Top AI Research Scientist Jobs Openings in 2025

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About Rad AIAt Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.If you’re ready to shape the future of healthcare, we’d love to have you on our team!Why Join Us?We’re on a mission to build cutting-edge AI systems that empower radiologists and improve patient care. As a Research Scientist on our Machine Learning team, you’ll work at the intersection of speech modeling, machine learning, and healthcare, interfacing with our partners to design and deploy state-of-the-art ASR and speech-based models that solve real-world healthcare challenges. This is a high-impact role where your work will directly influence clinical workflows and improve physician efficiency at scale.What You’ll Do:Develop advanced speech processing pipelines and quality assurance systems for medical dictation workflows.Research offline speech processing capabilities and edge computing solutions for clinical environmentsTackle complex challenges unique to healthcare and radiology, such as converting dictated speech into structured data, enabling real-time clinical decision support, or building voice interfaces.Work closely with vendor relationships to enhance integration and performance metricsDrive Applied Research: Stay current with cutting-edge research in speech and audio ML, design experiments, and prototype ideas that can be translated into production. ​​What We’re Looking For:MS or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field, or equivalent practical experience 2+ years of post-degree experience building models in ML Speech technologies such as Automated Speech Recognition/Speech-to-Text (ASR/STT), or Text-to-Speech (TTS)Strong experience working with transformer-based speech models such as Whisper.Proficiency with Python and deep learning frameworks like PyTorchFamiliarity with open-source libraries such as ESPnet, HuggingFace Transformers, torchaudio, or KaldiExperience deploying speech or audio models in production settingsExperience working with and curating large audio datasets.Bonus Points For:PhD, or research background in speech ML, signal processing, or voice-based interfacesExperience working in healthcare, regulated environments, or HIPAA-compliant systemsPublications in top-tier ML or speech-specific conferences (e.g., INTERSPEECH, ICASSP, NeurIPS) Experience working in early-stage startups or fast-paced R&D teams Familiarity with cloud platforms (AWS, GCP) and modern ML ops toolchainsJoin our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:Comprehensive Medical, Dental, Vision & Life insuranceHSA (with employer match), FSA, & DCFSA 401(k)11 Paid Company HolidaysLocation Flexibility (Remote-first company!)Flexible PTO policyAnnual company-wide offsitePeriodic team offsitesAnnual equipment stipendFor roles based outside the US, your recruiter can share more detailsAt Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.

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About the role and teamAs a Research Engineer on our Multimodal team, you’ll be a self-motivated, resourceful contributor with full-stack machine learning expertise—from data collection and training state-of-the-art models to building evaluations, optimizing inference algorithms, and refining systems based on user feedback.In this role, you'll take end-to-end ownership of developing new multimodal Audio capabilities, requiring you to think holistically about every stage of the ML pipeline. You'll need to be comfortable working across the full stack, tackling challenges at any level—from designing data pipelines to fine-tuning models and deploying real-time inference. If you thrive in an environment where you can wear multiple hats and solve complex problems with a hands-on approach, we’d love to hear from you.What you'll doDetermine the type of training data we need, finding where we can collect it, and writing distributed data gathering pipelines to ingest data.Develop new model architectures that push the state-of-the-art in terms of quality, scale, and inference speed.Create new evaluations that capture different aspects of generative outputsWrite fast inference algorithms to serve these models at scale.Work with product teams to integrate feedback mechanisms into the product, which we use to improve the model.Work with large scale multimodal datasets.Who you are"All Industry Levels": at least PhD (or equivalent) research experience.Experiences in large scale audio data processing, and transformer model training.Strong engineering skills in deep learning frameworks of PyTorch.Track record of releases, publications, and/or open source projects related to transformer model training.Have a deep understanding of the “whole stack” and track record of successfully owning projects from start to finish when it comes to designing, training, evaluating and deploying machine learning models, especially large language models.About Character.AICharacter.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.

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We are seeking an Applied Research Scientist to join the Pika AI team. In this role, you will focus on developing advanced AI tools leveraging our foundation models. You will collaborate closely with researchers, product designers, and engineers to develop models that deliver exceptional visual effects, character replacement, style transformations, and more, ensuring seamless integration into production environments. Ideal candidates are passionate about cutting-edge applied AI techniques, including multi-modal video models, video super-resolution, conditional video generation, video editing, inpainting, and controllable generation. Position Responsibilities Develop innovative video applications, including controllable generation, video editing, and consistent character generation. Design and build robust data pipelines essential for powering these applications. Collaborate with product and design teams to translate state-of-the-art algorithms into user-friendly product features, enhancing the experience for tens of millions of users. Position Requirements 6 year+ experience working on computer vision, machine learning or related fields. Demonstrated experience with diffusion models, GANs, VAEs, or other relevant AI models. Direct experience working with vision transformers. Experience working on multi-modal video models. Strong engineering practices with proficiency in PyTorch, covering data processing, model training, and deployment workflows. Hands-on experience developing applications based on foundational video models, including video inpainting, controllable generation, and human-centric modeling. Proven expertise in large-scale data processing, dataset construction, and automated data cleaning. (Optional) Solid coding abilities and a strong grasp of algorithm fundamentals; familiarity with distributed training tools such as FSDP or DeepSpeed is a plus.

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We are seeking a Senior Research Associate to join our team working at the interface of generative AI and biology. The ideal candidate is experienced in molecular biology, biochemistry, mammalian cell culture, and high-throughput screening methods. You will work both collaboratively and independently with teammates to develop and execute screening assays to functionally test and characterize novel proteins designed using our proprietary models .This is an opportunity to help shape and grow an organization that advances artificial intelligence and applies it to longstanding scientific challenges. This role requires strong technical capability, adaptability, organizational and communication skills, as well as ability to work independently and collaboratively in a dynamic team-oriented environment. Who You Are:You are a skilled experimental biologist. You have a Bachelor’s degree in molecular/cell biology, biochemistry, or a related field with two years of industry or academic research experience in the above field(s); or Master’s degree in molecular/cell biology, biochemistry, or a related fieldYou have experience with assay development. You have at least one year of experience scoping, developing, and running experimental assays to answer scientific questions (e.g. yeast or mammalian display to study protein-protein interactions). You are able to work with assays in a variety of systems and organisms (e.g. mammalian cell lines, yeast, bacterial, phage, or in vitro) and can independently execute and troubleshoot experimentsYou have experience with high throughput workflows. You have experience with cell-based assays, molecular cloning, flow cytometry/FACS, and/or next-generation sequencing in biotechnology industry settings. You have experience with high-throughput biology methods as well as laboratory automation.You are used to managing large amounts of data. You have experience using and improving LIMS, Benchling or similar tools, to manage samples and data from high-throughput experimentsYou have strong scientific communication skills. You have experience successfully working as part of a cross-functional collaborative scientific team and you have strong scientific communication skills.You are a mission driven innovator. You are passionate about making a positive impact on the world, whether it's for patients, partners or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies. You are interested in new and innovative ways to engineer biology while leveraging existing knowledge and expertise.You thrive in a dynamic and ambiguous environment. You excel in a fast-paced setting where goals must be achieved efficiently and urgently. You have a keen eye with high attention-to-detail for creating, then optimizing processes to improve speed and repeatability. You are an advocate for lab automation, both through hardware and software.What Sets You Apart (preferred but not required):You are a data scientist. Proficiency with data analysis and handling using R, JMP, SQL, and other software tools such as python and python notebooks.You’ve worked in a young biotech before. You have worked in startups and helped the company set up new workflows and processesYou have experience with developing and testing antibodies or nanobodiesYou have experience in research-scale protein production (preferably in high throughput) and are proficient with biophysical assays such as BLI or SPR.Your Responsibilities:High-throughput assay development and execution :Help develop and execute high-throughput functional assays, cell culture, and molecular biology and biochemistry workflows to characterize and validate novel protein designsScope and integrate high-throughput wet- and dry-lab tools into experimental workflowsContribute to development and improvement of high-throughput screening platformDetailed, accurate, and timely documentation of experimental procedures and parameters and handoff of data and analysis results to stakeholdersRegular communications of experimental outcomes and analysis results to team members and stakeholdersSelf development:Stay on top of relevant developments in synthetic biologyContinue building your understanding of generative AI as well as expanded areas of protein and cell biologyParticipate in knowledge sharing, e.g. organize and present at our internal reading group.Attend and present at conferences when relevant.Apply:We offer strongly competitive compensation and benefits packages, including:Private health insurancePension/401(K) contributionsGenerous leave policies (including gender neutral parental leave)Travel opportunities and moreWe also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

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About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the Role As a Research Scientist specializing in Generative AI, you will contribute to advancing the frontiers of language and vision intelligence through research in Large Language Models (LLMs),  Vision-Language Models (VLMs), and Reinforcement Learning (RL) for real-world applications. You will also contribute to Appier’s core AI capabilities and drive publications in top AI/ML conferences. This role offers the opportunity to work on high-impact research and collaborate with a cross-functional team of scientists and engineers in a dynamic, innovation-driven environment.   Responsibilities Design and implement novel algorithms and architectures for LLMs, VLMs, and RL with both research and product impact. Conduct experiments to improve the performance, efficiency, and scalability of generative models across language and vision tasks.  Analyze experimental results, contribute to internal knowledge, and optionally publish key findings in leading AI/ML conferences. Collaborate with cross-functional teams to integrate models into real-world applications.  Continuously review recent publications and preprints in the field, and evaluate their relevance to Appier’s product roadmap. Drive innovation within the team by proposing and exploring new research directions and ideas. About You Minimum Qualifications Master’s degree or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or a related field, with research experience in AI, ML, or related technical areas. Solid understanding of modern AI models and algorithms, with expertise in at least one of the following: LLMs, computer vision (CV), multimodal models (VLMs), or RL. Candidates should have experience utilizing LLMs for research or product prototyping. Familiarity with AI-assisted coding tools (e.g., Vibe coding) is a plus. Proficient coding skills in Python and hands-on experience with machine learning frameworks like PyTorch. Able to build and optimize models effectively. Strong ability to analyze model behavior, diagnose bottlenecks, and improve training pipelines. Clear communication skills and a team-first attitude. Able to explain technical ideas to both technical and non-technical teammates, and enjoy working in a fast-paced, collaborative environment. Preferred Qualifications Experience in academic research, with publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ACL). Proven ability to work well in teams and drive research projects from idea to implementation. Contributions to open-source projects or involvement in research communities. Passion for pushing the frontier of generative AI and bridging research with impactful real-world applications.   #L1-RL1

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About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the TeamThe Research team at Decagon innovates on building the most advanced conversational AI agents for enterprise customers. Decagon’s AI agents understand context, respond with genuine empathy, and solve complex problems with surgical precision.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleOn the Research team, you’ll be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. You will design and implement state of the art methods for instruction tuning and information retrieval. We're looking for people with strong engineering skills, writing bug-free machine learning code, and building the science behind the algorithms that power our AI agents.Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges, builds elegant solutions that scale to millions of users, and creates automation that prevents problems before they happen.In this role, you willDevelop models for customer support tasks that exceed the performance of closed source modelsExperiment with small open-source models to drive order of magnitude reductions in latency across channelsBreak down ambiguous research ideas into clear, iterative milestones and roadmaps.Your background looks something like this3+ years of experience in AI/ML engineering or research.Proven track record of working on AI/ML projects from concept to production.Experience fine-tuning and deploying LLMs in production environments.Prior experience working with multi-modal modelsBenefits:Medical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$250K – $415K + Offers Equity

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🎨 OpusClip is the world's No.1 AI video agent for social media.OpusClip is the world's No.1 AI-first video editing tool built for authenticity with no editing skills required. Just 1 click to turn long-form content into viral-ready short clips for social media. Our mission is to effortlessly transform your content into authentic, high-quality videos. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence. We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more. Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. Headquartered in Palo Alto, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values: Be a Champion Team Prioritize Ruthlessly Ship fast, Quality Follows Obsess over customers Be a part of this exciting journey with us!Overview:📝 ResponsibilitiesAssist in developing and refining a language model pipeline for video understanding.Support the design and implementation of cutting-edge NLP/CV models or features to enhance our product's video comprehension capabilities.Participate in research and demonstrations exploring the latest Large Language Models (LLMs) and their applications.📝 QualificationsPursuing or recently completed a Master’s degree in Computer Science or a related field.Fluent in English, with strong verbal, written, and technical communication skills.Experienced in Transformers, BERT, GPT-x, or other LLMs finetuning & deployment, skill in prompt engineering is also a bonus.Proficient with PyTorch or TensorFlow, with expertise in Multi-modal/Video related deep learning models.Basic programming knowledge in Python, C++, or JavaScript.Enthusiastic, excellent communicator, self-motivated, and possessing a sense of ownership.📝 Preferred skillsInvolvement in projects from inception to completion.Strong coding fundamentals.Keen interest in the future of GPT-x and experience or interest in developing APIs/services/open-source projects with ChatGPT, Claude, Gemini etc.Academic background or interest in:Video understanding.LLM fine-tuning/multimodal systems.Prompt Engineering.Involvement or interest in academic research, with a focus on top-tier conferences like NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, AAAI, MM etc.📝 What OpusClip Offers:Support in publishing papers.Remote work available, 4+ days/week preferred¥400/day for remote; ¥500/day for onsiteEEOOpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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