Researcher jobs in Massachusetts

At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality 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. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications [choose correct set based on focus of role]: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $214,500 - $244,800 for Applied Researcher IMcLean, VA: $214,500 - $244,800 for Applied Researcher INew York, NY: $234,000 - $267,000 for Applied Researcher ISan Francisco, CA: $234,000 - $267,000 for Applied Researcher ISan Jose, CA: $234,000 - $267,000 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Are you a problem solver looking for a hands-on internship position with a market-leading company that will help develop your career and reward you intellectually and professionally? Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at ************** and on LinkedIn and Twitter (X). At ADI, you will learn from the brightest minds who are here to help you grow and succeed. During your internship, you will make an impact through work on meaningful projects alongside a team of experts. Collaborating with colleagues in an environment of respect and responsibility, you will create connections that will become a part of your professional network. ADI's culture values aligned goals, work-life balance, continuous and life-long learning opportunities, and shared rewards. The internship program features various lunch-and-learn topics and social events with other interns and full-time employees. At ADI, our goal is to develop our interns so they are the first to be considered for full-time roles. Apply now for the opportunity to grow your career and help innovate ahead of what's possible. Bioelectronic Platforms Research Intern The Deep Tech Solutions (DTS) group seeking a motivated, experienced Bioelectronic Platforms Research Intern to support our Innovation Center and Corporate Incubation Labs (Analog Garage) located at ADI's Boston office. The Analog Garage mission is to empower ADI by pioneering breakthrough technologies. The DTS group is applying world-class circuit and device design, and nano-scale fabrication to develop long-term solutions to big societal problems. You will join the team which is leveraging proven and mature semiconductor technologies to solve challenging problems in biology and human health. Responsibilities include, but are not limited to: Model and develop constraints for integrated circuit systems based on research and experimental results. Develop blocks for integrated circuits and evaluate them with simulations using industry standard IC Design tools. Present findings of your research and proposed solution to DTS leadership team. Support our test and lab staff with evaluation of new devices developed by the team. Minimum qualifications Master's or PhD candidate in Electrical engineering. Mixed-signal IC design and simulation experience. Previous experience working with test and lab equipment for evaluation of IC devices. Strong hands-on technical skills. A strong background in academic or industry research. Preferred qualifications (CMOS Design Oriented): Background in CMOS design for biological systems, MEMS, optics or photonics would be considered an asset. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group . For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. EEO is the Law: Notice of Applicant Rights Under the Law. Job Req Type: Internship/CooperativeRequired Travel: NoThe expected wage range for a new hire into this position is $22 to $41. Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

NVIDIA is seeking exceptional security and privacy researchers to contribute to the development of secure, private, and safe systems. In particular, security, privacy, and safety concerns are increasingly limiting the access and use of data in AI as well as the use of AI in critical use cases. In order to enable trustworthy AI systems in the future, all layers of AI systems need to be co-designed and co-optimized to provide strong, verifiable protection while still maximizing performance and energy efficiency. We are seeking candidates that have a proven track record of research excellence, a broad perspective on security/privacy across the full hardware/software stack, and depth in one of the layers such as computer architecture, programming languages, software systems, applied cryptography, and AI/ML algorithms. NVIDIA has pioneered programmable GPUs and the CUDA language, and is a world leader in accelerated computing and AI systems, with aggressive plans for future system developments. This position offers you the opportunity to have a real impact in a dynamic, technology-focused company. What you'll be doing: * Understand and analyze the potential vulnerabilities and risks in future systems for AI and AI-based systems. * Develop creative hardware, software, and algorithms to enable trustworthy AI systems with strong and verifiable security, privacy, and safety guarantees. * Collaborate with a diverse set of teams across the company, spanning software, hardware, research, and product groups. * Publish original research and speak at conferences and events. What we need to see: * You are pursuing a Ph.D. in CE/CS/EE with a strong background in computer architecture, operating systems, programming. languages/compilers, applied cryptography, and/or AI/ML (or equivalent experience). * Demonstrated expertise in at least one specific security area (applied cryptography, programming languages, software systems, AI/ML algorithms, computer architecture, etc) with the ability to become the go-to resource within a team having varied backgrounds. * Strong publication and research collaboration records. * Experience with experimental research and development. * Experience with C, C++, Python, and/or scripting languages. NVIDIA is widely considered to be one of the technology world's most desirable employers! We have some of the most hardworking, resourceful and dedicated people in the world working for us. Are you a creative and collaborative security researcher who loves the challenge of exploring and crafting techniques that will impact our future products? If so, we want to hear from you! Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 30 USD - 94 USD. You will also be eligible for Intern benefits. Applications for this job will be accepted at least until October 13, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description Responsible for the execution and analysis of experiments and analytical procedures. Displays an investigative or technological orientation in designing, executing and interpreting experiments and analytical procedures.Provides assistance in the execution of experiments and analytical procedures by performing routine scientific procedures and experiments according to detailed protocols. Integrates, compiles, and tabulates data and reports results to supervisor. Work is closely supervised. Assignments are task-oriented with detailed instructions. Follows standard practices to obtain data. Contributes to the completion of routine technical tasks. Failure to achieve results can normally be overcome without serious effect on schedules and programs. Contacts are primarily with immediate supervisor and other personnel in the section or group. Experience 0-3 years Skills: The candidate should have a B.S. degree in Biology, Bioengineering, or related field and a minimum of 3 years of experience with protein purification with FPLC (AKTA) systems. The candidate must have excellent organizational skills and be able to work as part of a team in a dynamic environment. Experience in mass spectroscopy is a benefit. Additional Information For more information, Please contact Rakshak singhal ************

Meta is committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, optimization, natural language processing, machine learning, reinforcement learning, computational statistics, applied mathematics and security/privacy. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year. Minimum Qualifications * Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or relevant technical field * Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment * Experience with Python, C++, C, Java or other related languages * Experience with deep learning frameworks such as Pytorch or Tensorflow Preferred Qualifications * Intent to return to degree program after the completion of the internship/co-op * Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, CCS, IEEE S&P, MLSys, or similar * Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches * Experience building large-scale machine learning systems and training with large datasets * Experience communicating complex research in a clear, precise, and actionable manner * Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) * Experience working and communicating cross functionally in a team environment Responsibilities * Develop novel state-of-the-art algorithms and corresponding systems, leveraging various deep learning techniques * Analyze and improve various aspects of the corresponding algorithms and systems, including efficiency, scalability, stability, fairness, security, and privacy * Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence * Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results * Publish research results and contribute to research that can be applied to Meta product development About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

At Toyota Research Institute (TRI), we're on a mission to improve the quality of human life. We're developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we've built a world-class team in Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics. This is a Summer 2026 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role. Team TRI's Optimization team applies mathematical optimization techniques to enhance all aspects of Toyota's business. Our current topics include mixed-integer optimization for factory logistics, diffusion models for engineering design, and the interplay between continuous optimization and Generative AI. About the Internship We are looking for a motivated intern to pursue new avenues of research consistent with the team's mission. This is an opportunity to apply your knowledge to novel research questions and work towards a publication with professional researchers. The internship will be in our Cambridge office and includes competitive compensation befitting the challenging, but fun, nature of the research work at TRI. Applicants with relevant publications in the fields above and good collaboration skills are highly encouraged to apply. Responsibilities * Define project scope and agree on project direction with your mentor. * Undertake a well-scoped research project in a relevant area and bring it to publication in an appropriate venue. * Have a high level of self-initiative to prioritize and manage workload and meet project deadlines in a dynamic environment. * Work and collaborate with other stakeholders and HID team members. Qualifications * Current Ph.D. student in related fields - ML/AI, optimization, computer science, applied mathematics, or similar. * Publication background in relevant venues (e.g. NeurIPS, ICML, ICLR, SIOPT, Math Programming). * Proficient at Linux, PyTorch. * Experience with distributed computing (e.g. AWS) a plus. Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position. The pay range for this position at commencement of employment is expected to be between $40 and $58/hour for Massachusetts-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Marlborough, MA, United States **Dive Into Health Innovation: Outcomes Research Summer Internship** Are you curious about the stories data can tell and passionate about making a real impact in healthcare? Join our Outcomes Research team at Hologic, where scientists and strategists work together to pave the way for new products that help people live healthier lives. As our Summer Intern, you'll get hands-on with meaningful projects, learn from experts, and help shape the future of women's health-all while building skills that will last a lifetime. **What you'll be up to during your 10-12 week adventure:** + Analyze scientific datasets, including medical insurance claims data (think detective work, but with spreadsheets). + Review insurance payer policies to spot gaps in clinical and economic evidence. + Help develop health economic models that influence real-world healthcare decisions. + Conduct scientific literature reviews to support our projects. + Learn the ins and outs of the U.S. reimbursement environment and how it impacts patient care. **Who we're hoping to meet:** + You can work full-time during the summer (May/June - August/September). + You're currently working on your Master's degree, with at least one semester left after the internship. + Your major is in epidemiology, public health, medical sciences, biostatistics, or something similar. + You know how to get your point across, whether you're writing or speaking. + You're comfortable with MS Office (Excel, Word, PowerPoint) and not afraid to use them. + You're curious, resourceful, and love solving puzzles (especially the data kind). + You're excited to work with a team that's all about collaboration and innovation. **Location, pay & other important details:** + You can work **onsite** at our **Marlborough, MA** campus. **Heads up** : intern housing, relocation, and housing stipends aren't provided, so you'll need to have your living situation and transportation sorted out. + Pay range: $35 per hour, based on your class standing and operational function. + The chance to work with a team that's genuinely invested in your growth. + Networking, mentorship, and skill-building opportunities-all designed to help you thrive. **Take your internship to the next level at Hologic!** When you join Hologic as a Summer Intern, you're not just clocking in for a job-you're jumping into a global team full of motivated, creative, and dedicated people (basically, your future favorite coworkers). This is your chance to shine, show off what you know, and bring your energy and ideas to projects that make a real difference for people all over the world. On top of hands-on experience in your field, our College Relations team will hook you up with opportunities to learn about the company, meet leaders, and build the skills you'll need to launch your career. Consider this your backstage pass to the future of healthcare innovation. **Hologic, Inc. is proud to be an Equal Opportunity Employer inclusive of disability and veterans.** \#LI-EK1

Quantitative Research Intern - Chicago, New YorkAt BAM, our Researchers collaborate across all asset classes, delivering a wide range of quantitative practices from risk management, big data analysis, AI, LLM, and more. The models built by our QR team power our quantitative strategies and enhance our investment process. As a QR Intern, you will go through a hands-on 10-week program designed to take your research abilities to the next level. You will have the opportunity to solve complex, real-world problems and make an impact by enhancing our investment and trading frameworks and strategies. Our program offers mentorship and collaboration with senior members of the team in addition to the opportunity to expand your network with the greater intern cohort. QR interns will be hired into our Systematic, Multi-Asset Arbitrage, Risk and Portfolio Construction teams. Overview of QR Research Internship Opportunities at BAM:Systematic Research interns are tasked with analyzing textual data using advanced NLP models to develop actionable trading signals. Multi Asset Arbitrage Research interns are tasked with building, supporting, and integrating globally accessible quant trading infrastructure and interacting with Portfolio Managers and Quant Researchers to build requisite toolkits Alpha Capture Research interns are tasked with developing alphas utilizing LLM and machine learning methods to enhance our trading strategies within a L/S Equity investment team. Quant Risk Management interns are tasked with working alongside Sr. Researchers and Risk Managers to improve framework models and conduct research analysis of the investment process to deliver insights related to portfolio construction and risk exposures. Portfolio Construction Research interns are tasked with conducting factor model research and building tools that are essential to equity factor that are used throughout the firm. Qualifications:· Masters or PhD student graduating between December 2026 or May 2027 that is pursuing a degree in Mathematics, Statistics, Computer Science, or related quantitative field. Exceptional Bachelors students with interdisciplinary backgrounds will also be considered. · Strong knowledge of probability and stats (ML/NLP)· Familiarity with language models such as BERT, GPT, and XLNet, and NLP related publications is a plus· Programming proficiency in python· Experience working with large, complex datasets and building predictive models· Prior independent research experience in a data-driven environment· Outstanding analytics skills and attention to detail· Ability to clearly communicate complex and technical subject matters· Pragmatic and have a can-do attitude in approaching real-world investment problems· Results driven mindset, ability to work in an ambiguous environment, and work collaboratively within a team environment Opportunities are available in our Chicago and New York

Program: The Fellowship will provide a two-year mentored training experience in research focused on cancer health policy at Dana-Farber Cancer Institute (DFCI) and Beth Israel-Deaconess Medical Center (BIDMC), which are both Harvard Medical School teaching hospitals. This unique program brings together expertise in cancer care delivery research (Dana-Farber's Center for Outcomes and Policy Research), along other Population Sciences pillars (DFCI's cancer genetics, health communication, clinical computational oncology), and health policy (BIDMC's Health Policy Section at the Smith Center for Outcomes Research), providing an exceptional environment for postdoctoral fellows to develop and carry out research at the intersection of oncology and health policy under shared mentorship between these programs. Goal: To develop the next generation of leaders in oncology and health policy by providing rigorous training in the use of big data, advanced biostatistical methods, and econometric approaches, paired with dedicated mentorship from experts to advance innovative, high-impact research. A two-year joint post-doctoral training program between the Division of Population Sciences at Dana-Farber Cancer Institute and the Richard A. and Susan F. Smith Center for Outcomes Research at Beth Israel Deaconess Medical Center. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Responsibilities * Post-doctoral fellows will spend two years (starting July 2026) conducting mentored research. * The fellow will be housed within the Division of Population Sciences at Dana-Farber Cancer Institute (DFCI) in Boston, Massachusetts, which will provide space, salary support, the support of an experienced mentor in the Division, and opportunity to participate in seminars on cancer care delivery research, genetics and prevention, and/or clinical computational oncology. * The fellow will also receive joint mentorship and training at the Smith Center for Outcomes Research (BIDMC), including support of an experienced mentor in health policy, participation in seminars focused on health policy and statistical methods for causal inference, access to diverse national data sources, and analytic support. * Based on interests identified at the time of application, the fellow will be guided toward appropriate mentors who will provide research oversight and supervision. * The mentors will work closely with the fellow to refine research questions, develop study designs, and create rigorous analytic plans. * They will provide ongoing guidance to fellows to ensure successful execution of the research and will actively support dissemination of research findings through talks and publications. * During the two-year fellowship, we will encourage submission of a K series or other career development award to ensure a successful transition to an independent faculty position upon completion of the program. Faculty Co-Directors:Jennifer Mack, MD MPH, Director of the Center for Outcomes and Policy Research and Associate Chief of the Division of Population Sciences, DFCIRishi Wadhera, MD, MPP, MPhil, Director of the Health Policy Section of the Richard A. and Susan F. Smith Center for Outcomes Research, BIDMC Funding:Salary is supported by the McGraw/Patterson fund in the Division of Population Sciences at Dana-Farber Cancer Institute. Interested applicants should send the following to Nicole Santangelo (Nicole_***************************) by December 12, 2025: * A completed application * Curriculum vitae * 2-3 letters of professional recommendation, submitted directly to Nicole Santangelo at the address above * A one-page statement describing professional background and training to date (Arial 11-point font, single spaced, 1 inch margins) * A one-page statement describing research interests, career goals, and interest in the fellowship (Arial 11-point font, single spaced, 1 inch margins) Qualifications * Applicants must have completed a Ph.D. or M.D. degree in medicine, public health, or a related field in order to apply (or have an anticipated degree by July 2026) * Applicants may be in a clinical field (eg, medicine, nursing) or a non-clinical discipline (eg, health policy, economics, social sciences). * Applicants from a clinical field should have training in a field relevant to cancer health policy. Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $72,000 - $76,385 At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEOC Poster

About the Job The Researcher, Talent Acquisition leads and performs research activities for executive level, management level, and hard-to-fill positions within Foundation Medicine. This role independently uses a range of sourcing skills including research, networking, and candidate development to identify the best talent for Foundation Medicine across all functions. Key Responsibilities * Conduct research to map Foundation Medicine's markets and generate candidate names and profiles. * Identify industry trends and insights to inform the creation of robust search strategies that will attract the best candidates for Foundation Medicine to consider. * Partner effectively on searches with TA leaders across the team. Successfully collaborate on team-based recruiting efforts to meet the hiring demands of the business. * Calibrate candidates with recruiters and/or hiring managers. * Build a proactive pipeline of talent for critical functions/industries. * Maintain data integrity in our candidate management system. * Initial candidate outreach and screening for basic qualifications. * Contribute to the knowledge base of the Talent Acquisition team by providing education on industries and talent pools/profiles. * Draw off knowledgeable industry sources to develop pools of candidates. * Participate in client update meetings on active searches and prepare reports. * Think outside of the box, pivoting search strategies as needed. * Leverage analytics from both internal and external tools/resources to innovate and improve our current executive search and Talent Acquisition systems and processes. * Provide strategic guidance and advice in partnership with Talent Acquisition and executive leadership. * Identify and showcase exceptional diverse talent to be considered for opportunities at Foundation Medicine. * Other duties as assigned. Qualifications: Basic Qualifications: * Bachelor's Degree * 3+ years of recruiting or human resources experience, with 1+ year(s) of experience in talent research/pipelining Preferred Qualifications: * 3+ years of progressively responsible experience in talent research, either for an in-house executive search team in a highly demanding, fast-paced company, or in a large retained executive search company or boutique * Life sciences industry experience * Established history of delivering quality senior-level candidate flows that have led to successful hires * Deep expertise in leveraging LinkedIn Recruiter, LinkedIn Insights, Google, and other tools to source candidates * Demonstrated success with and passion for using various sourcing techniques * Ability to work autonomously and as part of a team * Ability to meet growing pipeline demand in a dynamic environment * Demonstrated acumen and passion for executive search and talent acquisition * Demonstrated experience in setting priorities and effectively managing multiple projects * Exceptional research, executive sourcing, and assessing skills * Effective oral and written communication skills with the ability to convey complex concepts with senior level executives in a polished and professional manner * High attention to detail with a strong sense of urgency * Hands-on and detailed approach to key initiatives and activities execution * Skilled at conflict resolution and problem-solving to achieve win-win outcomes * Understanding of HIPAA and importance of privacy of patient data * Commitment to reflect Foundation Medicine's values: Integrity, Courage, Passion The expected compensation for this position based on the primary location of Remote is $40 - $55/hour. The hourly rate is commensurate with Foundation Medicine's compensation practice and considers factors including, but not limited to, education, training, experience, external market conditions, criticality of role, and internal equity. A discretionary annual bonus may be available based on individual and Company performance. #LI-Remote

Acadian Asset Management is a global, systematic investment manager at the forefront of data-driven investing since 1986. Headquartered in Boston, with locations in Singapore, London, and Sydney, we manage over $120 billion on behalf of leading institutions worldwide-including pension funds, endowments, foundations, and sovereign wealth funds. We harness advanced technology, rich datasets, and multidisciplinary expertise to help clients navigate complex markets and uncover insights that may be overlooked by traditional approaches. What sets Acadian apart is our people. We foster a collaborative, intellectually curious environment where ideas are tested, diverse perspectives are welcomed, and innovation thrives. We're united by a shared purpose: delivering effective client outcomes and supporting one another in work that's both challenging and rewarding. We offer a flexible hybrid work environment, strong benefits, and a casual but focused office culture-all designed to support the meaningful, collaborative work that defines Acadian. Position Overview: We are seeking several exceptionally talented and motivated individuals for the position of Quant Research Intern. Interns will have the opportunity to work with senior researchers and portfolio managers. This is a hands-on opportunity for individuals to gain experience at a top-tier quantitative investment management firm. Successful candidates will apply their skills in a dynamic work environment to support the development of sophisticated investment models. Acadian supports a hybrid work environment; Interns will be expected on-site in the Boston office a minimum of 3 days a week. What You'll Do: Conduct ground-breaking research to generate enhancements to Acadian's systematic equity models, portfolios, and trading practices. Assist with portfolio oversight across different strategies, including risk management and attribution. Explore new datasets, apply sophisticated statistical techniques, and write code to develop signals for predicting equity returns. We're Looking for Teammates With: Progress towards a Bachelor's, Master's, or PhD degree in finance, math, computer science or other analytical discipline required Programming experience required; working knowledge of Python and SQL preferred Strong statistics and data management skills and a willingness to independently dissect, evaluate, and interpret results Ability to translate qualitative intuition and insights into testable hypotheses Motivation to learn quickly and formulate ideas independently Superior written and verbal communication skills Ability to work autonomously and in collaboration with other interns and investment professionals To apply for this position or view Acadian's open roles, please visit the Careers section of our website at: ******************************************************* We will contact only selected candidates. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at ****************************. Acadian Asset Management LLC is committed to providing equal employment opportunity to all employees and applicants. No employee or applicant shall be discriminated against on the basis of gender, race, creed, color, sex, age, national origin, marital status, pregnancy or parenthood, veteran status, citizenship status, disability, gender identity, or sexual orientation.

, Inc. QuEra Computing is building the world's most powerful neutral-atom quantum computers. Our systems are designed to scale and enable groundbreaking advances in science and technology. We collaborate closely with leading academic and industry partners to push the boundaries of quantum computing, error correction, and fault tolerance. Summary QuEra Computing Inc. seeks a Quantum Error Correction (QEC) Research Intern to join our growing team of scientists and engineers developing hardware-efficient and scalable quantum error correction schemes. As an intern, you will work alongside experts in theoretical and experimental quantum information to help design, simulate, and analyze error correction strategies for our neutral-atom quantum computing platform. This role offers an exceptional opportunity to gain hands-on experience at the intersection of theory and hardware, contributing directly to the development of large-scale fault-tolerant quantum computation. Possible internship projects include development of novel logical gate schemes with low overhead, improved decoding methods, and implementation of QEC protocols on state-of-the-art quantum hardware. Applications will be reviewed on a rolling basis, and those received before Dec. 15, 2025 are guaranteed full consideration. Qualifications Solid background in quantum computing and quantum error correction Strong communication skills and enthusiasm for cross-disciplinary collaboration Preferred Qualifications Currently enrolled in or have completed a Ph.D. program in Physics, Computer Science, or a related field Strong programming skills and experience with numerical simulation tools (e.g., Stim, decoders, or other custom code) Familiarity with experimental or hardware-informed QEC implementations Why Join QuEra? You will be part of a collaborative, fast-moving team at the forefront of quantum technology. This internship offers exposure to both cutting-edge theory and practical implementation, with opportunities to contribute to peer-reviewed research and real-world quantum hardware development. On-site internship. There is no relocation offered for this role. QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

The CompanyTutor Intelligence is building the technology and processes to let robots go where they've never gone before: the average American factory. We understand that general-purpose and generally-intelligent robots are going to be built in our lifetimes , and we're combining human and artificial intelligence to lead the charge. As an AI software company who deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy. The RoleTutor Intelligence is using AI to learn from a large fleet of robots to do useful work factories. As a research intern, your work lies at the center of this challenge, building the AI algorithms and systems that drive novel capabilities in the lab and in the field. This is a unique opportunity to see your work at scale in a fast-paced research organization developing and deploying novel robot learning algorithms on real hardware at massive scale. At the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers and researchers shape their own roles to best tackle the frontier of robotics development. We're looking for interns who can start in December 2025/January 2026 and join us for ~4 months to do substantial, impactful work.Requirements Exceptionally strong programming skills You should have significant research experience, including first author publications at top-tier peer-reviewed conferences (e.g., ICRA) Natural collaborator, excited to work closely with a team of researchers and engineers Research experience, practiced at solving open-ended problems Excited to reshape the physical economy by filling factories with intelligent robots Not afraid to step foot in a factory or a warehouse Nice to haves (zero or more) Experience training and improving AI models, especially models used in robotics (e.g., diffusion policy) Advanced proficiency with Python Experience with robot arms / manipulation Experience with motion planning and robot optimization Experience with perception or computer vision (deep or classical) Experience with infra and devtools (systemd, Docker, Kubernetes)

Job Description Full-Time Core Faculty Position, Clinical Psychology Department (Statistics & Research) William James College announces an opening for a full-time Core Faculty position in the Doctoral Clinical Psychology Department beginning on August 4, 2026. Rank and salary are commensurate with experience and the benefits are highly competitive. The minimum starting salary for this academic position is $90,000 and is consistent with the department's salary equity considerations for incoming faculty. William James College is dedicated to preparing professionals who serve individuals, families, and communities through rigorous education, applied training, and public service. The College values collaboration, respect, and inclusive excellence across its academic, clinical, and community settings. Responsibilities: Core faculty members are involved in teaching, advising, and research supervision, as well as contributing through committee work and scholarly productivity. We are seeking applicants with demonstrated competence and enthusiasm for teaching Statistics and Research Methods at the doctoral level. Expertise in areas such as research design, quantitative and/or qualitative analysis, and applied data interpretation in clinical psychology is highly desirable.We are especially interested in candidates with a strong appreciation for and commitment to WJC's core values of experiential education, social responsibility, and personal growth.The successful candidate will teach courses such as Statistics and Research Methods and will also supervise student research and dissertations aligned with their area of expertise. In addition to the above criteria, candidates qualified to teach one or more of the following courses are preferred: Leadership and Management of Systems . This course prepares students to lead and function well within the policies and systems that determine the professional roles and effectiveness of clinical psychologists. Program Development and Evaluation. This course trains students to design and develop, manage, and objectively evaluate clinical treatment and other psychologically-informed programs. Advanced Clinical Practice. This course guides students in developing advanced skills in conceptualizing cases and creating treatment plans for children, adolescents, and adults. The successful candidate may also teach generalist foundational courses in the Clinical Psy.D. program. Qualifications: Applicants must possess a PsyD or PhD in Clinical Psychology or Counseling Psychology, have completed an APA-accredited internship, have teaching experience, preferably be licensed or license-eligible in Massachusetts, and maintain some involvement in clinical practice or consultation. A demonstrated record of scholarly work defined broadly (e.g., community engagement, educational leadership, innovation, investigation, and research) is preferred. . Successful applicants will have a demonstrated commitment to fostering an inclusive, respectful, and equitable educational and workplace environment, and must be willing to contribute to the core values of the college. Candidates must be available to teach in-person classes and participate in on-campus activities. The department welcomes applications from individuals who may have had nontraditional career paths, or who may have taken time off for family reasons, or who have achieved excellence in careers outside of academia. Applicants MUST be eligible employment in the United States without College requiring work visa sponsorship. Total Rewards: We are excited to offer an exceptional compensation and benefits package that prioritizes your well-being! Enjoy comprehensive health, vision, and dental insurance, along with flexible spending accounts. Benefit from company-paid life insurance, long-term disability coverage, and the chance to contribute to your retirement. Explore the professional development opportunities that support your growth. Join us and experience a rewarding workplace that strongly invests in your future! William James College is not-for-profit organization under Section 501(c)(3) of the Internal Revenue Code. Employment at William James College may qualify for The Public Service Loan Forgiveness (PSLF) program. studentaid.gov/manage-loans/forgiveness-cancellation/public-service#qualifying-employer Application Procedure: Review of applications occurs on a rolling basis and will continue until the position is filled. Interested applicants should submit: A detailed letter of intent responding to the stated qualifications. A curriculum vitae. A list of three professional references with complete contact information. (References will not be contacted without the applicant's prior permission.) William James College is an institution and community dedicated to the principles of excellence, fairness, and respect for all individuals. We are committed to strengthening our communities, including our workplace, by fostering the development of competencies essential for change agents in an increasingly complex society.

About the Opportunity This job seeks a postdoc to work on one or more projects related to the development and assessment of wearable robotics. Possible projects topics include: Developing machine-learning based exoskeleton controllers to work across tasks Designing and validating new robotic lower-limb prostheses Exploring other high-risk high-reward research areas related to device design, control, and evaluation The ideal candidate will lead their own project, and also collaborate with and support 1-2 PhD students on their projects. The ideal candidate will also be interested in learning to write grants, and develop their ideas further towards academic independence. Qualifications PhD in Mechanical Engineering, Biomedical Engineering, Robotics, or similar. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit ************************************* for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. Compensation Grade/Pay Type: 108S Expected Hiring Range: $59,425.00 - $83,935.00 With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

GBH enriches people's lives through programs and services that educate, inspire, and entertain, fostering citizenship and culture, the joy of learning, and the power of diverse perspectives. At GBH, we believe in the advantages of coming together to build community, mentor and learn from colleagues, and connect more deeply with our mission. As a result, the majority of our staff are hybrid and work both from home and onsite. Our current hybrid approach requires staff to work onsite a minimum of two days each week, every Tuesday and one other day, to be determined by their business unit. Hybrid staff are also welcome to come in additional days each week or may be asked to come in on other days by their manager. DEPARTMENT OVERVIEW NOVA is the most popular primetime science series on American television, demystifying the scientific and technological concepts that shape and define our lives, our planet, and our universe. The PBS series is also one of the most widely distributed science programs around the world, and is a multimedia, multiplatform brand reaching more than 55 million Americans every year on TV and online. NOVA's important and inspiring stories of human ingenuity, exploration, and the quest for knowledge are regularly recognized with the industry's most prestigious awards. As part of its mission to make the scientific enterprise accessible to all, NOVA is committed to producing work that is inclusive and accessible to all, from the production process to the range of stories we tell and voices we feature. In addition, science educators across the country rely on NOVA for resources used in the classroom as well as in museums, libraries, and after-school programs. NOVA is a production of GBH Boston; more information can be found at pbs.org/nova, or by following NOVA on Facebook, Twitter, or Instagram. JOB OVERVIEW Interns work closely with the editorial staff of NOVA's broadcast television program, including the Science Editor, Associate Researchers, and Producers. Interns work with particular film projects throughout the semester and are invited to join in reviewing cuts for all ongoing projects. Interns gain experience in research and development for broadcast television and learn how NOVA approaches science storytelling from beginning to end. They'll also have opportunities to learn from NOVA staff about a range of topics including digital video production, media rights and licensing, and audience development. In your cover letter, please tell us a bit about the perspectives you would bring to the job, perhaps related to your knowledge, experiences, or anything else you feel shapes the way you see the world and science's impact on it. RESPONSIBILITIES Fact-check film scripts Research storylines for upcoming programs Identify potential sources to interview for documentaries Review films for potential acquisition Review past films for rebroadcast Participate in editorial meetings Develop ideas for future programs Assist other teams as needed SKILL SET Strong research skills Strong writing and communication skills Attention to detail Self-motivation Ability to work with others Ability to work on deadlines Interest in science, technology, research, and communications Ability to juggle multiple projects JOB-STATUS Paid Internship $17/hour (Part-time, 20 hr/wk) INTERNSHIP OVERVIEW GBH internships provide students with valuable work experience and real-world knowledge across many fields of study, from TV and radio production to web design, accounting, law, and other administrative areas. INTERNSHIP PROGRAM Dates: January 26th to April 17th. Candidates must have their own computer and access to Wifi. Candidates must be in an Undergrad or Grad program and have work authorization for the United States. LOCATION Remote or Hybrid - 1 Guest Street, Boston, MA 02135 To learn more about our program, follow us on Instagram: ************************************* GBH is an equal opportunity employer. The community and audience we serve are diverse, and we wish to foster that diversity in our workplace. Toward that end, GBH does not discriminate against individuals in hiring, employment, or promotion based on race, religion, color, sex/gender, gender identity and gender expression, age, marital status, national origin, sexual orientation, citizenship, disability, veteran or military status, political belief, pregnancy, genetic information, or any other characteristic protected by law. Application Process AssistanceGBH will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate an accommodation request, contact the Human Resource department by sending an email to human_****************** or by calling ************.

Applied Researcher II (AI Foundations) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with 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. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Program: The Fellowship will provide a two-year mentored training experience in research focused on cancer health policy at Dana-Farber Cancer Institute (DFCI) and Beth Israel-Deaconess Medical Center (BIDMC), which are both Harvard Medical School teaching hospitals. This unique program brings together expertise in cancer care delivery research (Dana-Farber's Center for Outcomes and Policy Research), along other Population Sciences pillars (DFCI's cancer genetics, health communication, clinical computational oncology), and health policy (BIDMC's Health Policy Section at the Smith Center for Outcomes Research), providing an exceptional environment for postdoctoral fellows to develop and carry out research at the intersection of oncology and health policy under shared mentorship between these programs. Goal: To develop the next generation of leaders in oncology and health policy by providing rigorous training in the use of big data, advanced biostatistical methods, and econometric approaches, paired with dedicated mentorship from experts to advance innovative, high-impact research. A two-year joint post-doctoral training program between the Division of Population Sciences at Dana-Farber Cancer Institute and the Richard A. and Susan F. Smith Center for Outcomes Research at Beth Israel Deaconess Medical Center. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. + Post-doctoral fellows will spend two years (starting July 2026) conducting mentored research. + The fellow will be housed within the Division of Population Sciences at Dana-Farber Cancer Institute (DFCI) in Boston, Massachusetts, which will provide space, salary support, the support of an experienced mentor in the Division, and opportunity to participate in seminars on cancer care delivery research, genetics and prevention, and/or clinical computational oncology. + The fellow will also receive joint mentorship and training at the Smith Center for Outcomes Research (BIDMC), including support of an experienced mentor in health policy, participation in seminars focused on health policy and statistical methods for causal inference, access to diverse national data sources, and analytic support. + Based on interests identified at the time of application, the fellow will be guided toward appropriate mentors who will provide research oversight and supervision. + The mentors will work closely with the fellow to refine research questions, develop study designs, and create rigorous analytic plans. + They will provide ongoing guidance to fellows to ensure successful execution of the research and will actively support dissemination of research findings through talks and publications. + During the two-year fellowship, we will encourage submission of a K series or other career development award to ensure a successful transition to an independent faculty position upon completion of the program. Faculty Co-Directors: Jennifer Mack, MD MPH, Director of the Center for Outcomes and Policy Research and Associate Chief of the Division of Population Sciences, DFCI Rishi Wadhera, MD, MPP, MPhil, Director of the Health Policy Section of the Richard A. and Susan F. Smith Center for Outcomes Research, BIDMC Funding: Salary is supported by the McGraw/Patterson fund in the Division of Population Sciences at Dana-Farber Cancer Institute. **Interested applicants should send the following to Nicole Santangelo (Nicole_***************************) by December 12, 2025:** + A completed application + Curriculum vitae + 2-3 letters of professional recommendation, submitted directly to Nicole Santangelo at the address above + A one-page statement describing professional background and training to date (Arial 11-point font, single spaced, 1 inch margins) + A one-page statement describing research interests, career goals, and interest in the fellowship (Arial 11-point font, single spaced, 1 inch margins) + Applicants must have completed a Ph.D. or M.D. degree in medicine, public health, or a related field in order to apply (or have an anticipated degree by July 2026) + Applicants may be in a clinical field (eg, medicine, nursing) or a non-clinical discipline (eg, health policy, economics, social sciences). + Applicants from a clinical field should have training in a field relevant to cancer health policy. Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $72,000 - $76,385 At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. **EEOC Poster**

Full-Time Core Faculty Position, Clinical Psychology Department (Statistics & Research) William James College announces an opening for a full-time Core Faculty position in the Doctoral Clinical Psychology Department beginning on August 4, 2026 . Rank and salary are commensurate with experience and the benefits are highly competitive. The minimum starting salary for this academic position is $90,000 and is consistent with the department's salary equity considerations for incoming faculty. William James College is dedicated to preparing professionals who serve individuals, families, and communities through rigorous education, applied training, and public service. The College values collaboration, respect, and inclusive excellence across its academic, clinical, and community settings. Responsibilities : Core faculty members are involved in teaching, advising, and research supervision, as well as contributing through committee work and scholarly productivity. We are seeking applicants with demonstrated competence and enthusiasm for teaching Statistics and Research Methods at the doctoral level. Expertise in areas such as research design, quantitative and/or qualitative analysis, and applied data interpretation in clinical psychology is highly desirable.We are especially interested in candidates with a strong appreciation for and commitment to WJC's core values of experiential education, social responsibility, and personal growth.The successful candidate will teach courses such as Statistics and Research Methods and will also supervise student research and dissertations aligned with their area of expertise. In addition to the above criteria, candidates qualified to teach one or more of the following courses are preferred: Leadership and Management of Systems. This course prepares students to lead and function well within the policies and systems that determine the professional roles and effectiveness of clinical psychologists. Program Development and Evaluation. This course trains students to design and develop, manage, and objectively evaluate clinical treatment and other psychologically-informed programs. Advanced Clinical Practice. This course guides students in developing advanced skills in conceptualizing cases and creating treatment plans for children, adolescents, and adults. The successful candidate may also teach generalist foundational courses in the Clinical Psy.D. program. Qualifications : Applicants must possess a PsyD or PhD in Clinical Psychology or Counseling Psychology, have completed an APA-accredited internship, have teaching experience, preferably be licensed or license-eligible in Massachusetts, and maintain some involvement in clinical practice or consultation. A demonstrated record of scholarly work defined broadly (e.g., community engagement, educational leadership, innovation, investigation, and research) is preferred. . Successful applicants will have a demonstrated commitment to fostering an inclusive, respectful, and equitable educational and workplace environment, and must be willing to contribute to the core values of the college. Candidates must be available to teach in-person classes and participate in on-campus activities. The department welcomes applications from individuals who may have had nontraditional career paths, or who may have taken time off for family reasons, or who have achieved excellence in careers outside of academia. Applicants MUST be eligible employment in the United States without College requiring work visa sponsorship. Total Rewards: We are excited to offer an exceptional compensation and benefits package that prioritizes your well-being! Enjoy comprehensive health, vision, and dental insurance, along with flexible spending accounts. Benefit from company-paid life insurance, long-term disability coverage, and the chance to contribute to your retirement. Explore the professional development opportunities that support your growth. Join us and experience a rewarding workplace that strongly invests in your future! William James College is not-for-profit organization under Section 501(c)(3) of the Internal Revenue Code. Employment at William James College may qualify for The Public Service Loan Forgiveness (PSLF) program. studentaid.gov/manage-loans/forgiveness-cancellation/public-service#qualifying-employer Application Procedure: Review of applications occurs on a rolling basis and will continue until the position is filled. Interested applicants should submit: A detailed letter of intent responding to the stated qualifications. A curriculum vitae. A list of three professional references with complete contact information. (References will not be contacted without the applicant's prior permission.) William James College is an institution and community dedicated to the principles of excellence, fairness, and respect for all individuals. We are committed to strengthening our communities, including our workplace, by fostering the development of competencies essential for change agents in an increasingly complex society.