Synthesia

Senior Research Engineer - Video Foundation Models (Pre - Training)

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Synthesia is seeking a Senior Research Engineer for their Video Pre-Training team to build next-generation foundation models for human-centric video generation. This applied research role involves developing and scaling latent video diffusion models, designing conditioning mechanisms for control, advancing distributed training strategies, and optimizing inference for high-quality, stable, and efficient real-world deployment. The successful candidate will own end-to-end projects with direct product impact, focusing on outcomes in large-scale generative modeling and distributed systems.

Technical Support Specialist

Synthesia 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.As 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.Following 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.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">About the role</h2>As a Research Engineer in our Video Pre-Training team, you will help build the next generation of production-grade foundation models for human-centric video generation.You will join a highly focused team working at the intersection of large-scale generative modeling, distributed systems, and production engineering. Our mission is to develop and optimize video base models that power realistic, controllable, and emotionally expressive synthetic humans at scale.This is not pure research. This is applied research with direct product impact.You will work on advancing training recipes, scaling distributed systems, improving evaluation frameworks, and optimizing inference to ensure our models are high quality, stable, and efficient enough for real-world deployment. Your work will directly influence models used by tens of thousands of businesses worldwide.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What you’ll do</h3>You will own and execute end-to-end research and engineering projects, from hypothesis to production impact. This includes:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Developing and scaling latent video diffusion models tailored for human-centric video generation</li><li class="leading-relaxed">Designing conditioning mechanisms to improve control (pose, emotion, script, camera) without sacrificing fidelity</li><li class="leading-relaxed">Advancing distributed training strategies (DDP, FSDP, DeepSpeed, sequence parallelism) under real compute constraints</li><li class="leading-relaxed">Improving training stability at multi-node scale</li><li class="leading-relaxed">Designing rigorous evaluation frameworks combining automated metrics and structured human evaluation</li><li class="leading-relaxed">Optimizing inference for low latency, high resolution, and cost efficiency</li><li class="leading-relaxed">Running controlled ablations and experiments to drive high-signal modeling decisions</li><li class="leading-relaxed">Contributing to high engineering standards: reproducibility, experiment tracking, CI/CD, monitoring</li></ul>You will be expected to move fast, run multiple hypotheses in parallel, identify signal early, and focus on outcomes rather than exploration for its own sake.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What we’re looking for</h3><h4 class="text-lg md:text-xl font-semibold mt-6 mb-2 text-gray-800">Must-have</h4><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Strong experience training deep learning models at scale</li><li class="leading-relaxed">Strong Python and PyTorch skills</li><li class="leading-relaxed">Hands-on experience with diffusion models (image domain required; video preferred)</li><li class="leading-relaxed">Experience with large scale multi-GPU / multi-node training</li><li class="leading-relaxed">Good understanding of distributed training (DDP, FSDP, DeepSpeed or similar)</li><li class="leading-relaxed">Ability to design controlled experiments and interpret noisy results</li></ul><h4 class="text-lg md:text-xl font-semibold mt-6 mb-2 text-gray-800">Nice-to-have</h4><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience with video diffusion models</li><li class="leading-relaxed">Experience in avatar or human-centric generation</li><li class="leading-relaxed">Familiarity with world / interactive models</li><li class="leading-relaxed">Experience with GANs or VAEs</li><li class="leading-relaxed">Experience optimizing inference systems for production</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Our stack</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Python, PyTorch, CUDA</li><li class="leading-relaxed">DeepSpeed, distributed training & inference</li><li class="leading-relaxed">Sequence parallelism</li><li class="leading-relaxed">AWS, SLURM, Docker</li><li class="leading-relaxed">GitHub, CI/CD pipelines</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Who you are</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">You are research-driven but outcome-focused</li><li class="leading-relaxed">You care about shipping, not just publishing</li><li class="leading-relaxed">You can explore multiple ideas quickly and drop low-signal directions early</li><li class="leading-relaxed">You communicate clearly and present results scientifically</li><li class="leading-relaxed">You operate independently but collaborate actively across teams</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Why join us?</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Build production-scale video foundation models in a fast-growing Generative AI company</li><li class="leading-relaxed">Work on human-centric video generation with real-world impact</li><li class="leading-relaxed">Tackle hard problems in scaling, stability, and controllability</li><li class="leading-relaxed">Influence the direction of next-generation synthetic human technology</li><li class="leading-relaxed">Join a highly technical, high-ownership environment where your work ships</li></ul>If you want to work on cutting-edge generative video models and see your research power real-world products, we’d love to talk.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Our culture</h3>At 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.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Serving 50,000+ customers (and 50% of the Fortune 500)</h3>We’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.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Proprietary AI technology</h3>Since 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.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">AI Safety, Ethics and Security</h3>AI 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.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">The good stuff...</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Competitive compensation (salary + stock options + bonus)</li><li class="leading-relaxed">Fully remote from Europe or hybrid work setting with an office in London, Amsterdam, Zurich, Munich</li><li class="leading-relaxed">25 days of annual leave + public holidays</li><li class="leading-relaxed">Great company culture with the option to join regular planning and socials at our hubs</li><li class="leading-relaxed">+ other benefits depending on your location</li></ul>You can see more about Who we are and How we work here: https://www.synthesia.io/careers

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As a Technical Success Manager (TSM) at New Relic, you will leverage your technical knowledge and problem-solving skills to manage and grow our customer base. You will own the technical success and post-sales relationships for valued customers, ensuring their adoption, onboarding, and continued optimization of New Relic’s products. This role involves partnering with sales, providing product feedback, and maintaining a deep understanding of customer environments to drive platform adoption and renewals.

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We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us!Your opportunityAs a Technical Success Manager (TSM) at New Relic, you can optimize your blend of technical knowledge, problem solving skills, and teamwork to take care of and grow our customer base in a meaningful way. While you will work closely with our larger account teams, at New Relic a TSM is more than a technical resource to the sales team. You will own the technical success and post sales relationships for our valued customers. You will nurture New Relic’s strategic direction and vision, as well as promote and support new product directions on behalf of your customers.You will be customer-obsessed to ensure our customers become lifelong proponents of the New Relic platform and will help achieve this by owning technical relationships, solving technical problems in real-time, and owning own your account base from a technical perspective.What you'll do<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Own customer adoption, onboarding, and continued success at your customer base.</li><li class="leading-relaxed">Document adoption and success</li><li class="leading-relaxed">Lead all aspects of the adoption, optimization, and integration of New Relic’s products within customers’ business infrastructure</li><li class="leading-relaxed">Be a joint partner with Sales to identify revenue opportunities through the upsell of new services and contract renewals</li><li class="leading-relaxed">Voice support for new product features & provide customer feedback to New Relic product management and engineering groups</li><li class="leading-relaxed">Maintain a deep understanding of the customer’s business as well as their technical environment</li><li class="leading-relaxed">Lead interactive product demonstrations for diverse audiences, showcasing key workflows and answering real-time technical inquiries to drive platform adoption.</li><li class="leading-relaxed">As this is a field-based role you will need to enjoy some travel, extensive travel opportunities for those that want to.</li></ul>This role requires<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">3+ years of pre or post sales experience within the software industry</li><li class="leading-relaxed">2+ years of demonstrated pre or post sales experience working with enterprise customers</li><li class="leading-relaxed">Strong technical background and sales/customer orientation</li><li class="leading-relaxed">A desire to learn new technologies</li><li class="leading-relaxed">An interest in or previous experience of performance monitoring tools (infrastructure, application, web or mobile, user experience)</li><li class="leading-relaxed">Ability to keep up to date project plans and documentation.</li><li class="leading-relaxed">Fluent in English</li></ul>Bonus points if you have<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Familiarity in one or more of the following development languages - Java, .Net, Ruby, C, Python, Node.js, Golang</li><li class="leading-relaxed">Exposure to and/or interest in cloud technologies: Kubernetes, containers, microservices, DevOps, CI/CD</li><li class="leading-relaxed">Background in mobile device platforms & architectures (IOS & Android)</li><li class="leading-relaxed">Bachelor's degree in Engineering/Computer Science or equivalent desirable</li></ul>Please note that visa sponsorship is not available for this position.#LI-GK1 #LI-RemoteThe pay range below represents a reasonable estimate of the on target earnings (salary plus target sales incentives) for the listed position. This role is eligible for a commission plan (as defined in the sales incentive plan document). Pay within this range varies by work location and may also depend on job-related factors such as an applicant’s skills, qualifications, and experience.New Relic provides a variety of benefits for this role, including healthcare, dental, vision, parental leave and planning, mental health benefits, a 401(k) plan and match, flex time-off, 11 paid holidays, volunteer time off, and other competitive benefits designed to improve the lives of our employees.Estimated On-Target Earnings Range$177,000 - $221,000 USDFostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics’ different backgrounds and abilities, and recognize the different paths they took to reach us – including nontraditional ones. 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Note: Our stewardship of the data of thousands of customers means that a criminal background check is required to join New Relic.We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the <a href="https://sfgov.org/olse/sites/default/files/FCO%20poster2020.pdf" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">San Francisco Fair Chance Ordinance</a>.Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic.New Relic develops and distributes encryption software and technology that complies with U.S. export controls and licensing requirements. 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