Research Engineer Remote Jobs in Colorado (US)
This page tracks remote research engineer openings that are location-eligible for Colorado.
This page tracks remote research engineer openings that are location-eligible for Colorado.
Open jobs
197
Hiring companies this week
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$97,500 - $187,500
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197 Jobs
155 Companies
NAVTECH INC 1600 Golf Road. Suite 1200, Rolling Meadows, IL 60008 Ph: (224) 348-1340 Email: alex@navtechusa.com Website: www.navtechusa.com E-Verified Company
Role Description I have an opportunity for "SDET Lead with Playwright: 100% REMOTE," and I am looking for a candidate who can join immediately. If you are interested, reply to me with your updated resume or if you could refer someone, I would really appreciate it. Position: QA SDET Lead With Playwright Location: 100% REMOTE Duration: 6+ months Qualifications - Bachelor's degree in Computer Science, Engineering, or related field. - Proven experience as an SDET or similar role, with a strong understanding of software testing principles and methodologies. - Proficiency in Playwright for automated web testing. - Familiarity with Agile and Scrum methodologies. - Good coding skills. - Excellent problem-solving and communication skills. - Good financial knowledge for .NET and Angular apps. - Ability to work independently and collaboratively in a fast-paced environment. - Strong attention to detail and a passion for delivering high-quality software products. Requirements - Must have good coding skills. - Excellent problem-solving and communication skills. - Ability to work independently and collaboratively in a fast-paced environment. - Strong attention to detail and a passion for delivering high-quality software products. Company Description NAVTECH INC 1600 Golf Road, Suite 1200, Rolling Meadows, IL 60008 www.Navtechusa.com E-Verified Company.
Role Description This health sciences-focused position offers an excellent opportunity for an experienced Senior level Research Informationist to provide expert research services to RAND’s geographically diverse world-class research and administrative staff. The primary focus of this position is health sciences and evidence synthesis, though the role contributes to general reference services across RAND’s broader research portfolio. As a member of the Library Research Services (LRS) team, the ideal candidate will have demonstrated success in providing high-level health sciences information services in a research or academic library setting, thrives in a collaborative and collegial environment, and demonstrates initiative and an innovative mindset. The position reports to the Director, Knowledge Services and may work fully remote. Duties and Responsibilities - Provide advanced, complex consulting and research services to RAND research and administrative staff; partner with research staff on short- and long-term projects, providing an array of research and consulting services. - Perform systematic reviews and literature searches, and compile bibliographies and other outputs using electronic resources and commercial databases; prepare associated literature reviews, systematic search documentation, and annotated bibliographies. - Lead evidence synthesis intake and protocol review processes; provide training and consultations on systematic and scoping review methods for project teams. - Assist researchers with proposal development. - Develop and deploy customized information and current awareness plans. - Evaluate and apply emerging technologies, including AI-assisted tools, to enhance research workflows and information services. - Identify and recommend best literature review and evidence synthesis methods and tools for use by project teams. - Cultivate client relationships and facilitate collaboration in a hybrid environment to ensure resources and services meet demonstrated need. - Participate in teams to develop and implement effective and innovative outreach activities and service enhancements. - Participate in projects to develop relevant collections of electronic resources; evaluate new and existing resources; analyze collection metrics. - Provide support, consultations, customized training and educational sessions on evidence synthesis and literature reviews; provide training to more junior level staff. - Other duties as assigned. Skills and Abilities - Demonstrated expertise in performing comprehensive systematic reviews, including conducting search strategies in biomedical, nutrition, and public health related databases using MeSH, Emtree, keyword, Boolean and proximity searches. - Demonstrated knowledge of reporting guidelines and/or standards such as PRISMA, PRESS, Cochrane, etc. - Experience searching grey literature on health-related and other topic areas. - Experience with AI tools for evidence synthesis (e.g., Elicit, Covidence, DistillerSR) and ability to critically evaluate AI-generated search strategies against methodological standards. - Proficiency using EndNote; knowledge of other citation management tools. - Excellent client service skills. - Excellent attention to detail, ability to prioritize tasks, work independently, and meet a high standard of work. - Ability to work collaboratively in a team environment, to solve problems creatively, and build effective partnerships using excellent communication, interpersonal, and problem-solving skills. - Adheres to evidence synthesis best practices and professional standards for search strategy development, documentation of methodology, and quality assurance of project deliverables. Qualifications - Minimum of 7 years providing reference and consulting services in an academic or special library setting, preferably with a health-sciences focus. - Demonstrated expertise in information discovery and management tools in the health sciences (e.g., PubMed, Embase, Cochrane, and CINAHL), as well as proficiency searching general commercial bibliographic databases and platforms (e.g., Ebsco, ProQuest, etc.). - Experience working with faculty or professional research staff in either an academic or corporate environment. - Excellent written and verbal communication skills, with the demonstrated ability to present information to groups. Preferred - Experience with Alma/Primo library systems platform. - Study or degree in an area of health sciences. - Secondary experience or background in one or more of the following subject areas: national security, science/technology, economics, political science, international relations, education and labor, or other areas of RAND research. - AHIP membership and/or MLA SRSS Certifications. Education - MS/MA in library/information science. Location - This position is a fully remote opportunity. Term - This position will be a 1-year term duration. Salary Range - $102,800 - $156,500 (Full Time Annualized). Benefits - RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidate’s work experience, education/training, skills, expertise; and internal equity. - The salary range includes base pay plus RAND’s sabbatic pay (which provides additional compensation above base pay when vacation is taken). - In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more. Equal Opportunity Employer
Role Description Meta is seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale. The mission of Meta FAIR's SysML research is to advance the state of AI through open science innovations. We explore, design, and build ML systems and infrastructures at scale with usability, efficiency, and sustainability as design principles. Some aspects of this role include: - Enabling distributed training at an unprecedented scale through advancements and development in training library and authoring components, such as cuBLAS, cuDNN, FlashAttention. - Training performance acceleration through hardware-software co-design. - Carry out cutting-edge research to advance the science and technology of machine learning systems. - Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities). - Devise better data-driven models of AI system design and optimization. - Contribute research that leads to innovations in: - Scalable machine learning systems. - Resource-efficient AI data and algorithm scaling. - Neural network architectures. - Memory and energy-efficient AI systems. - Environmentally-sustainable AI system and hardware designs. - Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results. - Publish research results and contribute to research that impacts Meta product development. Qualifications - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. - Master's degree in the field of Computer Science, Computer Engineering, or equivalent practical experience. - 4+ years of domain-specific industry experience in areas related to development in systems, computer architectures, compiler and programming languages, machine learning, and artificial intelligence. - Experience with Python, C++, C, Rust or other related languages and with PyTorch framework. - Experience developing and optimizing systems for at-scale machine learning execution. - Experience devising data-driven models and real-system experiments and design implementation for AI system optimization. - Experience with scalable machine learning systems, resource-efficient AI data and algorithm scaling, or neural network architectures. - Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward. - Experience working and communicating cross functionally in a team environment. Preferred Qualifications - PhD in the field of Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. - Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies. - Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews). - Demonstrated research and software engineering experience via work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub). - Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as MLSys, ISCA, ASPLOS, HPCA, PLDI, CGO, NeurIPS, ICML, ICLR, or similar. - Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements). Benefits - $154,003/year to $217,000/year + bonus + equity + benefits.
Luma’s mission is to build unified general intelligence that can generate, understand, and operate in the physical world. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. We are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.
Role Description The Training Infrastructure team at Luma is responsible for building and maintaining the distributed systems that enable training of our large-scale multimodal models across thousands of GPUs. This team ensures our researchers can focus on innovation while having access to reliable, efficient, and scalable training infrastructure that pushes the boundaries of what's possible in AI model development. We are looking for engineers with significant experience solving hard problems in PyTorch, CUDA and distributed systems. You will work alongside the rest of the research team to build & train cutting edge foundation models on thousands of GPUs that are built to scale from the ground up. Responsibilities - Design, implement, and optimize efficient distributed training systems for models with thousands of GPUs - Research and implement advanced parallelization techniques (FSDP, Tensor Parallel, Pipeline Parallel, Expert Parallel) - Build monitoring, visualization, and debugging tools for large-scale training runs - Optimize training stability, convergence, and resource utilization across massive clusters Qualifications - Extensive experience with distributed PyTorch training and parallelisms in foundation model training - Deep understanding of GPU clusters, networking, and storage systems - Familiarity with communication libraries (NCCL, MPI) and distributed system optimization - (Preferred) Strong Linux systems administration and scripting capabilities - (Preferred) Experience managing training runs across >100 GPUs - (Preferred) Experience with containerization, orchestration, and cloud infrastructure Company Description Luma’s mission is to build unified general intelligence that can generate, understand, and operate in the physical world. - We believe that multimodality is critical for intelligence. - To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. - We are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.
SecurityScorecard is the global leader in cybersecurity ratings.
• Own the path from research output to production-ready artifact • Partner with adjacent teams to define clean handoff contracts • Build and maintain STRIKE platform components across multiple services and runtimes • Turn research into shipped detection content • Drive STIX 2.1 adoption as a unified output schema • Build automation for research workflows • Coordinate with engineering, measurement, and platform product teams
Inspira Education Group is one of the fastest-growing edtech startups in the US. We started with a simple mission to democratize access to high-quality coaching so that every student in the world has an equal opportunity to access the best opportunities. As the world’s leading network of top admissions coaches in medical, legal, business, and college studies, we’re building software and services in one place—disrupting long-entrenched application processes with products and experiences that strive to provide an equal platform for candidates from diverse backgrounds worldwide. As one of the fastest-growing edtech firms in the world, we are backed by some of the leading venture capital firms and investors in the world, including Zeev Ventures, Quiet Capital, Craft Ventures, Jeff Fluhr (Founder of Stubhub), and David Sacks (Former COO of PayPal and Founder of Yammer).
Role Description We are looking for a Veterinary Research Mentor to support high-achieving pre-vet students through the development and completion of original literature-based research projects in veterinary medicine, animal science, and related disciplines. If you hold a DVM, PhD, or both and are passionate about mentorship, this role is an excellent fit. This is a part-time, remote, 1099 contract role that can be based anywhere in the United States or Canada. - Mentor undergraduate students through the full research process, from topic selection and literature review to manuscript development and final deliverables - Guide students in developing feasible, high-quality research questions aligned with their academic and career goals - Provide structured feedback on research plans, literature synthesis, and written research drafts - Help students understand research standards and discipline-specific expectations - Support students pursuing outcomes such as academic papers, posters, or journal submissions, depending on program scope - Track progress against defined milestones and timelines to ensure consistent forward momentum Qualifications - DVM, PhD, or both in Veterinary Medicine, Animal Science, Biomedical Sciences, or a related field - Demonstrated experience conducting academic or veterinary research - Strong background in literature review, research methodology, and scientific writing - Experience mentoring students or trainees - Excellent written and verbal communication skills - Strong planning, organization, and project management skills - A passion for mentorship and student development Company Description Inspira Education Group is one of the fastest-growing edtech startups in the US. We started with a simple mission to democratize access to high-quality coaching so that every student in the world has an equal opportunity to access the best opportunities. As the world’s leading network of top admissions coaches in medical, legal, business, and college studies, we’re building software and services in one place—disrupting long-entrenched application processes with products and experiences that strive to provide an equal platform for candidates from diverse backgrounds worldwide. As one of the fastest-growing edtech firms in the world, we are backed by some of the leading venture capital firms and investors in the world, including Zeev Ventures, Quiet Capital, Craft Ventures and Jeff Fluhr (Founder of Stubhub).
For 55 years, Colorado Technical University (CTU) has helped students fit a real-world education into their busy daily lives. With nearly 80 degree programs and concentrations in which students can pursue a variety of degrees at the associate, bachelor's, master's, and doctoral level, CTU provides flexible online classes, accessible through the University's Virtual Campus or the innovative CTU Mobile app. CTU also maintains two ground campus locations in Colorado Springs and Aurora, Colo. With the help of faculty and industry professionals, CTU has awarded over 109,000 degrees to traditional campus and online students since 1965.
Role Description A Full Time Faculty is primarily responsible for: - Providing quality instruction to students through well prepared classes, relevant assignments, fair and holistic assessment of learning, clear documentation of student progress, and support of the academic success for at-risk students. - Providing intellectual guidance and support via faculty meetings and committees to improve instructional methods, course content or professional development. Principal Duties & Responsibilities: - Teach assigned courses. - Review assigned courses prior to teaching to verify content is accurate, course links and supplemental material is valid, and report findings to Program Chair. - Prepare audio and visual material for conducting and supporting synchronous classroom chats and asynchronous lessons. - Provide each student with clear course expectations, evaluations and timelines through carefully written topical outlines and an approved, standardized syllabus. - Suitably challenge, engage, serve and communicate with students to encourage their participation and learning while maintaining mutual value and respect. - Complete grade books, final grade sheets, learning assessments and final exam assessments within allotted timeframe. - Respond to students and stakeholders on a timely basis. - Identify at-risk students and take measures to engage these learners. - Ensure course and program learning outcomes are delivered as defined by the syllabus. - Post and maintain office hours and classroom schedules. - Provide intellectual leadership to instructors in faculty meetings and committees to improve instructional methods or contribute to their professional development. - Contribute in meaningful ways to reviewing, developing and evolving curriculum as well as course content and delivery methods for specific courses. - Actively participate in institutional committees as requested. - Work with the Program Chair and other appropriate groups on retention activities. - Provide mentoring to new faculty as requested. - Attend regularly scheduled faculty in-service sessions and discipline specific professional development activities. - Maintain credentials as required by accrediting councils/agencies and regulatory entities. Qualifications - Strong organizational and technological skills. - Proficiency in Microsoft Office products such as Word, PowerPoint, Excel, and Outlook. - Expertise in interpersonal and oral presentation/written communication skills, as demonstrated by diplomas, degrees, transcripts, certifications, CVs/Resumes, and interview. - Demonstrates CEC Standards as defined for faculty members: - Communication - Assessment of Student Learning - Pedagogical Mastery - Course Subject Matter Expertise - Utilization of Technology - Teaching Diverse Learners - Student Engagement Protocol Adherence - Promotion of Active Student Learning - Operating within Educational System - Demonstration of Scholarship Requirements - Possess terminal degree from a regionally accredited institution or equivalent in relevant discipline (business, education, health science, or psychology) and applicable accreditation requirements. - At minimum, 18 graduate hours in research methodology. - Possess at least two (2) years of experience teaching in an online/distance learning environment. - Previous experience as a doctoral committee member and chair. - Candidate will also be required to complete a satisfactory background check. Education and Experience: Preferred - Significant experience as a practitioner in work related to your academic discipline. - Demonstrated research contributions within the last ten years, including peer-reviewed publications, conference presentations, program evaluation reports, or similar scholarly work.
SecurityScorecard is the global leader in cybersecurity ratings.
• Own the path from research output to production-ready artifact • Build and maintain STRIKE platform components across multiple services and runtimes • Turn research into shipped detection content • Drive STIX 2.1 adoption as a unified output schema and TAXII 2.1 as a distribution standard • Build the automation that removes commodity overhead from research work • Coordinate with engineering, measurement, and platform product teams
Parsons is a global technology-driven solutions provider specializing in defense, intelligence, cybersecurity, infrastructure, and space. Founded in 1944, the c
Role Description Parsons is seeking a Lead Software Engineer to join our team in support of specialized military cyber operations. You’ll be a critical member of a small team, responsible for research and development of capabilities. Join our team of best-in-industry cyber warriors who are dedicated to providing superior service in support of national defense objectives. What You'll Be Doing: - Perform vulnerability research / reverse engineering (VR/RE) against a variety of hardware and software targets - Allocate tasking to support larger-scale cyber tool development - Perform testing and integration of cyber tools Qualifications - Active TS/SCI security clearance - Bachelor's degree in related technical field and 15+ years of professional related experience; Master's degree in related field will be considered in lieu of 4 years of experience - 10+ years utilizing programming languages such as Python, C, C++, x86 - 5+ years of experience in vulnerability research and/or cyber tool development - Knowledge of networking fundamentals - Experience developing in Windows and Linux environments - Experience with CI / CD Pipelines and version control (Git) Requirements - 10+ years of experience in vulnerability research and/or cyber tool development - Cross-Platform Windows-Linux development - Experience with Windows Internals and/or Linux kernel level programming - Knowledge of concurrent application development concepts (multi-threaded and/or distributed) - Familiarity with antivirus evasion techniques - Assembly languages (x86, ARM, MIPS, etc) - Additional Operating Systems (Android, iOS, OSX) - Certified/trained in one or more of the following: Corelan Bootcamp/Advanced, ManTech ACTP, Windows/Linux/VR&E, OSCP, OSED, OSWE - Experience supporting USCYBERCOM, NSA, DoD cyber operations, or related mission environments Benefits - Medical, dental, vision - Paid time off - 401(k) - Life insurance - Flexible work schedules - Holidays to fit your busy lifestyle Company Description The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now.
At Disney Consumer Products, we inspire imagination around the world and are committed to creating happiness for families and fans by bringing captivating, inspiring, and inclusive products into their daily lives. From toys to t-shirts, console games, books, and more, our team brings our beloved brands and franchises into the lives of families through products and experiences that can be found worldwide, such as the Disney Store e-commerce platform, Disney Parks, local and international retailers, and Disney Store locations around the world.
Role Description The DEEP & Technology team is looking for a Software Development in Test Engineer to join our expanding quality engineering efforts across the Ads, Data, and eCommerce domains. As part of our mission to scale automation and enhance quality across diverse systems, this role will focus on building robust test automation frameworks and quality processes tailored to each team’s unique needs. - Work closely with Software Engineers to understand the complex ecosystem in place at DEEP&T. - Develop automated test frameworks and suites on UI, API and Integration levels of testing using Python or other OO languages. - Participate in design discussions for our platform to help evolve the platform in a way that enables richer testing scenarios that simplify defect detection and prevention. - Assist with triage, diagnosis, and resolution of issues discovered across teams. - Contribute to end-to-end acceptance tests. - Where necessary, develop and execute manual test cases to detect issues that cannot be detected through automated means. - Drive the conversion of manual tests to automated whenever possible. - Part of product teams in building architectures which are robust, fault-tolerant, and cloud-native. - Build solutions for problems of sizeable scope and complexity that have been successfully deployed to customers/users. - Influence and drive software engineering best practices within the team. - Technically lead and deliver multiple projects utilizing an Agile methodology while reviewing team members' code. - Participate in developing technical and/or business approaches; and new/enhanced technical tools. - Own the design of software programs or systems within the team, and within the organization. - Write codes that establish and enhance frameworks. - Review code for design, testability, and clear usability. - Build solutions that scale and perform. - Identify opportunities to improve the system/product/services with each iteration. Qualifications - Minimum 2 years of hands-on software test development experience, including both functional and non-functional test development. - Knowledge of Agentic workflows and MCP design patterns. - Proficiency in SQL, Python/Java, and ETL processes, along with familiarity with cloud platforms (AWS, Azure, GCP) and cloud-based data warehousing (e.g., Snowflake). - Skills in data validation, modeling, ETL pipelines, and software engineering principles. - Strong desire for establishing and improving product quality. - Experience building or improving test automation frameworks. - Experience in CICD integration and pipeline development in Jenkins, Spinnaker, or other similar tools. - Experience in UI automation (Selenium, Robot, Watir). - B.S. in Computer Science (or equivalent degree or work experience). Requirements - The hiring range for this position in California is $97,500 to $130,700 per year. - In Seattle, the range is $102,100 to $136,900 per year. - In New York, the range is $102,100 to $136,900 per year. - The base pay offered will take into account internal equity and may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. - A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Benefits
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Python, AI, AWS, C++, PyTorch, Linux