Research Staff Member remote jobs - 152 jobs

A leading automotive company in Mountain View is seeking an Early Career Machine Learning Engineer to develop cutting-edge AI systems for vehicle design and manufacturing. The role requires collaboration with senior engineers, and candidates must have a relevant PhD or Master's degree. Competitive salary range from $130,000 to $170,000, plus benefits including health programs and possible relocation assistance. #J-18808-Ljbffr

A leading AI-driven presentation tool company in San Francisco is seeking a Research Engineer to enhance the quality of AI outputs. You'll design evaluation frameworks, improve production prompts, and analyze model performance. Ideal candidates have 1-2 years of experience with AI systems and a strong attention to detail. This role is perfect for those who thrive in a collaborative environment and are passionate about leveraging AI to enhance creativity. #J-18808-Ljbffr

Our mission at Onton is to help people make decisions they love, instantly. We're tackling the most economically impactful decisions first: the average shopping journey takes 79 days, and we're taking that to less than 1. Since our public launch in late 2023, we've grown exponentially to guide millions of users to their perfect product. We recently built the foundation of a neurosymbolic AI agent that learns more about the world on every search. You have the chance to solve equally difficult problems as you scale Onton 10x over the next few months to serve 1B+ searches/year, which is just the beginning. This is only the beginning. Providing a person with sufficient context to make any decision in a truly optimal way amounts to creating AGI. The economic engine we're creating on the e-commerce side, while a huge opportunity in its own right, is ultimately to support this end. Paradigm shifts like the one we're in - from narrow AI to human-level AGI and beyond- are vanishingly rare. We want to offer you the chance to do your life's work solving the problem that will solve all other problems. Your opportunity Together we will create an AI agent capable of providing a person, or itself, with sufficient context to make optimal decisions as quickly as possible. This agent will ultimately be capable of superseding most things we do at Onton. Our current application of e-commerce, making an optimal purchase decision - considering user preferences, millions of products, and billions of reviews - already requires a world model and a logical consistency far beyond the state of the art. Even OpenAI's o3 can't rid itself of the problem of hallucination, and there are no sufficiently robust bolt-on solutions for context finiteness (RAG is not enough), catastrophic forgetting, or many other fundamental problems afflicting current-gen AI systems. Contra OpenAI, we believe that scale is not all you need. These challenges can only be addressed at the architectural level. Recently we've built the foundation of a neurosymbolic AI agent that learns more about the world on every search. It's still in its infancy, but its compositionally-grounded architecture shows promise as the basis of a truly general problem solver. With your ingenuity - realized through your self-directed, data-driven experiments from first principles - we can turn its sparks of intelligence into a fire. We expect you to Have significant software, ML, or research engineering experience Command a deep, principled understanding of the current state of the field of AI, especially neurosymbolic approaches. Have some experience contributing to empirical AI research projects Enjoy implementation, not just writing papers. Be excited about non-purely-statistical approaches to AI. Prefer fast-moving collaborative projects to extensive solo efforts. Quickly and iteratively ship code that is correct, robust, scalable, and maintainable. We're not optimizing for novelty, academic recognition, or theoretical purity. Recognition will come easily from the excellence of the product we build. We'd love it if you: Have a PhD or Master's in Artificial Intelligence, Computer Science, Cognitive Science, Linguistics, or comparable (or equivalent research experience). Onsite Interviews Our final round of interviews is conducted onsite at our SF office, and this role requires full-time, in-person collaboration. We believe that the best work happens when our team is together, fostering creativity, spontaneous collaboration, and strong relationships. If you're unable to attend the interviews onsite or work onsite full-time, this position may not be the right fit. We want to ensure all candidates have a clear understanding of our work environment before applying, so everyone's time is respected throughout the process. Location Our team works in hybrid, 3 days a week, in our new office in San Francisco (Jackson Square). We're offering relocation compensation as we build density in this area. We have a tenure system where, after a year, any team member can transition to a fully remote, provided they operate primarily on Pacific Time. Diversity, Equity, Inclusion, and Belonging Statement We hire talented and passionate people from diverse backgrounds to ensure our global workforce reflects our customers. Even if your experience doesn't perfectly match every requirement in the job description, we encourage you to apply. If you're a builder at heart who shares our values and is passionate about making software tools accessible to all, we want to hear from you. Onton is proud to be an equal opportunity employer. We do not discriminate in hiring or employment decisions based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other legally protected characteristics. We consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during our application process. If you need assistance or an accommodation due to a disability, please contact your recruiter. #J-18808-Ljbffr

A cutting-edge AI startup is seeking R&D Engineers for groundbreaking work in attention-based machine learning models. Candidates should have a strong research background and experience in model training using PyTorch or TensorFlow. This is a full-time remote position, offering competitive salary and stock options, with the potential to impact foundational AI developments. Join us to push the boundaries of AI technology and research. #J-18808-Ljbffr

Who is Recruiting from Scratch: Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire. https://www.recruitingfromscratch.com/ Title of Role: Senior Backend Engineer - Applied Research Platform Location: Remote (East Coast US / EMEA preferred) Company Stage of Funding: Late-Stage Venture (Series B, with Series C expected) Office Type: Remote with periodic travel for team offsites Salary: $168,000 - $270,000 base, plus highly competitive equity Company Description Our client is a frontier AI research lab building the most capable models and systems to transform how software is created. Backed by over $500M in funding, the team is composed of world-class engineers and researchers from top technology companies. The company's mission is to redefine developer productivity by training foundational models specifically optimized for software engineering. This is not just another SaaS role - you'll be building the distributed systems and infrastructure that powers large-scale AI training and fine-tuning. The team is highly technical, engineering-driven (75% of the company), and focused on solving some of the hardest scaling problems in the industry. What You Will Do Design and build a scalable platform that enables fine-tuning of large language models through code execution and static analysis. Work on systems that involve container runtimes, parsers, static code analyzers, and large-scale distributed data systems. Collaborate with applied research teams to ensure infrastructure supports billions of real-world code tasks across thousands of projects. Develop robust testing strategies including unit, integration, and performance testing for mission-critical systems. Contribute to the full lifecycle of infrastructure development: from architecture, deployment, monitoring, and optimization. Help shape the company's engineering culture by working closely with some of the best minds in distributed systems and AI. Ideal Candidate Background 8+ years of backend engineering experience with a focus on building scalable, distributed systems (e.g., data pipelines, event-driven architecture, message queues, or large-scale cloud services). Strong programming experience in Go, C, C++, or Python. Experience working with Linux system programming and container runtimes (e.g., Docker, Kubernetes). Hands-on experience with build tools, CI/CD pipelines, and performance optimization. Solid understanding of cloud infrastructure (AWS, GCP, or Azure). Proven ability to build systems that are reliable, performant, and developer-friendly. Preferred Experience with monitoring and observability tools (Grafana, Prometheus, Datadog). Familiarity with Infrastructure as Code (Terraform, etc.). Strong interest in the intersection of AI, ML infrastructure, and developer tools. Bachelor's or Master's degree in Computer Science, Engineering, or related field (not required, but a plus). Willingness to travel periodically for team offsites (monthly or bi-monthly). Compensation and Benefits Base salary range: $168,000 - $270,000 Highly competitive equity package Full health, dental, and vision benefits Remote-first culture with flexibility to work from anywhere (East Coast US / EMEA time zones preferred) Opportunities for travel to team offsites in Europe Work alongside an elite, engineering-driven team with access to massive compute resources and long-term funding runway Why this role is exciting: You'll be building infrastructure at the frontier of AI research - systems that other companies will aim to replicate. If you thrive on distributed systems challenges, want to work with cutting-edge compute at scale, and enjoy collaborating with top engineers in the world, this is a career-defining opportunity.

edX, part of 2U Inc., works with respected universities and organizations to deliver innovative, skills-based training to a community of over 45 million learners around the world to support them at every stage of their lives and careers. edX delivers boot camps through an immersive learning experience with expert services and valuable resources. As of 2021, graduates have been hired by 6,700+ companies, including more than 62% of the Fortune 100. Who we are Trilogy Education partners with universities to offer programs in Web Development, Data Analytics, UX/UI Design, Digital Marketing, Financial Technology, Cybersecurity, Product Management, and Technology Project Management. Our platform combines a market-driven curriculum, robust career services, and a multinational community of universities, instructors, and employers to prepare adult learners for careers in the digital economy. Job description Trilogy Education is seeking technical professionals who have a passion for making a difference. Our students have a diverse background, from working professionals to fresh-out-of-college people, who seek to transition into careers in Software Engineering, Data Analytics, etc. Instructional Staff will have a direct hand in changing the lives of our students. You don't have to have a ton of experience with teaching! You just have to be a lifelong learner, or love to help people change their lives to succeed. Our Blended Online program is a mixture of asynchronous and live instruction. Students in the Blended Online program access modules through Canvas, and unlock these modules as they progress through the class. Roughly 80% of the content each week is completed by the students asynchronously. This program is ideal for individuals who cannot commit to the traditional 14-hour a week time commitment of our in-person/Live Online modalities. Our Instructional Staff support students enrolled in University Bootcamps across the globe(Columbia University, UC Berkeley, & Georgia Tech to name a few of our partners) in the following areas: Full-Stack Web Development Front-end programming languages and frameworks such as HTML, CSS, JavaScript, jQuery, Responsive Design, Bootstrap, Handlebars (or any templating framework), ReactJS Working with databases, server-side languages and libraries like MongoDB, MySQL, Node, Express and ORMs Version control (Git, Github) and deployment servers such as Heroku Data Visualization/Analytics Advanced Statistics with Data Analytics with Microsoft Excel and Python, Numpy, Pandas, and Matplotlib Databases like SQL and MongoDB Data Visualization using Javascript, D3, or Tableau Hadoop and Machine Learning Financial Technologies Financial Fundamentals in Time-Series Analysis, Financial Ratios, and Financial Analysis Python 3, Pandas, MAtplotlib, API Interactions, and JupyterLab Financial libraries and Tools like NumPy, SciPy, and Quantopian Execution Algorithms, Monte Carlo Simulations, Risk-Data Aggregation, Forecasting, Financial Modeling, Modern Portfolio Theory, and Logistic Regression Machine Learning using Algorithmic Trading, Random Forests, k-Nearest Neighbor (kNN), Support ZVector Machines (SVM), Linear Regression, and Scikit-learn Blockchain and Cryptocurrency experience in Solidity, Ethereum, Consensus Algorithms, Transactions, Validation, Distributed Ledger, Bitcoin and Bitcoin Cash, and Mining Check out the programs in more detail here. Instructors Skills & Requirements Minimum of 4 years of relevant work experience A positive attitude Ability to deliver our lesson plans that are provided by Trilogy Share your own professional experiences and industry insight with the students Be able to infuse empathy, support, encouragement, and fun into the student experience What You Will Do: Lead lectures and educational product management activities Answer students' questions during class sessions Utilize Zoom's “breakout-rooms” feature during activities and in-class projects to assist the students, as needed Upload class content to the student facing github/gitlab repository Ensure that homework is graded on-time, and occasionally assist with grading Teaching Assistants Skills & Requirements Minimum of 6 months of relevant work experience in field A positive attitude A willingness to share your own professional experiences and industry insight with the students Be able to infuse empathy, support, encouragement, and fun into the student experience What You Will Do: Support the Instructor during lectures and educational program specific activities Answer students' questions during class sessions Utilize Zoom's “breakout-rooms” feature during activities and in-class projects to assist the students, as needed Assist the Instructor with distributing class materials Ensure that homework is graded on-time, and occasionally assist with grading Lead weekly office hours on one weekend day for 2 hours Logistics: 24-week programs Mon/Wed OR Tue/Thu Schedule First session of the week: 7:00pm - 9:00pm (local time to the university partner) Second session of the week: 6:30pm - 9:30pm (local time to the university partner, includes office hours and lunch break) Third session of the week: Teaching Assistant lead office hours for 2 hours on one weekend day (Teaching Assistants ONLY) 100% Remote Approximately 5 hours of total time commitment per week for Instructors. Approximately 7 hours of total time commitment per week for Teaching Assistants. Other Perks: Hone your own skills by teaching and mentoring others Gain access to thousands of tech professionals around the globe that make up our instructional staff network Experience the gratitude and fulfillment that comes along with teaching and giving back to the tech community *2U Diversity and Inclusion Statement* At 2U, we are committed to building and sustaining a culture of belonging, respect, and inclusion. We are proud of the steps we've taken to bring together an employee base that embodies diverse walks of life, ideas, genders, ages, races, cultures, sexual orientations, abilities and other unique qualities. We strive to offer a workplace where every employee feels empowered by what makes us different, as well as by how we are alike. 2U is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodations, please reach out to us at: ********************. *You must apply in your FULL LEGAL NAME* Your full legal name must be the EXACT name and spelling as listed on your government issued ID Card, birth certificate, name change order, adoption decree, naturalization or immigration documentation. Initials are not acceptable unless initials are part of your full legal name.

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. As a Senior Member of Research Staff, you will work at the forefront of modern statistical machine learning leading key projects focused on enduring challenges of financial market prediction and portfolio optimization. Your research colleagues have collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory, and we meet regularly to stay current on the latest academic research and share ideas. Founded by two leading scientists Voleon supports a culture of curiosity and creativity. We do not silo our teams, and you will enjoy a healthy work-life balance while tackling hard problems. The behavior of financial markets is noisy and violates a number of classical statistical assumptions, and we've spent over a decade pioneering scientific advances in the application of machine learning techniques to this domain. Your team will work with a complex and diverse array of datasets to implement and rapidly iterate on predictive models. Despite the complexity of these problems, market returns provide immediate and unambiguous outcome data for measuring success. Your team won't just conduct research, they'll apply it on a daily basis across the entire life cycle of applied research problems. Your work will span from overseeing projects focused on basic research to productizing solutions and validating their efficacy in live trading. This role is a means to make a difference: you will help direct billions of dollars in trades daily while making an enduring impact on our field. *** Relocation, remote flexibility, and work visa eligibility for qualified candidates***Responsibilities Demonstrate strategic vision and perspective to oversee work that affects one or more complex systems and mission-critical areas Complete large scope, highly complex projects resulting in noteworthy improvements to product performance and risk management Develop a rich understanding of Voleon's domain and methodologies Prepare and analyze new datasets to assess their predictive efficacy Develop, validate, and implement new models into production Design and conduct experiments to improve simulations and evaluate the success of new models in a live environment Build collaborative relationships cross-functionally and with key contacts outside own area of expertise, with the potential to serve as an external spokesperson for the organization Communicate and collaborate effectively with key stakeholders at each stage, facilitating meaningful discussions around complex issues and driving progress towards tangible outcomes Mentor other researchers and provide technical guidance, coaching, and feedback Keep up to date on the latest academic research to identify novel approaches to explore for application to our domain Contribute to Voleon's efforts to recruit exceptional talent Requirements 5-10+ years of related experience directing key research projects and mentoring colleagues Capability to run multiple projects simultaneously, exercising judgment in the methods, techniques, and evaluation criteria for determining results Ability to make well-reasoned design decisions, identifying and proactively potential issues, tradeoffs, risks, and the appropriate level of abstraction Proven success solving large-scale computing problems Expertise in modern statistical methods and machine learning with a track record as an applied researcher Evidence of strong mathematical abilities Strong skills in software development techniques and production level coding (Python and/or R preferred) Effective at communicating complex technical issues simply and transparently, including writing insightful documentation Ability to influence without requiring formal authority, with a proven track record of influence beyond your team Interest in financial applications is essential, but prior finance industry experience is not a prerequisite Ph.D. level coursework is required, and a Ph.D. degree in a relevant field is preferred CompensationThe base salary range for this position is $275,000 to $300,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, nine sick days, and a 401(k) plan with a company match. “Friends of Voleon” Candidate Referral ProgramIf you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions please review the Voleon Referral Bonus Program. Equal Opportunity EmployerThe Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. #LI-MD1

Who we are At Twilio, we're shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you're part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we're acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) technologies to maintain an efficient, fair and transparent hiring process. Our hiring process is never completely automated, and uses AI in conjunction with our recruiting professionals. . See yourself at Twilio Join us as a Staff Design Researcher on our Emerging Technology and Innovation (ETI) team. About the job We are seeking a visionary and entrepreneurial Design Researcher passionate about building the future, not just improving the present. In this role, you will lead Horizon 3 innovation-imagining, shaping, and validating breakthrough product concepts that could fundamentally transform the enterprise landscape over the next 3-5+ years. As part of our team, your mandate is to look beyond current product lines and incremental enhancements. Your goal is to help imagine the future that will exist based on technological advances across AI/ ML, AGI, quantum computing, blockchain and more. Working side-by-side with world-class researchers, engineers, and product managers, you will take bold, unproven ideas from whiteboard to working prototype-navigating ambiguity, systematically de-risking concepts, and driving structured experimentation. You will help us reimagine future experiences for our customers. Your success will be measured by your ability to identify and validate opportunities that can shape the next era of growth for Twilio-and the broader technology ecosystem. Responsibilities In this role, you'll: Define & Lead Research: Lead end-to-end qualitative and quantitative design research across early-stage, exploratory projects; rigorously uncover customer needs, pain points, and emerging trends Strategy & Opportunity Framing: Provide thought leadership and frameworks that connect research findings to business and product strategy; help teams prioritize opportunities and guide decision-making Synthesize Insights and communicate effectively: Distill complex data into clear, actionable narratives and frameworks for senior executives, product managers, and engineers Drive Experimentation: Collaborate with Product and Design to rapidly test new hypotheses via concepts, prototypes, and MVPs Customer Advocacy: Represent the voice of the customer in every conversation. Inspire teams to build solutions that surprise and delight customers Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 5+ years of experience in design research, user research, or a related field-preferably with time spent in innovation or new product development environments. Proven track record of leading ambiguous, zero-to-one research programs in fast-paced, high-growth tech companies. Mastery of a wide array of research methods, from ethnography and contextual inquiry to co-creation workshops and rapid concept validation. Experience with qualitative and quantitative data, and ability to easily switch between big-picture thinking and tactical execution. Exceptional communication, storytelling, and influence skills-executive presence a must. Passion for working on highly cross-functional teams and an entrepreneurial, “builder” mentality. Bachelor's or advanced degree in HCI, Design, Psychology, Anthropology, or a related discipline. Desired: Experience working with AI ML technology and customer engagement platforms Experience working in trust, security, or fraud prevention Experience guiding innovation in a multi-sided platform environment Portfolio or case studies illustrating your impact on breakthrough product or business opportunities Location This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above.. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $141,520.00-$176,900.00. .Based in Washington D.C., Illinois, Maryland, Massachusetts or California (outside of the San Francisco Bay Area): $149,840000-$187300.00. Based in the San Francisco Bay area, California: $166,400.00-$208,000.00 This role may be eligible to participate in Twilio's equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 1/30/26 but may change based on business needs. . Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values - something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal 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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

**University of Colorado Anschutz** **Department: Skaggs School of Pharmacy and Pharmaceutical Sciences** **Job Title: Research Scientist/Lab Manager (0.5 FTE)** #00844346 - Requisition #38781** Key Responsibilities **Laboratory Administration - 25%** + Oversee laboratory operations, including purchasing, vendor coordination, and tracking expenditures to ensure cost-effective use of resources + Manage procurement workflows for consumables, reagents, laboratory stock, and large capital equipment, including installation, maintenance, and service contracts + Maintain accurate inventory of supplies and equipment to support uninterrupted research activities + Coordinate facilities-related needs by initiating and tracking work orders for building maintenance, general housekeeping, and floor care + Prepare and maintain documentation related to grant expenditures, reports, and justifications in coordination with central finance and sponsored programs offices **Research and Laboratory Management - 75%** + Design, plan, and execute laboratory experiments as a research scientist, ensuring rigorous methodology and reproducible results + Analyze, interpret, and document experimental data; contribute to manuscripts, presentations, and grant applications + Develop, implement, and enforce laboratory SOPs, including safety, compliance, and quality control procedures + Provide post-award financial management for laboratory grants and contracts, including budget tracking, reconciliation, and compliant spending against funding guidelines + Support strategic planning for the lab's research direction, infrastructure needs, and budget priorities **Work Location:** Remote **Why Join Us:** **Why work for the University?** + Medical: Multiple plan options + Dental: Multiple plan options + Additional Insurance: Disability, Life, Vision + Retirement 401(a) Plan: Employer contributes 10% of your gross pay + Paid Time Off: Accruals over the year + Vacation Days: 22/year (maximum accrual 352 hours) + Sick Days: 15/year (unlimited maximum accrual) + Holiday Days: 10/year + Tuition Benefit: Employees have access to this benefit on all CU campuses + ECO Pass: Reduced rate RTD Bus and light rail service **Qualifications:** **Minimum Qualifications:** + Doctoral degree. + One (1) year of related experience with supervisory or management experience in a research setting. **Preferred Qualifications:** + Ph.D. in Biology, Biochemistry, or a related field. **Knowledge, Skills and Abilities:** + An exceptionally motivated individual capable of working autonomously while contributing effectively to team efforts. + Strong knowledge of laboratory operations, including inventory management, procurement, and equipment maintenance. + In-depth understanding of basic and translational biomedical research methods (e.g., molecular biology, cell culture, biochemistry, or related techniques, as applicable to the lab's focus). + Working knowledge of clinical and translational research processes, including study design, protocol development, and data collection workflows. + Understanding of grant and contract management principles, including budgeting, allowable costs, and sponsor compliance. + Knowledge of laboratory safety, biosafety, and environmental health and safety (EHS) regulations and best practices. + Proficiency with common laboratory techniques and instrumentation relevant to the lab's research area. + Solid data management and analysis skills; ability to work with spreadsheets, databases, and basic statistical or data visualization tools. + Excellent written and verbal communication skills, including the ability to prepare SOPs, reports, protocols, and contribute to manuscripts and grant applications. + Proven track record in presenting research findings at conferences and publishing in peer-reviewed journals. + Excellent organizational, interpersonal and leadership skills with the ability to establish and maintain effective working relationships with employees at all levels throughout the institution. + Financial and analytical skills for tracking budgets, reconciling expenditures, and monitoring grant and operational accounts. + An analytical mindset with the ability to interpret and master complex research protocol information, solve problems, multi-task, and work independently. + Proficiency with standard office and research software (e.g., Microsoft Office or Google Suite; grant management portals). **How to Apply:** **Screening of Applications Begins:** **Anticipated Pay Range:** **HIRING RANGE:** **Equal Employment Opportunity Statement:** **ADA Statement:** **Background Check Statement:** **Vaccination Statement:** **Job Category** **Primary Location** **Schedule** **Posting Date** **Unposting Date** **To apply, visit ******************************************************************** (****************************** Copyright 2025 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency (***************************** Research Scientist/Lab Manager (0.5 FTE) - 38781 Research Faculty The Research Scientist/Lab Manager will investigate and develop approaches to combat infections caused by multidrug - resistant Gram-negative bacteria within Dr. Brian Tsuji's laboratory at the University of Colorado Anschutz Campus in Aurora, CO. This research team has NIH support and is entirely dedicated to Clinical and Translational Drug Development to Combat Antimicrobial Resistance. The team has been working for nearly two decades and has made immense contributions in defining and refining exposure-response relationships antibiotics.The Research Scientist/Lab Manager will provide strategic scientific leadership and oversee the operational management of a high-performing research program. This role is ideal for an experienced scientist who excels at coordinating complex research activities, optimizing laboratory operations, and driving projects from concept to completion. This position will serve as a key liaison between scientific staff, institutional leadership, and external partners to ensure research goals are met with the highest standards of quality, efficiency, and compliance.: - this role is eligible to work remotely, but the employee must be in the United States. The CU Skaggs School of Pharmacy and Pharmaceutical Sciences (******************************************************* URL=********************************* is preparing the world's future pharmacists and pharmaceutical scientists through innovative learning and teaching. During its more than110-year history, the School of Pharmacy has been a global leader in medical discoveries, patient care, pharmacy advocacy, and online education. CU Pharmacy is ranked in the top 15% of all pharmacy schools in the nation, producing graduates that exceed national student outcomes and enjoy stellar career opportunities. The School's faculty are advancing science and health care, through programs that reach urban and rural Coloradans, as well as communities around the world.We have AMAZING benefits and offerexceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including:There are many additional perks & programs with the CU Advantage (******************************************************* URL=************************** . Applicants must meet minimum qualifications at the time of hire. For full consideration, please submit the following document(s):1. A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position2. Curriculum vitae / Resume3. Five professional references including name, address, phone number (mobile number if appropriate), and email address Applications are accepted electronically ONLY at ********************* (******************************************************* URL=http://*********************) .Questions should be directed to: ********************* (******************************************************* URL=*********************) Immediately and continues until January 27, 2026. The starting salary range (or hiring range) for this position has been established as $30,004 to $45,044The above salary range (or hiring range) represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is not eligible for overtime compensation unless it is non-exempt.Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line.Total Compensation Calculator: ***************************** (******************************************************* URL=*****************************) The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities. The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at ****************************** (******************************************************* URL=******************************) . The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees. CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases (******************************************************* URL=*********************************************************************************** . If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program (******************************************************* URL=************************************************************************************* .Application Materials Required: Cover Letter, Resume/CV, List of References : Faculty : Aurora Department: U0001 -- Anschutz Med Campus or Denver - 20534 - SOP-DOCP General Operations : Full-time : Jan 22, 2026 : Jan 28, 2026, 6:59:00 AM Posting Contact Email: ********************* (******************************************************* URL=*********************) Position Number: 00844346jeid-cf62b639d4870f47856149f2d63b86e2 The University of Colorado does not discriminate on the basis of race, color, national origin, sex, age, pregnancy, disability, creed, religion, sexual orientation, gender identity, gender expression, veteran status, political affiliation, or political philosophy. All qualified individuals are encouraged to apply.

About the Role As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation. Requirements Strong background in GPU programming and parallel computing, such as CUDA and/or Triton. Knowledge of ML/AI applications and models Knowledge of performance profiling and optimization tools for GPU programming Excellent problem-solving and analytical skills Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences Responsibilities Optimize and fine-tune GPU code to achieve better performance and scalability Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems Stay up-to-date with the latest advancements in GPU programming techniques and technologies About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at *******************************

Building Open Superintelligence Infrastructure Prime Intellect is building the open superintelligence stack - from frontier agentic models to the infra that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full rl post-training stack: environments, secure sandboxes, verifiable evals, and our async RL trainer. We enable researchers, startups and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts. As a Research Engineer working on Distributed Training, you'll play a crucial role in shaping our technological direction, focusing on our decentralizing AI training stack. If you love scaling things and maximizing training efficiency, this role is for you. Responsibilities Lead and participate in novel research to build a massive scale, highly reliable and secure decentralized training orchestration solution Optimize the performance, cost, and resource utilization of AI workloads by leveraging the most recent advances for compute & memory optimization techniques. Contribute to the development of our open-source libraries and frameworks for distributed model training. Publish research in top-tier AI conferences such as ICML & NeurIPS. Distill highly technical project outcomes in layman approachable technical blogs to our customers and developers. Stay up-to-date with the latest advancements in AI/ML infrastructure and tools, decentralized training research and proactively identify opportunities to enhance our platform's capabilities and user experience. Requirements Strong background in AI/ML engineering, with extensive experience in designing and implementing end-to-end pipelines for training and deploying large-scale AI models. Deep expertise in distributed training techniques, frameworks (e.g., PyTorch Distributed, DeepSpeed, MosaicML's LLM Foundry), and tools (e.g. Ray) for optimizing the performance and scalability of AI workloads. Experience in large-scale model training incl. distributed training techniques such as data, tensor & pipeline parallelism Solid understanding of MLOps best practices, including model versioning, experiment tracking, and continuous integration/deployment (CI/CD) pipelines. Passion for advancing the state-of-the-art in decentralized AI model training and democratizing access to AI capabilities for researchers, developers, and businesses worldwide. If you're not familiar with these, but feel like that you can contribute to our mission and you're a high-energy person, get familiar with these resources (here, here and here) and please reach out! Benefits & Perks Competitive compensation, including equity incentives, aligning your success with the growth and impact of Prime Intellect. Flexible work arrangements, with the option to work remotely or in-person at our offices in San Francisco. Visa sponsorship and relocation assistance for international candidates. Quarterly team off-sites, hackathons, conferences and learning opportunities. Opportunity to work with a talented, hard-working and mission-driven team, united by a shared passion for leveraging technology to accelerate science and AI. We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others. If you're excited about the opportunity to build the foundation for the future of decentralized AI and create a platform that empowers developers and researchers to push the boundaries of what's possible, we'd love to hear from you.

Responsibilities Peraton Labs delivers innovative solutions and revolutionary new capabilities to solve the most difficult and complex challenges for government agencies, utilities, and commercial customers. With a distinguished heritage tracing back to Bell Labs, Bellcore, DHPC, and Telcordia, we are a self-sustaining research center within Peraton that provides applied research and engineering to enable government agencies, utilities and commercial enterprises to fully exploit the future of communications, analytics and cyber security. Peraton Labs' cybersecurity research protects mission-critical systems and national cyber infrastructure through a broad range of initiatives in computer network defense, cyber operations, secure-by-design techniques, and experimentation platforms. Role and responsibility for this position:The Cyber Security Research Engineer will work on cyber security research projects, working as part of a team of highly skilled engineers collaborating to develop, and test innovative prototypes. You will perform one or more of the following tasks: * Designing, developing, and testing software modules related to emerging embedded cyber capabilities, high-availability network protocols, cyber mission planning and reasoning systems, data analytics, processing and analysis of high-volume network data. * Hardware and software reverse engineering activities against bespoke targets. * Development of CI/CD-based testing strategies for developed software modules. * Analysis and assessment of multi-dimensional network data to Qualifications Education and Experience: Minimum of 2 years with BS/BA, 0 years with MS/MA Required: * U.S. Citizenship * Ability to obtain TS/SCI clearance * Demonstrated software development expertise * Ability and desire to quickly acquire knowledge of new subject matter areas * Expertise in one or more of: C, C++, Java, Python, Go, or similar languages * Working knowledge of modern development practices and toolsets (Git, subversion, CI/CD toolchains) Desired: * Experience developing in and administering Linux * A passion to learn something new every day and to stay up to date with developments in your field * Adept at independent problem-solving and comfortable with a general approach of taking initiative to find and develop solutions * Ability and desire to quickly acquire knowledge of new subject matter areas * Working knowledge of modern computer networking technologies * Familiarity with modern agile development practices (Scrum and similar) * Familiarity with container and orchestration solutions, including Docker, Docker Swarm, Kubernetes, Terraform * Experience with Networking Protocols * Experience with configuring Network appliances * Ability to grasp the "big picture" and see beyond specific problems * Program analysis, including program understanding, vulnerability identification, and remediation Why choose us? * Variety: You will work on multiple programs. You and your manager will have discussions to ensure your assignments are on track with your growth goals and interest areas. * Flexibility: You will have the opportunity for a flexible work schedule. Subject to program requirements, you can set your hours while fulfilling 80 hours every two weeks. Additionally, while classified work requires onsite work, most staff can schedule about 20% of their time as work from home. * Value: You will support interesting and challenging projects that are not repetitive or monotonous but rather have novelty and innovation; and great people to learn from and work with - collegial, smart, inspiring. Who we're looking for: * Cyber: We are looking for staff with a strong interest (and ideally a track record) in cyber security research and development w/ strong software development skills. * Generalists: You'll typically focus your work on the domain(s) of your specialty or preference, but a strong multi-domain awareness and ability is required. You should have a curiosity to learn new technology. * Tangible: You'll work on applied research program to conceive and develop prototypes to solve cutting-edge, complex problems. Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure. Target Salary Range $86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Scientific Applications & Research Associates, Inc. (SARA) is a world-class Defense Research and Development enterprise, with a charter to create new and emerging technology innovations in support of Commercial & Government organizations. We have expertise in RF, EMP, Pulsed Power, Acoustics and Threat Warning Systems, and we prioritize partnering with our customers to address real-world problems with cost-effective solutions… that work. The SARA, Inc. High Power Electromagnetics Division (HPEM) is looking for a highly motivated and skilled Research Engineer with a focus on bioelectromagnetics to join our interdisciplinary team. The ideal candidate will have a strong background in the study of electromagnetic fields and their interaction with biological systems. This role requires a deep understanding of both the theoretical and practical aspects of bioelectromagnetics, applied physics, and related research methodologies. The candidate will contribute to the development of innovative solutions and technologies that advance our understanding and application of electromagnetic principles in various domains including medical devices, health diagnostics, and environmental health. The candidate will have the opportunity to grow and learn with talented engineers, physicists, and technicians on long-standing programs and new programs supporting our customers. Our small group will allow the candidate to experience, contribute, and collaborate in a multidisciplinary nature from conception all the way through to operation. The candidate must be a high-performing engineer with a substantial technical pedigree in Bioelectromagnetics and Applied Physics. Candidates must be strong team participants, have excellent communication skills, be resourceful and creative, and willing to contribute to a multidisciplinary and fast-paced engineering environment. Responsibilities: Design, develop, and test electromagnetic systems and devices for a variety of applications Conduct research on the interaction of electromagnetic fields with biological tissues and develop models to predict these interactions Collaborate with cross-disciplinary teams to integrate electromagnetic systems with other technologies Analyze and interpret data from experiments and simulations and prepare technical reports and presentations Stay abreast of the latest advancements in bioelectromagnetics, applied physics, and related fields Contribute to the writing of proposals and the pursuit of funding opportunities Ensure compliance with relevant regulations and standards in the design and development of bioelectromagnetic, technologies, devices, and systems Collaborate with cross-disciplinary teams to integrate electromagnetic technologies into broader systems, addressing challenges in electromagnetic compatibility and safety Mentor junior engineers and technical staff, fostering a culture of technical excellence and continuous learning Prepare technical documentation, including design specifications, test reports, and operational manuals Technical Skillsets Strong foundation in electromagnetic theory, with hands-on experience in simulation tools like COMSOL Multiphysics, CST, or ANSYS HFSS Proficient in programming languages such as Python or MATLAB for data analysis, modeling, and automation of research processes Knowledge in setting up and conducting experiments, including the use of instrumentation to measure electromagnetic fields and biological responses Ability to perform statistical analysis and visualize data, extracting meaningful insights from complex datasets Strong background in electromagnetic theory and signal processing Understanding of regulatory standards and compliance requirements related to bioelectromagnetic devices Key Competencies Leadership and team management Decision-making and problem-solving Effective communication Time management and organization Mentoring and coaching skills Minimum Requirements: Master's degree in Electrical Engineering, Biomedical Engineering, Physics, or a related field, with a focus on bioelectromagnetics 3 - 5 years of relevant experience in bioelectromagnetic research or engineering Strong foundation in electromagnetic theory and its application to biological systems Proficiency in simulation tools (e.g., COMSOL, CST) and programming languages (e.g., Python, MATLAB) Excellent analytical and problem-solving skills Effective communication skills, both written and verbal, with the ability to work collaboratively in a team environment Must be a US Citizen with the ability to obtain and maintain a Top Secret or equivalent DoD clearance May require moderate physical effort or carrying/lifting up to 50 pounds Working environment is indoor, moderately quiet, reasonably clean, well-lighted, and well-ventilated; moderate physical hazards may exist Available for moderate levels of travel and off-site work Preferred Qualifications: PhD degree in Electrical Engineering, Biomedical Engineering, Physics, or a related field, with a focus on bioelectromagnetics 10 years of relevant experience in bioelectromagnetic research or engineering Demonstrated record of scientific research and publication in peer-reviewed journals Experience with the development and regulatory approval process of medical devices or health technologies Knowledge of additional fields such as electromagnetic field theory, materials science, or bioengineering Experience mentoring and leading teams in a technical capacity Active DoD Secret or Top Secret Clearance SARA offers a competitive benefits package to include: Medical, dental, vision, disability and life insurance; and other supplemental programs A generous PTO program (vacation, sick, holiday) Tuition & certification reimbursement Flexible work schedules Employee bonuses 401(k) match/profit sharing Employee Stock Ownership Plan (ESOP) Pay Range Salary at SARA is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $95,000 to $145,000 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of SARA's total compensation package for employees. Positions are on-site, unless indicated otherwise. Application Deadline: February 11, 2026 SARA is an equal employment opportunity employer.

HUD (YC W25) is developing agentic evals for Computer Use Agents (CUAs) that browse the web. Our CUA Evals framework is the first comprehensive evaluation tool for CUAs. Our Mission: People don't actually know if AI agents are working. To make AI agents work in the real world, we need detailed evals for a huge range of tasks. We're backed by Y Combinator, and work closely with frontier AI labs to provide agent evaluation infrastructure at scale. About the role We're looking for a research engineer to help build out task configs and environments for evaluation datasets on HUD's CUA evaluation framework. Responsibilities Build out environments for HUD's CUA evaluation datasets, including evals for safety redteaming, general business tasks, long-horizon agentic tasks etc. Deliver custom CUA datasets and evaluation pipelines requested by clients Contribute to improving the HUD evaluation harness, depending on your interests, skills, and current organizational priorities. (Optional, but highly valued!) Experience Technical Skills Proficiency in Python, Docker, and Linux environments React experience for frontend development Production-level software development experience preferred Strong technical aptitude and demonstrated problem-solving ability Strong candidates may have: Startup experience in early-stage technology companies with ability to work independently in fast-paced environments Strong communication skills for remote collaboration across time zones Familiarity with current AI tools and LLM capabilities Understanding of safety and alignment considerations in AI systems Evidence of rapid learning and adaptability in technical environments (e.g. programming competitions) Have hands-on experience with or contributed to LLM evaluation frameworks (EleutherAI, Inspect, or similar) Built custom evaluation pipelines or datasets Worked with agentic or multimodal AI evaluation systems We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria. Representative projects: Creating and solving challenging competitive programming problem-sets Curating large high-quality datasets, especially for research and evaluation of multimodal AI agents Designing complex, functional fullstack applications. Bonus points if they have users / adopters. We prioritise contributions that show quality and quantity, such as building out large, high-quality datasets. Imagine making about ~10 small puzzles in mock web environments a day. Team & Company Details Team Size: ~15 people currently, mostly full-time in-person, but some remote. Our team: Our team includes 4 international Olympiad medallists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS etc Company stage: We have received $2 million in seed funding, plus very strong demand and revenue growth beyond that. We are scaling profitably and fast to meet demand. Logistics Employment: Fulltime preferred, but willing to consider part-time/internship arrangements for exceptional candidates. Location: Fully remote-friendly. We already have several fulltime, 100% remote hires. But if you're in the San Francisco Bay Area or Singapore, we do have an office you can work together in. We do prefer applicants who can show up to meetings in Pacific Time (UTC-7:00/8:00) or China/Singapore Time (UTC +8:00). Visa Sponsorship: We provide support for relocation and visas for strong full-time candidates to USA or Singapore. For part-time/contract/internship arrangements, we'll work fully remote (which makes things simpler anyway). Timeline: Applications are rolling. The process should involve 1 initial call, 1 five-hour take-home assignment and 1 paid, weeklong work trial before final offer. Due to high volume, we may not actively respond to every application, but feel free to contact us at ***************** or elsewhere if we missed your application!

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities: Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development Independently lead small research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Optimize and scale our training infrastructure to improve efficiency and reliability Develop and improve dev tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care about the societal impacts of your work Preferred Experience: Work on high-performance, large-scale ML systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ETL processes You'll thrive in this role if you: Have significant software engineering experience Are results-oriented with a bias towards flexibility and impact Willingly take on tasks outside your job description to support the team Enjoy pair programming and collaborative work Are eager to learn more about machine learning research Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights Have ambitious goals for AI safety and general progress in the next few years, and you're working to create the best outcomes over the long-term. Sample Projects: Optimizing the throughput of novel attention mechanisms Comparing compute efficiency of different Transformer variants Preparing large-scale datasets for efficient model consumption Scaling distributed training jobs to thousands of GPUs Designing fault tolerance strategies for our training infrastructure Creating interactive visualizations of model internals, such as attention patterns At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech. If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you! The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary:$350,000-$850,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you ******************* email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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.

In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. poolside exists to be this company - to build a world where AI will be the engine behind economically valuable work and scientific progress. View GDPR Policy ABOUT OUR TEAM You'll join a tight-knit group of engineers and researchers from leading labs and product companies (DeepMind, Palantir, GitHub, among others). The culture is low-ego and high-bar, organized around hard problems. It's a place to learn by building - side-by-side with people who care about craft, rigor, and impact - on challenges that matter and aren't found anywhere else. Very few companies get a seat at this table, and all the ingredients are in place to give us the right to win. Now we just need to execute. ABOUT THE ROLE As an FDRE, you'll be embedded with customers, figuring out how to build real agentic systems to solve hard problems. Hard problems aren't solved from an armchair; the right to solve them comes from experience, resilience, and a little scar tissue, earned by engaging with reality. This role gives you direct exposure to frontier AI R&D and a front-row seat to the most valuable problems and industries on the planet. You'll operate at the intersection of software engineering, applied AI and agent research, and product - designing and deploying high-reliability systems, while feeding signal back into our products and models. RESPONSIBILITIES FDREs work in small teams with the agility and autonomy of a startup, but with the experience and support of an established organization. Among other things, you will Own the mission end-to-end. Be the technical owner in the field, clarify goals, shape the plan, make the hard calls, and ship systems that move real metrics. Partner for impact. Work directly with operators and executives to scope what matters most, then turn it into production results. Build with research in the loop. Collaborate with AI R&D on prompts, tools, and model improvements; bring back field-signals that make the next model, and the platform, better. Turn wins into a flywheel. Convert patterns into playbooks, products, and libraries so that every deployment is faster, more powerful, and more reliable than the last. WHAT YOU'LL SEE IN THE FIELD These are the kinds of skills and technologies you'll likely use and develop over time. Strong experience in any is a plus, not a prerequisite. We look for spikes! Software engineering & platforms: Backend services at scale; distributed systems; data/feature pipelines; queues/caching; fault tolerance. Agentic/LLM systems: multi-agent systems; agent communication/delegation; evals; long-running, fault-tolerant agents; tools/prompt/program design; guardrails. Evaluation & experimentation: Designing evals; monitoring performance/drift; fundamentals of Data Science/ML; able to turn a hazy problem into a structured exploration. Cloud & ops: Kubernetes, Docker, IaC (Terraform/CDK), networking, secrets, observability (Grafana/Prometheus/Datadog), CI/CD. Model ops: Fine-tuning/RL; designing agent environments; managing inference. Enterprise delivery: Security/compliance, data governance, integration with legacy systems. SKILLS & EXPERIENCE Exceptional, high-agency, low-ego. You bias to action, collaborate well, and are motivated by impact and outcome. Learning-driven. You pick up new domains quickly, ask sharp questions, and turn are comfortable with ambiguity. Product-minded. You translate field pain into clean abstractions, docs, and tools others can use. Adventurer. You are eager and willing to travel and experience new things, and meet unforeseen challenges with creativity and resourcefulness. Excellent communicator. You express ideas clearly, listen actively, and build east rapport with customers and teammates alike. If you're unsure whether you check every box, you should still apply! Impact beats pedigree here. PROCESS Intro call with a member of the Forward Deployed team Technical Interview with a Member of Engineering Interview with (another) member of the Forward Deployed team People Interview with Beatriz, Head of People BENEFITS Fully remote work & flexible hours; 37 days/year of vacation & holidays; Health insurance allowance for you and dependents; Company-provided equipment; Wellbeing, always-be-learning and home office allowances; Frequent team get togethers in Paris; Great diverse & inclusive people-first culture.

We help make autonomous technologies more efficient, safer, and accessible. Helm.ai builds AI software for autonomous driving and robotics. Our Deep Teaching™ methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale. Our team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles. You will: You will work collaboratively to improve our models and iterate on novel research directions, sometimes in just days. We're looking for talented engineers who'd enjoy applying their skills to deeply complex and novel AI problems. Here, you will: Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale Carefully execute development and maintenance of tools used for deep learning experiments designed to provide new functionality for customers or address relevant corner cases in the system as a whole Work closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms You have: A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it! Comfort operating in a fast-paced environment to deliver customer projects Introspection, thoughtfulness, and detail-orientation Experience working with neural networks, Tensorflow and/or PyTorch Fluency in Python and working knowledge of C/C++ programing A strong interest in unsupervised learning, computer vision, and/or the autonomous vehicle industry Master's or Ph.D. in a related field and/or 5+ years of experience in a related field The pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission. We offer: Competitive health insurance options 401K plan management Free lunch and fully-stocked kitchen in our South Bay office Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale The opportunity to work on one of the most interesting, impactful problems of the decade Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai are considered the property of Helm.ai and are not subject to payment of agency fees.

Keebo is a venture-backed startup that offers a turnkey cloud-based Data Learning platform for automating and accelerating enterprise analytics. With the data warehousing market expected to grow to $51B annually by 2028, Keebo is an industry innovator, as the only fully-automated Snowflake optimizer, adjusting dynamically to save many customers 25% and more. Built on state-of-the-art in machine learning and artificial intelligence, and over 15 years of cutting-edge research at top universities, Keebo reduces tedious and months-long manual operations to a matter of minutes, freeing up data teams to work on improving their core business. Our team is spread across the globe, supporting customers worldwide. About the Opportunity We are hiring a Database Research Engineer to design new cost-saving and performance-enhancing algorithms for our suite of data warehouse tooling products. You'll dive deep into variables that impact data warehouse performance, perform repeatable, mathematically rigorous experiments to determine impact to cost and performance, and create fast prototypes to prove or disprove hypotheses. You'll be at the forefront of innovation in a fast-moving startup, using your research, performance engineering, and data engineering skills to build cutting-edge advancements in the field of data warehouse performance. You Will Partner with product to deeply understand customer needs with regards to data warehouse cost and performance Deeply research different parameters that impact database performance, and use findings to propose improvements to Keebo products Create rapid, tightly-scoped proofs of concept for algorithms to improve database performance and cost Mentor other engineers in database performance knowledge and rapid prototyping You Have Significant experience delivering innovative improvements to analytical databases or a PhD in Database systems plus some experience delivering improvements to analytical databases Extensive experience with database performance tuning, including caching, dynamic scaling, etc. Experience with and a passion for researching different parameters that impact database performance Experience with and a passion for running methodical experiments, with controlled variables, and documented reproducibility Familiarity with data analysis and visualization tools Track record of rapidly prototyping ideas and building MVPs for customer feedback Experience partnering with product to turn customer requirements into well-specified, technical work, and mentoring other engineers to do the same Passion for mentoring engineers in database performance knowledge, rapid prototyping, and data engineering best practices Writes clean, high quality, well-documented, readable code, with good test coverage Extensive familiarity with SQL, databases, data warehouses, and big data processing tools Familiarity with cloud technologies and tools on cloud platforms Familiarity with modern CI/CD tools Skilled at communicating effectively in a distributed environment with people across multiple time zones Strong self-motivation, initiative, and adaptability Nice to Have Prior experience at a startup Experience designing scalable, resilient, and reliable software architectures Experience with Java, Python, and Golang Our Environment Keebo is a fully remote, global team with team members currently in the US, EU, and Canada. What we Offer Working with a world-class team of researchers and engineers in machine learning to turn Al algorithms into scalable and automated cloud products For full-time positions: Competitive salary packages Equity Home office stipend Comprehensive medical, dental, and vision benefits 401k retirement program Annual company offsite (this year the team met up in Cancún, Mexico!) Paid time off Paid parental leave Keebo is proud to be an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, gender, national origin, age, disability, genetic information, or any other protected characteristic. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We strive to create a diverse and inclusive workplace where everyone feels valued and respected. We encourage individuals from all backgrounds to apply.