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About the team Our Automation team is the engine room of Meesho's supply chain — the ones who show up when packages need to move faster, smarter, and more reliably than the day before. From sortation systems that untangle millions of parcels a day to the material handling tech that keeps our network humming without missing a beat, we turn operational chaos into effortless scale. We're not just automating tasks — we're engineering the backbone that lets Meesho suply chain chart the future of commerce for Bharat About the role We are seeking an experienced Project Manager to lead the end-to-end execution of a new automated warehouse sorting facility. The role involves managing cross-functional vendors across automation machinery, infrastructure, and operations to deliver the project on time, within budget, and to specification. The Project Manager will serve as the single point of accountability from inception to commissioning of the facility. What you will need 6–10 years of experience in project management in warehouse/industrial automation, logistics infrastructure, or large-scale industrial projects. Proven track record of managing multi-disciplinary teams (automation, infra, operations).Experience with vendors/OEMs in material handling, conveyors, robotics, or sortation systems. Excellent vendor management, negotiation, and contract handling. Strong problem-solving, risk management, and execution mindset. Excellent communication and stakeholder management. What you will do Project Planning & Execution - Define project scope, timelines, and milestones in line with business goals. Develop detailed project plans covering automation systems, infrastructure, IT integration, electrical power, and operations readiness. Work closely with the central automation & network team to cl

The Compliance Manager will be responsible for establishing, implementing, monitoring, and continuously improving the compliance framework for airport infrastructure projects and associated development activities. The role will ensure adherence to all applicable statutory, regulatory, contractual, corporate governance, environmental, labour, safety, and business compliance requirements throughout the project lifecycle. The position will act as the central compliance custodian, coordinating with project teams, contractors, consultants, regulatory authorities, legal teams, and business stakeholders to ensure timely identification, tracking, and closure of compliance obligations while mitigating organizational risks and safeguarding the interests of the company. The JD incorporates key expectations from the reference Compliance Manager document. Source: Adani Group | Job ID: 58573

The Chief Project Officer (CPO) is responsible for the overall direction, execution, and financial success of the organization’s projects. The CPO drives business strategy, ensures operational excellence in project management, fosters organizational growth, and maintains strong relationships with key stakeholders, ensuring the business thrives in a competitive environment. Source: Adani Group | Job ID: 58693

To lead and manage Electrical Construction, Erection, Testing & Commissioning activities for Thermal Power Plant Projects, ensuring timely project execution, adherence to quality standards, safety compliance, and achievement of project milestones. The role involves managing BTG, BOP, and EBoP electrical systems while coordinating with multiple stakeholders, contractors, consultants, and OEMs. Source: Adani Group | Job ID: 56553

The Lead EMS/SCADA will be responsible for the design, development, integration, testing, and deployment of Energy Management Systems (EMS) and SCADA solutions for utility-scale Battery Energy Storage System (BESS) projects. The role will drive system architecture, control strategies, monitoring solutions, and communication interfaces to ensure optimal performance, reliability, and grid compliance. Source: Adani Group | Job ID: 58677

The Lead Electrical will be responsible for the electrical design, engineering, integration, testing, and commissioning of Battery Energy Storage System (BESS) projects. The role involves leading electrical engineering activities related to LV/MV systems, transformers, switchgear, protection systems, power distribution, grid connectivity, and compliance with applicable standards. Source: Adani Group | Job ID: 58675

About the Role The Agents team investigates how to build, align, and scale frontier AI systems that can tackle complex, multi-step tasks and workflows across text and speech, with a particular focus on agentic and scientific domains. Our work sits at the intersection of agent capabilities, human-computer interaction, and infrastructure—from designing post-training methods for agentic behavior to developing evaluation frameworks for open-ended tasks where traditional metrics fall short. As a research intern, you will work on problems at the frontier of agentic AI, where challenges in alignment, reliability, and scalability are deeply intertwined. Projects may involve developing new training recipes for self-learning and long-horizon reasoning, curating datasets for non-deterministic scientific and agentic tasks, studying failure modes in agentic behavior, or building infrastructure that enables agent operations at scale. You'll operate in a space where algorithmic innovation, dataset and interaction design, and systems work come together to push the boundaries of what AI agents can reliably accomplish. Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Communicate the plans, progress, and results of projects to the broader team Requirements Currently pursuing a Ph.D. degree in Computer Science, Electrical Engineering, Information Science, or a related field Publications at leading ML, NLP, or speech conferences or journals (such as NeurIPS, ICML, ICLR, *ACL, EMNLP, Interspeech) Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Understanding of how LLMs work Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Example Research Directions Training, develo

About the Role The Agents team investigates how to build, align, and scale frontier AI systems that can tackle complex, multi-step tasks and workflows across text and speech, with a particular focus on agentic and scientific domains. Our work sits at the intersection of agent capabilities, human-computer interaction, and infrastructure—from designing post-training methods for agentic behavior to developing evaluation frameworks for open-ended tasks where traditional metrics fall short. As a research intern, you will work on problems at the frontier of agentic AI, where challenges in alignment, reliability, and scalability are deeply intertwined. Projects may involve developing new training recipes for self-learning and long-horizon reasoning, curating datasets for non-deterministic scientific and agentic tasks, studying failure modes in agentic behavior, or building infrastructure that enables agent operations at scale. You'll operate in a space where algorithmic innovation, dataset and interaction design, and systems work come together to push the boundaries of what AI agents can reliably accomplish. Responsibilities Research and implement novel techniques in one or more of our focus areas Design and conduct rigorous experiments to validate hypotheses Document findings in scientific publications and blog posts Communicate the plans, progress, and results of projects to the broader team Requirements Currently pursuing a Ph.D. degree in Computer Science, Electrical Engineering, Information Science, or a related field Publications at leading ML, NLP, or speech conferences or journals (such as NeurIPS, ICML, ICLR, *ACL, EMNLP, Interspeech) Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Understanding of how LLMs work Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Example Research Directions Training, develo

About The Role The Inference Research team is dedicated to building the next generation of efficient, scalable, and reliable serving systems for large foundation models, directly contributing to the mission of advancing open and transparent AI. Our work operates at the critical intersection of cutting-edge model architectures, high-performance systems engineering, and deep hardware optimization. We focus on co-designing software, algorithms, and models to significantly lower the cost and latency of modern AI systems. As a research intern, you will dive into the complexities of distributed inference, compiler-aware optimization, and novel inference-time computation strategies (such as speculative decoding and phase-aware execution). You will be tasked with co-designing and implementing cross-layer optimizations across models, systems, and hardware, with a focus on areas like KV cache design and large-scale serving architectures. Projects aim to unlock unprecedented performance and scale for foundation models, enabling faster serving, larger model deployment (e.g., Mixture-of-Experts), and robust, reproducible evaluation under realistic serving workloads. Responsibilities Design and conduct rigorous experiments to validate hypotheses Communicate the plans, progress, and results of projects to the broader team Document findings in scientific publications and blog posts Requirements Currently pursuing a final year of Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Preferred Qualifications Prior research experience in foundation models , efficient machine learning , or ML systems . Publications at leading conferences in machine learning or systems (i.e., ML

About The Role The Inference Research team is dedicated to building the next generation of efficient, scalable, and reliable serving systems for large foundation models, directly contributing to the mission of advancing open and transparent AI. Our work operates at the critical intersection of cutting-edge model architectures, high-performance systems engineering, and deep hardware optimization. We focus on co-designing software, algorithms, and models to significantly lower the cost and latency of modern AI systems. As a research intern, you will dive into the complexities of distributed inference, compiler-aware optimization, and novel inference-time computation strategies (such as speculative decoding and phase-aware execution). You will be tasked with co-designing and implementing cross-layer optimizations across models, systems, and hardware, with a focus on areas like KV cache design and large-scale serving architectures. Projects aim to unlock unprecedented performance and scale for foundation models, enabling faster serving, larger model deployment (e.g., Mixture-of-Experts), and robust, reproducible evaluation under realistic serving workloads. Responsibilities Design and conduct rigorous experiments to validate hypotheses Communicate the plans, progress, and results of projects to the broader team Document findings in scientific publications and blog posts Requirements Currently pursuing a final year of Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Strong knowledge of Machine Learning and Deep Learning fundamentals Experience with deep learning frameworks (PyTorch, JAX, etc.) Strong programming skills in Python Familiarity with Transformer architectures and recent developments in foundation models Preferred Qualifications Prior research experience in foundation models , efficient machine learning , or ML systems . Publications at leading conferences in machine learning or systems (i.e., ML

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Team It’s an exciting time to join our rapidly growing Accounting team with ample development opportunities. We're growing the Revenue Data team with Engineering and Accounting Data openings to drive automation and systems infrastructure. All whilst while keeping pace within one of the fastest growing marketplace companies globally. About the Role The Engineer for Accounting Infrastructure and Systems designs, builds, and maintains the scalable backend services, data pipelines, and integrations that power DoorDash / Deliveroo's accounting, reconciliation, and financial reporting workflows. Working closely with Finance, Accounting, and fellow engineers, this role translates complex financial and regulatory requirements into reliable, automated systems that ensure accuracy, auditability, and compliance at scale. The ideal candidate brings strong distributed-systems and data engineering expertise along with a solid understanding of financial processes, and takes technical ownership of critical projects while mentoring junior engineers and helping shape the team's architecture and best practices. You're excited about this opportunity because you will… Take technical ownership of critical accounting infrastructure projects — designing and building the backend services, data pipelines, and integrations that power DoorDash's financial reporting, reconciliation, and close workflows at scale. Partner directly with Finance and Accounting stakeholders to translate complex financial and regulatory requirements into reliable, auditable, and automated systems. Shape the team's architecture and engineering best practices, mentoring junior engineers and raising the technica

Spotify is looking for a creative, strategic, and sharp editorial voice to join the US Podcast Editorial team. In this role, you'll lead high-visibility editorial projects end to end, partner cross-functionally as a creative and content expert, and shape how listeners discover and engage with podcasts and emerging formats on Spotify. The ideal candidate is a strong writer with a distinct editorial point of view who operates with independence and thrives at the intersection of creative judgment and platform strategy. This role reports into the Associate Director, Podcast Editorial & Audience Development. What You'll Do Drive and lead strategic editorial projects from brief through execution and results, including tentpole programming, format testing, and seasonal initiatives Write compelling editorial copy and commentary that brings Spotify's editorial voice to life across curated surfaces and promotional moments Partner cross-functionally as a creative and content expert across workstreams spanning product, personalization, and marketing Own curation of high-complexity or high-visibility editorial surfaces, maintaining quality, cultural relevance, and freshness Collaborate with Partnerships to develop strategies that grow creator audiences on platform Represent Editorial's perspective in cross-functional working groups and planning conversations Identify cultural moments, content trends, and audience opportunities that can be translated into compelling programming across audio and video formats Collaborate with data and analytics teams to inform editorial strategy and measure impact Who You Are 5+ years of experience in editorial, content strategy, or audience development within media, digital, or audio An exceptional writer and editor with a sharp voice and the ability to craft copy that resonates with diverse audiences A strong editorial point of view paired with

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: The Solutions Consultant Manager is the person who makes our GTM motion real on the ground. As an in-region leader directly managing a team of Solutions Consultants, you'll own your team's full commercial output—new logo, expansion, and renewals—and be accountable for both the results and the quality of execution that produces them. This isn't a traditional pipeline-management role. The best SC Managers are coaches first: they know what a great first meeting looks like, can watch a live build and tell a rep exactly what to change, and build the operating rhythm and inspection cadence that makes consistent execution possible across the team. If you're a builder who loves developing people as much as winning deals—and you want to lead a regional team in a go-to-market model that's genuinely new—this is the role. This role will be based in London, UK. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve: Own the commercial perfo

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. Join Micron as a Senior Fire Protection Systems Engineer and work on challenging projects driving innovation in fire protection engineering. Your role will be pivotal in managing and accomplishing fire protection engineering projects on-site. You will ensure flawless construction quality, strict consistency to schedules, uncompromising safety standards, effective cost control, and successful implementation of acceptance procedures. Responsibilities Manage on-site construction based on fire protection drawings and technical specifications such as automatic sprinklers, fire alarms, fire compartmentation, and smoke exhaust systems. Supervise and coordinate subcontractor work quality and progress, ensuring compliance with builds and regulatory acceptance standards. Plan, complete, and track construction schedules, regularly reporting progress and cost performance. Coordinate interfaces among civil, electrical, plumbing, and fire protection trades, resolving conflicts and schedule disruptions. Handle fire protection submissions, functional tests, coordinated tests, and acceptance procedures, compiling related documentation. Requirements At least 2 years of experience in fire protection or MEP site management, including a minimum of 2 completed fire acceptance projects. Familiarity with fire protection submissions, functional and coordinated testing, and acceptance processes, alo

Build What Matters. Build Your Future. Catamount builds the spaces communities depend on every day. From distribution centers that keep goods moving and medical facilities that provide critical care, to housing, restaurants, and fire stations serving local neighborhoods, our work supports real life. As a best-in-class, 100% employee-owned general contractor with a national reach, we complete projects across diverse markets and regions. This diversity empowers us, keeps our teams moving forward, and creates long-term opportunities for the people shaping our company. Why choose Catamount? We’re financially stable, growing, and built for the long haul. Our extensive national backlog and diverse project types provide stability, momentum, and opportunities. At Catamount, careers advance. Employee-owners can grow, move between project types and markets, and build long-term careers without starting over. Teams are carefully staffed, work-life balance is prioritized, and our people are seen as long-term assets. Diverse work. Real stability. Shared success. Role & Responsibilities: Maintain a strong understanding of the contract from the project onset Stay current during the construction process by accurately documenting project updates, as well as maintaining numerous logs and documenting changes as needed Using strong negotiation skills, establishes the appropriate purchasing plan, and makes solid and timely decisions for the company and the project during the buyout process Support the Superintendent, who is the primary person responsible for the project schedule, post the monthly schedule, and take appropriate action to maintain or improve schedule whenever possible Creating and maintaining relationships with the project owners and acting on their behalf, think proactively, and handle their needs with a sense of urgency and in a timely manner Facilitate Owner, Architect, and Contractor meeti