Research internship jobs in Union, NY

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The Fine Lab The Fine lab is a Neuro-oncology research group that makes use of complex 3D human brain tumor models (GLICOs: ********************************************* ********************************************* to perform translational research into glioblastoma. We are a diverse, multinational and interdisciplinary team (MD/PhDs, cell/ molecular biologists, veterinarians & bioinformaticians) with a vibrant research and training environment in the Tri-Institutional Campus of New York City. We have secure funding and exceptional access to patient tissue/cell lines, as well as cutting edge scientific resources and training. The Role The successful candidate will be trained to work with embryonic stem cell-derived cerebral organoids interfaced with tumor stem cell biology, to facilitate High Throughput drug screenings. They will be a key personnel of the incipient Starr Foundation Cerebral Organoid Translational Core and will report to its supervisor. In achieving this goal, the candidate will have the opportunity to perform, and receive training in, a wide range of laboratory techniques including: reprogramming of induced pluripotent stem cells (iPSCs), embryonic and induced pluripotent stem cell culture, the generation and culture of cerebral organoids and tumor organoids and the use and development of cell based assays to test novel therapeutic drug candidates, and cutting edge gene editing and molecular biology techniques. They will be an integral member of the lab with the ability to work independently, contribute to experimental design, interpret and present your results to the wider team, and receive recognition through authorship on published work. Job responsibilities Collect and process biological patient specimens to establish glioma stem cell lines. Perform routine human iPSC/ESC culture. Generation and maintenance of hESC-derived cerebral organoids. Perform 2D and 3D high-throughput drug screening using luminescence-based assays. Prepares and maintains detailed records, logs and summary reports of all procedures and results including graphs, scientific calculations, and statistical analysis charting. May run routine biochemistry assays including western blotting and RT-PCR. May perform routine molecular biology laboratory procedures, such as PCR, DNA electrophoresis, cloning and DNA preparation. May perform microscopic imaging analyses. Minimum requirements: • Commitment to delivering meaningful advancements that directly enhance patient care and well-being. • Bachelor's degree in a relevant technical field (e.g. cell/ molecular biology, neuroscience, biochemistry) or equivalent practical experience. • One year ‘wet lab' work experience, including mammalian cell culture. • Strong teamwork skills with a proven ability to effectively interact and collaborate with other scientific disciplines. • Must currently be authorized to work in the United States to ensure immediate onboarding and integration into the team. Preferred qualifications • Master's or Ph.D. degree in a relevant technical field (e.g. cell/ molecular biology, neuroscience, biochemistry). • Experience culturing human stem cells (hESCs/ iPSCs) and 3D models. • Significant hands-on cell based assays for high throughput drug screening. • Experience generating stable, genetically engineered cell lines; working with lentivirus. • Experience in biochemistry assays including western blotting and RT-PCR. The position will be subject to annual approvals based on performance, with a starting salary commensurate with qualification and experience. It will require flexibility to work a few hours twice per month over the weekend given the nature of cerebral organoid generation procedures. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. Minorities are strongly encouraged to apply.

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 I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San 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 ; 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).

Source One is a consulting services company and we're currently looking for the following individual to work as a consultant with our direct client, a global Pharmaceutical Manufacturing client in Spring House, PA. No Third-Party, No Corp to Corp, No Sponsorship. Must be able to work in the US and must not require sponsorship for employment visa status now or in the future (e.g., FI, H1-B status) Title: Research Scientist IV Location: Spring House, PA Onsite (Mon-Fri, 40 hours) Contract Duration: 12 months, with likely extension Pay Rate: $67.88 per hour (w2) Key Responsibilities: • Support membrane protein expression and purification. • Conduct protein production, purification and characterization. • Characterization and quality check of membrane proteins to support biotherapeutics development. • Collaborate effectively in a multi-team environment. • Contribute to both internal and external efforts in membrane protein production. Education: • Minimum of BS Degree with a minimum of 2-4 years of academic/industry experience or MS Degree with a minimum of 1-2 years is required. Required Skills: • Experience with membrane protein expression and optimization, purification, and characterization of proteins • Well-versed with analytical characterization to determine quality, conformation, purity and stability • Knowledge of protein expression construct design and optimization, and expression platforms • Excellent communication skills to collaborate with internal and external partners Preferred: • Proficient in protein purification optimization, detergent screening, and reconstitutions into lipid nanodiscs • Experience in independently operating AKTA FPLC and analytical HPLC instruments • Experience in generating DNA/RNA constructs and or other tools as antigen for supporting antibody discovery • Knowledge and experience with CROs for protein production

Department: T&S Asset Management Manager: T&S Asset Management Work Type: In Office is dependent upon experience and location ranging from $77k-$82k. Team Description: Avangrid's Asset Management team plays a pivotal role in safeguarding infrastructure reliability by assessing the health, risk, and criticality of transmission and substation assets. Through data analysis, scoring algorithms, and lifecycle planning, the department ensures timely interventions and long-term system sustainability. Asset Management collaborates extensively across departments, influencing key decisions in operations, capital planning, and asset replacement programs. From risk modeling to equipment strategy, this team drives intelligent investment in the grid's future. Job Summary: General responsibilities include, supporting asset management initiatives by conducting assessments of operations and maintenance practices, analyzing inspection data, and contributing to health and risk scoring models. It includes assisting in the development of asset replacement and sparing strategies through benchmarking and internal reviews. The position also requires collaboration across teams to create comprehensive Asset Management Plans covering the full lifecycle of assets. Additionally, the role supports data reporting for stakeholders, helps lead asset-based programs such as SCADA automation and infrastructure upgrades, and contributes to the procurement and inventory planning for critical spare equipment like transformers and breakers. Education & Experience Required: * Bachelor of Science Degree in Electrical Engineering * Less than 2 years of work experience Rotations: * Rotation 1 - 9 Months - Asset Management: Understand scoring logic and investment prioritization * Rotation 2 - 9 Months - Maintenance Engineering: Learn how field inspections and testing drive planning inputs * Rotation 3 - 6 Months - Project Development: Apply risk insights to capital project proposals. Company: ROCHESTER GAS & ELEC CORP Mobility Information Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country. At Avangrid we provide fair and equal employment and advancement opportunities for all employees and candidates regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, disability, protected veteran status or any other status protected by federal, state, or local law. If you are an individual with a disability or a disabled veteran who is unable to use our online tool to search for or to apply for jobs, you may request a reasonable accommodation by contacting our People and Organization department at ********************. Avangrid employees may be assigned a system emergency role and in the event of a system emergency, may be required to work outside of their regular schedule/job duties. This is applicable to employees that will work in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate functions. This does not include those that will work for Avangrid Power. Avangrid employees may also be assigned a NERC Reliability Standards compliance role supporting Critical Infrastructure Protection (CIP) and/or Operations and Planning (O&P) responsibilities. This is applicable to employees that will work in electric transmission, operations, and cyber security business areas in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate business areas. NERC Reliability Standards compliance roles and responsibilities may include additional access protections, training, audit engagement, and required evidence retention, and will be communicated by the employee's management. Job Posting End Date:

The Monell Chemical Senses Center provides post-baccalaureate students with opportunities for hands-on lab research and other professional activities. Enrollment in any post-baccalaureate program Ability to commute to Monell (3500 Market Street, Philadelphia, 19104)

APPLICATION INSTRUCTIONS: * CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday. * CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday. * If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants. JOB DESCRIPTION AND POSITION REQUIREMENTS: Membrane Structural Biophysics at The Pennsylvania State University The Penn State College of Medicine, Department of Cellular and Molecular Physiology and the laboratory of Dr. Kenneth Lee, in Hershey, PA is seeking applications for a new NIH-funded Researcher position to study mechanisms and regulation of membrane transport at structural and functional levels. Ion channels, transporters and receptors connected to neurological disorders, metabolic diseases and cancer are principal areas of focus. We apply interdisciplinary approaches to investigate their structure, dynamics and function in situ and in vitro. We are looking for driven and responsible individuals with a doctorate degree in biochemistry, biophysics, neuroscience, molecular genetics, cell biology, chemistry or related fields. A track-record of productivity is required. Ideal candidates will possess a strong work ethic, a broad curiosity and a passion for discovery. Expertise in membrane protein biochemistry, cell imaging, electrophysiology, single molecule biophysics, molecular dynamics, cryo-EM/ET or X-ray crystallography will be a plus but not required. The Researcher will conduct research under the general guidance of the principal investigator and exhibits the ability to plan and implement experiments and analyze their results. They will perform a variety of routine experimental techniques in molecular biology, cell biology and/or biochemistry. They must be willing to respond promptly and accurately to inquiries, and requests for information and coordinates appropriate follow up. Work week may occasionally exceed 40 hours. Must be flexible and able to work evenings, weekends and holidays as necessary. Successful candidates will be immersed in a friendly and inclusive training environment with a diverse and vibrant community of scientists and health professionals. The lab enjoys routine on-site access to superb resources including a newly established state-of-the-art cryo-EM facility housing a 300 kV Titan Krios G3i cryo-TEM equipped with a Volta phase plate, Gatan BioQuantum energy filter and K3 direct electron detector. For an example of our recent work see Tillinghast et al, Molecular Cell 2021. Visit our website at ******************************* to learn more about us. Interested applicants should submit a cover letter, CV and contact information of three references to Dr. Kenneth Lee (******************). Employment will require successful completion of background check(s) in accordance with University polices. The Pennsylvania State University is committed to and accountable for advancing diversity, equity, and inclusion in all of its forms. We embrace individual uniqueness, foster a culture of inclusive excellence that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity, and engage all individuals to help them thrive. We value inclusive excellence as a core strength and an essential element of our public service mission. CAMPUS SECURITY CRIME STATISTICS: Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here. Employment with the University will require successful completion of background check(s) in accordance with University policies. EEO IS THE LAW Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact ************. Federal Contractors Labor Law Poster PA State Labor Law Poster Affirmative Action Penn State Policies Copyright Information Hotlines Hershey, PA

Team members are classified based on individual theatre needs, and/or employee availability, as either variable hour, part-time fixed, part-time regular or full-time hourly employees whose primary responsibility is ensuring our guests receive exceptional service. Team members may be scheduled to work in the Box Office, Concession Stand, or as an Usher. Team members employees must act as a representative of Regal in a way that is consistent with our mission statement and policies; including Regular and consistent attendance Handling of emergency situations when called upon to do so General cleaning duties; and Compliance with our company dress code. Essential Duties and Responsibilities for each position include, but are not limited to, the following: Box Office Operating POS system, including the proper handling of and responsibility for accuracy of cash drawer, credit cards, travelers' checks, gift cards and redeemed discount tickets, passes and coupons Up selling/suggestive selling of Premium Viewing Experience (3D, RPX, IMAX). Promoting the Regal Crown Club program Ensuring tickets are sold in accordance with the MPAA rating system and company policy Responding to phone calls and questions from guests in a manner that is consistent with our guest service philosophy Concession Operating POS system, including the proper handling of and responsibility for accuracy of cash drawer, credit cards, travelers' checks, gift cards and redeemed coupons as well as concession stock inventory. Promoting the Regal Crown Club program Operating, preparing and cleaning of all concession related equipment Up selling/Suggestive selling Complying with all local, state and federal food safety laws. Abide by all federal and state laws with regards to breaks and/or meal periods. Ensure required alcohol certification and training are current where applicable. If the theatre sells alcohol and your assigned duties will include the selling/serving of alcohol, you must be of legal age to sell or serve alcohol according to state or local laws. Required to read and understand training materials that will cover subjects such as sexual harassment and discrimination. Usher Tearing tickets, collecting and depositing appropriate stub, and directing patrons to their auditoriums. Inspecting backpacks and packages when applicable. Managing crowd control and assisting guests in finding seats in auditoriums when necessary Enforcement of MPAA rating system Conducting in theatre inspections to monitor picture and sound quality, watch for film and content theft, and help maintain a safe quality environment within the auditoriums Reporting to the management any problems, discrepancies or unusual situations that arise at the theatre. Perform in-auditorium concession auxiliary sales as directed by management Cleaning auditoriums at the end of scheduled shows and maintaining clean restrooms, lobby area, hallways and other areas outside of the auditorium Monitoring the cleanliness and operation of theatre vending equipment Assisting with all opening and closing duties as assigned by management Pay Scale Information: $15.50/hour Benefits: Our team receives the perk of enjoying free movie passes and discounted concessions at any Regal location. Additionally, all team members are eligible to participate in our 401(k) retirement plan, with a company match, once they reach the age of 21 and have completed six months of service. Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education/Experience: Completion of cast certification program as a cast member and as box office cashier or progress towards completion required. If the theatre sells alcohol and your assigned duties will include the selling/serving of alcohol, it is your responsibility to complete any legally required state or local training and obtain the required certificate. In addition, you must complete the Regal Responsible Beverage Server training on Regal Online University. Language Ability: Possess good public speaking, listen effectively and respond clearly and directly. Math Ability: Perform calculations with speed and accuracy and identify and correct errors. Reasoning Ability: Identify problems, gather relevant data and note possible causes of problems. Evaluate relevant information, recognize alternatives and reach conclusions based on evidence. Take action beyond what is necessarily called for. Perform under pressure and/or opposition. Personal Skills: Possess excellent communication skills with customers, co-workers and management. Establish goals, budget time, and set priorities to achieve desired objectives. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job the employee is frequently required to stand; walk; sit; use hands to finger, handle, or feel; reach with hands and arms and talk or hear. The employee is occasionally required to climb or balance and stoop, kneel, crouch, or crawl. The employee may occasionally be required to lift up to 60 pounds. The vision requirements include: close vision, distance vision, peripheral vision, depth perception and ability to adjust focus.

Cornell University is an innovative Ivy League university where an inclusive community of scholars, students, and staff impart an uncommon sense of larger purpose and contribute creative ideas to further the university's mission of teaching, discovery, and engagement. With our main campus located in Ithaca, New York, Cornell's global presence includes the medical college's campuses on the Upper East Side of Manhattan and Doha, Qatar, as well as the Cornell Tech campus located on Roosevelt Island in the heart of New York City. We offer a rich array of services, programs, and benefits to help employees advance in their career and enhance the quality of personal life, including employee wellness, workshops, childcare and adoption assistance, parental leave, and flexible work options. Our Mission Cornell Human Ecology explores the complexity of human life. We bring together a range of perspectives to understand the full context of the human experience and improve lives at every scale, from cells to society. Our research and academic programs focus on the interaction of humans with their biological, economic, social, and physical environments. Using Cornell's far-reaching extension network and the college's translational research methods, we deliver our findings directly to communities and families, ensuring that our work reaches those who need it most. We prioritize innovative collaboration and are fueled by a powerful, interdisciplinary, and applied approach to improving lives. The Opportunity The Johnson Lab in the Division of Nutritional Sciences is seeking a full-time research technician to manage general lab activities, assist with large scale efforts in bacterial genetics and biochemistry, assist with mouse husbandry, organize human subjects research, and independently execute molecular biology-based techniques. The Johnson lab studies metabolite-dependent diet-microbiome-host interactions using techniques in genomics, metabolomics, molecular biology, and microbial genetics. The lab has a focus on understanding the importance of metabolite exchange in the establishment of the infant microbiome. Under general supervision, responsibilities will include: * Laboratory duties: assist and lead large amounts of bacterial culturing; execute biochemical assays; assist with germ-free mouse work; perform tissue collection; prepare microbiome samples for genomic and metabolomic analysis; upkeep of lab reagent stocks; and safety management tasks. * Administrative duties: procurement of lab supplies; general lab organization; and the upkeep of freezers and freezer organization. This position presents an exciting opportunity for a motivated and adaptable individual to contribute meaningfully to microbiome research while deepening their scientific expertise. As the successful candidate, your work will directly impact studies in bacterial genetics, biochemistry, and molecular biology, while also helping maintain a well-organized and efficient lab environment. In return, you will benefit from continuous learning, intellectual engagement, and hands-on experience with a wide array of cutting-edge techniques in genomics, metabolomics, and microbial research - all within a collaborative and inclusive scientific community. This is a one-year, benefits eligible, term position with the possibility of renewal. This is a fully onsite position that is based in Ithaca, NY. Typical work hours are 8:00AM-4:30PM Monday through Friday. Required Qualifications * Associate's degree and up to 2 years related laboratory experience or equivalent combination of education and experience. * Experience with bacterial culturing techniques and genetics analysis. * Experience working in a lab specializing in either molecular biology, biochemistry, or genomics research. * Knowledge of lab safety requirements. * Must feel comfortable performing tasks involving laboratory mice. * Demonstrated ability to work independently and collaboratively in a team environment. * Skilled in managing multiple projects simultaneously. * Ability to cultivate and develop inclusive and equitable working relationships with students, faculty, staff, and community members. Preferred Qualifications: * Bachelor's degree in biology, biochemistry, or any related field. * Experience with creating sequencing libraries for the Illumina sequencing platform. A cover letter and resume are required for further consideration for this position. No visa sponsorship or relocation assistance are provided for this position. Benefits * Cornell receives national recognition as an award-winning workplace for our health, wellbeing, sustainability, and inclusive workplace initiatives. * Our benefits programs include comprehensive health care options, generous retirement contributions, access to wellness programs, and employee discounts with local and national retail brands. We invite you to follow this link to get more information about our benefits: Understand Your Benefits | Working at Cornell. * Our leave provisions include health and personal leave, three weeks of vacation and 13 holidays: Martin Luther King, Jr. Day, Memorial Day, Juneteenth, Independence Day, Labor Day, Thanksgiving and the day after, and an end of the year winter break from December 25-January 1. To offer greater flexibility for observing faiths and traditions we also offer two additional floating holidays. Learn more about our generous leave provisions: Holiday and Accrued Time Off | Working at Cornell * Cornell's impressive educational benefits include tuition-free Extramural Study and Employee Degree Program, tuition aid for external education, and Cornell Children's Tuition Assistance Program. Learn more about our extensive educational benefits: Education Benefits | Working at Cornell * Follow this link to learn more about the Total Rewards of Working at Cornell: Total Rewards | Working at Cornell. Cornell is an equal opportunity employer. For more information, click the following link: *************************** University Job Title: Technician III Job Family: Technical Level: C Pay Rate Type: Hourly Pay Range: $24.31 - $26.87 Remote Option Availability: Onsite Company: Contract College Contact Name: Krassimira Hernandez Contact Email: ***************** Job Titles and Pay Ranges: Non-Union Positions Noted pay ranges reflect the potential pay opportunity for each job profile. The hiring rate of pay for the successful candidate will be determined considering the following criteria: * Prior relevant work or industry experience * Education level to the extent education is relevant to the position * Unique applicable skills * Academic Discipline To learn more about Cornell's non-union staff job titles and pay ranges, see Career Navigator. Union Positions The hiring rate of pay for the successful candidate will be determined in accordance with the rates in the respective collective bargaining agreement. To learn more about Cornell's union wages, see Union Pay Rates. Current Employees: If you currently work at Cornell University, please exit this website and log in to Workday using your Net ID and password. Select the Career icon on your Home dashboard to view jobs at Cornell. Online Submission Guidelines: Most positions at Cornell will require you to apply online and submit both a resume/CV and cover letter. You can upload documents either by "dragging and dropping" them into the dropbox or by using the "upload" icon on the application page. For more detailed instructions on how to apply to a job at Cornell, visit How We Hire on the HR website. Employment Assistance: For general questions about the position or the application process, please contact the Recruiter listed in the job posting or email ********************. If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell Office of Civil Rights at voice **************, or email at accommodations@cornell.edu. Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca campus, by emailing ********************. Notice to Applicants: Please read the required Notice to Applicants statement by clicking here. This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant. EEO Statement: Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of "... any person ... any study." No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law. 2025-11-04

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases Deploy and operate the core ML inference workloads for our AI Voices serving pipeline Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues An Ideal Candidate Should Have Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with Infrastructure such as Code, Docker, and containerized deployments. Preferred: Experience deploying high-availability applications on Kubernetes. Preferred: Experience deploying ML models to production What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Part-time Description You are applying for work with a franchisee of Taco Bell, not Taco Bell Corp. or any of its affiliates. If hired, the franchisee will be your only employer. Franchisees are independent business owners who set their own wage and benefit programs that can vary among franchisees. Our Team Members are friendly and helpful to customers and coworkers, meeting customer needs and taking steps to solve food or service issues. Have a clean and tidy appearance and work habits. Be willing and able to communicate with customers, teammates, and managers in a positive manner. Benefits Paid time off Medical Insurance 401(k) with company matching GED Program, Tuition Assistance, and Scholarship Program Meal discounts available Requirements Must be at least 18 years old. Accessibility to dependable transportation Enthusiasm and willingness to learn. Team Player Commitment to customer satisfaction Salary Description $15.50 / hour

Job Title Psychology Department Internship - Fall 2025 Department Psychology Job Description/Duties The Psychology Department at SUNY Cortland is seeking a Communication and Student Engagement intern to help enhance our online presence and connect students with opportunities. This position is perfect for a creative and tech-savvy student with a background in psychology. * Manage the department's social media account and create engaging content to highlight activities, events, and opportunities, including internships. * Design visual materials such as posters, flyers, and digital content using platforms like Canva. * Assist with creating and formatting the department newsletter and maintaining an updated web presence. Days/Hours Needed 3 per week, with a flexible schedule Campus Location/Bldg. Old Main/hybrid Required Qualifications Must be a SUNY Cortland student able to work independently, responsibly, and meet deadlines. Preferred Qualifications * Psychology major or minor preferred * Excellent written and oral communication skills * Ability to coordinate several projects at one time and work independently * Excellent computer skills * Experience with social media content creation Physical Demands Special Conditions for Eligibility Contact Name(s) & Email(s) Please contact the Department Chair, Dr. Irene Strasser, by e-mail *************************** if you have any questions. Salary Grade A-$15.50/hr. Salary Posting Detail Information Posting Number SA25021 Review Start Date 09/05/2025 Open Date 09/03/2025 Close Date 09/12/2025 Open Until Filled Yes Special Instructions to Applicants Under documents 'other,' please, provide a link or attachment to previous work you were responsible for, e.g., social media account, flyer/poster, project page, etc.

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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).

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation Work on building the most human sounding AI speech model in the world An Ideal Candidate Should Have Experience with research and development in NLP or TTS or CV with a focus on image generation. Experience in ML Preferred : Experience deploying NLP or TTS models to production at a large scale Experience managing engineers and growing a research & development team Experience programming in Python: Tensorflow and PyTorch frameworks specifically. What We Offer A fast-growing environment where you can help shape the culture An entrepreneurial crew that supports risk, intuition, and hustle A hands-off approach so you can focus and do your best work The opportunity to make an impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Research Support Specialist I- Laboratory Manager The research support specialist will assist preparing research reports and papers; review research literature; conduct library/internet searches; select and recommend research data/information in accordance with research assignment; assist with preliminary grant proposals and monitor grant budgets; assist principal investigator in planning, designing, implementing, conducting, and analyzing experiments and/or research projects according to plan; conduct or supervise research experiments and provide preliminary analysis; plan and assign work of staff working in laboratory or work unit; construct, maintain, clean and make minor repairs to specialized equipment or facilities; coordinate the collection, preparation, verification, and analysis of moderately complex data; may research, tabulate, graph and map moderately complex data; write computer programs and/or plan the interface among two or more computerized systems involved in the research experiment; Oversee purchasing and procure non-routine equipment and materials; ensure materials and equipment inventories are adequate; set up experiment equipment and materials; provide advice and instruction in the routine use of equipment and laboratory techniques; maintain microbial cultures; schedule routine use of equipment, materials, laboratory/work unit, and other implements; implement appropriate laboratory safety and waste disposal protocols for compliance. The research support specialist will provide on-the-job training, guidance, advice and counsel to other employees in the group. The position includes responsibilities for providing senior-level technical lab support by performing a broad range of complex laboratory and research related tasks for a program and/or facility; development and maintenance of non-routine records and databases; conduct of advanced technical research; preparation of complex stains, media, buffers and reagents; preparation and maintenance of complex cell cultures for experimentation; and performance of a variety of complex cell assays, and analyses; assisting in the development of new experimental protocols; assisting in the preparation of scientific articles; providing experimental assistance to graduate students and postdoctoral fellows; supervising the work of undergraduate and masters students, interns, and providing oversight and day to day supervision for temporary employees during the semester and in the summer; maintaining and organizing the laboratory area; maintaining stocks of experimental supplies; overseeing and coordinating safety training sessions and maintaining a safe working environment; and building a maintaining a positive working environment and culture. Communicate with EHS personnel and routine safety inspectors to ensure adherence to safety and training requirements. Attend EHS training courses to remain current in Chemical Safety, disposal of sharps and chemical and biohazardous wastes. Provide guidance and training for department safety evaluation that the University, College and EHS describe. Conduct periodic reviews of the department safety guidelines and keep the department updated on new information. While position responsibilities vary, every member of our community is expected to foster a culture of belonging and a psychologically healthy work environment by communicating across differences; being cooperative, collaborative, open, and welcoming; showing respect, compassion, and empathy; engaging and supporting others regardless of background or perspective; speaking up when others are being excluded or treated inappropriately; and supporting work/life integration of oneself and others. This position is full-time (40 hours/week) and will be located in Ithaca, New York. This is a one-year appointment with possible extension contingent upon funding, available work, and performance. Department Background The College of Agriculture and Life Science is a pioneer of purpose-driven science and Cornell University's second largest college. We work across disciplines to tackle the challenges of our time through world-renowned research, education, and outreach. The questions we prove and the answers we seek focus on three overlapping concerns: natural and human systems; food, energy, and environmental resources; and social, physical, and economic well-being. The Department of Biological and Environmental Engineering (BEE) is one of the largest of its kind in the country, with a very diverse faculty, staff, and student population. The department serves three integrated functions: teaching undergraduate and graduate students, researching problems in biology and the environment, and public outreach to help society implement new knowledge. The Barstow Lab in molecular and synthetic biology support projects at the intersection of synthetic biology and sustainable energy. What We Need * Bachelor's degree in biology or related fields and 2-4 years of relevant experience in techniques of molecular or synthetic biology or equivalent combination of education and experience. * Ability to work independently once procedures are demonstrated. * Ability to change work assignments when needed. * Must be flexible and receptive to new ideas and approaches. * Excellent organizational experience. * Knowledge of how to balance conflicting priorities, make informed decisions, and use sound judgment in completing urgent tasks. * Knowledge of prioritizing multiple activities and tasks while meeting established time frames. * Proven experience in communicating effectively, both written and oral. * Experience in Microsoft Office Suite (Excel, Word, and PowerPoint). * Familiarity with Unix operating system. * Familiarity with Python programming language * Familiarity with software maintenance * Visual concentration, attention to detail, and manual dexterity are required. * Ability to lift up to 50 pounds. * Awareness regarding protocols and procedures adhere to safety requirements. * Must exercise sound and ethical judgment when acting on behalf of the University. * Must be able to work independently as well as in a team environment to accomplish required tasks to achieve objectives. * Aptitude to identify opportunities for process improvements and then implement them. * Ability to create an inclusive, high-quality, and respectful work environment both in a team setting and independently to achieve departmental and university goals. * Experience in and/or demonstrated commitment to supporting diversity, equity, access, inclusion, and wellbeing. * Experience working directly with people from diverse racial, ethnic, and socioeconomic backgrounds. * Ability to cultivate and develop inclusive and equitable working relationships with students, faculty, staff, and community members. * Passionate about working in an organization that values and promotes diversity, equity, inclusion, anti-racism, and wellbeing. * Must be able to meet the travel requirements of the position, and have reliable transportation as well as have and maintain a valid and unrestricted New York State driver's license. If you have all those things, great! We have a few more things that we would prefer you to have, but it's ok if you don't. * Masters of Engineering degree. * Experience working independently on projects in molecular, micro, and synthetic biology, computer programming, electronics fabrication, microcontrollers, and machining. * Aptitude to learn new tools and techniques regarding interdisciplinary research. Rewards and Benefits Cornell receives national recognition as an award-winning workplace for our health, wellbeing, and sustainability. * Our benefits programs include comprehensive health care options, generous retirement contributions, access to wellness programs, and employee discounts with local and national retail brands. We invite you to follow this link to get more information about our benefits: Understand Your Benefits | Working at Cornell. * Our leave provisions include health and personal leave, three weeks of vacation and 13 holidays: Martin Luther King, Jr. Day, Memorial Day, Juneteenth, Independence Day, Labor Day, Thanksgiving and the day after, and an end of the year winter break from December 25-January 1. To offer greater flexibility for observing faiths and traditions we also offer two additional floating holidays. Learn more about our generous leave provisions: Holiday and Accrued Time Off | Working at Cornell * Cornell's impressive educational benefits include tuition-free Extramural Study and Employee Degree Program, tuition aid for external education, and Cornell Children's Tuition Assistance Program. Learn more about our extensive educational benefits: Education Benefits | Working at Cornell * Follow this link to learn more about the Total Rewards of Working at Cornell: Total Rewards | Working at Cornell. Visa sponsorship is not available for this position. Cornell is an equal opportunity employer. For more information, visit hr.cornell.edu/eeo. University Job Title: Research Support Spec I Job Family: Academic Support Level: E Pay Rate Type: Salary Pay Range: $65,447.00 - $75,632.00 Remote Option Availability: Onsite Company: Endowed Contact Name: J'Frances White Contact Email: ****************** Job Titles and Pay Ranges: Non-Union Positions Noted pay ranges reflect the potential pay opportunity for each job profile. The hiring rate of pay for the successful candidate will be determined considering the following criteria: * Prior relevant work or industry experience * Education level to the extent education is relevant to the position * Unique applicable skills * Academic Discipline To learn more about Cornell's non-union staff job titles and pay ranges, see Career Navigator. Union Positions The hiring rate of pay for the successful candidate will be determined in accordance with the rates in the respective collective bargaining agreement. To learn more about Cornell's union wages, see Union Pay Rates. Current Employees: If you currently work at Cornell University, please exit this website and log in to Workday using your Net ID and password. Select the Career icon on your Home dashboard to view jobs at Cornell. Online Submission Guidelines: Most positions at Cornell will require you to apply online and submit both a resume/CV and cover letter. You can upload documents either by "dragging and dropping" them into the dropbox or by using the "upload" icon on the application page. For more detailed instructions on how to apply to a job at Cornell, visit How We Hire on the HR website. Employment Assistance: For general questions about the position or the application process, please contact the Recruiter listed in the job posting or email ********************. If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell Office of Civil Rights at voice **************, or email at accommodations@cornell.edu. Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca campus, by emailing ********************. Notice to Applicants: Please read the required Notice to Applicants statement by clicking here. This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant. EEO Statement: Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of "... any person ... any study." No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law. 2025-11-13

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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. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. 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. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. 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 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 Flex your interpersonal skills to translate the complexity of your work into tangible business goals Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 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 10 years of industrial NLP research experience Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR 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) Has worked on an LLM (open source or commercial) that is currently available for use Demonstrated ability to guide the technical direction of a large-scale model training team Experience with common training optimization frameworks (deep speed, nemo) Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs 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. Sales Territory: $273,000 - $311,500 for Distinguished Applied Researcher Cambridge, MA: $300,200 - $342,600 for Distinguished Applied Researcher McLean, VA: $300,200 - $342,600 for Distinguished Applied Researcher New York, NY: $327,600 - $373,800 for Distinguished Applied Researcher San Francisco, CA: $327,600 - $373,800 for Distinguished Applied Researcher 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 . click apply for full job details

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases Deploy and operate the core ML inference workloads for our AI Voices serving pipeline Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues An Ideal Candidate Should Have Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with Infrastructure such as Code, Docker, and containerized deployments. Preferred: Experience deploying high-availability applications on Kubernetes. Preferred: Experience deploying ML models to production What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.