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About the Role The Speculative Decoding team at Together AI builds the draft models and algorithms that let large language models generate faster without changing their outputs. Our speculators run in production on frontier open models such as DeepSeek, Kimi and GLM. Our work sits at the intersection of model training, inference algorithms and serving systems, and we co-design all three to lower the cost and latency of generation. As a research intern, you will dive into open questions in speculative decoding: new drafter architectures and verification schemes, knowledge distillation and training recipes that align draft and target models, and drafters that adapt as traffic shifts. You will train and fine-tune draft models at scale on dedicated GPU clusters, and test your ideas against realistic serving workloads, including long-context and agentic traffic. Projects aim to answer important research questions in speculative decoding, enabling faster generation on frontier models, drafters that keep pace with changing workloads, and robust, reproducible evaluation under real traffic. Past Research Speculative decoding research by Together researchers, interns and academic collaborators includes: Speculative Speculative Decoding (ICLR 2026) When RL Meets Adaptive Speculative Training: A Unified Training-Serving System (ICML 2026) Beat the Long Tail: Distribution-Aware Speculative Decoding for RL Training (MLSys 2026) Responsibilities Research and prototype new efficient speculative decoding algorithms and draft model architectures Train, fine-tune and distill draft models, and design rigorous experiments to validate hypotheses. Implement optimized version for serving engines to show efficacy in real world workloads Communicate the plans, progress, and results of projects to the broader team Share findings through technical write-ups and blog posts, and help bring successful ideas into production Requirements Currently pursuing a Master's or Ph.D. degree in Computer Sci

About the Role The Speculative Decoding team at Together AI builds the draft models and algorithms that let large language models generate faster without changing their outputs. Our speculators run in production on frontier open models such as DeepSeek, Kimi and GLM. Our work sits at the intersection of model training, inference algorithms and serving systems, and we co-design all three to lower the cost and latency of generation. As a research intern, you will dive into open questions in speculative decoding: new drafter architectures and verification schemes, knowledge distillation and training recipes that align draft and target models, and drafters that adapt as traffic shifts. You will train and fine-tune draft models at scale on dedicated GPU clusters, and test your ideas against realistic serving workloads, including long-context and agentic traffic. Projects aim to answer important research questions in speculative decoding, enabling faster generation on frontier models, drafters that keep pace with changing workloads, and robust, reproducible evaluation under real traffic. Past Research Speculative decoding research by Together researchers, interns and academic collaborators includes: Speculative Speculative Decoding (ICLR 2026) When RL Meets Adaptive Speculative Training: A Unified Training-Serving System (ICML 2026) Beat the Long Tail: Distribution-Aware Speculative Decoding for RL Training (MLSys 2026) Responsibilities Research and prototype new efficient speculative decoding algorithms and draft model architectures Train, fine-tune and distill draft models, and design rigorous experiments to validate hypotheses. Implement optimized version for serving engines to show efficacy in real world workloads Communicate the plans, progress, and results of projects to the broader team Share findings through technical write-ups and blog posts, and help bring successful ideas into production Requirements Currently pursuing a Master's or Ph.D. degree in Computer Sci

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ClickUp is on the lookout for talented backend engineers to join the Fields squad at ClickUp! Fields is the heart and soul behind our custom task data - think dynamic schemas, high-volume updates, and the flexibility that lets users tailor ClickUp to their individual workflows. We’re building scalable, high-throughput, low-latency services that handle millions of requests daily. If wrangling distributed systems, fine-tuning performance, and designing robust APIs sounds like your idea of fun, let’s chat. Role: Build features and systems with attention to detail and performance. Own end-to-end development, from conception to production. Work closely with cross-functional stakeholders to deliver a world-class product. Identify and implement improvements to our existing systems. Help establish a fun, fulfilling, world-class engineering culture. Qualifications: Bachelor’s degree in Computer Science or equivalent major. 5+ years of experience engineering performant and high-throughput systems (ideally on Node.js). You write high quality code (ideally in TypeScript) and are uniquely productive. You have a track record of building performant, high-throughput systems. You have experience writing and debugging sql queries at scale. You have experience developing event based systems. You have experience with major cloud services (ideally AWS). You are an empathetic communicator. You are comfortable with ambiguity and have consistently delivered projects with little direction. You are product-minded and have a good intuition on what a great user experience looks like. #LI-REMOTE #LI-MAV Equal Opportunity Employer

Job ID: 111268 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context. Perform exploratory data analysis to gain a deeper understanding of the problem. Construct and fit statistical, machine learning, or optimization models. Write production modeling code; collaborate with Software Engineers to implement algorithms in production. Design and run both simulated and live traffic experiments. Analyze experimental and observational data; communicate findings; facilitate launch decisions. Experience: Education and Experience: Master's degree or foreign equivalent in Business Analytics and Information Management, Data Science, or related field. 2 years of experience in job offered, operations research, or related occupation. Skills: Experience creating metrics and analytical tools to track and monitor growth. Experience with statistics, machine learning, causal inference, data scientific forecasting, and authoring data pipelines. Experience with building and evaluating optimization and inference models, and predictive modeling. Experience with writing production quality computer code and using MATLAB, R, and Python. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is

At NVIDIA, we’re building GeForce G-Assist — an on-device AI assistant that combines Small Language Models (SLMs), retrieval systems, and hybrid cloud capabilities to deliver responsive, context-aware assistance inside the GeForce ecosystem. We work closely across engineering and product teams to ensure G-Assist performs reliably in real-world scenarios. What you'll be doing: Together, we focus on how models behave in production, not just on benchmarks. Evaluate and improve Small Language Models used in GeForce G-Assist, with an emphasis on accuracy, robustness, and conversational reliability. Identify and mitigate conversation and context contamination, including state drift, prompt leakage, and retrieval cross-talk. Work with SLM and VLM architectures to support text and multimodal interactions. Collaborate on hybrid architectures that combine local SLMs with cloud-based models. We value engineers who enjoy thinking across the full system—from model behavior to runtime performance. Optimize local inference using llama.cpp, including quantization, memory usage, and performance tuning. Read, write, and optimize C/C++ code in performance-critical paths. Design and integrate retrieval-augmented generation (RAG) systems that ground responses in system and user context. Support agentic AI workflows, enabling planning, tool use, and multi-step execution. What we need to see: 5+ years of validated experience in system software or a related field, with an M.S. or higher degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience). We’re looking for teammates who enjoy solving real problems, learning as they go, and collaborating in a tight-knit environment. Strong ability to read and write C/C++ code in systems-level or performance-sensitive environments, along with proficiency in Python. Hands-on experience w

Are you passionate about the future of autonomous vehicles? Join our DRIVE Road Structure, Online Mapping, and Context Fusion team to help build the next generation of self-driving technology! In this role, you’ll work alongside experienced engineers to develop advanced 3D world models that combine map and perception data, enabling vehicles to safely navigate complex roads and intersections in the U.S. and China. This is a fantastic opportunity to grow your skills and contribute to groundbreaking projects at the heart of our vision for autonomous driving. What you'll be doing: Contribute to Core Autonomous Driving Systems: Help develop and refine systems that integrate state-of-the-art perception and mapping technologies for use in diverse driving environments. Build Real-Time 3D World Models: Assist in creating dynamic 3D models by combining data from sensors and external sources to support planning and navigation. Support Mapless Driving Capabilities: Work on enriched bird’s-eye-view (BEV) models to enable autonomous vehicles to navigate complex urban settings without relying solely on high-definition maps. Enhance Scenario Understanding: Help build static obstacle and occupancy grids, and generate occlusion masks to improve the vehicle’s understanding of its environment. Collaborate Across Teams: Work closely with perception and planning teams, learning from experts and contributing to shared goals. Maintain High Standards: Write high-quality code and follow automotive industry best practices for safety and reliability. What we need to see: PhD with 1+ year, MS with 4+ years, or BS (or equivalent experience) with 6+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field. Strong relevant software development experience, ideally with some exposure to robotics, autonomous vehicles, or relat

GAQ427R224 We're hiring an AI Automation Engineer to build the next generation of IT automations to improve the employee experience at Databricks. You'll be building production-grade AI agents and automation services that understand employee requests, retrieve enterprise context, reason across systems, invoke tools and APIs, and take action safely. The goal isn't to automate existing workflows the same way we've done it for the past decade. It's to reimagine how employees interact with IT through intelligent, contextual, and increasingly agentic experiences and to do it on Databricks. What you will do Build AI agents and automations: Design, deploy, and run AI agents that support all of our employees. The agents interpret natural-language requests, gather context, select tools, execute actions, and communicate outcomes. Maintain MCP servers across our AI tools portfolio. Build agentic workflows that decompose goals into steps, handle failures, pause for human approval as needed, and resume their workflows. Ground agents in trusted internal knowledge (policies, runbooks, system documentation, SOPs, etc). Turn high-volume support CUJs into self-service experiences: Identify repetitive, high-friction IT interactions and convert them into reliable AI automation experiences. Instrument AI automations with logs, metrics, and feedback loops. Design and implement AI automations with identity governance, tools RBAC, human-in-the-loop approvals where applicable, audit trails, and failure handling. Create shared automation infrastructure (credential vaults, event ingestion, scheduling, approval workflows, cache/state stores) that other teams can build on. Work with IT Support, Employee Experience, Security, IAM, Infrastructure, and Engineering to identify automation opportunities and take solutions from prototype to production. Write and maintain high-quality technical/engineering documentation that clearly communicates system designs, operational procedures, and architectural

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview We’re looking for a Senior Frontend Engineer to help build and improve core product experiences at ClickUp. You’ll work closely with product, design, backend, and integrations teams to deliver high-impact features in a fast-moving environment. This role is ideal for someone who can move quickly, write high-quality code, and balance speed with long-term maintainability. What You’ll Do Build product features in Angular and React in partnership with designers, product managers, and engineers Architect efficient, reusable frontend code that powers the ClickUp user experience Collaborate closely with backend and integrations teams to deliver end-to-end features Work with QA to ensure strong test coverage and high product quality across edge cases Identify and resolve performance, scalability, and usability issues Build and maintain unit and integration tests Fix bugs quickly and deliver durable solutions to complex product challenges Follow established frontend architecture and state management patterns across the app Manage project priorities, deadlines, and deliverables in a fast-paced environment Qualifications 5+ years of experience with JavaScript and modern frontend frameworks, with Angular or React required Strong experience with TypeScript, RxJS, and NgRx or similar Redux-style state management Solid understanding of reusable component architecture and frontend performance Strong HTML/CSS fundamentals, including layout, accessibility, cross-browser compatibility, and maintainable styling practices Proven ability to move quickly, take ownership, and execute with urgency Strong communica

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context. Perform exploratory data analysis to gain a deeper understanding of the problem. Construct and fit statistical, machine learning, or optimization models. Write production modeling code. Collaborate with Software Engineers to implement algorithms in production. Design and run both simulated and live traffic experiments. Analyze experimental and observational data. Communicate findings. Facilitate launch decisions. Experience: Master’s degree or foreign equivalent in Mathematics, Statistics, Economics, or related field. 2 years of experience in job offered, Operations Research, or related occupation. Experience with solving unstructured and non-standard mathematical problems. Experience with end-to-end data including querying, aggregation, analysis, and visualization. Experience with Python and other programming languages such as R and MATLAB. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation

We are expanding our agentic AI capability and are looking for an AI Engineer to join the team. You will work alongside senior engineers to build and maintain AI systems — contributing to agentic pipelines, retrieval infrastructure, and the integrations that tie these systems together. This is a hands-on implementation role with real ownership of components. You will grow your skills in a fast-moving AI practice, working on production systems that directly affect client outcomes. What This Involves: Build and maintain agentic pipelines and workflows under the guidance of senior engineers: tool use, orchestration, and multi-step reasoning. Implement and tune RAG pipelines — including embedding, chunking strategies, vector retrieval, and retrieval evaluation. Contribute to memory and context layer components: integrating vector databases, supporting knowledge graph pipelines, and helping maintain state management across agentic systems. Write clean, well-tested Python code and participate in code reviews. Debug and improve existing AI systems based on evaluation results and production feedback. Collaborate with data engineers and domain experts to integrate AI components with upstream data sources and downstream applications. Document implementations clearly and contribute to shared internal tooling. Requirements: 2–4 years of software or ML engineering experience, with at least 1 year working with LLMs or AI systems in a professional setting. Working knowledge of LLM APIs (OpenAI, Anthropic, or similar) and at least one agentic or RAG framework (LangChain, LlamaIndex, or equivalent). Solid Python skills and comfort with software engineering basics: version control, testing, REST APIs. Familiarity with vector databases or embedding-based search. Curiosity about agentic AI — you follow developments in the space and are eager to apply new techniques. Excellent communication and collaboration skills — comfortable working across cross-functional and client-facing te

MongoDB is seeking a Software Engineer 3 to join the Documentation Platform Engineering Team. The Documentation Platform delivers 60M page views a year and is critical to our users’ understanding of MongoDB products.It is also increasingly the context engine that helps AI tools understand, surface, and recommend MongoDB correctly. You will contribute to the evolution of our documentation platform by building and improving internal infrastructure, integrations, and applications that support our documentation and learning experience. This role can be based out of one of our offices in Canada or the USA, or remotely in Canada or the USA. Our ideal candidate Hands-on experience and understanding of Git, TypeScript, React, Next.js, CI/CD, MDX and other markup languages Experience with MongoDB (or a strong track record of working with other databases) Has worked on complex, in-production web applications Deep understanding of TypeScript or JavaScript, preferably TypeScript Can write, discuss, and review code in a collaborative way Understands how to make resilient, scalable, and maintainable software Has 2+ years of professional experience building and maintaining production software systems At MongoDB, you will Contribute to the development and enhancement of the MongoDB Documentation Platform Explore ways to improve documentation accessibility, discoverability, and user engagement Develop features that enhance the user experience for documentation consumers and contributors Contribute to and occasionally lead small-to-medium scoped features and platform improvements, collaborating with partner teams as needed Analyze user

MongoDB is seeking a Software Engineer 3 to join the Documentation Platform Engineering Team. The Documentation Platform delivers 60M page views a year and is critical to our users’ understanding of MongoDB products.It is also increasingly the context engine that helps AI tools understand, surface, and recommend MongoDB correctly. You will contribute to the evolution of our documentation platform by building and improving internal infrastructure, integrations, and applications that support our documentation and learning experience. This role can be based out of one of our offices in Canada or the USA, or remotely in Canada or the USA. Our ideal candidate Hands-on experience and understanding of Git, TypeScript, React, Next.js, CI/CD, MDX and other markup languages Experience with MongoDB (or a strong track record of working with other databases) Has worked on complex, in-production web applications Deep understanding of TypeScript or JavaScript, preferably TypeScript Can write, discuss, and review code in a collaborative way Understands how to make resilient, scalable, and maintainable software Has 2+ years of professional experience building and maintaining production software systems At MongoDB, you will Contribute to the development and enhancement of the MongoDB Documentation Platform Explore ways to improve documentation accessibility, discoverability, and user engagement Develop features that enhance the user experience for documentation consumers and contributors Contribute to and occasionally lead small-to-medium scoped features and platform improvements, collaborating with partner teams as needed Analyze user

As the Associate/Laboratory Director, Oncology and one of our Laboratory Directors, you have clinical oversight of Natera’s laboratory testing. You ensure that testing is properly performed, and applicable regulatory standards are met. You are responsible for ensuring that the laboratory implements testing while consistently providing accurate and reliable patient test results. PRIMARY RESPONSIBILITIES: Review, approve, and sign-out reports for a variety of clinical molecular/cytogenetic and/or oncologic results, including the Signatera MRD assay and other Next Generation Sequencing based assays. Oversee the review of genetic and CNV variant data: interpret NGS results in the context of medical literature, online variant databases and other references along with relevant patient demographic data. Provide clinical and technical support for genetic counselors and other laboratory personnel. Set standards for laboratory testing and acceptable levels of analytic performance and ensure these are maintained. Analyze lab data, contribute to or write publications for high-quality scientific journals. May serve as Technical Supervisor. The Technical Supervisor is responsible for ensuring: appropriate test method selection; adequate method verification to determine the accuracy and precision of the test; enrollment of the laboratory in a CMS-approved proficiency testing (PT) program for the test performed; PT samples are tested in accordance with the CLIA requirements; PT results are returned within the time frames established by the PT program; PT reports are reviewed by the appropriate staff; corrective action plans are followed when PT results are found to be unacceptable or unsatisfactory; quality assessment and quality control programs are established and maintained; acceptable analytical test performance is established and maintained for each test system; remedial actions are taken and documented when significant deviations from the laboratory’s established

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As a Frontend Software Engineer on the Operator Core Tooling pod, you'll play a vital role in building the robust services that power our critical operations tooling platform. Your work will directly empower our micromobility operations teams by providing them with intuitive and efficient tools, significantly improving their daily workflows as they manage our fleet. You'll collaborate closely with business leaders, front-end developers, and data scientists across Lyft to achieve this impact. Responsibilities: Help define the roadmap and architecture based on technology and business needs Write well-crafted, well-tested, readable, maintainable code Have a good grasp and ability to explain the various tradeoffs made in decisions Participate in code reviews to ensure code quality and distribute knowledge Lead projects from idea to positive execution Incorporate considerations for business context and failure modes in your work Proactively participate in resolving ongoing incidents Unblock, support, effectively communicate and obtain buy-in across teams to achieve results Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices See the direct impact of your work on the efficiency of our operating teams Experience: 3+ years of software engineering industry Advanced knowledge of JavaScript Experience working with modern JavaScript frameworks, like React Experience working with NodeJS and Express applications Experience working with design systems (e.g. Bootstrap, Salesforce Lightning, GitHub Primer) Good understanding of web performance and how browsers and DOM work Experience with unit, integration, and end-to-end testing Experience designing, building and improving a set of team owned components Culture of investigating and solvin

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview We’re looking for a Senior Frontend Engineer to help build and improve core product experiences at ClickUp. You’ll work closely with product, design, backend, and integrations teams to deliver high-impact features in a fast-moving environment. This role is ideal for someone who can move quickly, write high-quality code, and balance speed with long-term maintainability. What You’ll Do Build product features in Angular 2+ and React in partnership with designers, product managers, and engineers Architect efficient, reusable frontend code that powers the ClickUp user experience Collaborate closely with backend and integrations teams to deliver end-to-end features Work with QA to ensure strong test coverage and high product quality across edge cases Identify and resolve performance, scalability, and usability issues Build and maintain unit and integration tests Fix bugs quickly and deliver durable solutions to complex product challenges Follow established frontend architecture and state management patterns across the app Manage project priorities, deadlines, and deliverables in a fast-paced environment Qualifications 5+ years of experience with JavaScript and modern frontend frameworks, with Angular 2+ or React required Strong experience with TypeScript, RxJS, and NgRx or similar Redux-style state management Solid understanding of reusable component architecture and frontend performance Strong HTML/CSS fundamentals, including layout, accessibility, cross-browser compatibility, and maintainable styling practices Proven ability to move quickly, take ownership, and execute with urgency Strong com