Research Communications Manager Jobs

Position: SEO Content Writer Job Type: Full-Time Location: Remote Job Overview We are looking for a creative and data-driven SEO Content Writer who can create engaging content for websites, blogs, Instagram, YouTube, and other digital platforms. The ideal candidate should have a strong understanding of SEO, content optimization, audience engagement, and content performance analysis. Key Responsibilities 1)Write SEO-friendly blog articles, website content, and landing page copy. Create engaging captions, content ideas, and scripts for Instagram, Facebook, and other social media platforms. 2)Develop YouTube video titles, descriptions, tags, scripts, and SEO strategies. 3)Conduct keyword research and competitor content analysis. 4)Optimize content for search engines to improve organic traffic and rankings. 5)Analyse content performance using Google Analytics, Search Console, YouTube Analytics, and social media insights. 6)Suggest content monetization strategies to increase traffic, engagement, and revenue. 7)Create content calendars and maintain consistent publishing schedules. 8)Collaborate with designers, video editors, and marketing teams to execute content strategies. Required Skills 1)Strong written English skills with excellent grammar. 2)Knowledge of SEO fundamentals, keyword research, and on-page SEO. 3)Experience with content writing for blogs, websites, social media, and YouTube. 4)Understanding of content monetization strategies and audience growth techniques. 5)Familiarity with tools such as Google Analytics, Google Search Console, YouTube Studio, Canva, SEMrush, Ahrefs, or similar tools. 6)Ability to analyse content performance and provide improvement recommendations. Preferred Qualifications Bachelor's degree in Marketing, Journalism, English, Mass Communication, or related field. Prior experience in SEO content writing, digital marketing, or content strategy. Experience managing content for multiple platforms is an added advantage. Interested C

Canopy Business Development Representative As a Business Development Representative at Canopy, you will be responsible for developing leads and building the sales pipeline in partnership with the marketing and sales teams. You are someone who has experience working in healthcare and/or hospitals, is well-organized and structured in your efforts, and can effectively write to and engage with senior health system executives. This is a great opportunity for candidates who want to work in a fast-paced environment, make a big impact and win as a team to scale a growing business. Position Location: Remote How you’ll make an impact: Account-based sales development: Research, prospect and qualify named target accounts using a strategic, focused approach that values “quality over quantity” Account research: Research target companies and identify key decision makers to better tailor lead follow-up and outreach. 1:1 sales prospecting: Deliver compelling, personalized messages and offers to key personas such as the VP of Security, Chief Nursing Officer, and VP of Operations to secure first meetings. Inbound lead follow-up: In partnership with demand generation marketing, follow-up with qualified leads generated from the website and marketing campaigns in a timely manner. Sales partnership: Coordinate with sales representatives to align on target accounts, handoff leads, share prospect insights, and prepare for first meetings. Marketing support: Represent Canopy at conferences and virtual events to engage and qualify prospective customers. Market insights: Provide “voice of customer ”feedback and competitive insights to sales, marketing and product teams to improve the offering and go-to-market strategy. What we’re looking for: Minimum qualifications: Clinical experience in a hospital or the medical field is strongly preferred Experience in growing sales pipeline through a targeted account-based outbound approach is a plus Strong communication,

About the Team The Platform Systems team at OpenAI operates at the intersection of cutting-edge AI and large-scale distributed systems. We build the engineering and research infrastructure required to train OpenAI’s flagship models on some of the world’s largest, custom-built supercomputers. Our team develops core model training software and works deep in the stack - spanning collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we build are foundational to OpenAI’s research velocity, enabling reliable, efficient training at frontier scale. We collaborate closely with researchers across the organization, continuously incorporating learnings from across OpenAI into the evolution of our training platform. About the Role As a Software Engineer, Platform Systems, you will design and build distributed systems that provide visibility into large-scale training workloads and help operate them reliably at scale. You’ll work on failure detection, tracing, and observability systems that identify slow or faulty nodes, surface performance bottlenecks, and help engineers understand and optimize massive distributed training jobs. This infrastructure is critical to operating OpenAI’s training stack and is actively evolving to support new use cases and increasingly complex workloads. This role sits at the core of our training infrastructure, blending systems engineering, performance analysis, and large-scale debugging. In This Role, You Will Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training jobs Develop tooling to identify slow, faulty, or misbehaving nodes and provide actionable visibility into system behavior Improve observability, reliability, and performance across OpenAI’s training platform Debug and resolve issues in complex, high-throughput distributed systems Collaborate with systems, infrastructure, and research teams to evolve platform

About the Team The Platform Systems team at OpenAI operates at the intersection of cutting-edge AI and large-scale distributed systems. We build the engineering and research infrastructure required to train OpenAI’s flagship models on some of the world’s largest, custom-built supercomputers. Our team develops core model training software and works deep in the stack - spanning collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we build are foundational to OpenAI’s research velocity, enabling reliable, efficient training at frontier scale. We collaborate closely with researchers across the organization, continuously incorporating learnings from across OpenAI into the evolution of our training platform. About the Role As a Software Engineer, Platform Systems, you will design and build distributed systems that provide visibility into large-scale training workloads and help operate them reliably at scale. You’ll work on failure detection, tracing, and observability systems that identify slow or faulty nodes, surface performance bottlenecks, and help engineers understand and optimize massive distributed training jobs. This infrastructure is critical to operating OpenAI’s training stack and is actively evolving to support new use cases and increasingly complex workloads. This role sits at the core of our training infrastructure, blending systems engineering, performance analysis, and large-scale debugging. In This Role, You Will Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training jobs Develop tooling to identify slow, faulty, or misbehaving nodes and provide actionable visibility into system behavior Improve observability, reliability, and performance across OpenAI’s training platform Debug and resolve issues in complex, high-throughput distributed systems Collaborate with systems, infrastructure, and research teams to evolve platform

P-78 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems, from advancing AI research to powering next-generation applications. We do this by building and operating the world’s best data and AI infrastructure platform. Founded by engineers and driven by customer obsession, we embrace the hardest technical challenges, whether it’s scaling distributed systems across multiple clouds or delivering reliable, low-latency communication between thousands of services. And we’re only getting started. As a Senior Software Engineer on the Application Traffic team , you will design and build the systems that power Databricks’ service-to-service communication across thousands of clusters in a multi-cloud environment. You will also help create abstractions that hide networking complexity from product teams, making connectivity, discovery, and reliability seamless by default. The impact you’ll have: You’ll work across three key areas that define Databricks’ networking stack: Ingress Control Plane : Build the control plane for Databricks’ global ingress layer. Enable programming of API gateways with static and dynamic endpoints, simplify service onboarding, and make it easy to expose APIs securely across clouds. Service-to-Service Communication : Design scalable mechanisms for service discovery and load balancing across thousands of clusters. Provide networking abstractions so product teams don’t need to worry about underlying connectivity details. Overload Protection : Build intelligent rate limiting and admission control systems to protect critical services under high load. Ensure reliability and predictable performance for both customer-facing and internal workloads. What we look for: BS (or higher) in Computer Science or related field 5+ years of experience designing and building large-scale distributed systems Strong proficiency in one or more languages such as Java, Scala, Go, or C++ Experience with service-oriented architectures an

Job Title : Echocardiographer Location : Bradford , West Yorkshire Banding: Band 7 Start date: 31 March 2025 Duration: 5 months Rate : £50 - £60 Working hours: Monday – Friday We are seeking a highly skilled and experienced Band 7 Echocardiographer to join our client's team in Bradford. This role offers an exciting opportunity to work in a dynamic and supportive environment, providing essential echocardiography services to our patients. The successful candidate will play a crucial role in diagnosing and monitoring heart conditions, contributing to the overall quality of care provided. What will your responsibilities be : The Band 7 Echocardiographer will be responsible for performing echocardiograms, analysing results, and providing detailed reports to the medical team. This role involves working closely with cardiologists and other healthcare professionals to ensure accurate diagnosis and effective treatment plans. Additional responsibilities include maintaining and calibrating echocardiography equipment, ensuring compliance with health and safety regulations, staying updated with the latest advancements in echocardiography techniques, training and mentoring junior staff and students, participating in multidisciplinary team meetings, contributing to research and development projects, managing patient appointments and ensuring timely service delivery, and providing patient education and support regarding echocardiography procedures. Qualifications and Experiences: Postgraduate qualification in Echocardiography Minimum of 3 years of experience in echocardiography Proficiency in performing and interpreting echocardiograms Strong communication and interpersonal skills Ability to work independently and as part of a team Commitment to continuous professional development How to apply? If you feel your expertise is suited to this role, please apply today and our specialist team will be in touch to discuss it with

Position: SEO Content Writer Specialist Job Type: Full-Time Location: Remote Compensation - 25K - 45K(Depends on the candidate's last CTC) Key Responsibilities 1. Write SEO-friendly blog articles, website content, and landing page copy. 2. Create engaging captions, content ideas, and scripts for Instagram, Facebook, and other social media platforms. 3. Develop YouTube video titles, descriptions, tags, scripts, and SEO strategies. Conduct keyword research and competitor content analysis. 4. Optimize content for search engines to improve organic traffic and rankings. 5. Analyse content performance using Google Analytics, Search Console, YouTube Analytics, and social media insights. 6. Suggest content monetization strategies to increase traffic, engagement, and revenue. 7. Create content calendars and maintain consistent publishing schedules. 8. Collaborate with designers, video editors, and marketing teams to execute content strategies. Required Skills 1. Strong written English skills with excellent grammar. 2. Knowledge of SEO fundamentals, keyword research, and on-page SEO. 3. Experience with content writing for blogs, websites, social media, and YouTube. 4. Understanding of content monetization strategies and audience growth techniques. 5. Familiarity with tools such as Google Analytics, Google Search Console, YouTube Studio, ChatGPT, Canva, SEMrush, Ahrefs, or similar tools. 6. Ability to analyze content performance and provide improvement recommendations. Preferred Qualifications Bachelor's degree in Marketing, Journalism, English, Mass Communication, or related field. Prior experience in SEO content writing, digital marketing, or content strategy. Experience managing content for multiple platforms is an added advantage. Interested candidates can share their resume, portfolio, and contact details at .

NVIDIA is hiring senior engineers to develop its AI platform and more specifically its performance optimizations in deep learning frameworks using JAX, a tool that can differentiate between Python control code and NumPy code. Our goal is to deliver a polished, fast, modular and coordinated platform to handle data, training and analysis for a wide range of deep learning solutions using JAX. To achieve this and provide an excellent user experience, you have strong programming skills and excellent system design skills. You should have excellent communication and planning skills for this role. Come join us to build the next generation of tooling that will advance the numerical computing and machine learning research around the world! What you will be doing: Play meaningful role in NVIDIA's effort in contributing to JAX. Design and implement JAX core components and drive peak performance on NVIDIA products. Work with AI applied researchers and leaders to build future-proof models Build tools that will increase the efficiency of teams developing AI-based systems. Work to bridge the gap between the latest in numerical computing, simulation and deep learning research and their applications in real world products. What we need to see: BS in Computer Science or Computer Engineering or related field (or equivalent experience). 6+ years relevant experience. C/C++ and Python programming. Experience with machine learning frameworks and their internals (e.g. PyTorch, TensorFlow, scikit-learn, etc.). Proven ability developing customer-facing solutions, balancing feature requests and bugs. Proven technical foundation in CPU and GPU architectures, numeric libraries, modular software design. Highly motivated with excellent ver

About the Team At OpenAI, we are dedicated to building safe artificial general intelligence (AGI) to benefit all of humanity. Our mission attracts the world’s top talent across research, engineering, product, policy, and operations. OpenAI’s Recruiting Operations (RecOps) team provides the systems, workflows, and data foundation that power hiring at OpenAI. Within RecOps, the Systems & Enablement function owns the recruiting technology ecosystem—ensuring our ATS, offer workflows, and connected tools are reliable, well-governed, and user-centric. About the Role We are seeking a Systems & Enablement Lead, Recruiting Operations to lead improvements across recruiting processes, systems, and enablement. You’ll identify recurring friction, define the underlying problem, and carry solutions from an initial test through implementation, adoption, and a repeatable operating process. You’ll partner with Recruiting leaders, People Systems, and hiring teams to translate hiring priorities into scalable processes and programs. You’ll align stakeholders on the most consequential problems, establish shared operating standards, and lead changes that improve recruiting effectiveness. Success means measurable improvements, sustained adoption, and clear ownership that enables teams to operate independently and adapt as hiring needs evolve. In this role, you will: Lead projects from discovery through adoption, managing scope, milestones, dependencies, and risks. Owning enablement for operational workflow changes, including documentation, training, office hours, and change communication. Supporting offer approval and other sensitive recruiting workflows through clear coordination, followthrough, and exception handling. Identifying recurring support themes and driving fixes through process changes, documentation improvements, automation, or handoff to People Systems. Partnering closely with recruiters, coordinators, People Systems, and cross functional stakeholders to improve workf

Electronic and Electrical Design and Analysis Engineer (Associate or Mid-Level) Company: The Boeing Company Boeing Global Services (BGS) Engineering team is currently hiring for a broad range of experience levels including an Electronic and Electrical Design and Analysis Engineer (Associate or Mid-Level) to support the C-17 Globemaster 3 program at the Dover Air Force Base in Delaware. The selected candidate will provide embedded USAF Field and Product Review Engineering support. This position performs and represents Boeing C-17 Engineering as an integral part of a multi-disciplined team in conjunction with the C-17 Globemaster 3 sustainment contract (G3). Position Responsibilities: Utilize Flight Data Recorder (FDR) and Quick Access Recorder (QAR) data to diagnose complex avionics and electrical system anomalies Analyze flight data logs to isolate root causes of system failures and intermittent electrical issues Decode and interpret parametric flight data to troubleshoot onboard electrical, communication, and navigation systems Apply knowledge of Boeing C-17 design and engineering principles to assess and resolve operational issues through the aircraft’s lifecycle A pply engineering principles and experience to research technical, operational, and quality issues that cannot be resolved by the customer Develop and release interim and permanent engineering dispositions to ensure aircraft airworthiness and overall operational safety and effectiveness Utilize innovative approaches and unique applications to solve complex nonconforming conditions Identify, document, and analyze reported problems and communicate

About the team The Applied AI Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior. This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems. About the Role As an Applied AI Engineer focused on Codex for startups, you will help developers and founders transform how they build and ship software. You’ll combine hands-on engineering, startup experience, and compelling technical communication to help teams turn the potential of AI coding tools into practical, effective workflows. Presentations and community engagement are central to this role. You will engage developers and founders through technical talks, live demos, workshops, and programmes across the startup ecosystem, alongside targeted work with individual customers. You’ll build reusable tools and resources that extend your impact, and bring insights from developers back to OpenAI’s Product, Research, and Engineering teams. This role is well suited to someone who enjoys both hands-on building and sharing what they learn with others. You should be as excited to lead a room of developers, deliver an engaging presentation, and build relationships across the startup community as you are to explore a technical problem in code—with a focus on sustained adoption and meaningful improvements in how startups work. In this role, you will: Partner with top startups to identify where Codex can have the greatest impact on how their teams build and ship software. Design and lead technical talks, live demos, workshops,

About the team The Applied AI Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior. This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems. About the Role As an Applied AI Engineer focused on Codex for startups, you will help developers and founders transform how they build and ship software. You’ll combine hands-on engineering, startup experience, and compelling technical communication to help teams turn the potential of AI coding tools into practical, effective workflows. Presentations and community engagement are central to this role. You will engage developers and founders through technical talks, live demos, workshops, and programmes across the startup ecosystem, alongside targeted work with individual customers. You’ll build reusable tools and resources that extend your impact, and bring insights from developers back to OpenAI’s Product, Research, and Engineering teams. This role is well suited to someone who enjoys both hands-on building and sharing what they learn with others. You should be as excited to lead a room of developers, deliver an engaging presentation, and build relationships across the startup community as you are to explore a technical problem in code—with a focus on sustained adoption and meaningful improvements in how startups work. In this role, you will: Partner with top startups to identify where Codex can have the greatest impact on how their teams build and ship software. Design and lead technical talks, live demos, workshops,

About the team The Applied AI Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior. This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems. About the Role As an Applied AI Engineer focused on Codex for startups, you will help developers and founders transform how they build and ship software. You’ll combine hands-on engineering, startup experience, and compelling technical communication to help teams turn the potential of AI coding tools into practical, effective workflows. Presentations and community engagement are central to this role. You will engage developers and founders through technical talks, live demos, workshops, and programmes across the startup ecosystem, alongside targeted work with individual customers. You’ll build reusable tools and resources that extend your impact, and bring insights from developers back to OpenAI’s Product, Research, and Engineering teams. This role is well suited to someone who enjoys both hands-on building and sharing what they learn with others. You should be as excited to lead a room of developers, deliver an engaging presentation, and build relationships across the startup community as you are to explore a technical problem in code—with a focus on sustained adoption and meaningful improvements in how startups work. In this role, you will: Partner with top startups to identify where Codex can have the greatest impact on how their teams build and ship software. Design and lead technical talks, live demos, workshops,

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. ● Experience in - Telephony/Teams Call/AudioVisual Zoom rooms/Multi-fuction printer - Operation of Microsoft windows OS and LAN TCP/IP - Knowledge related to problem research. ● Ability to analyze and solve problems for Telephony/Teams Call/AudioVisual Zoom rooms/Multi-fuction printer ● Leveraging Artificial Intelligence to speed Micron AI transfermation ●Support the acquisition, installation, maintenance, and administration for hardware and software ●Manage asset and refresh hw align life cycle rule ●Work with world-wide Corporate teams to implement new solutions and meet business requirements ●Those with manufacturing work experience are preferred. ●Proficient in Chinese/English oral and written communication skills. ●Participate in on-call rotation. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities

As an Applied Science Intern, you will join a cross-functional team of engineers and applied scientists building AI-powered features within the Datadog platform. You will contribute to both existing and new products by improving machine learning models, developing new AI capabilities, and helping bring research into production. Working closely with engineering and product partners, you'll gain hands-on experience deploying AI systems at scale while strengthening your product mindset, collaboration, and communication skills. You'll also have opportunities to contribute to cutting-edge research that directly powers customer-facing features. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Design solutions for AI use cases by researching and benchmarking state-of-the-art models to identify the best approach Build highly scalable product features using generative AI, machine learning algorithms, and statistical techniques Contribute to the development, deployment, monitoring, and maintenance of production AI models, services, and infrastructure Explore, analyze, and derive insights from the large-scale observability data flowing through Datadog systems Participate in technical knowledge sharing by presenting recent academic research and investigating emerging model architectures to improve existing and future products Collaborate with engineering and product teams to productionize AI solutions and deliver customer-facing features Who You Are: You will graduate in 2027 with a degree in Machine Learning, Artificial Intelligence, Statistics, Computer Science, or a related field You have experience building machine learning models through coursework, research, internships, or personal projects You have strong programming skills and are eager to lear