Lab Technician Jobs

... Facility: DR. REDDY'S LAB - CTO UNIT 2 Qualification: ITI Job Code: IJP558279 | Source: Sodexo India

... Facility: MYLAN LAB. LTD - API & FDF-HYD Qualification: Diploma Job Code: IJP561808 | Source: Sodexo India

... Facility: DR. REDDY'S LAB - CTO 5 Qualification: Not Specified Job Code: IJP557370 | Source: Sodexo India

... Facility: DR REDDY'S LAB.-IPDO-HYD Qualification: Diploma Job Code: IJP557099 | Source: Sodexo India

We are seeking an experienced IT/Lab Manager to lead the planning, deployment, and operations of our physical lab environment and IT systems. This role will focus on building and maintaining scalable, reliable, and secure environments to support engineering teams involved in research, quality assurance, validation, and related activities. It will also support internal collaborators. You will have an outstanding opportunity to drive innovation in a multidimensional, technology-focused company that is crafting the future of data-center and lab technologies. If you bring perfection and creative thinking while solving issues as they arise, and enjoy working with distributed teams – your place is with us! What You’ll Be Doing: Own day-to-day operations, planning, and roadmap for the engineering lab and IT infrastructure (servers, storage, networking, and related services). Lead and mentor an IT/Lab team, driving guidelines, standards, and a culture of ownership, partnership, and continuous improvement. Collaborate closely with R&D, QE, Verification, and other engineering teams to design, provision, and maintain environments that meet their performance, reliability, and security needs. Lead all aspects of running data center and lab operations, including rack layout, cabling, power and cooling, hardware lifecycle, and resource availability. Lead procurement and vendor management for hardware, software, and services, including evaluation, negotiation, and ongoing relationship management. Implement and maintain automation for system provisioning, configuration, and operations using tools such as shell/Perl/Ansible. Design and maintain monitoring, logging, and alerting for servers, network, and storage systems to ensure high availability and rapid incident response. Investigate and resolve sophisticated infrastructure issues across OS, networking, storage, virtualization, and appli

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the role Reporting to the Senior Director of Finance, the DaaS Finance Manager is a critical member of the Finance org and a dedicated finance partner to the DaaS business as we scale. You will drive the financial insights that lead to better decisions: what we charge, what it costs to deliver, how much we need to deliver, and how it all rolls into revenue and ARR. The job is not just reporting numbers, but telling leadership what they mean and what to do about them. You will partner closely with the operating teams (Sales, Delivery Ops and RevOps) and bring finance rigor to how we work: clear assumptions, consistent definitions, and models people trust. Success is measured by outcomes, not outputs: deals priced to target margin, staffing plans that match demand, and a forecast leadership has confidence in. Key responsibilities The work falls into three pillars, with the mix shifting through the quarter. 1. Revenue model and forecast (with RevOps) Maintain the DaaS revenue model: bookings, acceptance-based revenue and ARR by deal, with scenario cases for planning. Partner with RevOps on the weekly revenue and ARR forecast, and run the weekly forecast deck and summary for leadership. Reconcile the field's call (commit, forecast, best case) with a deal-by-deal finance view; quantify coverage, swing deals and risks. Track delivery pacing and acceptance against plan and identify execution risks. Build bridges and variance analysis (forecast vs actual,

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! The Role The Corporate FP&A Manager will own headcount and operating expense planning across Snorkel and serve as the finance partner to department leaders. You will turn hiring and spending plans into reliable forecasts, help teams make investment decisions and build better cost visibility. You will also manage Ramp and procurement workflows and implement planning tools as the business grows. Key Responsibilities Lead annual department budgets and rolling forecasts for headcount and non-headcount expenses, aligning spending with company growth and profitability targets. Own the headcount and personnel cost model with People and Recruiting, reflecting hiring plans, attrition, compensation and benefits. Partner with department leaders on hiring and investment decisions, identifying cost savings and evaluating tradeoffs in growth, capacity and profitability. Partner with Accounting on month-end close, including expense accruals, and lead headcount and OpEx variance analysis against budget and forecast. Own SaaS and vendor spend tracking, the purchase order system and procurement approvals, working with Legal, IT and Accounting on purchases and renewals. Own and manage Ramp, including spend programs, company cards, approval workflows and expense policies, in partnership with Accounting. Implement and administer planning tools such as Pigment or Anaplan and improve data integrations, reporting and planning processes. Partner with the Senior FP&A Man

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role As an Offensive Security Engineer within HP IQ’s Product Security team, you will partner closely with engineering teams to identify, validate, and mitigate security risks across the product lifecycle. You’ll influence design decisions, embed security into development workflows, and continuously assess attack surfaces to guide and enhance secure development. What You Might Do Lead penetration tests and security assessments for product and feature releases. Conduct continuous security engagements, proactively identifying vulnerabilities and driving remediation to closure. Advise engineering and product teams on remediation strategy, validating fixes and tracking measurable improvements to security posture over time.​​​​​​​​​​​​​​​​ Assess attack surfaces across internet-facing services, APIs, and device interfaces (Wi-Fi, BLE, USB). Perform threat modeling and security architecture reviews that directly shape product decisions. Define and lead end-to-end risk reduction initiatives with internal and external stakeholders, aligning offensive findings to strategic security investments.​​​​

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! Research Fellow About the Role As a Research Fellow at Snorkel, you’ll build open benchmarks and evaluation environments that help shape how AI progress is measured. This fellowship is for PhD students and postdocs who want to turn important questions in their fields into new ways to evaluate AI capabilities. You’ll own the project from the initial research question through public release, setting its direction and leading its development. A Snorkel researcher will serve as your co-advisor, and you’ll have access to Snorkel’s broader resources, including paid time from credentialed domain experts and compute to run experiments and evaluate frontier models. You’ll retain your academic affiliation while spending at least one day a week with Snorkel’s research team, including in person in our San Francisco or New York offices where applicable. What you’ll do Scope and lead a new benchmark, dataset, or environment in a domain where current evaluations fall short Define the task specification, rubrics, and reference answers with domain experts from Snorkel's network, and run the expert review process Release the research artifact publicly, with you as lead author. Join weekly research meetings to share progress, receive feedback, and contribute to other researchers’ projects What you'll get A Snorkel research co-advisor matched to your project Domain Experts, compute, and engineering support for your project An open-source academic artifact released as

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Team Snorkel's Marketing team shapes how the AI industry understands frontier data development. We're a team spanning brand, content, communications, product marketing, growth, community, and events, and we work directly with our founders and research team to turn original research into market-defining stories. Brand sits at the center of that work: it's how a data research lab earns attention from frontier labs, Fortune 500 enterprises, top researchers, and the domain experts who contribute to our work. About the Role We're hiring a Principal Brand Designer to own the evolution of Snorkel's brand identity. Snorkel has changed faster than its brand has. You'll close that gap: defining where the visual identity goes next, building the system that carries it, and making sure every surface, from the website to a NeurIPS booth to a benchmark leaderboard, looks like it came from the most rigorous lab in AI. This is a senior individual-contributor role with real leverage and autonomy. You'll be hands-on in the work, and you'll also manage our design agency and a bench of freelance contractors, setting direction, reviewing work, and holding a high bar across everything they ship. This role reports to the CMO. Responsibilities Own the brand identity. Lead the next evolution of Snorkel's visual identity, including logo system, typography, color, illustration, iconography, data visualization, motion, and photography direction. Build and govern the brand

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role We're hiring a Director of Data Partnerships to lead a new function at Snorkel. You'll own the supply side of our data partnerships end-to-end: setting the strategy for how we source and procure private data, building the partner / supplier pipeline, structuring agreements, and working with the business to bring it all to life. It is an entrepreneurial, external-facing role that will drive top-of-funnel and convert opportunities into real value. The market for training data partnerships is nascent and rapidly changing - business judgment is key to success in this role. Finally, cross-functional collaboration and a sense of overall ownership are key to ensuring we get value from the partnerships we strike. This role will require hands-on, zero to one work. You'll be sourcing, qualifying, and negotiating directly. You'll own the funnel, form a sound but swift view on whether an opportunity is worth pursuing and know which terms to offer and how to negotiate them to close. You'll carry those relationships forward after signature rather than handing them off. As the function proves out, you'll build a small but mighty team behind you and shift toward setting direction, standards, and performance expectations. This is a high-impact role for someone with sharp commercial judgment, meaningful experience in licensing and IP, the creativity and range to operate in a market whose economics and value chain are still being defined - and, critically,

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role We are hiring a Director of Expert Supply Growth to build and lead the engine that brings high-quality experts into Snorkel’s AI Expert Network. This role is hybrid ( 3 days/week in office) in San Francisco, CA or New York, NY. This role owns supply acquisition end to end: translating demand for specific skills and domains into a channel strategy, then ensuring those channels produce qualified experts who activate, complete accepted work, and remain available when the business needs them. You will lead a portfolio that includes scaled acquisition, referrals and community, partnerships with industry organizations and higher-education institutions, and BPO and staffing partners. You will decide which levers to use by domain, geography, worker type, lead time, quality, and economics, then build the team, systems, partnerships, and operating cadence required to scale them. What You’ll Do Define the long-term expert acquisition strategy. Determine how Snorkel will attract, develop, and retain the expert capabilities that strengthen its AI Expert Network as a strategic asset. Build a differentiated base of human intellectual capital through distinctive sourcing channels, trusted communities and partnerships, and durable expert relationships. Focus investment on capabilities and network strengths that improve the company’s ability to serve customers and are difficult for competitors to replicate. Own the end-to-end supply growth str

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About This Role The Fellow Program is a critical new initiative at Snorkel AI, designed to build and scale the expert workforce powering our ability to deliver exceptional outcomes for customers. We are building the people foundation for a program that will grow through rolling cohorts, new geographies, and a potential workforce expected to scale into the thousands. We are looking for a strategic, entrepreneurial Staff HRBP to help shape what this program becomes. This is not a traditional support role. You will own the people strategy and operating model for one of Snorkel’s most important growth initiatives, partnering directly with senior leaders to design how Fellows are hired, onboarded, developed, deployed, recognized, and supported throughout their employment lifecycle. This is a rare 0-to-1 opportunity for a thoughtful builder who enjoys turning ambiguity into momentum. You will create the programs, practices, and manager capabilities that enable a new workforce model to scale with quality, speed, and a standout employee experience. The work you do will have a visible impact on our Fellows, our customers, and Snorkel’s ability to scale. This role is hybrid ( 3 days/week in office) in San Francisco, CA. What You'll Do This role reports to the Senior Director, People Programs & Partnerships, and will focus on: Own the people strategy and operating model for the Fellow Program, translating ambitious program goals and workforce needs into a clea

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! In September 2026 we raised a $350 million Series E at a $3.5 billion valuation , and we are scaling our engineering and research teams to meet demand. The role Frontier AI data is expensive to make and hard to measure. Every task we deliver is tested against the strongest models, often through many long-running agent rollouts. Your job is to make that process faster, cheaper, and more rigorous with ML and AI You will be one of the early members of ML & Research Engineering at Snorkel. You will study how frontier-grade data is generated and evaluated, form hypotheses, validate them against real production data, and ship the winners at scale. You will shape the discipline's direction, its standards, and the team that grows around it. What you'll work on Efficient agentic evals. Cut the cost of long-horizon agent evaluation with adaptive sampling, statistically grounded early stopping, model cascades, caching, and cheap-first gating. AI model routing. Route every eval and judge call to the cheapest model that clears the quality bar, with fallback, monitoring, and cost attribution. Fine-tuned small models. Fine-tune and serve open-weight models (LoRA and other parameter-efficient methods) where they match frontier quality, and know when they don't. Predictive difficulty. Build models that estimate how hard a task is for frontier systems before running a single rollout. Measurement for AI data. Build golden datasets, quantify the accuracy and calibratio

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! We’re looking for a Research Scientist to advance how high-quality data and environments for AI agents are created. You’ll build and optimize pipelines that combine real-world data, automated generation, and human expert input. Working with domain experts, academic partners, customers, and our product and engineering teams, you’ll scale these pipelines to target frontier model performance gaps and expand data and environment diversity. Your work will amplify human knowledge and judgement, enabling experts to create and refine data and agentic environments that strengthens Snorkel’s position as the frontier data lab. This role is ideal for someone who wants to advance frontier AI through data and environment creation and enjoys turning research into reusable, scalable systems. Location: San Francisco, New York City, OR REMOTE Main Responsibilities Design, implement, and optimize reusable pipelines that combine AI capabilities with expert judgment to accelerate data and agentic environment creation. Design and run rigorous experiments to validate proof-of-concept approaches, measure their impact on data quality, pipeline efficiency, and model performance, and communicate findings. Partner with engineering, data operation, domain experts, and customers to turn research prototypes into reliable production workflows. Work directly with domain experts to design and test workflows that help them author, review, and refine data and environments. Work cros