gourmet coffee, tea, hot chocolate, prepared foods, fresh fruit, and healthy snacks. Be part of a team of professionals dedicated to learning, growth, and success in a rewarding environment. We encourage all qualified candidates eligible to work full-time in the United States to apply. Please note that CoStar does not provide visa sponsorship for this position. CoStar Group is an Equal Employment Opportunity Employer, maintaining a drug-free workplace and conducting pre-employment substance abuse testing. CoStar Group accepts job applications from candidates in the United States solely through the following channels: * The CoStar Group website. * Email correspondence using only the CoStar domain of "@costar.com". * Screening and interaction via telephone, Microsoft Teams, or Zoom platforms. Please be cautious: * CoStar does not use Wire, Google Hangouts, or any other platform for recruitment-related activities. * Disregard any solicitation or request for information regarding job applications with CoStar via any means other than those listed above. * CoStar will never ask candidates to make any personal financial investment related to employment with the company. This position offers an annual base salary range of $82,300 - $179,000 based on relevant skills and experience and includes a generous benefits plan. CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing #LI-AB1 #Matterport CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

About The Company: At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our four products: Everand, Scribd, Slideshare, and Fable. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It's through our flexible work benefit, Scribd Flex, that employees - in partnership with their manager - can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection. For this reason, occasional in-person attendance is required for all Scribd employees, regardless of their location. So what are we looking for in new team members? Well, we hire for “GRIT”. The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd, we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to. Here's what that means for you: we're looking for someone who showcases the ability to set and achieve Goals, achieve Results within their job responsibilities, contribute Innovative ideas and solutions, and positively influence the broader Team through collaboration and attitude. About the team The Search team powers personalized discovery across Scribd's products, delivering relevant and engaging suggestions to millions of users. We operate at the intersection of large-scale data, cutting-edge machine learning, and product innovation - collaborating across brands and platforms to enhance user experiences in reading, listening, and learning. Our team is a blend of frontend, backend, and ML engineers who partner closely with product managers, data scientists, and analysts. About the Role We're looking for a Senior Machine Learning Engineer to lead the design, architecture, and optimization of high-impact ML discovery features that serve millions of users in near real time. You'll work across the entire lifecycle - from data ingestion to model training, deployment, and monitoring - with a focus on creating fast, reliable, and cost-efficient pipelines. In this role, you will: Lead complex, cross-team projects from conception to production deployment. Drive technical direction for end-to-end, production-grade ML systems for advanced search capabilities and document understanding. Develop and operate services that power high-traffic pipelines for content discovery and knowledge synthesis. Run large-scale A/B and multivariate experiments to validate models and feature improvements. Mentor other engineers and establish best practices for building scalable, reliable ML systems. Tech Stack Our Machine Learning Engineers use a range of technologies to build and operate large-scale ML systems. Our regular toolkit includes: Languages: Python, Golang, Scala, Ruby on Rails Orchestration & Pipelines: Airflow, Databricks, Spark ML & AI: AWS Sagemaker, Embedding-based Retrieval (Weaviate), Feature Store, Model Registry, Model Serving platforms (Weights and Biases), LLM providers like OpenAI, Anthropic, Gemini, etc. APIs & Integration: HTTP APIs, gRPC Infrastructure & Cloud: AWS (Lambda, ECS, EKS, SQS, ElastiCache, CloudWatch), Datadog, Terraform Key Responsibilities Train, evaluate, and deploy ML models (including generative models) to production using Scribd's internal platform and industry-standard frameworks. Collaborate with engineering and analytics teams to build large-scale ingestion, transformation, and validation pipelines on Databricks. Optimize systems for performance, scalability, and reliability across massive datasets and high-throughput services. Design and run A/B and N-way experiments to measure the impact of model and feature changes. Partner with product managers, data scientists, and analysts to identify opportunities, define requirements, and deliver solutions that solve real user problems. Requirements 6+ years of experience as a professional ML engineer or software engineer, with a proven track record of delivering production ML systems at scale. Proficiency in at least one key programming language (preferably Python or Golang; Scala or Ruby also considered). Expertise in designing and architecting large-scale ML pipelines and distributed systems. Deep experience with distributed data processing frameworks (Spark, Databricks, or similar). Strong cloud expertise (preferably GCP; also AWS and/or Azure) and experience with deployment platforms (ECS, EKS, Lambda). Experience with embedding-based retrieval, large language models, advanced information retrieval and ranking systems. Experience working with Search systems like query parsing, query intent classification, bm25, reranking, etc. Proven ability to optimize system performance and make informed trade-offs in ML model and system design. Experience leading technical projects and mentoring engineers. Bachelor's or Master's degree in Computer Science or equivalent professional experience. At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $157,500 [minimum salary in our lowest geographic market within California] to $230,000 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $129,500 [minimum salary in our lowest US geographic market outside of California] to $220,000 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $165,000 CAD[minimum salary in our lowest geographic market] to $218,000 CAD[maximum salary in our highest geographic market]. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. Working at Scribd, inc. Are you currently based in a location where Scribd is able to employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits, Perks, and Wellbeing at Scribd *Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work. Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees 12 weeks paid parental leave Short-term/long-term disability plans 401k/RSP matching Onboarding stipend for home office peripherals + accessories Learning & Development allowance Learning & Development programs Quarterly stipend for Wellness, WiFi, etc. Mental Health support & resources Free subscription to the Scribd Inc. suite of products Referral Bonuses Book Benefit Sabbaticals Company-wide events Team engagement budgets Vacation & Personal Days Paid Holidays (+ winter break) Flexible Sick Time Volunteer Day Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace. Access to AI Tools: We provide free access to best-in-class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation. Want to learn more about life at Scribd? ************************************ We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process. Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.

About The Company: At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our four products: Everand, Scribd, Slideshare, and Fable. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It's through our flexible work benefit, Scribd Flex, that employees - in partnership with their manager - can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection. For this reason, occasional in-person attendance is required for all Scribd employees, regardless of their location. So what are we looking for in new team members? Well, we hire for “GRIT”. The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd, we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to. Here's what that means for you: we're looking for someone who showcases the ability to set and achieve Goals, achieve Results within their job responsibilities, contribute Innovative ideas and solutions, and positively influence the broader Team through collaboration and attitude. About the Recommendations Team The Recommendations team powers personalized discovery across Scribd's products, delivering relevant and engaging suggestions to millions of users. We operate at the intersection of large-scale data, cutting-edge machine learning, and product innovation - collaborating across brands and platforms to enhance user experiences in reading, listening, and learning. Our team is a blend of frontend, backend, and ML engineers who partner closely with product managers, data scientists, and analysts. We: Prototype 0→1 solutions in collaboration with product and engineering teams. Build and maintain end-to-end, production-grade ML systems for recommendations, search, and generative AI features. Develop and operate services in Go, Python, and Ruby that power high-traffic recommendation and personalization pipelines. Run large-scale A/B and multivariate experiments to validate models and feature improvements. Transform Scribd's massive, diverse dataset into actionable insights that drive measurable business impact. Explore and implement generative AI for conversational recommendations, document understanding, and advanced search capabilities. About the Role We're looking for a Machine Learning Engineer who will design, build, and optimize ML systems that scale to millions of users. You'll work across the entire lifecycle - from data ingestion to model training, deployment, and monitoring - with a focus on creating fast, reliable, and cost-efficient pipelines. You'll also play a key role in delivering next-generation AI features like doc-chat and ask-AI that expand how users interact with Scribd's content. Key Responsibilities: Data Pipelines - Collaborate with engineering and analytics teams to build large-scale ingestion, transformation, and validation pipelines on Databricks. Model Development & Deployment - Train, evaluate, and deploy ML models (including generative models) to production using Scribd's internal platform and industry-standard frameworks. Experimentation - Design and run A/B and N-way experiments to measure the impact of model and feature changes. Cross-Functional Collaboration - Partner with product managers, data scientists, and analysts to identify opportunities, define requirements, and deliver solutions that solve real user problems. Requirements Must Have 4+ years of post qualification experience as a professional ML or software engineer, with a proven track record of delivering production ML systems at scale. Proficiency in at least one key programming language (preferably Python or Golang; Scala or Ruby also considered). Expertise in designing and architecting large-scale ML pipelines and distributed systems. Deep experience with distributed data processing frameworks (Spark, Databricks, or similar). Strong cloud expertise (AWS, Azure, or GCP) and experience with deployment platforms (ECS, EKS, Lambda). Proven ability to optimize system performance and make informed trade-offs in ML model and system design. Experience leading technical projects and mentoring engineers. Bachelor's or Master's degree in Computer Science or equivalent professional experience. Nice to Have Experience with embedding-based retrieval, large language models, advanced recommendation or ranking systems. Expertise in experimentation design, causal inference, or ML evaluation methodologies. Why Work With Us High-Impact Environment: Your contributions will power recommendations, search, and next-generation AI features used by millions of readers, learners, and listeners worldwide. Cutting-Edge Projects: Tackle challenging ML and AI problems with a forward-thinking team, building novel generative features on top of Scribd's massive and unique dataset. Collaborative Culture: Join a culture that values debate, fresh perspectives, and a willingness to learn from each other. Flexible Workplace: Benefit from Scribd Flex, which offers autonomy in choosing your daily work style, while still prioritizing in-person collaboration. At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $157,500 [minimum salary in our lowest geographic market within California] to $230,000 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $129,500 [minimum salary in our lowest US geographic market outside of California] to $220,000 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $165,000 CAD[minimum salary in our lowest geographic market] to $218,000 CAD[maximum salary in our highest geographic market]. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. Working at Scribd, inc. Are you currently based in a location where Scribd is able to employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits, Perks, and Wellbeing at Scribd *Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work. Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees 12 weeks paid parental leave Short-term/long-term disability plans 401k/RSP matching Onboarding stipend for home office peripherals + accessories Learning & Development allowance Learning & Development programs Quarterly stipend for Wellness, WiFi, etc. Mental Health support & resources Free subscription to the Scribd Inc. suite of products Referral Bonuses Book Benefit Sabbaticals Company-wide events Team engagement budgets Vacation & Personal Days Paid Holidays (+ winter break) Flexible Sick Time Volunteer Day Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace. Access to AI Tools: We provide free access to best-in-class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation. Want to learn more about life at Scribd? ************************************ We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process. Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.

About The Company: At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our four products: Everand, Scribd, Slideshare, and Fable. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It's through our flexible work benefit, Scribd Flex, that employees - in partnership with their manager - can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection. For this reason, occasional in-person attendance is required for all Scribd employees, regardless of their location. So what are we looking for in new team members? Well, we hire for “GRIT”. The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd, we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to. Here's what that means for you: we're looking for someone who showcases the ability to set and achieve Goals, achieve Results within their job responsibilities, contribute Innovative ideas and solutions, and positively influence the broader Team through collaboration and attitude. About the team: Our Machine Learning team builds both the platform and product applications that power personalized discovery, recommendations, and generative AI features across Scribd, Slideshare, and Everand. ML teams works on the Orion ML Platform - providing core ML infrastructure, including a feature store, model registry, model inference systems, and embedding-based retrieval (EBR). MLE team also works closely with Product team - delivering zero-to-one integrations of ML into user-facing features like recommendations, near real-time personalization, and AskAI LLM-powered experiences Role Overview: We are seeking a Senior Machine Learning Engineer to lead the design, architecture, and optimization of high-impact ML systems that serve millions of users in near real time. In this role, you will: Drive technical direction for both platform and product-facing ML initiatives. Lead complex, cross-team projects from conception to production deployment. Mentor other engineers and establish best practices for building scalable, reliable ML systems. Influence the roadmap and architecture of our ML Platform. Tech Stack: Our Machine Learning team uses a range of technologies to build and operate large-scale ML systems. Our regular toolkit includes: Languages: Python, Golang, Scala, Ruby on Rails Orchestration & Pipelines: Airflow, Databricks, Spark ML & AI: AWS Sagemaker, embedding-based retrieval (Weaviate), feature store, model registry, model serving platforms, LLM providers like OpenAI, Anthropic, Gemini, etc. APIs & Integration: HTTP APIs, gRPC Infrastructure & Cloud: AWS (Lambda, ECS, EKS, SQS, ElastiCache, CloudWatch), Datadog, Terraform Key Responsibilities: Lead the design and architecture of ML pipelines, from data ingestion and feature engineering to model training, deployment, and monitoring. Own the technical direction of core ML Platform components such as the feature store, model registry, and embedding-based retrieval systems. Collaborate with product software engineers to deliver ML models that enhance recommendations, personalization, and generative AI features. Guide experimentation strategy, A/B testing design, and performance analysis to inform production decisions. Optimize systems for performance, scalability, and reliability across massive datasets and high-throughput services. Establish and uphold engineering best practices, including code quality, system design reviews, and operational excellence. Mentor and coach ML engineers, fostering technical growth and collaboration across the team. Work with leadership to align technical initiatives with long-term ML strategy. Requirements: Must Have 6+ years of experience as a professional ML or software engineer, with a proven track record of delivering production ML systems at scale. Proficiency in at least one key programming language (preferably Python or Golang; Scala or Ruby also considered). Expertise in designing and architecting large-scale ML pipelines and distributed systems. Deep experience with distributed data processing frameworks (Spark, Databricks, or similar). Strong cloud expertise (AWS, Azure, or GCP) and experience with deployment platforms (ECS, EKS, Lambda). Proven ability to optimize system performance and make informed trade-offs in ML model and system design. Experience leading technical projects and mentoring engineers. Bachelor's or Master's degree in Computer Science or equivalent professional experience. Nice to Have Experience with embedding-based retrieval, large language models, advanced recommendation or ranking systems. Experience building or leading development of feature stores, model serving & monitoring platforms, and experimentation systems. Expertise in experimentation design, causal inference, or ML evaluation methodologies. Contributions to open-source ML/AI tooling or infrastructure. Why Join Us As a Senior ML Engineer at Scribd, you will shape the future of our ML systems, from foundational platform capabilities to cutting-edge AI applications. You'll work with rich multimodal data (text, audio, images), state-of-the-art retrieval and recommendation technologies, and partner with a talented, cross-functional team to deliver personalized, impactful experiences for millions of users. At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $157,500 [minimum salary in our lowest geographic market within California] to $230,000 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $129,500 [minimum salary in our lowest US geographic market outside of California] to $220,000 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $165,000 CAD[minimum salary in our lowest geographic market] to $218,000 CAD[maximum salary in our highest geographic market]. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. Working at Scribd, inc. Are you currently based in a location where Scribd is able to employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits, Perks, and Wellbeing at Scribd *Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work. Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees 12 weeks paid parental leave Short-term/long-term disability plans 401k/RSP matching Onboarding stipend for home office peripherals + accessories Learning & Development allowance Learning & Development programs Quarterly stipend for Wellness, WiFi, etc. Mental Health support & resources Free subscription to the Scribd Inc. suite of products Referral Bonuses Book Benefit Sabbaticals Company-wide events Team engagement budgets Vacation & Personal Days Paid Holidays (+ winter break) Flexible Sick Time Volunteer Day Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace. Access to AI Tools: We provide free access to best-in-class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation. Want to learn more about life at Scribd? ************************************ We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process. Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.

About The Company: At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our four products: Everand, Scribd, Slideshare, and Fable. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It's through our flexible work benefit, Scribd Flex, that employees - in partnership with their manager - can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection. For this reason, occasional in-person attendance is required for all Scribd employees, regardless of their location. So what are we looking for in new team members? Well, we hire for “GRIT”. The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd, we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to. Here's what that means for you: we're looking for someone who showcases the ability to set and achieve Goals, achieve Results within their job responsibilities, contribute Innovative ideas and solutions, and positively influence the broader Team through collaboration and attitude. About the Recommendations Team The Recommendations team powers personalized discovery across Scribd's products, delivering relevant and engaging suggestions to millions of users. We operate at the intersection of large-scale data, cutting-edge machine learning, and product innovation - collaborating across brands and platforms to enhance user experiences in reading, listening, and learning. Our team is a blend of frontend, backend, and ML engineers who partner closely with product managers, data scientists, and analysts. We: Prototype 0→1 solutions in collaboration with product and engineering teams. Build and maintain end-to-end, production-grade ML systems for recommendations, search, and generative AI features. Develop and operate services in Go, Python, and Ruby that power high-traffic recommendation and personalization pipelines. Run large-scale A/B and multivariate experiments to validate models and feature improvements. Transform Scribd's massive, diverse dataset into actionable insights that drive measurable business impact. Explore and implement generative AI for conversational recommendations, document understanding, and advanced search capabilities. About the Role We're looking for a Machine Learning Engineer who will design, build, and optimize ML systems that scale to millions of users. You'll work across the entire lifecycle - from data ingestion to model training, deployment, and monitoring - with a focus on creating fast, reliable, and cost-efficient pipelines. You'll also play a key role in delivering next-generation AI features like doc-chat and ask-AI that expand how users interact with Scribd's content. Key Responsibilities: Data Pipelines - Collaborate with engineering and analytics teams to build large-scale ingestion, transformation, and validation pipelines on Databricks. Model Development & Deployment - Train, evaluate, and deploy ML models (including generative models) to production using Scribd's internal platform and industry-standard frameworks. Experimentation - Design and run A/B and N-way experiments to measure the impact of model and feature changes. Cross-Functional Collaboration - Partner with product managers, data scientists, and analysts to identify opportunities, define requirements, and deliver solutions that solve real user problems. Requirements Must Have 4+ years of post qualification experience as a professional ML or software engineer, with a proven track record of delivering production ML systems at scale. Proficiency in at least one key programming language (preferably Python or Golang; Scala or Ruby also considered). Expertise in designing and architecting large-scale ML pipelines and distributed systems. Deep experience with distributed data processing frameworks (Spark, Databricks, or similar). Strong cloud expertise (AWS, Azure, or GCP) and experience with deployment platforms (ECS, EKS, Lambda). Proven ability to optimize system performance and make informed trade-offs in ML model and system design. Experience leading technical projects and mentoring engineers. Bachelor's or Master's degree in Computer Science or equivalent professional experience. Nice to Have Experience with embedding-based retrieval, large language models, advanced recommendation or ranking systems. Expertise in experimentation design, causal inference, or ML evaluation methodologies. Why Work With Us High-Impact Environment: Your contributions will power recommendations, search, and next-generation AI features used by millions of readers, learners, and listeners worldwide. Cutting-Edge Projects: Tackle challenging ML and AI problems with a forward-thinking team, building novel generative features on top of Scribd's massive and unique dataset. Collaborative Culture: Join a culture that values debate, fresh perspectives, and a willingness to learn from each other. Flexible Workplace: Benefit from Scribd Flex, which offers autonomy in choosing your daily work style, while still prioritizing in-person collaboration. At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $146,500 [minimum salary in our lowest geographic market within California] to $228,000 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $120,000 [minimum salary in our lowest US geographic market outside of California] to $217,000 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $153,000 CAD[minimum salary in our lowest geographic market] to $202,000 CAD[maximum salary in our highest geographic market]. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. Working at Scribd, inc. Are you currently based in a location where Scribd is able to employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits, Perks, and Wellbeing at Scribd *Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work. Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees 12 weeks paid parental leave Short-term/long-term disability plans 401k/RSP matching Onboarding stipend for home office peripherals + accessories Learning & Development allowance Learning & Development programs Quarterly stipend for Wellness, WiFi, etc. Mental Health support & resources Free subscription to the Scribd Inc. suite of products Referral Bonuses Book Benefit Sabbaticals Company-wide events Team engagement budgets Vacation & Personal Days Paid Holidays (+ winter break) Flexible Sick Time Volunteer Day Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace. Access to AI Tools: We provide free access to best-in-class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation. Want to learn more about life at Scribd? ************************************ We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process. Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.

About The Company: At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our four products: Everand, Scribd, Slideshare, and Fable. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It's through our flexible work benefit, Scribd Flex, that employees - in partnership with their manager - can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection. For this reason, occasional in-person attendance is required for all Scribd employees, regardless of their location. So what are we looking for in new team members? Well, we hire for “GRIT”. The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd, we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to. Here's what that means for you: we're looking for someone who showcases the ability to set and achieve Goals, achieve Results within their job responsibilities, contribute Innovative ideas and solutions, and positively influence the broader Team through collaboration and attitude. About the team: Our Machine Learning team builds both the platform and product applications that power personalized discovery, recommendations, and generative AI features across Scribd, Slideshare, and Everand. ML teams works on the Orion ML Platform - providing core ML infrastructure, including a feature store, model registry, model inference systems, and embedding-based retrieval (EBR). MLE team also works closely with Product team - delivering zero-to-one integrations of ML into user-facing features like recommendations, near real-time personalization, and AskAI LLM-powered experiences Role Overview: We are seeking a Machine Learning Engineer II to help design, build, and optimize high-impact ML systems that serve millions of users in near real time. You will work on projects that span from improving our core ML platform to integrating models directly into the product experience. Tech Stack: Our Machine Learning team uses a range of technologies to build and operate large-scale ML systems. Our regular toolkit includes: Languages: Python, Golang, Scala, Ruby on Rails Orchestration & Pipelines: Airflow, Databricks, Spark ML & AI: AWS Sagemaker, embedding-based retrieval (Weaviate), feature store, model registry, model serving platforms, LLM providers like OpenAI, Anthropic, Gemini, etc. APIs & Integration: HTTP APIs, gRPC Infrastructure & Cloud: AWS (Lambda, ECS, EKS, SQS, ElastiCache, CloudWatch), Datadog, Terraform. Key Responsibilities: Design, build, and optimize ML pipelines, including data ingestion, feature engineering, training, and deployment for large-scale, real-time systems. Improve and extend core ML Platform capabilities such as the feature store, model registry, and embedding-based retrieval services. Collaborate with product software engineers to integrate ML models into user-facing features like recommendations, personalization, and AskAI. Conduct model experimentation, A/B testing, and performance analysis to guide production deployment. Optimize and refactor existing systems for performance, scalability, and reliability. Ensure data accuracy, integrity, and quality through automated validation and monitoring. Participate in code reviews and uphold engineering best practices. Manage and maintain ML infrastructure in cloud environments, including deployment pipelines, security, and monitoring. Requirements: Must Have 3+ years of experience as a professional software or machine learning engineer. Proficiency in at least one key programming language (preferably Python or Golang; Scala or Ruby also considered). Hands-on experience building ML pipelines and working with distributed data processing frameworks like Apache Spark, Databricks, or similar. Experience working with systems at scale and deploying to production environments. Cloud experience (AWS, Azure, or GCP), including building, deploying, and optimizing solutions with ECS, EKS, or AWS Lambda. Strong understanding of ML model trade-offs, scaling considerations, and performance optimization. Bachelor's in Computer Science or equivalent professional experience. Nice to Have Experience with embedding-based retrieval, recommendation systems, ranking models, or large language model integration. Experience with feature stores, model serving & monitoring platforms, and experimentation systems. Familiarity with large-scale system design for ML. At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $126,000 [minimum salary in our lowest geographic market within California] to $196,000 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $T103,500 [minimum salary in our lowest US geographic market outside of California] to $186,500 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $131,500 CAD[minimum salary in our lowest geographic market] to $174,500 CAD[maximum salary in our highest geographic market]. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. Working at Scribd, inc. Are you currently based in a location where Scribd is able to employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits, Perks, and Wellbeing at Scribd *Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work. Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees 12 weeks paid parental leave Short-term/long-term disability plans 401k/RSP matching Onboarding stipend for home office peripherals + accessories Learning & Development allowance Learning & Development programs Quarterly stipend for Wellness, WiFi, etc. Mental Health support & resources Free subscription to the Scribd Inc. suite of products Referral Bonuses Book Benefit Sabbaticals Company-wide events Team engagement budgets Vacation & Personal Days Paid Holidays (+ winter break) Flexible Sick Time Volunteer Day Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace. Access to AI Tools: We provide free access to best-in-class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation. Want to learn more about life at Scribd? ************************************ We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process. Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.

Aurora, IL SUMMARY: Westell is seeking a Mechanical Design Engineer to join our product design team in its Aurora, Illinois headquarters. This position will be responsible to design, develop, document, test and debug products - from concept to engineering release - involving all Westell product lines including our outside plant cabinet, cabinet system integration, IBW, and ISM product lines. You'll be responsible for the entire mechanical product design and will need to collaborate with other mechanical, electrical, system or software engineers in the planning, design, and development of a variety of end products The position is full-time and onsite in Aurora. The ideal candidate will have proven cross-functional team experience working with local and remote teams. The candidate will develop significant new products and see their new products come to market. Join a company where you can be a product development leader and not just one of the crowd. ESSENTIAL DUTIES AND RESPONSIBILITIES: * Mechanical engineering leadership in cross functional development teams * Define, design, and launch new products * Work with customers to develop products that meet their needs * Provide leadership in supporting products for the entire product life cycle * Identify new technologies and technical partners to successfully bring products to market * Productize designs developed internally or externally (including generating bills of materials, part specifications, test specifications, fabrication drawings, etc.) * Direct testing and evaluation of internally and externally developed designs/products * Generation of technical documentation including requirements and test specifications * Act as a product expert providing technical support for sales and marketing activities * Evaluate existing designs for performance cost and quality improvements * Perform other duties as assigned. QUALIFICATIONS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements below are representative of the knowledge, skill, and/or ability required. * Bachelor's degree in mechanical engineering * 5+ years of applied mechanical design skills * Sheet metal, plastics, and printed circuit board design for electro-mechanical products * Experience with mechanical CAD, SolidWorks a plus * Experience with PDM and BOM management, Agile PLM a plus * CFD simulation tool experience a plus * 3+ years of experience working with worldwide suppliers * Strong communication and leadership skills working in cross functional teams ACCOUNTABILITIES: * Owns NP design / test/ documentation * Achieve NP Design Goals & Milestones * Execute NPD Process for all designs * Research / identify new technologies * Existing Product Support PHYSICAL DEMANDS: The physical demands are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. * Required to sit, stand, bend and walk regularly; lift and/or move up to 50 pounds. * Visual and auditory ability sufficient for written and verbal communication. * The noise level in the work environment is usually moderate. Salary: $90,000 - $100,000 annually

AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today's five billion mobile subscribers and finally bring broadband to the billions who remain unconnected. Position Overview We are seeking a Senior Mechanical Engineer to support satellite mechanical systems and payload development across systems engineering, mechanical design, structural analysis, assembly, integration, and test activities. This role requires strong technical expertise, creativity, and the ability to challenge traditional approaches. The engineer will collaborate across multidisciplinary teams, lead small groups when needed, and manage assignments with a high degree of autonomy to advance spacecraft mechanical architecture, performance, and manufacturability. Key Responsibilities Perform spacecraft mechanical system and payload layout studies to optimize architecture for simplicity, performance, mass, and cost. Develop and maintain mechanical and structural design documentation at the system and equipment level, including manufacturing drawings, interface control drawings (ICDs), assembly/process documentation, and test plans. Prepare and present technical content for design reviews, readiness reviews, and engineering checkpoints. Troubleshoot mechanical anomalies and failures; conduct root-cause analyses and implement corrective actions. Collaborate closely with manufacturing and production teams to ensure effective transfer of designs, processes, and technical information. Evaluate, promote, and integrate new technologies, methods, and processes to improve mechanical design and production efficiency. Track drawing release progress to meet program schedules and business objectives. Qualifications Education: Master's degree in mechanical engineering or a related technical discipline. Experience: A minimum of 10 years of hands-on experience in mechanical design, integration, and testing of spacecraft and spacecraft components. Preferred Qualifications Experience with launch vehicle integration. Familiarity with Autodesk Inventor (preferred), CATIA, SolidWorks, or CREO. Demonstrated ability to design spacecraft assemblies for launch and on-orbit environments, including design for manufacturability. Soft Skills Strong interpersonal skills with the ability to collaborate effectively within cross-functional teams. Excellent written and verbal communication skills. High attention to detail to ensure accuracy in technical documentation and engineering deliverables. Adaptability and comfort working in a fast-paced, dynamic environment. Technology Stack CAD tools: Autodesk Inventor (preferred), CATIA, SolidWorks, CREO. Standard engineering analysis and documentation tools. Physical Requirements Ability to work in a standard office environment and operate a computer for extended periods. Occasional hands-on work in assembly, integration, and testing environments. This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands . AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today's five billion mobile subscribers and finally bring broadband to the billions who remain unconnected. Position Overview We are seeking a Senior Mechanical Engineer to support satellite mechanical systems and payload development across systems engineering, mechanical design, structural analysis, assembly, integration, and test activities. This role requires strong technical expertise, creativity, and the ability to challenge traditional approaches. The engineer will collaborate across multidisciplinary teams, lead small groups when needed, and manage assignments with a high degree of autonomy to advance spacecraft mechanical architecture, performance, and manufacturability. Key Responsibilities Perform spacecraft mechanical system and payload layout studies to optimize architecture for simplicity, performance, mass, and cost. Develop and maintain mechanical and structural design documentation at the system and equipment level, including manufacturing drawings, interface control drawings (ICDs), assembly/process documentation, and test plans. Prepare and present technical content for design reviews, readiness reviews, and engineering checkpoints. Troubleshoot mechanical anomalies and failures; conduct root-cause analyses and implement corrective actions. Collaborate closely with manufacturing and production teams to ensure effective transfer of designs, processes, and technical information. Evaluate, promote, and integrate new technologies, methods, and processes to improve mechanical design and production efficiency. Track drawing release progress to meet program schedules and business objectives. Qualifications Education: Master's degree in mechanical engineering or a related technical discipline. Experience: A minimum of 10 years of hands-on experience in mechanical design, integration, and testing of spacecraft and spacecraft components. Preferred Qualifications Experience with launch vehicle integration. Familiarity with Autodesk Inventor (preferred), CATIA, SolidWorks, or CREO. Demonstrated ability to design spacecraft assemblies for launch and on-orbit environments, including design for manufacturability. Soft Skills Strong interpersonal skills with the ability to collaborate effectively within cross-functional teams. Excellent written and verbal communication skills. High attention to detail to ensure accuracy in technical documentation and engineering deliverables. Adaptability and comfort working in a fast-paced, dynamic environment. Technology Stack CAD tools: Autodesk Inventor (preferred), CATIA, SolidWorks, CREO. Standard engineering analysis and documentation tools. Physical Requirements Ability to work in a standard office environment and operate a computer for extended periods. Occasional hands-on work in assembly, integration, and testing environments. This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands . AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.