Top Research Scientist Jobs Openings in 2025

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Your New Role and TeamSanctuary, a world leader in building AI-based control systems for humanoid robots, is seeking a Staff Research Scientist to join our team in engineering and innovating unique robotic manipulation tasks. As a Staff Research Scientist, your role will involve choosing the most cutting-edge methods, creating training and data collection systems, overseeing the evaluation of these algorithms in simulated environments, and implementing them on our robots in real-world situations. You will also enjoy the exclusive chance to make a meaningful impact by working with novel haptic and proprioceptive sensing techniques, thanks to our in-house robot with dexterous hands. Success CriteriaCreate, develop, and enhance cutting-edge Reinforcement Learning (RL) and Imitation Learning (IL) algorithms and evaluate their performance in practical applicationsStay current with the latest developments in RL/IL techniques and their application in roboticsIdentify, communicate, and lead research initiatives that show promise to the wider ML teamDiscover strategies for enhancing current RL/IL learning processes, considering key performance metrics like sample efficiency, speed, computational resources, and scalabilityDevise RL/IL training and data collection pipelines to expedite implementation on physical robotsCollaborate within a diverse team to devise innovative algorithms and investigate the root causes of errors in existing implementations Your ExperienceQualificationsPh.D. in Machine Learning, Computer Science, Applied Mathematics, or equivalent practical background in Reinforcement Learning and/or Imitation Learning 5+ years of hands-on experience implementing and deploying robotic manipulation tasks, both in simulation and on physical robots5+ years of practical experience applying various Reinforcement Learning and/or Imitation Learning methods, with focus on robotics in the real world4+ years experience in developing and optimizing large-batch parallel simulations for Reinforcement LearningProven expertise in continual learning, employing adaptive model training to improve long-term performance and accuracyProven expertise in sim-to-real transferExperience in transitioning Machine Learning research and trained models into real-world productionActive involvement in integrating Machine Learning models into a robotics platformA track record of publishing research in esteemed AI conferences such as ICRA, IROS and CORL SkillsDevelopment with Python 3.8 or laterWorking knowledge of PyTorch and/or TensorFlowFamiliarity with ROS2Expertise in use of Reinforcement Learning principles and their applicationExperience with Atlassian tools; Jira, Confluence, or equivalent i.e. GitLab TraitsAbove all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problemsStrong leadership skills in organizing R&D work for ML projectsEager to take on new challenges with tenacity and positivityPatience, persistence, and attention to detail when resolving performance issuesEnthusiasm for bringing human-like intelligence to machinesAbility to drive development of new functionalities from concept to productionAbility to multitask and prioritize in a fast paced environment

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About Mistral At Mistral we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation, with teams distributed between Europe, the USA and Asia. We are creative, low-ego and team-spirited. At Mistral, we develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit. Mistral is hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI. What will you do • Research and develop novel methods to push the frontier of large language models• Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)• Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale• Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact About you • You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)• You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)• You have high engineering competence. This means being able to design complex software and make it usable in production• You are a self-starter, autonomous and a team player Now, it would be ideal if • You have hands-on experience with training large transformer models in a distributed fashion• You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment • You have a strong publication record in a relevant scientific domain Note that this is not an exhaustive or necessary list of requirements. Please consider applying if you believe you have the skills to contribute to Mistral's mission. We value profile and experience diversity. Benefits 💰 Competitive cash salary and equity🥕 Food : Monthly meal allowance🥎 Sport : Monthly contribution to a Gympass subscription💰 Private pension plan

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About Mistral At Mistral we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation, with teams distributed between Europe, the USA and Asia. We are creative, low-ego and team-spirited. At Mistral, we develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit. Mistral is hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI. What will you do • Research and develop novel methods to push the frontier of large language models• Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)• Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale• Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact About you • You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)• You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)• You have high engineering competence. This means being able to design complex software and make it usable in production• You are a self-starter, autonomous and a team player Now, it would be ideal if • You have hands-on experience with training large transformer models in a distributed fashion• You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment • You have a strong publication record in a relevant scientific domain Note that this is not an exhaustive or necessary list of requirements. Please consider applying if you believe you have the skills to contribute to Mistral's mission. We value profile and experience diversity. Benefits 💰 Competitive cash salary and equity🥕 Food : Monthly meal allowance🥎 Sport : Monthly contribution to a Gympass subscription💰 Private pension plan

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About UsTavus is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today’s systems. Our real-time human simulation models let machines see, hear, respond, and even look real—enabling meaningful, face-to-face conversations. AI Humans combine the emotional intelligence of humans with the reach and reliability of machines, making them capable, trusted agents available 24/7, in every language, on our terms.Imagine a therapist anyone can afford. A personal trainer that adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. With Tavus, individuals, enterprises, and developers can all build AI Humans to connect, understand, and act with empathy at scale.We’re a Series A company backed by world-class investors including Sequoia Capital, Y Combinator, and Scale Venture Partners.Be part of shaping a future where humans and machines truly understand each other.The Role We’re hiring a Senior AI Researcher to lead foundational research at the intersection of multimodal modeling and conversational AI. You'll build multimodal models that model interactions between the user and the human like avatar to predict/control the audio/visual/language responses of the avatar. This isn’t a role for someone who just wants to follow the roadmap. You’ll help create it by steering our technical direction and shaping what the next generation of AI Human avatars looks like.Your Mission 🚀Lead research on Foundational Multimodal Models for Conversational Avatars — systems that can perceive, reason, and generate across video, audio, and language.Build and train models using Autoregressive, Predictive (e.g., V-JEPA), and Diffusion-based architectures with a deep focus on temporal and sequential data (not static frames).Design and execute experiments to predict and control the visual, auditory, and linguistic responses of avatars.Partner with the Applied ML team to bring research into real-world use cases.Mentor other researchers and drive excellence across the team.You’ll Bring:A PhD plus 2–3+ years working hands-on with LLMs, VLMs, or multimodal systems.Previous experience leading research efforts or mentoring teams.Expertise in sequence modeling across video, audio, and text — with strong understanding of autoregressive, predictive, and diffusion frameworks.Experience with large-scale model training and optimization for performance and real-time generation.Proven ability to translate research ideas into production-grade systems.Publications in top-tier venues (CVPR, ICCV, NeurIPS, ECCV, ACMMM).Strong PyTorch skills and comfort moving fluidly between research and engineering.Nice-to-HavesBroad familiarity with generative AI paradigms and foundation models.Comfort working across the full research–to–deployment stack.A builder’s mindset: eager to experiment, iterate, and ship.Location Preferred: San Francisco (hybrid) or London (office opening soon). Remote within the U.S. or Europe available for exceptional candidates.Benefits & CultureWhen you join Tavus, you’re joining a diverse and supportive team. Our work is driven by our people, and our success is shared by all. This position has a flexible work schedule, unlimited PTO, competitive healthcare, and gear stipends, as well as plenty of fun. At the end of the day, we want Tavus to be a place for you to learn, directly drive impact, and work with a team you love.Tavus is growing fast, and we’d like you to grow with us. If you’re excited to get your hands dirty and help make machines more human, drop your resume and we’ll be in touch.We are not looking for cultural fits, we are looking for culture creators. Diversity is what drives our success – it’s at the core of how we hire, communicate, and work. We are inclusive to all and combine our diverse backgrounds, skill sets, and perspectives to build the best experiences for our clients.

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About SesameSesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice companions part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.About the RoleVision understanding is a critical addition to conversational AI, bridging the gap between speech and the physical world. We’re looking for a skilled engineer or researcher to build high-value synthetic data pipelines that accelerate vision model development. The ideal candidate will be fluent in classical computer vision techniques while also comfortable leveraging modern machine learning tools across the stack: from neural rendering and diffusion-based image synthesis to transfer learning, domain adaptation, and data-centric evaluation. You’ll collaborate with research, hardware, and product teams to build capture, generation, and rendering systems that combine physical accuracy with visual realism—delivering datasets and simulators that measurably improve downstream computer vision tasks.Responsibilities:Build and maintain synthetic data generation pipelines (e.g., neural rendering, diffusion/score-based models, controllable generative priors, procedural assets) with levers for pose, expression, illumination, materials, and sensor characteristics.Apply transfer learning and domain adaptation (self-supervised pretraining, style/appearance transfer, sim-to-real) to bridge distribution gaps between synthetic and real data.Integrate off-the-shelf and open-source components where practical; fine-tune or distill models to meet latency, memory, and quality targets on target hardware.Stand up end-to-end systems—from capture and calibration to generation, data curation, quality gates, rendering/evaluation suites, and deployment.Define dataset and model evaluation frameworks (coverage, bias, sim-to-real gap, task-level KPIs such as gaze error) and iterate based on quantitative results.Survey literature across graphics, vision, and generative ML; prototype, adapt, and, where needed, invent new approaches that push facial reconstruction, appearance modeling, and synthetic data quality forward.Required Qualifications:Demonstrated experience with 3D reconstruction, photorealistic rendering, appearance modeling, or synthetic data generation for vision tasks.Ability to navigate and deliver results in high-ambiguity, open-ended problem spaces.Familiarity with large-scale, multi-camera datasets and the practicalities of curation, annotation, and evaluation.Excellent communication skills and the ability to work collaboratively across disciplines.Bachelor’s degree or higher in computer graphics, vision, imaging, machine learning, or a related field.Preferred Qualifications:Master’s or Ph.D. in a relevant disciplineHands-on experience training or adapting neural rendering models (e.g., NeRF/3DGS variants, relighting, inverse rendering) and modern generative models (e.g., diffusion/latent diffusion, controllable text-to-image/video, inpainting/outpainting).Proficiency in PyTorch, JAX, or other modern ML frameworks.Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities—contact careers@sesame.com for assistance.Full-time Employee Benefits: 401k matching100% employer-paid health, vision, and dental benefits Unlimited PTO and sick time Flexible spending account matching (medical FSA) Benefits do not apply to contingent/contract workers

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About Handshake AIHandshake is building the career network for the AI economy. Our three-sided marketplace connects 18 million students and alumni, 1,500+ academic institutions across the U.S. and Europe, and 1 million employers to power how the next generation explores careers, builds skills, and gets hired.Handshake AI is a human data labeling business that leverages the scale of the largest early career network. We work directly with the world’s leading AI research labs to build a new generation of human data products. From PhDs in physics to undergrads fluent in LLMs, Handshake AI is the trusted partner for domain-specific data and evaluation at scale.This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.Now’s a great time to join Handshake. Here’s why:Leading the AI Career Revolution: Be part of the team redefining work in the AI economy for millions worldwide.Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs.World-Class Team: Leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, just to name a few.Capitalized & Scaling: $3.5B valuation from top investors including Kleiner Perkins, True Ventures, Notable Capital, and more.About the RoleAs a Staff Research Scientist, you will play a pivotal role in shaping the future of large language model (LLM) alignment by leading research and development at the intersection of data quality and post-training techniques such as RLHF, preference optimization, and reward modeling.You will operate at the forefront of model alignment, with a focus on ensuring the integrity, reliability, and strategic use of supervision data that drives post-training performance. You’ll set research direction, influence cross-functional data standards, and lead the development of scalable systems that diagnose and improve the data foundations of frontier AI.You will:Lead high-impact research on data quality frameworks for post-training LLMs — including techniques for preference consistency, label reliability, annotator calibration, and dataset auditing.Design and implement systems for identifying noisy, low-value, or adversarial data points in human feedback and synthetic comparison datasets.Drive strategy for aligning data collection, curation, and filtering with post-training objectives such as helpfulness, harmlessness, and faithfulness.Collaborate cross-functionally with engineers, alignment researchers, and product leaders to translate research into production-ready pipelines for RLHF and DPO.Mentor and influence junior researchers and engineers working on data-centric evaluation, reward modeling, and benchmark creation.Author foundational tools and metrics that connect supervision data characteristics to downstream LLM behavior and evaluation performance.Publish and present research that advances the field of data quality in LLM post-training, contributing to academic and industry best practices.Desired CapabilitiesPhD or equivalent experience in machine learning, NLP, or data-centric AI, with a track record of leadership in LLM post-training or data quality research.5 years of academic or industry experience post-docDeep expertise in RLHF, preference data pipelines, reward modeling, or evaluation systems.Demonstrated experience designing and scaling data quality infrastructure — from labeling frameworks and validation metrics to automated filtering and dataset optimization.Strong engineering proficiency in Python, PyTorch, and ecosystem tools for large-scale training and evaluation.A proven ability to define, lead, and execute complex research initiatives with clear business and technical impact.Strong communication and collaboration skills, with experience driving strategy across research, engineering, and product teams.Extra CreditExperience with data valuation (e.g. influence functions, Shapley values), active learning, or human-in-the-loop systems.Contributions to open-source tools for dataset analysis, benchmarking, or reward model training.Familiarity with evaluation challenges such as annotation disagreement, subjective labeling, or multilingual feedback alignment.Interest in the long-term implications of data quality for AI safety, governance, and deployment ethics.PerksHandshake delivers benefits that help you feel supported—and thrive at work and in life.The below benefits are for full-time US employees.🎯 Ownership: Equity in a fast-growing company💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching🍼 Family Support: Paid parental leave, fertility benefits, parental coaching💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend📚 Growth: $2,000 learning stipend, ongoing development💻 Remote & Office: Stipends for home office setup, internet, commuting, and free lunch/gym in our SF office🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days, winter #ShakeBreak where our whole office closes for a week!🤝 Connection: Team outings & referral bonusesExplore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.

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About Handshake AIHandshake is building the career network for the AI economy. Our three-sided marketplace connects 18 million students and alumni, 1,500+ academic institutions across the U.S. and Europe, and 1 million employers to power how the next generation explores careers, builds skills, and gets hired.Handshake AI is a human data labeling business that leverages the scale of the largest early career network. We work directly with the world’s leading AI research labs to build a new generation of human data products. From PhDs in physics to undergrads fluent in LLMs, Handshake AI is the trusted partner for domain-specific data and evaluation at scale.This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.Now’s a great time to join Handshake. Here’s why:Leading the AI Career Revolution: Be part of the team redefining work in the AI economy for millions worldwide.Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs.World-Class Team: Leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, just to name a few.Capitalized & Scaling: $3.5B valuation from top investors including Kleiner Perkins, True Ventures, Notable Capital, and more.About the RoleAs a Staff Research Scientist, you will drive frontier research on how we define intelligence of frontier models, i.e. develop benchmarks and measurements that help the research community to understand how large language models (LLMs) understand, reason, and interact with human knowledge. You will:Lead teams of researchers to produce original research in LLM evaluation methodologies, interpretability, and human-AI knowledge alignment.Develop novel frameworks and assessment techniques that reveal deep insights into model capabilities, limitations, and emergent behaviors.Collaborate with engineers to translate research breakthroughs into scalable benchmarks, evaluation systems, and standards.Pioneer new approaches to measuring reasoning, alignment, and trustworthiness in frontier AI systems.Author high-quality code to enable large-scale experimentation, reproducible evaluation, and knowledge assessment workflows.Publish in top-tier conferences and journals, establishing new directions in the science of AI evaluation.Work cross-functionally with leadership, engineers, and external partners to set industry standards for responsible AI evaluation and alignment. Desired CapabilitiesPhD or equivalent research experience in machine learning, computer science, cognitive science, or related fields with focus on AI evaluation, interpretability, or model understanding.6+ years of academic or industry experience post-doc in a research-first environmentStrong background in LLM research, evaluation methodologies, and/or foundational AI assessment techniques.Proven ability to independently design, lead, and execute evaluation research programs with novel data types end-to-end.Deep proficiency in Python and PyTorch for large-scale model analysis, benchmarking, and evaluation.Experience building or leading novel benchmark development, systematic model assessment, or interpretability studies.Strong publication record in post-training, evaluation, or interpretability that demonstrates field-defining contributions.Ability to clearly communicate complex insights and influence both technical and non-technical stakeholders.Extra CreditExperience with RLHF, agent modeling, or AI alignment research.Familiarity with data-centric AI approaches, synthetic data generation, or human-in-the-loop systems.Understanding of challenges in scaling foundation models (training stability, safety, inference efficiency).Contributions to open-source libraries or research tooling.Interest in the societal impact, deployment ethics, and governance of frontier AI systems.PerksHandshake delivers benefits that help you feel supported—and thrive at work and in life.The below benefits are for full-time US employees.🎯 Ownership: Equity in a fast-growing company💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching🍼 Family Support: Paid parental leave, fertility benefits, parental coaching💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend📚 Growth: $2,000 learning stipend, ongoing development💻 Remote & Office: Stipends for home office setup, internet, commuting, and free lunch/gym in our SF office🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days, winter #ShakeBreak where our whole office closes for a week!🤝 Connection: Team outings & referral bonusesExplore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.

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Applications will be reviewed on a rolling basis. We encourage candidates to apply early. The application window will close on October 31stAbout Handshake AIHandshake is building the career network for the AI economy. Our three-sided marketplace connects 18 million students and alumni, 1,500+ academic institutions across the U.S. and Europe, and 1 million employers to power how the next generation explores careers, builds skills, and gets hired.Handshake AI is a human data labeling business that leverages the scale of the largest early career network. We work directly with the world’s leading AI research labs to build a new generation of human data products. From PhDs in physics to undergrads fluent in LLMs, Handshake AI is the trusted partner for domain-specific data and evaluation at scale.This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.Now’s a great time to join Handshake. Here’s why:Leading the AI Career Revolution: Be part of the team redefining work in the AI economy for millions worldwide.Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs.World-Class Team: Leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, just to name a few.Capitalized & Scaling: $3.5B valuation from top investors including Kleiner Perkins, True Ventures, Notable Capital, and more.About the RoleHandshake AI builds the data engines that power the next generation of large language models. Our research team works at the intersection of cutting-edge model post-training, rigorous evaluation, and data efficiency. Join us for a focused Summer 2026 internship where your work can ship directly into our production stack and become a publishable research contribution. To start between May and June 2026.Projects You Could TackleLLM Post-Training: Novel RLHF / GRPO pipelines, instruction-following refinements, reasoning-trace supervision.LLM Evaluation: New multilingual, long-horizon, or domain-specific benchmarks; automatic vs. human preference studies; robustness diagnostics.Data Efficiency: Active-learning loops, data value estimation, synthetic data generation, and low-resource fine-tuning strategies.Each intern owns a scoped research project, mentored by a senior scientist, with the explicit goal of an archive-ready manuscript or top-tier conference submission.Desired CapabilitiesCurrent PhD student in CS, ML, NLP, or related field.Publication track record at top venues (NeurIPS, ICML, ACL, EMNLP, ICLR, etc.).Hands-on experience training and experimenting with LLMs (e.g., PyTorch, JAX, DeepSpeed, distributed training stacks).Strong empirical rigor and a passion for open-ended AI questions.Extra CreditPrior work on RLHF, evaluation tooling, or data selection methods.Contributions to open-source LLM frameworks.Public speaking or teaching experience (we often host internal reading groups).#LI-AG3

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About the RoleWe’re looking for smart, motivated, and curious PhD students to join us next summer or earlier as Research Scientist Interns. This is a unique opportunity to explore new research directions in AI, reinforcement learning, and multi-agent systems while working alongside a small, elite team of researchers and engineers.You will not be constrained to our current product goals, but rather, you will be given the resources needed to accomplish your best work. You will be encouraged to publish your work with us in conferences/journals.QualificationsCurrently pursuing a PhD in Computer Science (AI/ML, NLP, Robotics, etc.), or computational fields in Physics, Chemistry, Biology, Neuroscience, Cognitive Science, etc.Demonstrated ability to design, implement, and evaluate experimentsStrong publication record or evidence of impactful research contributionsStartup-oriented mindset: excited by ambiguity, rapid iteration, and big ideasBonusPublications at top conferences (ICML, ICLR, Neurips, UAI, RSS, CoRL, JMLR, TMLR etc)Experience with large-scale distributed training or inference engines (e.g., DeepSpeed, vLLM, FSDP)Contributions to open-source projects in AI/ML or systems researchCross-disciplinary interests (e.g., neuroscience, human-computer interaction, generative media)What makes us interestingSmall, elite team of ex-founders, researchers from top AI Labs, top CS grads, and engineers from top companiesTrue ownership You will not be blocked by bureaucracy, shipping meaningful work within weeks rather than monthsSerious momentum We're well-funded by top investors, moving fast, and focused on executionWhat we doShip consumer products powered by cutting-edge AI research, andBuild infrastructure that facilitates research and product, andInnovate cutting-edge research that will open up new consumer product formsThe DetailsMinimum 40 hours a week, onsite in Menlo Park (start and end date flexible)Startup hours applyGenerous compensation

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you.com is an AI-powered search and productivity platform designed to empower users with personalized, efficient, and trustworthy search experiences. As a cutting-edge technology company, we combine advanced AI models with user-first principles to deliver tools that enhance discovery, creativity, and productivity. At you.com, we are on a mission to create the most helpful search engine in the world—one that prioritizes transparency, privacy, and user control. We’re building a team of innovators, problem-solvers, and visionaries who are passionate about shaping the future of AI and technology. At you.com, you’ll have the opportunity to work on impactful projects, collaborate with some of the brightest minds in the industry, and grow your career in an environment that values creativity, diversity, and curiosity. If you’re ready to make a difference and help us revolutionize the way people search and work, we’d love to have you join us!  you.com is an AI Infrastructure company and designed to empower customers with the highest quality search and AI tools. At you.com, we are on a mission to create the most helpful search engine in the world—one that prioritizes transparency, privacy, and user control. We’re building a team of innovators, problem-solvers, and visionaries who are passionate about shaping the future of AI and technology. At you.com, you’ll have the opportunity to work on impactful projects, collaborate with some of the brightest minds in the industry, and grow your career in an environment that values creativity, diversity, and curiosity. If you’re ready to make a difference and help us revolutionize the way people search and work, we’d love to have you join us!   About the Role As a Principal Research Scientist at You.com, you will be a visionary to lead pioneering research and development in information retrieval, large-scale data processing, and applied machine learning. This role is ideal for a scientist with a proven track record in both academic and industry settings, who thrives at the intersection of research innovation and real-world impact.   This is a remote position open to candidates based in the United States. We also have co-working spaces in the San Francisco Bay Area and New York.   Responsibilities Drive Research Excellence: Lead and execute cutting-edge research projects in information retrieval, search systems, and natural language processing, with a focus on scalable and efficient algorithms. Innovate at Scale: Architect and optimize large-scale data processing pipelines, leveraging distributed computing frameworks to handle massive datasets efficiently. Open-Source Leadership: Spearhead and contribute to high-impact open-source projects, fostering community engagement and advancing the state of the art in search and data systems. Collaborative Partnerships: Build and maintain strong collaborations with academic institutions, industry partners, and internal product teams to translate research breakthroughs into deployable solutions. Mentorship & Thought Leadership: Mentor junior researchers and engineers, provide technical guidance, and represent the organization at top-tier conferences and workshops. Publication & Dissemination: Author influential research papers, patents, and technical reports; present findings at international venues to establish thought leadership in the field.   Qualifications Extensive experience in search indexing, information retrieval, or large-scale data systems. Strong programming skills in Rust/ C++ (for high performance) and Python Strong publication record in premier conferences and journals Practical experience equivalent or equal to a Ph.D. in Computer Science, Information Retrieval, Machine Learning, or a related field.  Our salary bands are structured based on a combination of geographic tiers and internal leveling. Compensation is determined by multiple factors assessed during the interview process, with the final offer reflecting these considerations.Salary Band$250,000—$350,000 USDCompany Perks: Hubs in San Francisco and New York City offering regular in-person gatherings and co-working sessions Flexible PTO with U.S. holidays observed and a week shutdown in December to rest and recharge* A competitive health insurance plan covers 100% of the policyholder and 75% for dependents* 12 weeks of paid parental leave in the US* 401k program, 3% match - vested immediately!* $500 work-from-home stipend to be used up to a year of your start date* $1,200 per year Health & Wellness Allowance to support your personal goals* The chance to collaborate with a team at the forefront of AI research *Certain perks and benefits are limited to full-time employees only   you.com is an E-Verify employer. We are also an inclusive, equitable, and accessible workplace. Please let us know if you require accommodation for any portion of the recruitment and hiring process.

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Jasper is the leading AI marketing platform, enabling the world's most innovative companies to reimagine their end-to-end marketing workflows and drive higher ROI through increased brand consistency, efficiency, and personalization at scale. Jasper has been recognized as "one of the Top 15 Most Innovative AI Companies of 2024" by Fast Company and is trusted by nearly 20% of the Fortune 500 – including Prudential, Ulta Beauty, and Wayfair. Founded in 2021, Jasper is a remote-first organization with team members across the US, France, and Australia.About The RoleJasper Research is seeking a highly motivated intern to advance the frontiers of open source image-generation and image-editing applications. In this role, you will be instrumental in developing new state-of-the-art open-source text-to-image and image editing models while collaborating closely with our talented team of researchers and engineers. The internship duration is 6 months.We have historically relied on third-party existing open-source image foundational models for its core applications (replace-background, image uncropping, image relighting …), mastering model fine-tuning methods. One of the team’s current core projects consists now of building our own open-weights foundational text-to-image model from scratch.This role is open to candidates located in Paris. It will be a hybrid setup, which requires you to come into the office when necessary. What you will do at JasperAs a Research Scientist Intern, you will work closely with our research team to design and implement new methods to improve the sampling speed of diffusion models, such as, amongst others, re-flow, shortcut models or adversarial diffusion distillation. This role offers a unique opportunity to contribute to the development of a foundational open-source model, addressing challenges in scalability, fidelity, and generalization. You will engage in both theoretical and applied research, collaborating with experts in machine learning, computer vision, and natural language processing. The main goals of this internship are:Research & Development: Conduct literature reviews, propose and implement innovative methods to accelerate the sampling from diffusion models in the context of text-to-image and image editing.Model Training & Evaluation: Participate in the fine-tuning stages of the training of large-scale text-to-image models, conduct rigorous ablations, design evaluation metrics, and analyze model performance.Documentation & Communication: Document research findings, prepare technical reports, and participate in the external communication of the results.Open Source & Community: Contribute to an ambitious open-source project, publish research findings, and engage with the broader AI community.What you will bring to JasperCurrently enrolled in a Ph.D. or M.Sc program in Machine Learning, applied mathematics or computer science (Ph.D, preferred).Experience with distillation and/or improved sampling techniques for diffusion modelsA genuine interest in the field and a strong motivation to contribute to open-source initiatives, with a potentially proven track record through personal projects or previous experience in deep learning, especially generative models (e.g., diffusion models, GANs, VAEs, transformers).Strong coding abilities in Python and deep learning frameworks (PyTorch, TensorFlow, JAX).The ideal candidate will possess a strong critical thinking and problem-solving mindset, coupled with excellent teamwork skills.Being available for period of 6 months.Nice to haveStrong programming Python skills, including software engineering best practices to produce high-quality code.Experience with distributed training and large-scale systems on GPU clustersExperience with large-scale data processingContributions to open-source projects.Proven track record of achieving significant results as demonstrated by first-authored publications in major conferences and journals such as CVPR, ECCV, ICCV, ICLR, NeurIPSBenefits & PerksFlexible, hybrid work environment. Our office is based at Station F in Paris, the vibrant hub of the French startup ecosystem. Our efficient and lean team at Station F thrives on innovation and collaboration.Competitive compensation package

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Jasper is the leading AI marketing platform, enabling the world's most innovative companies to reimagine their end-to-end marketing workflows and drive higher ROI through increased brand consistency, efficiency, and personalization at scale. Jasper has been recognized as "one of the Top 15 Most Innovative AI Companies of 2024" by Fast Company and is trusted by nearly 20% of the Fortune 500 – including Prudential, Ulta Beauty, and Wayfair. Founded in 2021, Jasper is a remote-first organization with team members across the US, France, and Australia.About The RoleJasper Research is seeking a highly motivated intern to advance the frontiers of open source image-generation and image-editing applications. In this role, you will be instrumental in developing new state-of-the-art open-source text-to-image and image editing models while collaborating closely with our talented team of researchers and engineers. The internship duration is 6 months.We have historically relied on third-party existing open-source image foundational models for its core applications (replace-background, image uncropping, image relighting …), mastering model fine-tuning methods. One of the team’s current core projects consists now of building our own open-weights foundational text-to-image model from scratch.This role is open to candidates located in Paris. It will be a hybrid setup, which requires you to come into the office when necessary. What you will do at JasperAs a Research Scientist Intern, you will work closely with our research team to design the best-suited RLHF techniques for diffusion models. This role offers a unique opportunity to contribute to the development of a foundational open-source model, addressing challenges in scalability, fidelity, and generalization. You will engage in both theoretical and applied research, collaborating with experts in machine learning, computer vision, and natural language processing. The main goals of this internship areResearch & Development: Conduct literature reviews, propose and implement innovative methods to fine-tune text-to-image models with reinforcement learning methods (RLHF, DPO)Model Training & Evaluation: Participate in the fine-tuning stages of the training of large-scale text-to-image models, conduct rigorous ablations, design evaluation metrics, and analyze model performance.Documentation & Communication: Document research findings, prepare technical reports, and participate in the external communication of the results.Open Source & Community: Contribute to an ambitious open-source project, publish research findings, and engage with the broader AI community.What you will bring to JasperCurrently enrolled in a Ph.D. or M.Sc program in Machine Learning, applied mathematics or computer science (Ph.D, preferred).Experience with RLHF techniques with application to either Large Language Models or Diffusion Models.A genuine interest in the field and a strong motivation to contribute to open-source initiatives, with a potentially proven track record through personal projects or previous experience in deep learning, especially generative models (e.g., diffusion models, GANs, VAEs, transformers).Strong coding abilities in Python and deep learning frameworks (PyTorch, TensorFlow, JAX).The ideal candidate will possess a strong critical thinking and problem-solving mindset, coupled with excellent teamwork skills.Being available for period of 6 months.Nice to haveStrong programming Python skills, including software engineering best practices to produce high-quality code.Experience with distributed training and large-scale systems on GPU clustersExperience with large-scale data processingContributions to open-source projects.Proven track record of achieving significant results as demonstrated by first-authored publications in major conferences and journals such as CVPR, ECCV, ICCV, ICLR, NeurIPSBenefits & PerksFlexible, hybrid work environment. Our office is based at Station F in Paris, the vibrant hub of the French startup ecosystem. Our efficient and lean team at Station F thrives on innovation and collaboration.Competitive compensation package

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About Mistral At Mistral we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation, with teams distributed between Europe, the USA and Asia. We are creative, low-ego and team-spirited. At Mistral, we develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit. Mistral is hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI. What will you do *Research and develop novel methods to push the frontier of large language models*Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)*Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale*Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact About you * An expert in speech input/output methodologies (specific to audio)*You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)*You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)*You have high engineering competence. This means being able to design complex software and make it usable in production*You are a self-starter, autonomous and a team player Now, it would be ideal if* You have experience working with large-scale speech-language models*You have hands-on experience with training large transformer models in a distributed fashion*You can navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment *You have a strong publication record in a relevant scientific domain Note that this is not an exhaustive or necessary list of requirements. Please consider applying if you believe you have the skills to contribute to Mistral's mission. We value profile and experience diversity. Benefits France💰 Competitive cash salary and equity🥕 Food : Daily lunch vouchers🥎 Sport : Monthly contribution to a Gympass subscription 🚴 Transportation : Monthly contribution to a mobility pass🧑‍⚕️ Health : Full health insurance for you and your family🍼 Parental : Generous parental leave policy🌎 Visa sponsorship UK💰 Competitive cash salary and equity🚑 Insurance🚴 Transportation: Reimburse office parking charges, or 90GBP/month for public transport🥎 Sport: 90GBP/month reimbursement for gym membership🥕 Meal voucher: £200 monthly allowance for its meals💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)

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Role OverviewWe are seeking a talented Research Scientist specializing in generative modeling and diffusion models to join our modeling team. This role is ideal for someone who is an expert at pre-training or post-training of large-scale diffusion models for images, videos, or 3D assets or scenes.You will collaborate closely with researchers, engineers, and product teams to bring advanced 3D modeling and machine learning techniques into real-world applications, ensuring that our technology remains at the forefront of visual innovation. This role involves significant hands-on research and engineering work, driving projects from conceptualization through to production deployment.Key ResponsibilitiesDesign, implement, and train large-scale diffusion models for generating 3D worldsDevelop and experiment with post-training for large-scale diffusion models to add novel control signals, adapt to target aesthetic preferences, or distill for efficient inferenceCollaborate closely with research and product teams to understand and translate product requirements into effective technical roadmaps.Contribute hands-on to all stages of model development including data curation, experimentation, evaluation, and deployment.Continuously explore and integrate cutting-edge research in diffusion and generative AI more broadlyAct as a key technical resource within the team, mentoring colleagues, and driving best practices in generative modeling and ML engineeringIdeal Candidate Profile3+ years of experience in generative modeling or applied ML roles, ideally at a startup or other fast-paced research environmentExtensive experience with machine learning frameworks such as PyTorch or TensorFlow, especially in the context of diffusion models and other generative modelsDeep expertise in at least one area of generative modeling: pre-training, post-training, diffusion distillation, etc for diffusion modelsStrong history of publications or open-source contributions involving large-scale diffusion modelsStrong coding proficiency in Python and experience with GPU-accelerated computing.Ability to engage effectively with researchers and cross-functional teams, clearly translating complex technical ideas into actionable tasks and outcomes.Comfortable operating within a dynamic startup environment with high levels of ambiguity, ownership, and innovation.Nice to HaveContributions to open-source projects in the fields of computer vision, graphics, or ML.Familiarity with large-scale training infrastructure (e.g., multi-node GPU clusters, distributed training environments).Experience integrating machine learning models into production environments.Led or been involved with the development or training of large-scale, state-of-the-art generative models

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Role OverviewWe are seeking a talented Research Scientist specializing in 3D Models to join our modeling team. This role is ideal for someone passionate about developing and implementing cutting-edge 3D representation and machine learning models that generate sophisticated 3D scenes and objects, ranging from intricate details to expansive environments. You will collaborate closely with researchers, engineers, and product teams to bring advanced 3D modeling and machine learning techniques into real-world applications, ensuring that our technology remains at the forefront of visual innovation. This role involves significant hands-on research and engineering work, driving projects from conceptualization through to production deployment.Key ResponsibilitiesDevelop and implement state-of-the-art 3D representations and machine learning models to accurately capture and generate detailed 3D structures.Design and model small to large-scale objects and complex scenes, applying computer vision, graphics, and generative AI techniques.Collaborate closely with research and product teams to understand and translate product requirements into effective technical roadmaps.Contribute hands-on to all stages of model development including data curation, experimentation, evaluation, and deployment.Continuously explore and integrate cutting-edge research in 3D modeling and generative AI.Act as a key technical resource within the team, mentoring colleagues, and driving best practices in 3D modeling and ML engineering.Ideal Candidate Profile3+ years of experience in 3D models, graphics, or applied ML roles, ideally within startup or fast-paced research environments.Extensive experience with machine learning frameworks such as PyTorch or TensorFlow, especially in the context of generative models and 3D representations.Deep expertise in at least one area of computer graphics, 3D reconstruction, neural rendering, generative AI for vision, or related fields.Proven ability to deliver high-quality 3D projects that involve complex object and scene generation.Strong academic track record or demonstrated expertise in 3D modeling, machine learning and/or rendering.Strong coding proficiency in Python and experience with GPU-accelerated computing.Ability to engage effectively with researchers and cross-functional teams, clearly translating complex technical ideas into actionable tasks and outcomes.Comfortable operating within a dynamic startup environment with high levels of ambiguity, ownership, and innovation.Nice to HaveContributions to open-source projects in the fields of computer vision, graphics, or ML.Familiarity with large-scale training infrastructure (e.g., multi-node GPU clusters, distributed training environments).Experience integrating machine learning models into production environments.Experience writing custom graphics or rendering related CUDA operators for use in ML frameworks such as PyTorch

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About us:At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business.Job Description:Articul8 AI is seeking an exceptional Principal AI Researcher to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for conducting cutting-edge research to advance the capabilities of our AI systems. Your role will involve designing, implementing, and evaluating novel approaches to improve our GenAI models, working at the intersection of GenAI research and product development.Responsibilities:Serve as the subject matter expert in various domains of GenAI research and development, including:Data pipelines: Design and optimize data processing workflows for large-scale model trainingTraining methodologies: Implement pre-training, mid-training, and post-training strategies and optimization techniquesReinforcement learning: Develop RL algorithms for GenAI and with applications in decision-making, personalization, and several other tasksMultimodal AI: Create systems that effectively process and generate across text, image, audio, and video modalitiesPersonalization: Design and implement tailored GenAI experiences by understanding user behavior, preferences, and contexts to deliver customized content and recommendationsKnowledge representation and retrieval: Develop techniques for effectively representation of information and knowledge elicitation, as well as search and retrieval.Play a technical leadership role in designing, developing, and scaling novel algorithms and models by taking them from research prototypes to production-ready systems that deliver real-world impactLead groundbreaking research initiatives in GenAI by identifying high-impact problems, designing innovative experiments, and developing solutions that advance both theoretical understanding and practical applications.Drive strategic decision-making processes by contributing to technology assessment, roadmap planning, and identifying areas for innovation that align with Articul8's business objectives.Partner with cross-functional teams to integrate cutting-edge research findings into products and maintain our technological leadership in the market.Monitor and analyze emerging trends in generative AI and related fields, sharing valuable research contributions through publications at prestigious conferences and journals.Mentor and guide junior team members and help building a strong culture of rapid innovation.Required Qualifications:Education: PhD/MSc degree in Computer Science, Machine Learning (ML), or a related field.Professional experience: 8+ years of experience as an AI researcher with a track record of applied research and/or product development (out of which, at least 3+ years should be on actively developing GenAI technologies).Core technical skills:Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments.A strong background in parallel/distributed computing on the cloud.Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation.Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial.Preferred Qualifications:Experience with cloud computing platforms such as AWS, Azure, or GCP.Proven track record of publications in top-tier conferences and journals.Professional Attributes:Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence.Collaboration and Communication: proficiency in working within cross-functional teams - communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives.Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results.Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base.Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions.If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team.

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About us:At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business.Job Description:Articul8 AI is seeking an exceptional Senior/Staff AI Researcher to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for conducting cutting-edge research to advance the capabilities of our AI systems. Your role will involve designing, implementing, and evaluating novel approaches to improve our GenAI models, working at the intersection of GenAI research and product development.Responsibilities:Serve as the subject matter expert in various domains of GenAI research and development, including:Data pipelines: Design and optimize data processing workflows for large-scale model trainingTraining methodologies: Implement pre-training, mid-training, and post-training strategies and optimization techniquesReinforcement learning: Develop RL algorithms for GenAI and with applications in decision-making, personalization, and several other tasksMultimodal AI: Create systems that effectively process and generate across text, image, audio, and video modalitiesPersonalization: Design and implement tailored GenAI experiences by understanding user behavior, preferences, and contexts to deliver customized content and recommendationsKnowledge representation and retrieval: Develop techniques for effectively representation of information and knowledge elicitation, as well as search and retrieval.Play a technical leadership role in designing, developing, and scaling novel algorithms and models by taking them from research prototypes to production-ready systems that deliver real-world impact.Partner with cross-functional teams to integrate cutting-edge research findings into products and maintain our technological leadership in the market.Monitor and analyze emerging trends in generative AI and related fields, sharing valuable research contributions through publications at prestigious conferences and journals.Required Qualifications:Education: PhD/MSc degree in Computer Science, Machine Learning (ML), or a related field.Professional experience: 5+ years of experience as an AI researcher with a track record of applied research and/or product development (out of which, at least 2+ years should be on actively developing GenAI technologies).Core technical skills:Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments.A strong background in parallel/distributed computing on the cloud.Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation.Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial.Preferred Qualifications:Experience with cloud computing platforms such as AWS, Azure, or GCP.Proven track record of publications in top-tier conferences and journals.Professional Attributes:Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence.Collaboration and Communication: proficiency in working within cross-functional teams - communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives.Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results.Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base.Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions.If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. NOTE: This position is available via CLT contract only, Thank you!

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About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.About the Role We are seeking a Senior or Principal Scientist to join our team and lead from the bench. The ideal candidate will have a strong foundation in protein expression in both eukaryotic, prokaryotic and cell free systems, with demonstrated expertise in cloning techniques essential for therapeutic protein development.  Candidates with pharmaceutical or industrial experience in protein production at scales ranging from microgram to gram scales are strongly preferred. About You The successful candidate will have a strong understanding of the biophysics of protein-protein interactions, protein chemistry and extensive experience in the molecular biology and biophysical techniques essential for protein engineering. You will be expected to work independently, drive scientific execution in the lab, and provide technical leadership on complex projects.  Supervisory or mentorship experience is desirable, as is the ability to collaborate effectively within cross-functional teams spanning discovery, process development, and analytical functions. Strong communication skills and the ability to present scientific data to diverse audiences are essential.  We are looking for a highly adaptable individual who can excel in a fast-paced, matrixed environment with shifting priorities and multiple responsibilities. This is a hands-on role suited for a scientist who is passionate about advancing drug discovery and development through innovation and scientific rigor.   Key Responsibilities Protein expression in multiple systems including mammalian, prokaryotic, insect and cell free systems is the primary responsibility. Downstream processing of samples including harvesting cells in small scale and up to 20 L using depth filters, affinity chromatography, ion exchange chromatography, and sizing. Use of various analytical techniques to evaluate process efficiency and quality. It is anticipated that this will require creative and unique approaches, including construct design and screening to increase yields, the development of novel strategies and methods for difficult to express proteins and to increase stability of problematic proteins.  The target proteins will be therapeutic proteins, antigens for the generation of therapeutics, assay reagents for screens, and proteins for structural studies. Experience in high throughput expression and purification is expected. The experience and flexibility to work on downstream purification is required. Leadership and mentoring of team members is expected. Excellent record keeping and organization is a must. Qualifications PhD with 8+ years of industry experience is required. Strong technical background in protein expression, tissue culture, aseptic techniques, and the operation and maintenance of bioreactors in an industry setting a must. Experienced molecular biologist with the ability to design and make expression constructs is required. Mammalian transient protein expression and cell line generation is required. Experience with insect cell expression using baculovirus and S2 cell line generation is strongly preferred. Experience with prokaryotic and cell free expression is a plus. Hands-on experience in generating and managing research cell banks is essential. Experience in protein purification and protein characterization is required. Experience with HPLC and FPLC techniques is desirable, specifically, knowledge of Agilent HPLC and Cytiva AKTA systems.  Downstream medium scale (10 - 20 L) sample preparation for purification. Protein analysis for expression including SDS-PAGE, CE-SDS, glycosylation analysis, cIEF and BLI/SPR. Demonstrated expertise in protein expression processes, ranging from 96-well plate formats to scales of up to 10-liter bioreactors, is required. Proven expertise in biological research, demonstrated by publications in peer-reviewed journals, issued patents, and successful IND filings. Track record of independently leading complex research projects while working collaboratively within cross-functional teams. Committed to fostering an inclusive, respectful environment that embraces diverse perspectives. Demonstrated inclusive leadership through active listening and thoughtful engagement with all viewpoints.   Compensation We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $140,000 - $205,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience. Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end. Xaira Therapeutics is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform critical job functions, and to receive other benefits and privileges of employment. Please contact Human Resources to request accommodation. TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.  

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.ABOUT THE TEAM Anduril’s Research Scientists excel at developing state-of-the-art algorithms and software that solve scientific problems with real-world applications. Working in small, innovative teams, our research scientists create impactful solutions that make a difference. Our research endeavors don’t end once we’ve published papers; our work is complete when our technology is deployed in mission-critical systems, ensuring success for our customers in government and industry.  Join us in our mission to expand the boundaries of what’s possible! WHAT YOU WILL DO Drive rapid prototyping initiatives for advanced R&D projects, focusing on specialized algorithm development in the context of radar systems, video sensors, space-based sensing, and Command and Control (C2) systems. Utilize high-fidelity modeling and simulation tools to assess and quantify the impact of innovative technologies on system performance. Collaborate with cross-disciplinary teams to ensure seamless integration of software and hardware, optimizing system functionalities for radar systems. Implement rigorous software quality assurance processes, using various testing methodologies to ensure reliability and efficiency of developed solutions. Engage with stakeholders to align R&D outcomes with mission-critical objectives, ensuring optimal performance and operational success. Mentor junior team members, fostering a culture of innovation and continuous improvement within the team. REQUIRED QUALIFICATIONS An M.S. or Ph.D. in Applied or Computational Mathematics, Electrical Engineering, Computer Science, Controls and Dynamical Systems, Aerospace Engineering, Physics, Statistics and Probability, or a related field. 2+ years of professional experience in embedded software/firmware engineering. Strong foundation in applied mathematics, including probability theory, optimization theory, linear algebra, and numerical analysis. Familiarity with functional programming languages (e.g., C/C++, Julia, Rust, Python, CUDA). Demonstrated experience in scientific computing, including algorithm implementation, optimization methods/theory, probabilistic/stochastic models, graphical models. Knowledge of digital signal processing (DSP) and image processing, as well as controls and estimation theory. Excellent written and verbal communication skills to convey complex technical concepts to diverse audiences. Adept at problem identification and principled approaches to problem formulation and solution. Effective data analysis, deep-diving, trouble-shooting. Open-minded, creative, imaginative. Agile learner. Enthusiastic collaboration, energized by driving team success. Ability to obtain and maintain a U.S. TS/SCI security clearance. PREFERRED QUALIFICATIONS Experience with either radar signal processing or image processing. Experience in GPU programming (CUDA programming) and rapid prototyping.     We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment.US Salary Range$117,300—$175,950 USD  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. 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: Platinum Healthcare Benefits: For U.S. roles, we offer comprehensive medical, dental, and vision plans at little to no cost to you. For UK roles, Private Medical Insurance (PMI): Anduril will cover the full cost of the insurance premium for an employee and dependents. For AUS roles, Private health plan through Bupa: Coverage is fully subsidized by Anduril. Basic Life/AD&D and long-term disability insurance 100% covered by Anduril, plus the option to purchase additional life insurance for you and your dependents. Extremely generous company holiday calendar including a holiday hiatus in December, and highly competitive PTO plans. 16 weeks of paid Caregiver & Wellness Leave to care for a family member, bond with your baby, or tend to your own medical condition. Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting. Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more. Additional work-life services, such as free legal and financial support, available to you as well. A professional development stipend is available to all Andurilians. Daily Meals and Provisions: For many of our offices this means breakfast, lunch and fully stocked micro-kitchens. Company-funded commuter benefits available based on your region. Relocation assistance (depending on role eligibility). 401(k) retirement savings plan - both a traditional and Roth 401(k). (US roles only) The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you! To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.

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Who We Are At PathAI, we’re building an AI-powered platform for pathology to advance the diagnosis and treatment of disease and to improve the lives of patients. We’re applying our work to drug development, clinical diagnosis, and global health. What You’ll Do The day-to-day responsibilities for the Director of Translational Research, Oncology at PathAI include: Oversee execution of multiple translational research projects/contracts with key clients to meet company goals and strengthen partner relationships Oversee execution of multiple programs to drive company-wide scientific and business strategy Develop client relationships and pursue new opportunities to drive business growth Responsible for professional development of team of program / project managers / support staff Responsible for hiring and training activities Collaborate and liaise across internal stakeholders including the business development, product, and machine learning teams, providing hypotheses for novel biological insights and strategy roadmaps for project completion. What You Bring Advanced degree in life sciences or biomedical engineering-related disciplines required, PhD preferred. At least 5 years work experience Experience building, leading and managing teams. Strong user of technology with a solid basis in quantitative analysis and data-driven decision making Intellectual curiosity and the ability to learn quickly in a complex space Excellent communication skills Publications of research in related fields  We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.    #LI-Remote