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Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? To have the opportunity to collaborate with Cohere researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production. We have openings in teams covering base model training, retrieval augmented generation, data and evaluation, safety, and finetuning, to name a few; and we are open to receiving intern applications in any research area relating to LLMs to broaden your research connections while obtaining deep experience in a growing AI startup. Please Note: To be eligible for a Research Internship, you must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline. You need to be available for a full-time internship that lasts for 4-6 months. As a Cohere Research Intern, you will: Conduct cutting-edge machine learning research, building and training large language models. Focus on research projects aimed at expanding the frontier of knowledge in language modelling and associate areas such as evaluation, multimodal models, optimisation etc. Disseminate your research results through the production of publications, datasets, and code. Contrib

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role As a Test Engineer for the Alarms team, you will be responsible for ensuring the absolute reliability of our mission-critical security hardware and software. You'll be working across the entire stack, building the Hardware-in-the-Loop (HIL) test infrastructure, writing automation, and catching problems before they reach production. What You'll Do Design and implement automated test frameworks for embedded alarm and safety products. Build hardware-in-the-loop (HIL) testing systems that validate real devices under realistic operating conditions. Develop tests that verify both individual components (sensors, controllers, communication modules) and end-to-end system behavior . Write software to coordinate devices, test rigs, and cloud APIs for automated system validation. Simulate real-world scenarios such as sensor faults, communicatio

Principal Research Scientist – Scaling P-1227 About Databricks AI At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development, by building and running the world’s best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. About the Scaling Research Team The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low‑level implementation details with engineering partners. Role Summary As a Principal Research Scientist – Scaling, you will lead a team of world‑class researchers and engineers to advance the state of the art in large‑scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting‑edge methods into production. The Impact You Will Have Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance. Define the scaling research roadmap in alignment with Databricks’ strategic obj

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Replit is seeking a Business Development Representative (BDR) to be an early member of our sales team. This role will handle both inbound leads and outbound prospecting to build a robust pipeline for our Account Executives. Candidates with some technical experience (i.e., having basic coding knowledge or prior experience at developer tool companies) are ideal. This position plays a crucial role in our go-to-market strategy, identifying and qualifying potential customers across all segments from SMB to Enterprise. You'll be the first point of contact for many prospects, setting the tone for their Replit experience. We believe this role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for technology and AI. You'll leverage your skills to effectively communicate Replit's value proposition: a world where anyone can create software using natural language. In this role you will: Generate and qualify new sales opportunities through both inbound lead follow-up and outbound prospecting activities Research target accounts and create personalized outreach strategies to engage potential customers Evangelize a future where anyone can create software in natural language, ushering in a change in the nature of the firm on par with the PC era Articulate Replit's value proposition and align it with customers' business challenges Schedule and coordinate meetings between qualified prospects and Account Executives Maintain accurate prospect data and activity logging in Replit's CRM (Hubspot) Collaborate with marketing to provide feedback on lead quality and campaign effectiveness Continuously refine outreach approaches based on performance data Meet or exceed monthly and quarterly qualifi

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. As a Commercial Solutions Architect, you'll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude's reach across the broader Commercial book of business. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success Support customers building with the Claude API, Claude Code, and Claude for Enterprise Ship working code. Build prototypes and proo

Zoox is building the world's most advanced self-driving hardware and software solution. The efficiency demands of such a system require an expert fine tuning of both the compute hardware architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput at the most optimal power levels. The Software Performance team keeps the main onboard computer healthy and performant to ensure that our on-bot autonomy software meets its latency targets while also accommodating its safety goals. We are responsible for the efficient allocation of onboard compute resources (CPU/GPU/Memory/accelerators) ensuring contention is minimized and the autonomy stack executes harmoniously. As the Onboard Execution team leader within the Performance team, you will lead a highly specialized team of software performance engineers in aggressively optimizing on-bot software runtime. This is a high impact role that sits at the intersection of ML Platform, Core, and Autonomy Software - ensuring that efficient compute utilization is a central tenet emphasized across the organization. In this role, you will: Manage a team of 8-to-10 engineers focused on optimizing the software performance of the on-bot autonomy software stack. Partner with Autonomy, ML Platform, Middleware, Sensors, and Hardware Architecture teams to meet strict system response (latency) and compute utilization targets. Achieve alignment between cross-functional leaders across the Software organization on compute resource allocations and budgets. Hire, grow, and develop talent in the realm of performance optimization. Build self-service force-multiplier frameworks & workflows that empower developers to deliver efficient & performant software. Qualifications BS in computer science, computer engineering, or related field Proficiency with C++ & concurrent (parallel) execution systems Deep knowledge and unde

About Paytm: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Role Paytm Ads is strengthening its position as a leading outcome-driven advertising platform, powered by high-intent first-party data, machine learning–led optimization, and robust measurement and attribution capabilities. As Director of Product, you will lead the evolution of our existing ads platform into a performance-first, data-powered ecosystem, unlocking stronger advertiser outcomes across ROAS, CAC, and conversions. This role sits at the intersection of ads, data, and commerce, and requires a strong blend of strategic thinking, product depth, and execution excellence. What You’ll Drive 1. Outcome-Driven Ads Platform Define and scale Paytm’s performance advertising stack, focused on delivering measurable outcomes (ROAS, CAC, conversions)Build solutions across: Audience targeting & retargeting Campaign optimization Conversion tracking & attribution. 2. First-Party Data & Audience Systems Leverage Paytm’s rich transactional and behavioral data to build high-quality audience segments Design and scale privacy-safe data activation frameworks, including clean room (DCR) capabilities Enable advertisers to activate their own data in a secure, compliant manner. 3. ML-Led Decisioning & Optimization Lead the development of machine learning–driven systems for: Bidding & budget allocation Ad ranking & personalization Audience selection and lookalike modeling Drive continuous improvement in model performance and business outcomes. 4. Data Infrastructure & Platform Thinking Build and evolve data platforms and decisioning engines that power real-time ad delivery and optimization Ensure systems are scalabl

About Hexnode Hexnode is a global leader in Unified Endpoint Management (UEM), trusted in over 100 countries and managing millions of devices worldwide. With continuous innovation across Apple, Windows, Android, macOS, Linux, and tvOS ecosystems, Hexnode is redefining enterprise mobility and cybersecurity. As we expand our Extended Detection and Response (XDR) capabilities, we are building a next-generation data platform designed for massive scale, real-time intelligence, and high-performance security analytics. The Role We are looking for a Senior Data Platform Engineer to architect, scale, and optimize the core data infrastructure powering our XDR product. In this role, you will take ownership of the strategic evolution of our data layer — ensuring seamless ingestion, storage, indexing, search, and retrieval of high-volume security telemetry and device data. You will play a key role in transforming our platform into a highly scalable, cost-efficient, secure, and analytics-ready ecosystem that supports real-time detection, investigation, and advanced data science workflows. This is a high-impact individual contributor role focused on architecture, platform modernization, and long-term scalability. Key Responsibilities Architect and evolve the data layer to support high-throughput ingestion, real-time processing, and low-latency search across massive datasets. Evaluate existing search and storage platforms and drive modernization initiatives toward more scalable, performant, and cost-effective solutions. Design and implement optimized indexing, partitioning, and data structuring strategies for efficient querying and retrieval. Build and manage scalable data lake architectures that support advanced analytics, threat intelligence, and data science workflows. Define strategies for lifecycle management, retention, tiered storage, and cost optimization across the data platform. Ensure high availability, fault tolerance, and disaster recovery across distributed systems. I

About Paytm Group: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Skills that will help you succeed in this role - 3–6 years of core Product Management experience, specifically within high-growth consumer or partner-facing product charters. - Proven track record in scaling products and owning KPI outcomes, preferably at new-age internet leaders (e.g., Zomato, Swiggy, Flipkart, Amazon, MMT or equivalent). - Strong preference for candidates with platform-thinking capabilities - those who can look beyond the immediate sprint to architect 1-year scalable roadmaps across multiple business verticals. - Must possess a 'data-first' mindset, with the ability to move beyond basic reporting to derive actionable insights - Hands-on experience with product analytics suites (e.g., Amplitude, Mixpanel, Google Analytics or Clevertap) and prevalent visualization tools - Candidates with hands-on experience of building Data Science, Machine Learning, AI native products to be preferred. - Hands-on experience in using AI tools or Agentic AI for wireframing, workflows, prototyping, documentation, data analysis & generating insights. Why join us A collaborative output driven program that brings cohesiveness across businesses through technology Improve the average revenue per use by increasing the cross-sell opportunities solid 360 feedback from your peer teams on your support of their goals respect, that is earned, not demanded from your peers and manager. Compensation: If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving cons

About Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others. You can read more at the following links: Our Vision for AI in Pharma Our Current Drug Portfolio Our Technology & Platform At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently. About the Position As a Principal Data Scientist at Formation Bio, you will be at the forefront of revolutionizing drug development through AI and advanced analytics. In this role, you'll lead crucial initiatives that directly impact our drug development portfolio, from developing sophisticated models for patient selection to creating AI-powered solutions for clinical trial optimization. You'll work at the intersection of computational biology, machine learning, and drug development, collaborating with cross-functional teams to translate complex biological data into

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. For more than 43 years, Micron Technology, Inc. has advanced the world’s most innovative memory and semiconductor technologies. As an HBM Memory Design Engineer within the HBM Architecture Team, you will design, simulate, and optimize digital and analog DRAM circuits for next‑generation high‑bandwidth memory products. You will evaluate block‑level and full‑chip functionality, solve complex challenges in building, and collaborate with a distributed team to deliver highly reliable, industry‑leading HBM solutions. This role provides the opportunity to contribute to groundbreaking DRAM design, TSV‑based 3D integration, and high‑speed mixed‑signal architectures supporting Machine Learning and AI applications. Responsibilities Design and analyze digital, analog, and mixed‑signal circuits for HBM DRAM products. Perform schematic entry, simulation, and optimization of DRAM blocks including data path, ECC, command control, and clocking circuits. Evaluate full‑chip and block‑level functionality and deliver solutions ensuring functional accuracy. Conduct pathfinding and feasibility studies for next‑generation HBM architectures. Optimize circuit timing, area, power, and complexity across high‑speed DRAM designs. Support design floor planning, layout reviews, and cross‑domain integration of memory, logic, and analog circuits. Collaborate with global engineering teams to drive innovation and support vertical integration across design

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Description: As Frontend Central Product Integration Engineering and transformative (CPIE) team at Micron Technology, Inc., you will be leading new initiatives to deliver pioneering process capability, best-in-class bits per wafer (Yield) with the highest quality and fastest speed through innovation and collaboration with multi-functional teams. Your primary focuses include but not limited to: • Initiate new data solutions and methodologies to: 1) identify process, test, and design improvement opportunities, specialized in UE_ROW & all quality index, Front End-PTS integration, and high-value-bits (PG2+) yield ; 2) modeling, monitoring and aiming for tool performance benchmarking; 3) Process equipment prognostics and process integration optimization; 4) Identity test optimization opportunities for high product grade yield improvement. • Collaborate with site Process & Equipment Engineering, Manufacturing(MFG), Product Integration Engineering (PIE) and Data Science (DS) team to establish feasibility of new initiatives, demonstrate business values, and prototype solution mock-ups; • Partner with Globa

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Product at Baseten is a nascent function. Our company today has a strong engineering culture, is heavily customer-obsessed, and moves fast. We're building the product function now, and you'd be one of the people who defines it. You'll work directly with our founders and with some of the best systems and AI engineers, and you'll set the standard for what product looks like here. PMs at Baseten don't sit above engineers. You earn ownership by being technical, finding the truth in front of customers, building great cross-functional relationships, and shipping great product experiences. Once a model is deployed, keeping it fast, reliable, and economical at scale is where production inference is won or lost. You'll own the surface that makes that happen: how deployments autoscale, how traffic is routed, how the system fails over, and how workloads scale across clusters and regions. You'll own these as products end to end, both how they work under the hood and how customers configure and observe them, and you'll set the roadmap that infrastructure and product teams alike can build toward. This space is still evolving. Think cloud infrastructure in the mid-2000s. Your job is to make it 10x easier to reliably scale and serve AI models in production, and to set the market standard. This role is a great fit if you love getting deep in the technical details, and if you'd rather do whatever it takes to ship for customers th

About Bluevine Bluevine is the largest small business banking platform in the U.S., redefining how entrepreneurs manage their money. We create modern financial solutions, from checking and lending to payments and beyond, designed to help small business owners grow, thrive, and take control of their financial future. Our best-in-class technology, advanced security, and deep understanding of the small business community give our customers the confidence to focus on what they do best. Since 2013, we’ve supported more than 750,000 small businesses nationwide. Backed by leading investors like Lightspeed Venture Partners, Menlo Ventures, 83North, and Citi Ventures, our 500+ person global team shares one mission: to give small businesses the financial tools they need to succeed. We’re innovators driven by big ideas, collaboration, and real impact. Here, you’ll have the freedom to take ownership, grow your career, and make a difference for small business owners across America. Ready to shape what’s next? This is a hybrid role . At Bluevine, we pride ourselves on our collaborative culture, which we believe is best maintained through in-person interactions and a vibrant office environment. All of our offices have reopened in accordance with local guidelines, and are following a hybrid model. In-office days will be determined by location and discipline. Key Responsibilities: Generative AI Research: Explore and evaluate Large Language Models (LLMs) and emerging generative AI techniques to identify impactful applications in data science. Model Fine-Tuning & Adaptation: Design and execute experiments to fine-tune or customize foundational models using domain-specific and internal datasets. Applied Generative AI Solutions: Leverage generative AI to enhance traditional machine learning use cases such as risk modeling, fraud detection, and customer analytics. Prompt Engineering & Evaluation: Develop effective prompting strategies and build robust evaluation and benchma

About the Team The Codex Core Agent team builds the kernel of Codex. We own making the agent better, accelerating research, and making those improvements real in production for our users. That means working across the systems that make Codex actually function as an agent in the real world: the production performance envelope around tokens, latency, reliability, cost, and capacity; the core execution loop and interfaces that turn models into useful behavior; the shared infrastructure that enables other teams to build on Codex; and the feedback loops that turn real-world usage into better models and better agent behavior over time. About the Role We’re looking for applied AI engineers to help bring Codex agents from impressive demos to dependable tools. This role is about improving agent performance on real software engineering tasks and closing the gap between research capability and real-world usefulness. You’ll work closely with research, infrastructure, and product to ensure agents are not just powerful, but useful, steerable, and reliable in practice. The job is not only to improve model behavior in isolation, but to turn those improvements into measurable gains in solve rate, usefulness, and economic value for users. What You’ll Do Design and iterate on agent behaviors across real-world coding tasks and long-horizon workflows. Work closely with research to develop and run evals to measure agent performance, regressions, failure modes, and edge cases. Improve performance through prompting, tool-use strategies, context construction, and model-facing experimentation. Analyze failures in production and systematically improve robustness and reliability. Build feedback loops and data systems that get better real-task data into evaluation and research. Work with product teams to shape user-facing agent experiences and the interfaces the agent depends on. Help define what “good” looks like for agents completing complex tasks end-to-end. You Might Be a Good Fit If You Ha