About Upstart At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 1,800 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you’ll have the support to work in the way that works best for you. If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you. The Team Upstart’s Small Dollar Loans (SDL) and Cash Line ML teams sits at the center of our mission to expand access to credit for those who need it most. SDL provides short-term personal loans; Cash Line, our soon-to-launch subscription-based line of credit, offers ongoing flexibility for customers often left out of traditional lending. Both products aim to ease financial strain and improve long-term outcomes for underserved borrowers. This high-performing team of scientists and engineers, soon to be led by you, builds and refines the core underwriting and pricing models behind these products. These are Upstart’s most innovative and experimental systems - applying ML not only to predict credit risk but also to optimize the costs of lending so we can expand approvals while keeping borrowing affordable. You’ll advance these systems end-to-end: improving risk separation, refining cost models, and designing the decision logic that translates model outputs into customer-facing decisions. You’ll also lead 0→1 efforts that establish new ML capabilities, particularly for Cash Line. You’ll collaborate closely with GMs, Product, and Engineering to drive these products from experimentation to scale. How you'll make an impact: - Drive early ML innovation for Cash Line, developing and refining our first suite of models for customer behavior (churn, draw, graduate, default) - Improve and evolve SDL underwriting models and efficiency, and explore convergence opportunities with personal loan models to ensure a unified, scalable approach to small-dollar credit - Design or refine decision engines that translate model predictions into accurate, transparent, and customer-friendly lending outcomes - Develop and validate robust model performance metrics that build confidence in our systems and unlock resilient, low-cost capital from investors - Foster a culture of technical rigor, fast learning, and pragmatic execution within a small, high-talent team operating at the frontier of Upstart’s lending innovation - Collaborate closely with Product, Engineering, Capital Markets, and Data Analytics to align ML solutions with product strategy, business goals, and financial performance. - Attract, mentor, and grow a top-tier team of ML scientists passionate about expanding access to credit. What we're looking for: - Minimum Qualifications - Experience - 6+ years of experience developing and deploying machine learning models in production with direct customer and financial impact. - Proven track record of leading high-impact ML initiatives from research through productionization. - Advanced degree in Computer Science, Statistics, Economics or a related field. - Technical abilities and aptitude - Strong technical judgment and ability to dive deep into model design, data analysis, and evaluation. - Keen statistical, economic and business intuition, and comfort with reasoning under uncertainty and data limitations. - Knowledge of production ML, ability to adapt to new tech stacks and get in the weeds of work output from the team. - Excited and able to make direct technical contributions when needed. - Leadership - Exceptional leadership skills with experience developing teams of highly technical ML scientists. - Attract, mentor, and grow a top-tier team of ML scientists passionate about expanding access to credit. - Proven ability to influence and collaborate cross-functionally with Product, Engineering, Capital Markets and other teams. - Strong project management skills with experience scaling processes and operational workflows. - Preferred Qualifications - PhD in Computer Science, Statistics, Economics or a related field. - Proven success building and scaling new ML products from inception. - Familiarity with small-dollar lending, lines of credit, or other consumer finance products. But experience only in competitors and traditional financial institutions is a minus. - Hands-on familiarity with end-to-end ML infrastructure, including experimentation pipelines, feature stores, and model monitoring. Ability to uplevel team’s engineering practices and drive cross-functional engineering design. Position Location - This role is available in the following locations: US Remote Time Zone Requirements - This team operates on the East/West Coast time zones. Travel Requirements - This team has regular on-site collaboration sessions. These occur 3-4 days per quarter at one of our offices. If you need to travel to make these meetups, Upstart will cover all travel related expenses. #LI-REMOTE #LI-MidSenior At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). United States | Remote - Anticipated Base Salary Range $238,400—$330,200 USD What you'll love At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect: - Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly - Generous 401(k) plan with Upstart matching $2 for every $1 contributed, up to $15,000 per year - Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees - Affordable medical, dental, and vision coverage, with multiple plan options - Upstart covers 90% to 100% of the cost depending on the plans you choose - Health Savings Account contributions from Upstart for eligible plans - Income protection benefits, including company-paid Basic Life, AD&D, and Short- and Long-Term Disability coverage, with options to purchase supplemental coverage - Paid time off, sick and safe time, and company holidays - Paid family and parental leave to support caregiving and major life moments - Family-centered benefits through Carrot and Cleo, supporting fertility, parenthood, and caregiving - Employee Assistance Program (EAP) offering mental health support and life-centered resources - Financial wellness resources, including access to financial planning tools and a financial concierge service - Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you - Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from - Connection and community through team events and onsites, all-company updates, and employee resource groups (ERGs) - Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our four offices, located in the Bay Area, Austin, Columbus, and New York City (opening Summer 2026!). Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com https://www.upstart.com/candidate_privacy_policy

The application window is expected to close on: 04/30/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Who We Are Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network - even the ones they don't own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues - before they impact end- user experiences. ThousandEyes is deeply integrated across the entire Cisco technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco's leading Networking, Security, Collaboration, and Observability portfolios. About The Role As an AI Engineer on the AI/ML team, you will be responsible for training and tuning the models and performing model evaluations using Deep Learning Machine Learning (AI/ML) Models, and Large Language Models. In this role, you will also be working on data collection design, data engineering, feature engineering, and eval frameworks. The size, diversity, and richness of our data are simply unmatched. The Internet is changing fast, and we are too. The objective of this initiative is to adopt a highly novel and ambitious approach for optimizing networks to better serve applications. What You'll Do You will work with a team of AI engineers to design, implement, and maintain large-scale AI/ML pipelines, including tuning and evaluating LLMs. You will be building evaluation frameworks and metrics and evaluating Deep Learning and transformer-based models and LLMs. Qualifications - 1+ years of software development experience in building and evaluating ML models and delivering large-scale ML products. - BS, MS or PhD in a relevant field - Proficient in crafting machine learning models, your expertise spans neural networks including transformer models, Large Language Models, decision trees, and other traditional machine learning models, translating conceptual ideas into actual solutions. - Fluent in some of these machine learning frameworks such as SKLearn, XGBoost, PyTorch, or Tensorflow, and can leverage code as a strategic tool to shape innovative solutions - You will be proficient in Python and will be able to transform abstract machine learning concepts into robust, efficient, and scalable solutions Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $160,100.00 to $207,900.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: - 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees - 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco - Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees - Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) - 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next - Additional paid time away may be requested to deal with critical or emergency issues for family members - Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: - .75% of incentive target for each 1% of revenue attainment up to 50% of quota; - 1.5% of incentive target for each 1% of attainment between 50% and 75%; - 1% of incentive target for each 1% of attainment between 75% and 100%; and - Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $160,100.00 - $239,000.00 Non-Metro New York state & Washington state: $146,200.00 - $212,800.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Labcorp is seeking a remote Bioinformatics Scientist to join our team! Work Schedule Monday – Friday, day shift Job Responsibilities - Perform routine QC and any required downstream analyses following established work instructions for production analyses. - Provide statistical analysis and/or pipeline development for new assays being brought online and validated. - Communicate progress, results, concerns, and/or troubleshooting to lab staff, project managers, and/or clients. - Act efficiently in an environment with dynamic timelines and changing priorities. - Develop a deep understanding of the assays run in the Specialty Genomics group. - Contribute to study reports, SOP creation/updates, and software lifecycle (SLC) documentation activities as needed. - Establish and foster excellent working relationships with bioinformatics team members. - Participate in client-facing meetings as needed to describe analysis activities and/or results, respond to client questions, etc. - Perform other duties as assigned. Minimum Qualifications - Master’s degree in Bioinformatics or Biology or 2 or more years professional experience in Bioinformatics - 2 or more years’ Bioinformatics experience working on NGS assays, including but not limited to RNA-Seq (bulk and single cell) and DNA (WGS, WES, targeted panels, cfDNA). - 2 or more years’ experience of scientific programming using Python and/or R. - 2 or more years’ experience in designing, coding, and validating analysis pipelines. - 2 or more years’ experience in statistical analysis methodologies. - 2 or more years’ experience in a *nix-based, command line environment, Bash, or other scripting skills. Preferred Qualifications - 2 or more years’ experience with WDL workflows in a cloud-based environment. - 2 or more years’ experience in CRO. - 2 or more years’ experience understanding requirements for working under various regulatory requirements. Additional Job Standards - Able to function in a fast-paced, high throughput environment. - Demonstrated organizational and communication skills. - Strong interpersonal and teamwork skills are essential. - Ability to prioritize workload to effectively handle several projects at any given time. - Quickly and competently train on and perform new and updated analysis methods. - Understand and perform specific tasks that need to be completed daily. - Identify and offer suggestions for process improvements. - Ability to complete written reports as part of client deliverables. - Attention to detail and ability to work under pressure to generate high quality data analysis. About Labcorp At Labcorp, we are a global leader of innovative and comprehensive laboratory services that help doctors, hospitals, pharmaceutical companies, researchers, and patients make clear and confident decisions. Through our unparalleled diagnostics and drug development laboratory capabilities, our 70,000 employees combine innovative innovation, science and technology to solve some of today’s biggest health challenges, accelerate life-changing healthcare breakthroughs and impact lives around the world. Here, you are empowered to own your career journey and create a personalized development plan with the support of your team. Application Window: April 1, 2026 – April 8, 2026 Pay Range: $85,000 - $100,000 All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. For more detailed information, please click here.  Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

Job Summary At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. Red Hat AI Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM project, and inventors of state-of-the-art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments. As a Senior Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will collaborate with our technical and research teams to develop LLM training and deployment pipelines, implement model compression algorithms, and productize deep learning research. If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning in the open source way, this is the role for you. Join us in shaping the future of AI! What you will do - Contribute to the design, development, and testing of various inference optimization algorithms in the vLLM , and related projects, such as llm-d. - Create and manage inference serving deployment pipelines - Benchmark, profile, and evaluate different parallelizations, quantization and sparsification approaches to determine the best performance for specific hardware and models - Stay up-to-date with the latest advancements in the open source LLM model architecture, LLM Inference parallelizations/optimizations techniques, and quantization research - Stay up-to-date of latest CPU and GPU hardware architecture and features to boost AI inference performance - Give thoughtful and prompt code reviews - Continuous collaboration with internal and external open source comitters and contributors while contributing to vLLM and related projects ​ What you will bring - Strong understanding of machine learning and deep learning fundamentals with experience in one or more of LLM Inference Optimizations, Computer Vision, NLP, and reinforcement learning - Experience with tensor math libraries such as PyTorch and NumPy - Strong programming skills with proven experience implementing Python based machine learning solutions - Ability to develop and implement research ideas and algorithms - Experience with mathematical software, especially linear algebra - Understanding of Linear Algebra, Gradients, Probability, and Graph Theory - BS, or MS, or PhD in computer science or computer engineering or a related field. #LI-MD2 #AI-HIRING About Red Hat Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.