At Bayer, we're seeking a Senior Medical Science Liaison to join our team in Naperville, Illinois. As a trusted scientific expert and partner, you will represent Bayer in the medical community through the dissemination of and education on scientific data related to Bayer products across the product lifecycle.
\nThe Senior Medical Science Liaison will establish proactive long-term scientific/strategic relationships with key, influential healthcare providers, and stakeholders, and with major medical associations and academic centers of excellence. These relationships will ensure that healthcare providers and organisations have access to relevant scientific information and that pertinent information is shared with the medical community.
\nKey Responsibilities:
\nRequirements:
\nPreferred Qualifications:
\nIf you are a motivated and experienced professional looking for a challenging role in a dynamic and innovative company, please submit your application.
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\nAbout the Role: The Claude Agentic Solutions team is Anthropic's forward-deployed engine , embedding directly with Fortune 500 enterprises to architect, build, and deploy production AI agents that transform how they work. We partner with companies that have decided AI is a strategic priority and need Anthropic alongside them to make it real.
\nYou will own how Anthropic Solutions shows up in your industry segment , from the quality of individual engagements to the strategy that defines which problems we solve and for whom. This is fundamentally a technical leadership role: you set the bar for delivery, develop your team's vertical expertise, and ensure every engagement produces outcomes worth repeating.
\nResponsibilities:
\nTech Leadership
\nUse Case Library & Reusable Patterns
\nCommercial Leadership
\nRequirements:
\nAnnual Compensation Range:
\n£255,000-£325,000 GBP
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We want AI to be safe and beneficial for our users and for society as a whole.\\n\\nApply using this link. The next cohort of Anthropic fellows starts on July 20, 2026. Apply by April 26, 2026 to be considered for this cohort. We will continue accepting applications for later cohorts on a rolling basis. In exceptional circumstances, we may be able to accommodate fellows starting outside of usual cohort timelines.\\n\\nThis page is specific to one of the Anthropic Fellows Workstreams, see also the main Anthropic Fellows posting.\\n\\nAnthropic Fellows Program overview\\n\\nThe Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.\\n\\nFellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers.\\n\\nWe run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.\\n\\nWhat to expect\\n\\n- 4 months of full-time research \\n\\n- Direct mentorship from Anthropic researchers \\n\\n- Access to a shared workspace (in either Berkeley, California or London, UK)\\n\\n- Connection to the broader AI safety and security research community\\n\\n- Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)\\n\\n- Funding for compute (~$15k/month) and other research expenses\\n\\nInterview process\\n\\nThe interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion. \\n\\nCompensation\\n\\nThe expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).\\n\\nFellows workstreams\\n\\nDue to the success of the Anthropic Fellows for AI Safety Research program, we are now expanding it across teams at Anthropic. We expect there to be significant overlap in the types of skills and responsibilities across the roles and will by default consider candidates for all the workstreams.\\n\\nSome of the workstreams may include unique assessment steps; we therefore ask you for workstream preferences in the application. You can see an overview of the current workstreams below:\\n\\n- AI Safety Fellows\\n\\n- AI Security Fellows\\n\\n- ML Systems & Performance Fellows\\n\\n- Reinforcement Learning Fellows\\n\\n- Economics & Societal Impacts Fellows\\n\\nAcross the workstreams, you may be a good fit if you:\\n\\n- Are motivated by making sure AI is safe and beneficial for society as a whole\\n\\n- Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic\\n\\n- Have a strong technical background in computer science, mathematics, or physics\\n\\n- Thrive in fast-paced, collaborative environments\\n\\n- Can implement ideas quickly and communicate clearly\\n\\nStrong candidates may also have:\\n\\n- Strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity)\\n\\n- Experience in areas of research or engineering related to their workstream\\n\\nCandidates must be:\\n\\n- Fluent in Python programming\\n\\n- Available to work full-time on the Fellows program\\n\\nML Systems & Performance Fellows\\n\\nMentors, research areas, & past projects\\n\\nFellows will undergo a project selection & mentor matching process. Potential mentors include:\\n\\n- Alwin Peng\\n\\n- Zygi Straznickas\\n\\nNote: You may research mentors' prior work, but all applications must go through the official form, not the mentors.\\n\\nFor a past example of an engineering-heavy project, see:\\n\\n- AI agents find $4.6M in blockchain smart contract exploits\\n\\nProjects in this workstream may include:\\n\\n- Building a CPU simulator for accelerator workloads\\n\\n- Adding backends for different accelerators on an open source project\\n\\n- Building on demand infrastructure for other infrastructure heavy fellows projects \\n\\n- Building complex synthetic data or environment pipelines\\n\\nUnique candidate criteria\\n\\nYou might be a particularly great fit for this workstream if you:\\n\\n- Have strong software engineering skills with experience building complex ML systems\\n\\n- Can balance research exploration with engineering rigor and operational reliability\\n\\n- Enjoy collaborating across research and engineering disciplines\\n\\n- Are comfortable working with large-scale distributed systems and high-performance computing (e.g. in trading)\\n\\n- Have experience with training, fine-tuning, or evaluating large language models\\n\\n- Are adept at analyzing and debugging model training processes\\n\\nLogistics\\n\\nLogistics Requirements: To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.\\n\\nWorkspace Locations: We have designated shared workspaces in London and Berkeley where fellows will work from and mentors will visit. We are also open to remote fellows in the UK, US, or Canada. We will ask you about your availability to work from Berkeley or London (full- or part-time) during the program.\\n\\nVisa Sponsorship: We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.\\n\\nProgram Duration: The program runs for 4 months, full-time. If you can't commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.\\n\\nPlease note: We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic. In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organizations.\\n\\nApplications and interviews are managed by Constellation, our official recruiting partner for this program. Constellation also runs the Berkeley workspace that hosts fellows. Clicking "Apply here" will redirect you to Constellation's application portal. You can expect to receive emails from Constellation with application updates.
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\nIn this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities.
\nToday, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns.
\nYou will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.
\nResponsibilities
\nRequired Qualifications
\nPreferred Qualifications
\nSalary and Benefits
\nThe salary range for this role is $254,000-$336,000 USD. Highly competitive equity grants are included in the majority of full-time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
\nProtecting Yourself from Recruitment Scams
\nAnduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
\nTo ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
\nDirect from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
\nWhat to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com.
\nYour proactive approach in protecting yourself from recruitment scams is greatly appreciated.
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You will work with data systems from across Anthropic, including our research tools for privacy-preserving analysis.\\n\\nThe Economic Research team at Anthropic studies the economic implications of AI on individual, firm, and economy-wide outcomes. We build scalable systems to monitor AI usage patterns and directly measure the impact of AI adoption on real-world outcomes. We publish research and data that is clear-eyed about the economic effects of AI to help policymakers, businesses, and the public understand and navigate the transition to powerful AI.\\n\\nIn this role, you will work closely with teams across Anthropic,including Data Science and Analytics, Data Infrastructure, Societal Impacts, and Public Policy,to build scalable and robust data systems that support high-leverage, high-impact research. 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Applications are reviewed on a rolling basis\\n\\nThe annual compensation range for this role is listed below.\\n\\nFor sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\\n\\nAnnual Salary: $300,000-$405,000 USD\\n\\nLogistics\\n\\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience\\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\\nLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\\n\\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\\n\\nYour safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.\\n\\nHow we're different\\n\\nWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on small\\n
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\nYou'll also need strong communication and teamwork skills, with the ability to work effectively in a collaborative environment, and strong organisational skills and attention to detail with the ability to manage multiple projects simultaneously.
\nWe're looking for someone with a passion for renewable energy and sustainability, and a minimum of 2 years of experience in the field.
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\nLocation
\nNew York City
\nEmployment Type
\nFull time
\nLocation Type
\nHybrid
\nDepartment
\nModel Deployment for Business
\nCompensation
\nThe base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
\nMore details about our benefits are available to candidates during the hiring process.
\nThis role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.
\nAbout the team
\nOpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
\nAbout the role
\nForward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.
\nYou will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.
\nThis role is based in NYC. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.
\nIn this role you will
\nYou might thrive in this role if you
\nAbout OpenAI
\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
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\nEurope
\nEmployment Type
\nFull time
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\nRemote
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\nEngineeringEngineering
\nSynthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.
\nAs AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.
\nFollowing our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.
\nAbout the role
\nWhat we're looking for:
\nWhy join us?
\nWe’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why,
\nOur culture
\nAt Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here.
\nServing 50,000+ customers (and 80% of the Fortune 500)
\nWe’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2.
\nProprietary AI technology
\nSince 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind.
\nAI Safety, Ethics and Security
\nAI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always. Learn more about our commitments to AI Ethics, Safety & Security.
\nThe hiring process:
\nThe process does not need to take long - we can be done in seven working days.
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