Visiting Researcher jobs at Meta - 655 jobs

A leading technology company is seeking AI Research Scientists/Research Engineers to drive innovation and tackle enterprise-level problems through AI. Successful candidates will have a strong background in Computer Science or a related field, as well as experience with machine learning and AI product development. The role involves developing cutting-edge models and collaborating with cross-functional teams to deliver impactful AI solutions. This position is full-time and offers competitive compensation and benefits. #J-18808-Ljbffr

Lead Natural Language Modeling Research Scientist, Siri Speech San Francisco Bay Area, California, United States Machine Learning and AI Are you excited about Generative AI and Large Language Models? Are you interested in working on cutting edge generative modeling technologies and its application to virtual assistants to enrich billions of people!? Join the SWE Response team at Apple! We are looking for an exceptional senior research scientist experienced in design and development of training, adapting and deploying large scale ML models with a focus on natural language understanding, generation, speech and/or multimodal generation. Additionally, you'll advance and apply the latest ML techniques to Apple's virtual assistant and dive into the details to craft the Siri experience for millions of users worldwide. Description We are seeking a lead scientist candidate with a proven track record in applied ML research who is not only capable of hands‑on work but also leading projects. Responsibilities in the role will include training large‑scale language and multimodal models on distributed backends, deployment of compact neural architectures such as transformers efficiently on device, and learning policies that can be personalized to the user in a privacy‑preserving manner. Ensuring quality with an emphasis on fairness and model robustness would constitute an important part of the role. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams cross‑functionally. Your primary responsibilities will center on enriching conversation understanding capabilities through LLM and multimodal models. The user‑experience initiative would focus on enriching system safety experience. Minimum Qualifications 5 - 7+ years experience in Machine Learning and its application to NLP, NLG or Speech Hands‑on experience training LLMs, adapting pre‑trained LLMs for downstream tasks & human alignment Proficiency in using ML toolkits, e.g., PyTorch Strong programming skills in Python, C and C++ Preferred Qualifications JAX (nice to have) At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal‑opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

About Us We're tackling one of healthcare's most critical challenges in medical imaging and diagnostics. Our company operates at the intersection of cutting‑edge AI and clinical practice, building technology that directly impacts patient outcomes. We've assembled one of the industry's most comprehensive and diverse medical imaging datasets and have a proven product‑market fit with a substantial customer pipeline already in place. Role Overview We're seeking a Research Scientist with deep expertise in Vision Language Modeling (VLMs) to join our ML team. You'll be at the forefront of developing and deploying state‑of‑the‑art multimodal models for clinical use in radiology settings. This role focuses on training and fine‑tuning vision‑language models (VLMs) that can generate accurate & grounded radiology reports across multiple imaging modalities including X‑rays, CT scans, and MRI. You'll work with one of the largest and most diverse medical imaging datasets in the industry, advancing the state‑of‑the‑art in grounded medical report generation, model alignment, and inference‑time reasoning while maintaining the clinical rigor required for healthcare deployment. Key Responsibilities Design, train, and scale vision‑language foundation models for radiology applications. Develop and implement advanced post‑training strategies including preference optimization (DPO, IPO, KTO), reinforcement learning from human feedback (RLHF), and other alignment techniques to improve clinical accuracy and reduce hallucinations. Research and deploy inference‑time compute scaling techniques such as chain‑of‑thought reasoning, self‑refinement, and test‑time training to enhance model performance on complex diagnostic cases. Pioneer grounded report generation capabilities, enabling models to spatially localize findings within medical images using bounding boxes or segmentation masks. Design rigorous evaluation frameworks that assess text for medical accuracy and writing style. Contribute hands‑on to all stages of model development including dataset curation, architecture design, distributed training, post‑training optimization, and production deployment. Stay current with cutting‑edge research in vision‑language modeling, medical AI, and model alignment techniques. Drive research and technical excellence through conference publications and technical blog posts, establishing best practices for training robust medical VLMs at scale. Qualifications 6+ years of academia/industry experience in vision‑language modeling, multimodal learning, or related fields Deep expertise in training and fine‑tuning large vision‑language models (e.g., LLaVA, Flamingo, CogVLM, Qwen‑VL, or similar architectures) Strong foundation in modern post‑training techniques including: Preference optimization methods (DPO, IPO, ORPO, KTO) RLHF and reward modeling Inference‑time compute scaling and reasoning strategies Constitutional AI and other alignment techniques Track record of implementing complex models from research papers and adapting them to new domains Proficiency in PyTorch or JAX, with experience training large models on multi‑GPU/distributed systems Experience with autoregressive language modeling and instruction tuning Hands‑on experience with medical imaging applications, particularly radiology report generation Strong software engineering skills and ability to write production‑quality code Preferred Qualifications Publications at top‑tier conferences (NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP, MICCAI) Experience with grounded generation tasks (visual grounding, referring expression comprehension) Knowledge of evaluation methodologies for long‑form generation, including factuality assessment and hallucination detection Experience with 3D medical image processing and temporal modeling Familiarity with clinical NLP and medical knowledge representation Experience with model interpretability, explainability, and uncertainty quantification in safety‑critical applications #J-18808-Ljbffr

About Us We're tackling one of healthcare's most critical challenges in medical imaging and diagnostics. Our company operates at the intersection of cutting-edge AI and clinical practice, building technology that directly impacts patient outcomes. We've assembled one of the industry's most comprehensive and diverse medical imaging datasets and have a proven product-market fit with a substantial customer pipeline already in place. Role Overview We're seeking a Research Scientist with deep expertise in Perception to join our ML team. You'll be at the forefront of developing and deploying state-of-the-art vision models for medical imaging applications. This role focuses on training and scaling vision encoders for radiology diagnosis across multiple modalities including X-rays, CT scans, and MRI. You'll work with one of the largest and most diverse medical imaging datasets in the industry, pushing the boundaries of what's possible in AI-assisted diagnosis while maintaining the rigor required for clinical deployment. Key Responsibilities Design, train, and scale vision foundation models for radiology applications across X-ray, CT, and MRI modalities, implementing self-supervised / contrastive learning frameworks. Evaluate model performance rigorously across academic benchmarks, internal offline datasets, and live production data. Contribute hands-on to all stages of model development including dataset curation, architecture design, distributed training, and production deployment. Stay current with cutting-edge research in computer vision and medical imaging AI. Drive research and technical excellence through conference publications and technical blog posts, establishing best practices for training robust medical imaging models at scale. Qualifications 6+ years of academia/industry experience in computer vision/machine learning Deep expertise in training vision encoder models at scale (e.g. ViT, ConvNeXt). Strong foundation in contrastive learning, self-supervised learning, and foundation model pretraining. Track record of implementing complex models from research papers and adapting them to new domains Proficiency in PyTorch or JAX, with experience training models on multi-GPU/distributed systems Hands-on experience with medical imaging applications, particularly radiology (X-ray, CT, MRI) Strong software engineering skills and ability to write production-quality code Preferred Qualifications Publications at top-tier conferences (CVPR, ICCV/ECCV, NeurIPS, ICLR, MICCAI) Experience with 3D medical image processing and retrieval tasks Knowledge of vision-language models and multimodal learning Experience with model interpretability and explainability methods Understanding of clinical evaluation metrics, clinical workflows, and healthcare data (DICOM, HL7, etc.) #J-18808-Ljbffr

A leading technology company in Seattle is seeking a researcher to work on state-of-the-art LLM technologies for applications in AI. This role involves innovating in the field of AI research, particularly focusing on integrating various data types into systems. Ideal candidates should possess a PhD or Master's in related fields and be experienced in programming and machine learning. The company offers competitive compensation based on market rates, from $136,000 to $223,400 per year, alongside a range of benefits. #J-18808-Ljbffr

An established industry player is seeking a passionate Research Scientist to innovate and advance machine learning techniques. This role offers the opportunity to develop impactful research while collaborating across teams to push the boundaries of AI. Ideal candidates will have a track record of innovation, a strong understanding of deep learning algorithms, and a commitment to the ethical implications of AI technology. Join a forward-thinking organization dedicated to ensuring AI benefits all of humanity and play a pivotal role in shaping the future of technology. #J-18808-Ljbffr

A leading AI research company in San Francisco is seeking a Research Scientist in mathematical sciences to design and build AI models that tackle complex scientific problems. The ideal candidate will have strong communication skills and experience with frontier models. This position operates on a hybrid work model, valuing rigor and reproducibility in scientific research. Competitive compensation is offered. #J-18808-Ljbffr

About the Team The Strategic Deployment team makes frontier models more capable, reliable, and aligned to transform high-impact domains. On one hand, this involves deploying models in real-world, high-stakes settings to drive AI-driven transformation and elicit insights-training data, evaluation methods, and techniques-to shape our frontier model development. On the other hand, we leverage these learnings to build the science and engineering of impactful frontier model deployment. As a key element of this effort, OpenAI for Science aims to harness AI to accelerate the process of scientific research. This involves building models and an AI-powered platform that speeds up discovery and helps researchers everywhere do more, faster. About the Role As a Research Scientist focused on the mathematical sciences, you will help build models, tools, and workflows that move theoretical research-in fields such as mathematics, theoretical physics, and theoretical computer science-forward. You\'ll design domain-specific data and signals, shape training and evaluation, guide how to wire models to scientific tools, and work with the academic community to speed up adoption and impact. We\'re looking for people who... Hold a current or recent academic position in mathematical sciences (mathematics, theoretical physics, theoretical computer science) or a related field Regularly use frontier models in their own research Move easily between theory and code, and are eager to contribute technically as well as academically Either know or are eager to learn modern AI and run AI experiments end-to-end Are strong scientific communicators Care about rigor and reproducibility in scientific results This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will Assist in designing and building frontier AI models that are great at solving frontier mathematical sciences problems Build high-quality scientific datasets and synthetic data pipelines (symbolic, numeric, and simulator-based) Design reinforcement and grading signals for physics and run reinforcement learning/optimization loops to improve model reasoning Define and run evals for scientific reasoning, derivations, simulations, and literature grounding; track progress over time Partner with research labs and the academic community Drive adoption of frontier AI within the scientific community Uphold high standards for safety, data governance, and reproducibility You might thrive in this role if you Are passionate about pushing the boundaries of your field using AI Have used ChatGPT to do calculations and prove or improve lemmas in your field of study Communicate clearly to both scientists and AI engineers; you like collaborating across teams and with academia Nice to have Open-source contributions to mathematical science or AI tooling Experience building or curating domain datasets and benchmarks Experience engaging a research community (teaching, workshops, tutorials, standards) About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI\'s Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $380K - $460K #J-18808-Ljbffr

By applying to this role, you will be considered for Research Scientist roles across all teams at OpenAI. About The Role As a Research Scientist here, you will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization. We are looking for people who want to discover simple, generalizable ideas that work well even at large scale, and form part of a broader research vision that unifies the entire company. We Expect You To Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Be excited about OpenAI's approach to research. Nice To Have Interested in and thoughtful about the impacts of AI technology. Past experience in creating high-performance implementations of deep learning algorithms. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. #J-18808-Ljbffr

A forward-thinking sleep technology company in San Francisco is seeking a research scientist to leverage AI and Machine Learning to transform health and fitness experiences through innovative technology. The ideal candidate has a PhD in a relevant field and practical experience in machine learning application, with a passion for health technologies. This role promises immediate responsibilities, collaboration with exceptional talent, and equitable compensation, while promoting a workplace that values innovation and excellence. #J-18808-Ljbffr

Join the Sleep Fitness Movement At Eight Sleep, we're on a mission to fuel human potential through optimal sleep. As the world's first sleep fitness company, we're redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don't just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn't passive - it's a powerful tool for living better. If you're tired of the ordinary and driven to build at the edge of what's possible, this is your moment. Join us and lead the movement that's transforming how the world sleeps and what we're all capable of when we wake up. High Standards. No Apologies. We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world's top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant's mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn't a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week -not because we're told to, but because we're invested. We're here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you'll feel right at home. If you're looking for something easier -this isn't it. The Role Eight Sleep is the first sleep fitness company. At Eight Sleep we design products at the forefront of sleep innovation. Our mission is to make people's sleep count for more, using innovative technology, minimalistic design, and proven clinical science to personalize and improve each night for everybody-changing the way people sleep forever and for better. Our temperature-regulated technology, the Pod, is an absolute game changer. It improves people's health and happiness by changing the way they sleep. The Pod was recognized two years in a row by TIME's “Best Inventions of the Year.” It is available for purchase in North America and internationally. Backed by leading Silicon Valley investors including Valor Equity Partners, Founders Fund, Khosla Ventures and Y Combinator, we've raised over $150 million (Series C) to date. We were recognized as one of Fast Company's Most Innovative Companies in Consumer Electronics in 2019, 2022, and 2023. That is why Eight Sleep is looking for research scientists with a passion for using AI & Machine Learning to transform sensor data into personalized intelligent health & fitness experiences. Today, we offer heart rate, heart rate variability, sleep, and other metrics. Tomorrow, your imagination will unlock new meaningful metrics that will induce behavior change for better sleep and better health. To do so, you will work closely with a cross‑functional R&D and production team to prototype and to ship solutions. We are seeking someone who is passionate about health technologies and about making an impact on health outcomes. We look for people who tackle problems with a system approach, and make data driven decisions to deliver the best products to our users. How you'll contribute Example projects include: Autopilot Thermoregulation: Advance the Pod's adaptive thermoregulation system - the “autopilot” system that continuously learns and reacts to micro-events like restlessness or awakenings. Design policies that optimize comfort and sleep quality in real time through reinforcement learning and closed‑loop control. Health Foundation Modeling: Develop a multimodal health foundation model that integrates physiology and environmental context - learning from Pod signals, wearable sensors, and contextual data - powered by one billion+ hours of sleep data at Eight Sleep. Behavioral simulations: Build a high‑fidelity physiological simulator that models how daily behaviors ripple into tonight's sleep and tomorrow's readiness. This initiative aims to create a non‑invasive, always‑on model of healthy aging powered by Pod biosignals and continuous physiological data. What you'll need to succeed Expertise in at least one area of machine learning and artificial intelligence (e.g., self‑supervised learning, multi‑modal ML, model optimization, NLP, LLM) Strong interest in applying machine learning to health related problems and data Experience using a programming language (Python, C/C++ etc.) to manipulate data, draw insights from large data sets, and train machine learning models 3+ years of practical experience applying ML to solve real‑world problems or relevant quantitative and qualitative research and analytics experience PhD in Computer Science, Machine Learning, AI, Statistics, Mathematics, or related quantitative field with a notable publication record; or BS/MS with publications at top venues (e.g. NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ACL, EMNLP, INTERSPEECH) Why join Eight Sleep? Innovation in a culture of excellence Join us in a workplace where innovation isn't just encouraged - it's a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness. Immediate responsibility and accelerated career growth From your first day, you'll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company's trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast‑paced environments aiming for high standards. Collaboration with exceptional talent Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast‑paced environment. Equitable compensation and continuous equity investment We extend equity participation to every full‑time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you - perfectly aligning your achievements with the broader triumphs of the company. Pay grows rapidly as you accumulate experience with Eight Sleep and translate it into concrete impact. Your own Pod - and other great benefits Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you'll get your own Pod, along with other benefits At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. #J-18808-Ljbffr

Overview The Argonne Wakefield Accelerator (AWA) Group in the High Energy Physics Division at Argonne National Laboratory seeks a postdoctoral research associate to conduct experimental and computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced-accelerator applications. This work supports AWA's mission to enable next-generation, energy-frontier particle accelerators. The AWA portfolio spans beam-driven wakefield acceleration, generation of bright electron beams, advanced beam-manipulation for precise electron-beam shaping, and ML for accelerator science. Responsibilities + Develop and deploy ML algorithms for autonomous operations and optimization of beam dynamics, beginning with macroscopic beam control (e.g., centroid and beam size) and advancing to techniques that enhance high-power, high-frequency radiation generation via wakefield production-a key element of the two-beam acceleration concept + Emphasize Bayesian optimization approaches and integrate these methods into the facility control system + Design, execute, and analyze accelerator experiments; lead experimental campaigns and contribute to operations as needed + Shape independent research directions and collaborate to apply ML tools across AWA experiments + Document methods and results; present findings internally and at external conferences; contribute to publications Collaboration Environment + Work in close coordination with ML development teams across Argonne (including the Advanced Photon Source) and with collaborators at SLAC + Engage with a multi-lab team that includes scientists from Fermilab and Jefferson Lab Application Materials Please submit: + Research statement + Official graduate school transcript + CV (including publications and presentations) Additionally, arrange for three letters of recommendation to be sent to ************* . This position will remain open until filled. **Position Requirements** + Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of physics-ideally in accelerator science or engineering-or a closely related field + Demonstrated experience or strong interest in artificial intelligence and machine learning, particularly for control applications + Proficiency in Python + Strong analytical and problem-solving skills + Ability to work independently and collaboratively with scientists, engineers, and technicians + Excellent written and verbal communication skills + Collaborative mindset; works effectively with internal and external partners in a transparent, collegial environment + Demonstrated ability to think independently and innovatively to develop creative solutions + Strong organizational skills and attention to detail + Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork Preferred Qualifications + Background in beam dynamics and electron sources + Background with wakefield acceleration techniques and diagnostics + Experience with ML frameworks such as PyTorch or TensorFlow + Experience with the software stack used at AWA: PyEPICS, GitHub, NumPy, SciPy, Matplotlib + Strong experimental skills, curiosity, and initiative in research projects **Job Family** Postdoctoral **Job Profile** Postdoctoral Appointee **Worker Type** Long-Term (Fixed Term) **Time Type** Full time The expected hiring range for this position is $70,758.00-$117,925.00. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click here (******************************************** to view Argonne employee benefits! _As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law._ _Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department._ _All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment._

Argonne National Laboratory invites applications for postdoctoral research positions in experimental physics, with a focus on advancing superconducting particle detector technology for next-generation nuclear science experiments at Jefferson Lab and the Electron-Ion Collider (EIC). As part of our growing multidisciplinary team, you will contribute to the development of superconducting nanowire detectors while also having flexibility to pursue your own research interests. **Research Focus** + Participate in a detector R&D program aimed at developing superconducting nanowire sensors to enable transformative experiments at Jefferson Lab and the EIC at Brookhaven National Laboratory + Collaborate with a diverse team of physicists and engineers working at the intersection of nuclear physics, materials science, microfabrication, and superconducting technologies **About the Team** You will join the Superconducting Nanowire Detector R&D group within Argonne's Medium Energy Physics team. The group includes nine staff scientists, engineers, postdocs, and students, with an active research portfolio that spans: + Leading electron-scattering experiments at Jefferson Lab (CLAS12, SoLID, Hall A, B, and C) + Major contributions to experiments at Fermilab (SeaQuest, SpinQuest) and PSI (MUSE) + Detector hardware leadership, including the ALERT time-of-flight detector, the ePIC Barrel Imaging Calorimeter, and the SoLID detector at Jefferson Lab + Innovation in detector technologies such as 3D-printed pixelized MCP-PMTs and superconducting nanowire single-particle detectors **Position Requirements** + Recent or soon-to-be-completed PhD (within the last 0-5 years) in the field of experimental nuclear physics, particle physics, electrical engineering, chemical engineering, materials science, mechanical engineering, or related discipline + Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork **Preferred** + Experimental data analysis in hadronic physics + Superconducting electronics and sensors + Detector simulations + Microfabrication of superconducting nanowire single-photon detectors (SNSPDs) **Application Instructions** + Cover Letter + Curriculum Vitae (CV) + Statement of Research Interests Additionally, arrange for three recommendation letters to be sent directly to Kaitlin Raimondi at ***************** , and confirm that your referees have submitted their letters. **Job Family** Postdoctoral **Job Profile** Postdoctoral Appointee **Worker Type** Long-Term (Fixed Term) **Time Type** Full time The expected hiring range for this position is $70,758.00-$117,925.00. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click here (******************************************** to view Argonne employee benefits! _As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law._ _Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department._ _All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment._

In 2014, our team developed a compact proton linear accelerator (linac) design for an accelerator-driven system (ADS) aimed at nuclear waste transmutation, based on state-of-the-art niobium superconducting RF (SRF) technology. Since then, a transformative SRF approach using Nb₃Sn has emerged, offering performance comparable to niobium while enabling operation at higher temperatures-potentially reducing operating costs for future linac-based accelerator facilities. Under a newly approved project, we will redesign the original ADS driver linac to leverage Nb₃Sn SRF technology. Key responsibilities include: + Leading the physics design of a next-generation proton linac, optimizing acceleration efficiency and transverse focusing + Designing new SRF accelerating cavity types across multiple operating frequencies + Conducting end-to-end beam dynamics studies at full beam energy and current, including comprehensive error analyses using large-scale beam simulations + Evaluating linac failure scenarios, defining tolerable failure modes, and developing strategies and procedures for rapid recovery with realistic recovery-time targets + Developing AI/ML-based tools to enable fast accelerator tuning and automated recovery following component failures + Experimentally validating the AI/ML methods on the ATLAS linac at Argonne National Laboratory **Position Requirements** + Recent or soon-to-be-completed PhD (within the last 0-5 years) in the field of accelerator physics or a closely related science and engineering discipline + Strong experience developing and applying computational modeling and simulation + Familiarity with accelerator operations is preferred, working knowledge of machine learning and artificial intelligence methods is highly desirable + The successful candidate will demonstrate expertise in accelerator physics, accelerator design, advanced modeling and high-performance computing, mathematics and data analytics, AI/ML algorithm development, and accelerator operations + Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork **Job Family** Postdoctoral **Job Profile** Postdoctoral Appointee **Worker Type** Long-Term (Fixed Term) **Time Type** Full time The expected hiring range for this position is $72,879.00-$121,465.00. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click here (******************************************** to view Argonne employee benefits! _As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law._ _Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department._ _All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment._

The Particle Theory Group in the High Energy Physics Division at Argonne National Laboratory invites applications for one or more Postdoctoral Research Associate positions in theoretical particle physics. The search is broad, covering all areas of theoretical particle physics, with particular emphasis on particle physics phenomenology. Members in the Particle Theory Group work on physics within and beyond the Standard Model, including effective field theories and perturbative QCD, phenomenology at current and future colliders, as well as emerging areas in Artificial Intelligence, Machine Learning, Quantum Information and Quantum Simulation. The successful candidate will be expected to carry out an independent and collaborative research program in particle theory that strengthens and complements existing efforts in the group and the division. The Argonne High Energy Physics Division provides a vibrant and collaborative research environment. In addition to a strong theory program, the Division has an extensive experimental portfolio, including participation in the ATLAS experiment at the Energy Frontier; the DUNE, Mu2e, and g-2 experiments at the Intensity Frontier; and SPT-3G, LSST DESC, DES, and the Roman Space Telescope in the Cosmic Frontier. The Division is also engaged in physics preparations for the Electron-Ion Collider (EIC), the development of advanced accelerator technologies (such as the Argonne Wakefield Accelerator), and novel superconducting detector technologies. There is an additional theoretical effort in computational cosmology. The initial appointment is for two years, with the possibility of extension to a third year, contingent on performance and available funding. **Position Requirements** + Recent or soon-to-be-completed PhD (within the last 0-5 years) in physics or a closely related field + Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork Application materials should include: + Cover Letter + Curriculum Vitae, including a list of publications + Research statement outlining interests in relation to the advertised position + Qualified candidates will be asked to provide three letters of reference For full consideration, please apply at your earliest convenience. The position will remain open until filled. If you have any questions, you may email Tim Hobbs at *********** or Ian Low @ ************ . **Job Family** Postdoctoral **Job Profile** Postdoctoral Appointee **Worker Type** Long-Term (Fixed Term) **Time Type** Full time The expected hiring range for this position is $72,879.00-$121,465.00. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click here (******************************************** to view Argonne employee benefits! _As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law._ _Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department._ _All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment._

The Chemical and Fuel Cycle Technologies division is seeking a Postdoctoral Appointee to join a multidisciplinary team developing electrochemical reactions and processes in molten salt electrolytes, primarily for recycling used nuclear fuel to support the deployment of advanced reactors. The selected candidate will develop and optimize novel separations chemistries to recover actinide and rare earth materials from complex feedstocks to achieve the desired product quality and form. As a part of this team, you will: + Apply electrochemical engineering principles to develop processes such as oxide reduction and electrorefining at engineering-scale. + Develop and test new materials and electrochemical reactions. + Perform innovative experiments and electroanalytical measurements (cyclic voltammetry, electrochemical impedance spectroscopy, polarization tests, etc.) to advance the technical understanding of molten salt chemistry. + Communicate effectively with supervisors, peers, and Laboratory management through status updates, technical research reports, project presentations, and other regular channels. + Develop technical ideas and proposals to advance the field of molten salt electrochemistry. **Position Requirements** + Recent (within the last five years) or soon-to-be completed Ph.D. in Chemical Engineering, Materials Science, Chemistry, Nuclear Engineering, or related field with zero to three years of experience or equivalent. + Knowledge and experience in electrochemistry, electrochemical engineering, or materials science and the ability to apply research principles from those fields to new systems. + Skill in devising and performing experiments to acquire data, using and maintaining research equipment, compiling, evaluating, and reporting test results. + Problem-solving skills, including the ability to identify technical challenges, develop innovative solutions, and implement practical strategies. + Strong interpersonal, written, and oral communication skills. + Experience with molten salt systems, actinide chemistry, or materials science is desired, but not mandatory. + Experience working safely with hazardous materials in engineering controls such as gloveboxes or hoods is desired, but not mandatory. + Ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork. + **Other: To perform the essential functions of this position successful applicants must provide proof of U.S. citizenship, which is required to comply with federal regulations and contract. Illegal drug testing as defined in 10 CFR 707.4 and a background investigation will be required prior to employment.** **Job Family** Postdoctoral **Job Profile** Postdoctoral Appointee **Worker Type** Long-Term (Fixed Term) **Time Type** Full time The expected hiring range for this position is $70,758.00-$117,925.00. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click here (******************************************** to view Argonne employee benefits! _As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law._ _Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department._ _All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment._

The Chemical and Fuel Cycle Technologies division is seeking a Postdoctoral Appointee to join a multidisciplinary team developing processes to support molten salt reactor (MSRs) fuel cycles, including synthesis of fuel materials and recycling of used MSR salts. The selected candidate will develop and optimize process chemistries to synthesize chloride and fluoride species, recover metals and oxides from molten salts, evaluate the purity and morphology of the products, and develop underlying understanding of the reaction kinetics and mechanisms behind these processes. As a part of this team, you will: + Apply engineering principles to develop molten salt synthesis and separations processes to support fuel cycle science and technology. + Develop and test new electrodes for use in molten salt environments. + Analyze products for impurity content through techniques such as XRD and SEM-EDS to ensure that products meet sponsor requirements. + Communicate effectively with supervisors, peers, and Laboratory management through status updates, technical research reports, project presentations, and other regular channels. + Develop innovative research directions to advance molten salt science. **Position Requirements** + Recent (within the last five years) or soon-to-be completed Ph.D. in Materials Science, Chemical Engineering, Mechanical Engineering, Chemistry, or related field with zero to three years of experience or equivalent. + Knowledge and experience with analytical techniques such as XRD and SEM. + Skill in devising and performing experiments to acquire data, using and maintaining research equipment, compiling, evaluating, and reporting test results. + Problem-solving skills, including the ability to identify technical challenges, develop innovative solutions, and implement practical strategies. + Strong interpersonal, written, and oral communication skills. + Experience with molten salt systems, actinide chemistry, or electrochemistry is desired, but not mandatory. + Experience working safely with hazardous materials in engineering controls such as gloveboxes or hoods is desired, but not mandatory. + Ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork. + Other: To perform the essential functions of this position successful applicants must provide proof of U.S. citizenship, which is required to comply with federal regulations and contract. Illegal drug testing as defined in 10 CFR 707.4 and a background investigation will be required prior to employment. **Job Family** Postdoctoral **Job Profile** Postdoctoral Appointee **Worker Type** Long-Term (Fixed Term) **Time Type** Full time The expected hiring range for this position is $70,758.00-$117,925.00. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click here (******************************************** to view Argonne employee benefits! _As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law._ _Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department._ _All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment._

Argonne National Laboratory invites applications for postdoctoral research positions in experimental physics, with a focus on advancing superconducting particle detector technology for next-generation nuclear science experiments at Jefferson Lab and the Electron-Ion Collider (EIC). As part of our growing multidisciplinary team, you will contribute to the development of superconducting nanowire detectors while also having flexibility to pursue your own research interests. **Research Focus** + Participate in a detector R&D program aimed at developing superconducting nanowire sensors to enable transformative experiments at Jefferson Lab and the EIC at Brookhaven National Laboratory + Collaborate with a diverse team of physicists and engineers working at the intersection of nuclear physics, materials science, microfabrication, and superconducting technologies **About the Team** You will join the Superconducting Nanowire Detector R&D group within Argonne's Medium Energy Physics team. The group includes nine staff scientists, engineers, postdocs, and students, with an active research portfolio that spans: + Leading electron-scattering experiments at Jefferson Lab (CLAS12, SoLID, Hall A, B, and C) + Major contributions to experiments at Fermilab (SeaQuest, SpinQuest) and PSI (MUSE) + Detector hardware leadership, including the ALERT time-of-flight detector, the ePIC Barrel Imaging Calorimeter, and the SoLID detector at Jefferson Lab + Innovation in detector technologies such as 3D-printed pixelized MCP-PMTs and superconducting nanowire single-particle detectors **Position Requirements** + Recent or soon-to-be-completed PhD (within the last 0-5 years) in the field of experimental nuclear physics, particle physics, electrical engineering, chemical engineering, materials science, mechanical engineering, or related discipline + Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork **Preferred** + Experimental data analysis in hadronic physics + Superconducting electronics and sensors + Detector simulations + Microfabrication of superconducting nanowire single-photon detectors (SNSPDs) **Application Instructions** + Cover Letter + Curriculum Vitae (CV) + Statement of Research Interests Additionally, arrange for three recommendation letters to be sent directly to Kaitlin Raimondi at ***************** , and confirm that your referees have submitted their letters. **Job Family** Postdoctoral **Job Profile** Postdoctoral Appointee **Worker Type** Long-Term (Fixed Term) **Time Type** Full time The expected hiring range for this position is $70,758.00-$117,925.00. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click here (******************************************** to view Argonne employee benefits! _As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law._ _Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department._ _All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment._

How you will make 10x impact: General description: A machine learning/artificial intelligence specialist with experience in LLM and reinforcement learning post training. * Collaborating with the X Project team to design and develop machine learning approaches/algorithms to support the project's mission * Understanding the project's goals and challenges and conduct relevant literature surveys * Suggesting agentic RL solutions in which machines/approaches/algorithms/models can apply to those challenges * Prototype/train/evaluate RL algorithms, tools and components of large scale AI systems * Engaging with the resident community during the program, engaging with the X community, attending colloquia and tech talks. This project aims to push the limits of science and modeling as we know them and to prove how ML can radically accelerate our understanding of the world * Location: X's headquarters in Mountain View, CA * Start Date(s): Early 2026 * Duration: a flexible full-time 4 mo. to 1 year program based on project team needs and your availability Throughout your AI Residency you can expect: * To be embedded into one of our confidential or public X projects * To get paid competitively and receive benefits * To be a part of a lively community of AI and ML Residents * To attend tech-talks with AI leaders from across X What you should have: * Currently enrolled in a PhD program in a STEM field such as CS, Physics, Engineering or Mathematics/Statistics with a strong interest in machine learning. * Strong experience with one or more general purpose programming languages such as Python, C/C++. * Experience with reinforcement learning (RL) and large language models (LLMs). * Ability to set up RL infrastructure and synthetic data generation pipelines. * Familiarity with operations research (OR) problems and their formalization. * Knowledge of basic ontologies and programmatically constructing knowledge graphs (KG) from structured and unstructured data. It'd be great if you also had these: * Open-source projects that demonstrate relevant skills and/or publications in relevant conferences and journals (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, COLM, ACL/EMNLP, ICASSP). * Experience with GRPO/DAPO based online reinforcement learning with LLMs(7B+) on multi-GPU settings. * Ability to produce code (e.g., in Google OR-Tools) and define rewards for formalized optimization problems. * Experience translating natural language into formal graph query languages (Cypher, SPARQL). * Experience using frontier LLMs (e.g., Gemini-Pro) to generate large-scale, high-quality synthetic datasets with automated verification steps. Additional public information: ****************************************************************************************** ******************************************************************************************************** The US base salary range for this position is $109,000 - $150,000 + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include benefits.