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  • Life Science Research Professional 2 (1-Year Fixed-Term)

    Stanford University 4.5company rating

    Research assistant job in Stanford, CA

    The Life Science Research Professional 2 at Stanford University's Ross Laboratory conducts complex experiments focused on stem cell biology and cancer research. The role involves independent project work, experimental design, data analysis, protocol development, and supervision of staff or students. The position requires expertise in molecular biology techniques, strong organizational skills, and compliance with safety and regulatory standards within a biomedical research environment. The Ross Laboratory at Stanford University is seeking a Life Science Research Professional 2 to perform more complex functions and activities involved in defined research projects, and independently conduct a portion of the research project(s). The Ross Laboratory is led by Jason Ross, MD, PhD, and is situated within the Stanford University School of Medicine's Department of Radiation Oncology. The laboratory studies normal and malignant stem cells in the context of aging and cancer. As an NCI-designated Comprehensive Cancer Center, the Stanford Cancer Institute is a dynamic and stimulating place to work as it maintains the highest level of scientific rigor, institutional support and coordination for the complete range of cancer-related research, including basic, translational, clinical and population-based science. Duties include: Independently conduct a portion of the research project(s). Make recommendations on experimental design and/or research direction to principal investigator. Independently conduct complex (lab and/or field) experiments to gather data for a portion of a major research project. Interpret and analyze results, often where few guidelines exist, and make modifications to existing procedures and protocols. Develop new research protocols where appropriate protocols are not described in the literature or where modification or adaptation of standard procedures and protocols is required. Participate in multidisciplinary teams across different faculties or schools. Perform ongoing literature review to remain current with new procedures and related research; apply to ongoing research and development of new protocols. Contribute substantively to the preparation of papers for publication, especially in the results section, and to publication of findings. Present ongoing work to colleagues and/or academic conferences. Oversee supply and equipment budget under supervision of principal investigator or business manager. Work with health and safety department to ensure lab complies with regulations and all required trainings. Supervise (either formally or informally) staff or students as needed, including oversight and direction on techniques, as well as consultation on project work. Serve as a technical resource for other research staff. Oversee the daily activities of the laboratory including lab maintenance; maintain lab stock, manage chemical inventory and safety records, and provide general lab support as needed. May assist with purchasing laboratory equipment. *- Other duties may also be assigned DESIRED QUALIFICATIONS: Background in stem cell biology, cancer biology, and/or immunology. Expertise with molecular biology techniques such as DNA/RNA isolation, PCR, qPCR, CRISPR/Cas9, and/or cloning. Excellent written and oral communication skills. Organized and capable of maintaining detailed experimental records. Able to: operate a computer and software; including knowledge of Excel, Word, PowerPoint, Adobe Acrobat; oversee lab maintenance, inventory, and ordering of supplies; supervise and/or train laboratory staff or students. Experience in: drafting and maintaining IRB, IACUC, and/or laboratory safety protocols; tissue culture of human and mouse cell lines; mouse colony management, husbandry, and care; human and mouse tissue processing; GraphPad Prism, R, and FlowJo; flow-cytometry analysis and sorting. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree in related scientific field and two years of relevant work experience; or Master's degree in a related scientific field. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Comprehensive understanding of scientific principles. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Strong analytical skills and excellent judgment. Ability to maintain detailed records of experiments and outcomes. Ability to work under deadlines with general guidance is essential. Excellent organizational skills and demonstrated ability to accurately complete detailed work. PHYSICAL REQUIREMENTS*: Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push and pull objects weighing over 40 pounds. Occasionally sit, kneel, crawl, reach and work above shoulders, sort and file paperwork or parts. Rarely climb, scrub, sweep, mop, chop and mix or operate hand and foot controls. Must have correctible vision to perform duties of the job. Ability to bend, squat, kneel, stand, reach above shoulder level, and move on hard surfaces for up to eight hours. Ability to lift heavy objects weighing up to 50 pounds. Ability to work in a dusty, dirty, and odorous environment. Position may require repetitive motion. *- Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: May require working in close proximity to blood borne pathogens. May require work in an environment where animals are used for teaching and research. Position may at times require the employee to work with or be in areas where hazardous materials and/or infectious diseases are present. Employee must perform tasks that require the use of personal protective equipment, such as safety glasses and shoes, protective clothing and gloves, and possibly a respirator. May require extended or unusual work hours based on research requirements and business needs. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors bases on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, ******************************* The expected pay range for this position is $85,376 to $99,581 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https:///benefits-rewards) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. Keywords: stem cell biology, cancer research, molecular biology, PCR, CRISPR, laboratory management, data analysis, experimental design, biomedical research, scientific publication
    $85.4k-99.6k yearly 6d ago
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  • GenAI Research Scientist: LLMs & Generative Models

    Menlo Ventures

    Research assistant job in San Francisco, CA

    A leading AI technology company in San Francisco is seeking a Research Scientist to advance AI models and techniques. You'll work in a collaborative environment, focusing on novel research, and applying AI solutions to real-world challenges. Candidates with a Bachelor's or Master's degree and 2+ years of relevant experience are encouraged to apply, with a competitive salary range of $192,000 - $260,000. #J-18808-Ljbffr
    $192k-260k yearly 4d ago
  • Research Scientist, Ultrasound Imaging

    Nudge Real Estate

    Research assistant job in San Francisco, CA

    About Nudge Nudge's goal is to help the brain work better by creating a generalized product that can precisely stimulate and image the brain, entirely non-invasively. We aim to achieve this by developing cutting-edge ultrasound technology to treat neurological and psychiatric disorders, like addiction, and eventually, creating a mainstream consumer device that can modulate mood, focus, sleep, and more. To realize those ambitions, we're growing a scrappy, multidisciplinary, science and engineering team focused on making the best technology possible for interfacing with the whole brain, and a product that has the potential to improve people's daily lives more than any other. About the team The Research Team at Nudge is innovating on multiple frontiers in neuroscience and neurotechnology, and is primarily focused on developing ultrasound-based neuromodulation to treat conditions like depression, chronic pain and addiction as well as enhance the wellbeing of healthy people. We're also building the first scalable, portable hardware for noninvasive structural ultrasound-based imaging the quality of an MRI. The team is running human trials for neuromodulation and developing algorithms that will enable on-device imaging. About the role Work closely with the Head of Research and engineering team to build the capabilities for on-device ultrasound-based imaging. Develop algorithms for structural and functional ultrasound-based imaging Perform validation of in-silico ultrasound imaging methods with Nudge hardware in physical models and in vivo Contribute to the development of aberration correction techniques informed by ultrasound-based imaging About you 5+ years experience PhD or Postdoc in Bioengineering, Medical Imaging, Physics or equivalent Expertise in ultrasound physics and metrology Demonstrated history of exceptional contributions in your prior work experiences Expertise in one or more of: Full-waveform inversion imaging Functional transcranial doppler imaging Functional ultrasound imaging Machine learning experience a plus Compensation $140,000 - $230,000/year + equity Your salary may vary depending on multiple factors such as job-related knowledge, skills, and experience. #J-18808-Ljbffr
    $140k-230k yearly 2d ago
  • Research Scientist, Mathematical Sciences

    Openai 4.2company rating

    Research assistant job in San Francisco, CA

    About the Team The Strategic Deployment team makes frontier models more capable, reliable, and aligned to transform high-impact domains. On one hand, this involves deploying models in real-world, high-stakes settings to drive AI-driven transformation and elicit insights-training data, evaluation methods, and techniques-to shape our frontier model development. On the other hand, we leverage these learnings to build the science and engineering of impactful frontier model deployment. As a key element of this effort, OpenAI for Science aims to harness AI to accelerate the process of scientific research. This involves building models and an AI-powered platform that speeds up discovery and helps researchers everywhere do more, faster. About the Role As a Research Scientist focused on the mathematical sciences, you will help build models, tools, and workflows that move theoretical research-in fields such as mathematics, theoretical physics, and theoretical computer science-forward. You\'ll design domain-specific data and signals, shape training and evaluation, guide how to wire models to scientific tools, and work with the academic community to speed up adoption and impact. We\'re looking for people who... Hold a current or recent academic position in mathematical sciences (mathematics, theoretical physics, theoretical computer science) or a related field Regularly use frontier models in their own research Move easily between theory and code, and are eager to contribute technically as well as academically Either know or are eager to learn modern AI and run AI experiments end-to-end Are strong scientific communicators Care about rigor and reproducibility in scientific results This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will Assist in designing and building frontier AI models that are great at solving frontier mathematical sciences problems Build high-quality scientific datasets and synthetic data pipelines (symbolic, numeric, and simulator-based) Design reinforcement and grading signals for physics and run reinforcement learning/optimization loops to improve model reasoning Define and run evals for scientific reasoning, derivations, simulations, and literature grounding; track progress over time Partner with research labs and the academic community Drive adoption of frontier AI within the scientific community Uphold high standards for safety, data governance, and reproducibility You might thrive in this role if you Are passionate about pushing the boundaries of your field using AI Have used ChatGPT to do calculations and prove or improve lemmas in your field of study Communicate clearly to both scientists and AI engineers; you like collaborating across teams and with academia Nice to have Open-source contributions to mathematical science or AI tooling Experience building or curating domain datasets and benchmarks Experience engaging a research community (teaching, workshops, tutorials, standards) About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI\'s Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $380K - $460K #J-18808-Ljbffr
    $106k-174k yearly est. 3d ago
  • Robotics Research Scientist - Dexterous & Mobile Manipulation

    Multiply Labs 3.1company rating

    Research assistant job in San Francisco, CA

    A cutting-edge robotics startup is looking for a Research Scientist to enhance their robotic manipulation systems. This role entails advancing research, collaborating on publications, and prototyping solutions within a multi-disciplinary team. The ideal candidate has a strong grasp of modern robotic methods and 5+ years of relevant experience, alongside a solid publication record in prestigious conferences. Compensation ranges from $160,000 to $210,000 annually, with equity options available. #J-18808-Ljbffr
    $160k-210k yearly 2d ago
  • Research Scientist - Salesforce AI Research

    Niebles

    Research assistant job in San Francisco, CA

    *To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.*Salesforce Research advances state-of-the-art AI techniques, developing models and prototypes that pave the path for innovative products at Salesforce. We tackle real-world problems in areas such as image recognition and natural language processing from Salesforce's enterprise customers by harnessing the latest deep learning techniques. As part of our team you'll learn unique skills, work with talented people and help us shape the future of AI in Palo Alto and our recently announced new hub, Salesforce Research Asia in Singapore!**Job Category**Software Engineering****Job Details********About Salesforce****Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.**Salesforce AI Research is looking for outstanding AI Research Scientists / Research Engineers.**Our team discovers new research problems, develops novel models, and bridges the gap between groundbreaking theory and customer-facing reality. We are dedicated to a high-impact research model that provides the best of both worlds: the ability to advance the state-of-the-art in AI and the opportunity to see that work operate at massive, real-world scale within the world's #1 AI CRM. We believe that making substantive progress on hard, enterprise-level applications drives and sharpens the research questions we study.Check out our website to learn more about the groundbreaking work of the Salesforce AI Research team:**Candidates have a strong background in one or more of the following areas:*** **Agentic AI & Reasoning:** LLM-powered agents, reinforcement learning, and autonomous workflows.* **Multimodal & Computer Vision:** Vision-language models (VLM), video understanding, and visual grounding for GUI agents.* **Speech Intelligence:** Voice intelligence, TTS/ASR, human-like turn-taking, and low-latency audio processing.* **Efficient Systems:** Scalable deep learning infrastructure, high-performance audio/video pipelines, and low-latency deployment.* **Core Modeling:** Machine learning methodology, pre-training/post-training (RLHF, DPO), and model distillation.**Responsibilities:*** Own and pursue ambitious research and engineering goals aligned with strategic initiatives.* Develop novel models and technical solutions for real-world, large-scale problems within the enterprise ecosystem.* Design, build, and maintain production-ready services, including scalable APIs and agentic evaluators.* Collaborate across a strike-team of researchers and engineers to deliver complex projects that directly impact our core AI products and customer experiences.**Minimum Qualifications:*** Ph.D., Master's, or Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.* A strong publication record in top AI venues (e.g., NeurIPS, ICLR, ICML, CVPR, ICCV, ACL, EMNLP) **OR** a proven track record of shipping AI products to real users.* Demonstrated expertise in one or more core focus areas: LLMs, Agentic Systems, Computer Vision/Multimodal, Speech Intelligence, or Research Engineering.* Experience with Python and deep learning libraries/platforms (e.g., PyTorch, Jax, or DeepSpeed).* Proven ability to implement, operate, and deliver results via innovation at a large scale.**Preferred Qualifications:*** Full-time industry experience in deep learning research and/or product development.* Experience training and evaluating large-scale multimodal models or speech models, including techniques for alignment, safety, and latency optimization.* Experience with production cloud deployments (AWS/GCP), container orchestration (Kubernetes), or high-performance systems (MLOps).* Strong programming skills, with a competitive background (e.g., ACM-ICPC or significant open-source contributions) or experience in UI/graphic design.* Thoughtful about AI impacts, trust, and ethics.* Outstanding communication, collaboration, and problem-solving skills.Unleash Your PotentialWhen you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and *be your best*, and our AI agents accelerate your impact so you can *do your best*. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.****Accommodations****If you require assistance due to a disability applying for open positions please submit a request via this .****Posting Statement****Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: ******************************************* to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.### ### At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.The typical base salary range for this position is $114,200 - $306,600 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $137,100 - $334,600 annually.The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.### ### ### ### ### ###Founded in 1999, Salesforce is the global leader in Customer Relationship Management (CRM). Companies of every size and industry are using Salesforce to transform their businesses, across sales, service, marketing, commerce, and more by connecting with customers in a whole new way. We harness technologies that can revolutionize companies, careers, and, hopefully, our world. Salesforce is built on a set of four core values: Trust, Customer Success, Innovation, and Equality. By making technology more accessible, we're helping create a future with greater opportunity and equality for all. This has taken our company to great heights, including being ranked by Fortune as one of the “Most Admired Companies in #J-18808-Ljbffr
    $95k-160k yearly est. 3d ago
  • Research Scientist (diffusion)

    Genmo

    Research assistant job in San Francisco, CA

    We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. Key responsibilities Lead research initiatives in advanced diffusion models for text-to-video generation, focusing on improving visual quality, temporal consistency, and semantic fidelity Develop and implement state-of-the-art algorithms for translating textual descriptions into dynamic video content Design and conduct rigorous experiments to validate new ideas and evaluate model performance Collaborate with cross-functional teams to integrate research breakthroughs into our production pipeline Stay at the cutting edge of the field by regularly reviewing academic literature and attending top-tier conferences Contribute to the research community through high-quality publications and open-source contributions Mentor junior researchers and foster a culture of innovation within the research team Work closely with product teams to align research directions with user needs and market opportunities Qualifications Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field Must have: Strong publication record in top-tier conferences (e.g., CVPR, ICCV, NeurIPS, ICML) with a focus on generative models, particularly diffusion models Extensive experience implementing and optimizing large-scale generative models for image or video tasks Deep understanding of state-of-the-art techniques in text-to-image and text-to-video generation Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow Excellent communication skills with the ability to explain complex technical concepts to diverse audiences Proven ability to work collaboratively in a team environment Ideal candidate will have: Postdoctoral or industrial research experience in generative AI for video Hands-on experience with text-to-video generation projects Expertise in other generative model architectures (e.g., GANs, VAEs) and their applications to video Experience working with large-scale datasets and distributed computing environments Track record of successful collaboration with product teams on technology transfers Familiarity with video codecs, compression techniques, and perceptual quality metrics Contributions to open-source projects in the field of generative AI Additional information The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation. Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish. #J-18808-Ljbffr
    $95k-160k yearly est. 3d ago
  • Machine Learning Research Scientist at fast-growing AI research startup

    Jack & Jill/External ATS

    Research assistant job in San Francisco, CA

    Machine Learning Research Scientist : Fast-growing AI research startup : As a Machine Learning Research Scientist, you will drive the development of next-generation AI models at a well-funded startup in the heart of San Francisco. You will lead groundbreaking research initiatives, translate complex theoretical concepts into scalable production code, and collaborate with a world-class team to push the boundaries of what is possible in machine intelligence. Location: San Francisco, USA Why this role is remarkable: Opportunity to work on bleeding-edge AI research that directly impacts the core product roadmap Backed by top-tier VCs in an environment that prioritizes technical excellence and rapid experimentation Join a high-caliber team of researchers and engineers from leading global technology institutions What you will do: Design and implement novel machine learning architectures to solve complex, high-dimensional data challenges Conduct rigorous experiments to validate model performance and ensure robustness in real-world applications Collaborate with engineering teams to integrate research breakthroughs into a scalable software ecosystem The ideal candidate: PhD or equivalent research experience in Computer Science, Mathematics, or a related quantitative field Proven track record of publishing at top-tier AI conferences such as NeurIPS, ICML, or ICLR Proficiency in deep learning frameworks like PyTorch or TensorFlow and strong software engineering fundamentals Next steps Step 1. Visit our website. Step 2. Click Talk to Jack. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free. #J-18808-Ljbffr
    $95k-160k yearly est. 2d ago
  • ML Research Scientist - Quantum Accelerated Generative Models

    Sygaldry Technologies

    Research assistant job in San Francisco, CA

    About Sygaldry Sygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference for AI. By integrating quantum and AI, we're accelerating the path to superintelligence, and engineering the conditions for it to scale efficiently and operate affordably. Sygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture to deliver the combination of cost, scale, and speed necessary for advanced AI applications. We pioneer new domains in physics, engineering, and AI, tackling the hardest challenges with a grounded, optimistic, and rigorous culture. We're looking for individuals ready to define the intersection of quantum and AI and drive its profound global impact. About the Role Generative AI is transforming what's computationally possible-but it's also exposing the limits of classical hardware. Diffusion models produce extraordinary results, yet their iterative sampling and high-dimensional score estimation create computational bottlenecks that scale poorly. We believe quantum computing offers a path through these bottlenecks. As an ML Research Scientist, you'll work at the frontier of generative modeling and quantum acceleration, developing the theoretical foundations and practical implementations that connect these fields. You'll identify where quantum approaches can provide genuine advantage in generative workflows-not incremental improvements, but structural speedups rooted in the mathematics of these models. What You'll Work On Generative Model Architecture & Efficiency Advance state-of-the-art diffusion and score-based generative models Analyze computational bottlenecks in sampling, denoising, and likelihood estimation Develop and benchmark novel solver methods for diffusion ODEs/SDEs Quantum-Classical Integration Identify mathematical structures in generative models amenable to quantum speedup Prototype hybrid workflows where quantum subroutines accelerate classical pipelines Rigorously benchmark theoretical versus practical advantage in realistic workloads Research to Production Translate research insights into scalable implementations Collaborate with quantum hardware teams to inform architecture requirements Build systems that make quantum-accelerated generation accessible to practitioners You May Be a Good Fit If You Have deep expertise in diffusion probabilistic models, score matching, or related generative methods Understand the mathematical foundations: SDEs, ODEs, Langevin dynamics, probability flow Are experienced with ML frameworks (PyTorch, JAX) and efficient inference implementation Question assumptions and validate with rigor, following interesting threads wherever they lead Communicate complex ideas clearly across research communities Are excited to work on problems no one has solved before Strong Candidates May Have Published research on diffusion models, score-based generation, or neural ODE/SDE methods Experience optimizing sampling efficiency (DDIM, DPM-Solver, consistency models, etc.) Familiarity with numerical methods for differential equations Understanding of quantum algorithms and computational complexity Background in high-dimensional probability or stochastic processes Why This Matters Your work accelerates the path to quantum superintelligence. Each quantum component integrated, each AI model enhanced, each instruction set optimized brings us closer to a future where intelligence and quantum mechanics are inextricably intertwined. We're not building incremental improvements - we're creating exponential transformations that will make AI more affordable, sustainable, personalized, and fundamentally more capable. How We're Different We're building the infrastructure for quantum superintelligence and pioneering new domains at the intersection of physics, engineering, and AI. At Sygaldry, curiosity and intellectual courage drive our work. We approach ambitious challenges with a grounded, optimistic, and rigorous culture and know that kind people build the strongest teams. We prioritize mission over ego and collaborate openly with a strong sense of shared purpose. We dream big, yet we execute with a love of detail. We're looking for scientists, engineers, and operators to forge new paths with us at the intersection of quantum and AI. Culture & Benefits Visa Sponsorship - We know what it takes to make top talent thrive here. We're open to supporting visas whenever possible. Compensation - We value your contribution and invest in your future with a competitive salary and meaningful equity. Benefits - Your well-being matters. We provide company-sponsored health coverage to give you and your family peace of mind. Connection - Whether it's company offsite or casual crew socials, we make time to connect, recharge, and have fun together. Time Off - We trust you to take the time you need. Unlimited PTO so you can rest, recharge, and come back ready to make an impact. We encourage applications from candidates with diverse backgrounds. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. We encourage you to apply even if you do not believe you meet every single qualification. If you don't think this role is right for you, but you believe that you would have something meaningful to to contribute to our mission, please reach out at ********************** #J-18808-Ljbffr
    $95k-160k yearly est. 4d ago
  • Hedge Fund Research Analyst - Quant & Portfolio Monitoring

    Callan 4.3company rating

    Research assistant job in San Francisco, CA

    A leading investment consulting firm in San Francisco seeks a hedge fund investment analyst to conduct research and monitor hedge fund performance. The candidate will collaborate with a team to provide insights into hedge fund strategies and assist in presentations to clients. An ideal candidate will possess a bachelor's degree in finance or a related field, along with two years of related experience. A commitment to strong communication and client relationships is essential. #J-18808-Ljbffr
    $110k-169k yearly est. 5d ago
  • Fund & Co-Investment Research Associate

    Allocate Holdings Inc.

    Research assistant job in Palo Alto, CA

    Fund & Co-Investment Research Associate About Allocate Allocate is transforming private market investing by enabling wealth advisory firms to seamlessly build and manage high-quality private market programs. About the Role We're seeking a Fund & Co-Investment Research Associate to join our Private Investments team. This isn't a traditional allocator role, as you'll be a critical connector between world-class fund managers, wealth advisory CIOs, and help build and manage our technology platform. You'll evaluate venture capital and private equity opportunities, conduct manager diligence, and spend significant time with wealth advisor investment teams discussing curated deals. You need to deeply understand opportunities, answer sophisticated questions, and provide clear, accurate analysis that helps clients make confident investment decisions. Equally important, you'll own the completeness and accuracy of our platform content, ensuring all investment materials, copy, and compliance documentation stay current. Key Responsibilities Investment Research & Diligence: Conduct quantitative and qualitative research on private market managers and co-investment opportunities across venture capital, private equity, and adjacent asset classes. Prepare balanced investment analysis and recommendations. Client Engagement: Spend substantial time with wealth advisor CIOs and their investment teams discussing curated opportunities. Field detailed questions, articulate investment theses, and provide real-time analysis that demonstrates deep command of each deal. GP Relationship Development: Build and maintain relationships with fund managers, including structuring conversations, access discussions, and ongoing partnership development. Platform Completeness: Own platform content integrity-ensure investment materials are updated, copy is accurate and compliant, and all client-facing documentation metour quality standards. Sourcing & Pipeline Development: Proactively source differentiated fund and co-investment opportunities through targeted outreach, industry relationships, and market intelligence. Cross-Functional Collaboration: Partner with product, technology, and operations teams to refine platform capabilities and enhance the client investment experience. Portfolio Monitoring: Support post-investment updates, quarterly reporting, and ongoing portfolio analytics for client transparency. Market Intelligence: Develop insights and content that position Allocate as a leading voice in private markets. Qualifications Experience & Knowledge: 3+ years of experience in venture capital, private equity, wealth management, investment banking, or related fields. Deep industry knowledge of the VC/PE ecosystem, fund structures, and how institutional platforms operate. Strong understanding of private markets and alternative investments. Skills & Attributes: Hustler mentality: Proactive, resourceful, and self-directed-you don't wait to be told what to do. Exceptional communication: You can explain complex investment concepts clearly and handle sophisticated Q&A with institutional allocators. Highly personable: You build authentic relationships with both GPs and wealth advisory teams. Commercial mindset: You think about client needs, platform scalability, and growth. Startup DNA: You thrive in fast-paced environments, embrace ambiguity, and move quickly. Meticulous attention to detail: You ensure accuracy and compliance across all materials. Analytical excellence: You combine quantitative rigor with qualitative judgment. Not a Fit If You're: A pure allocator looking for a traditional fund-of-funds seat. More comfortable with analysis only role than relationship-building and client engagement. Seeking a slow-paced, process-heavy environment. Unfamiliar with how technology platforms operate. Why Allocate? Shape the infrastructure layer for an entire industry. Ability to immediately work with top VCs and PE firms, along with CIOs in the wealth advisory world. Allocate is one of the fastest-growing platforms in private markets. Palo Alto office in the heart of the venture ecosystem. High impact, high visibility work with real ownership and autonomy. Additional Information Location: Palo Alto, CA. Must be able to work in-office 4 days a week. Compensation: $160K-$200K base + bonus + stock equity. Benefits: Medical, dental, vision, 401(k), responsible time off. Employment: Full-time. Compliance: This role is subject to Allocate's Code of Ethics and all related compliance obligations. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Must have legal authorization to work in the U.S. now and in the future without visa sponsorship. #J-18808-Ljbffr
    $49k-80k yearly est. 5d ago
  • Research Scientist in the Center for Brain and Health - Drs Bas Rokers and Kartik Sreenivasan

    New River Community College 3.7company rating

    Research assistant job in San Francisco, CA

    The Center for Brain and Health (CBH) at New York University Abu Dhabi (NYUAD) is seeking a Research Scientist to explore scientific questions related to an in-progress normative brain database. The research scientist will be a key member of a multidisciplinary team responsible for collection of multimodal brain data, including MR imaging, MEG, EEG, and eye tracking. The tentpole of the CBH is the first normative brain database in the region, featuring structural, functional, diffusion MRI, behavioral and health measures, genetic information, and lifestyle questionnaires. The anticipated appointment start date is May 1, 2026, with a guaranteed term of 18 months and the possibility of renewal based on performance. Responsibilities Explore scientific questions related to the normative brain database. Conduct data collection and processing of multimodal MR imaging, MEG, EEG, and eye tracking. Apply big‑data analysis techniques and advanced computational methods to brain imaging data. Collaborate with the multidisciplinary research team. Contribute to peer‑reviewed publications and scientific communication. Qualifications Ph.D. in Neuroscience, Psychology, MR Physics, Data Science, Computer Science, or a related field. Postdoctoral experience or an equivalent level of experience preferred. Extensive experience with multimodal MRI, including functional, structural, and tractography methods. Proficiency in big‑data analysis techniques. Experience with other large brain databases preferred. Strong computational skills and a solid publication record. Benefits Competitive salary and benefits. Housing allowance. Other benefits as specified in the employment terms. Application Instructions Cover letter. Curriculum vitae with a full publication list. Transcript. Statement of research interests. Three representative publications. Three letters of reference. All materials must be submitted in PDF format. Applications are accepted immediately; please submit through the NYUAD careers page at ************************************************************* For questions, contact ************** or **************************. UAE nationals are encouraged to apply. Equal Employment Opportunity Statement NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels. Sustainability Statement NYU aims to be among the greenest urban campuses in the country and achieve carbon neutrality by 2040. Learn more at nyu.edu/sustainability. #J-18808-Ljbffr
    $101k-126k yearly est. 2d ago
  • Audio AI Researcher: Build Steerable Speech Systems

    Menlo Ventures

    Research assistant job in San Francisco, CA

    A leading AI research company in San Francisco is hiring for a position on their Audio team. The role involves developing and training advanced audio models, optimizing performance, and working collaboratively across teams. Ideal candidates will have strong expertise in JAX or PyTorch, a background in audio machine learning, and a passion for creating safe, reliable AI systems. The compensation ranges from $350,000 to $500,000, and the position offers flexible working hours and a supportive team environment. #J-18808-Ljbffr
    $66k-129k yearly est. 2d ago
  • Research Scientist - Drive Scalable ML & Broad Impact

    Openai 4.2company rating

    Research assistant job in San Francisco, CA

    An established industry player is seeking a passionate Research Scientist to innovate and advance machine learning techniques. This role offers the opportunity to develop impactful research while collaborating across teams to push the boundaries of AI. Ideal candidates will have a track record of innovation, a strong understanding of deep learning algorithms, and a commitment to the ethical implications of AI technology. Join a forward-thinking organization dedicated to ensuring AI benefits all of humanity and play a pivotal role in shaping the future of technology. #J-18808-Ljbffr
    $106k-174k yearly est. 3d ago
  • Life Science Research Professional - 2-year fixed term (Multiple positions)

    Stanford University 4.5company rating

    Research assistant job in Stanford, CA

    Life Science Research Professional - 2-year fixed term (Multiple positions) at Stanford University summary: The Life Science Research Professional supports rodent neuroscience research focused on brain disorders such as Alzheimer's and Parkinson's at Stanford University. Responsibilities include conducting experiments involving mouse MRI imaging, optogenetic virus injections, brain histology, colony management, genotyping, and data analysis. The role also involves lab maintenance, inventory management, training new staff, and contributing to scientific publications. Does the brain fascinate you? Do you want to fight Alzheimer's, Parkinson's, Epilepsy, and stroke? Are you a team player with precise hands-on lab skills? The Jin Hyung Lee Lab at Stanford University is seeking a Life Science Research Professional 1 (2 Year Fixed Term) to support rodent neuroscience research projects using cutting edge laboratory techniques. Main duties will include assisting with mouse MRI imaging, optogenetic virus injections, mouse brain histology, mouse colony management and genotyping, and data analysis (e.g. electrophysiology spike sorting). Our current lab website is ************************* (will be updated soon) and our LinkedIn page is Duties include*: Plan approach to experiments in support of research projects in lab and/or field based on knowledge of scientific theory. Independently conduct experiments; maintain detailed records of experiments and outcomes. Apply the theories and methods of a life science discipline to interpret and perform analyses of experiment results; offer suggestions regarding modifications to procedures and protocols in collaboration with senior researcher. Review literature on an ongoing basis to remain current with new procedures and apply learnings to related research. Contribute to publication of findings as needed. Participate in the preparation of written documents, including procedures, presentations, and proposals. Help with general lab maintenance as needed; maintain lab stock, manage chemical inventory and safety records, and provide general lab support as needed. Assist with orientation and training of new staff or students on lab procedures or techniques. *- Other duties may also be assigned DESIRED QUALIFICATIONS: Ability to perform precision hands-on lab work with minimum error. Good skills in brain histology. Prior rodent research lab experience. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree in related scientific field. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): General understanding of scientific principles. Demonstrated performance to use knowledge and skills when needed. Demonstrated ability to apply theoretical knowledge of science principals to problem solve work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general guidance. Excellent organizational skills and demonstrated ability to accurately complete detailed work. PHYSICAL REQUIREMENTS*: Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push and pull objects weighing over 40 pounds. Occasionally sit, kneel, crawl, reach and work above shoulders, sort and file paperwork or parts. Rarely climb, scrub, sweep, mop, chop and mix or operate hand and foot controls. Must have correctible vision to perform duties of the job. Ability to bend, squat, kneel, stand, reach above shoulder level, and move on hard surfaces for up to eight hours. Ability to lift heavy objects weighing up to 50 pounds. Ability to work in a dusty, dirty, and odorous environment. Position may require repetitive motion. *- Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: May require working in close proximity to blood borne pathogens. May require work in an environment where animals are used for teaching and research. Position may at times require the employee to work with or be in areas where hazardous materials and/or infectious diseases are present. Employee must perform tasks that require the use of personal protective equipment, such as safety glasses and shoes, protective clothing and gloves, and possibly a respirator. May require extended or unusual work hours based on research requirements and business needs. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors bases on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, ******************************* The expected pay range for this position is $31.40 to $38.89 per hour. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (************************* provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. This position is fully on-site. Keywords: neuroscience research, rodent models, mouse MRI imaging, optogenetics, brain histology, colony management, genotyping, electrophysiology, laboratory techniques, data analysis
    $31.4-38.9 hourly 6d ago
  • Trailblazing ML Research Scientist - San Francisco

    Jack & Jill/External ATS

    Research assistant job in San Francisco, CA

    A fast-growing AI research startup in San Francisco seeks a Machine Learning Research Scientist to develop next-generation AI models. The role involves designing innovative architectures, validating model performance, and collaborating with engineers. Candidates should have a PhD or equivalent experience in a related field, a strong publication record, and proficiency in deep learning frameworks. This position offers a unique chance to impact core products and work with leading researchers in the industry. #J-18808-Ljbffr
    $95k-160k yearly est. 2d ago
  • Junior Research Scientist in the Division of Science (Psychology) - Dr Kartik Sreenivasan

    New River Community College 3.7company rating

    Research assistant job in San Francisco, CA

    The Sreenivasan Lab at New York University Abu Dhabi (NYUAD) is seeking a Research Assistant to conduct studies examining working memory in human subjects. Applicants with a background in programming and interest in working memory are encouraged to apply. Terms of employment include competitive salary and benefits. Research in the Sreenivasan Lab focuses on the neurobiological mechanisms that constrain working memory ability. Our projects involve collaborations with Psychology and Biology faculty at NYUAD as well as Psychology faculty at NYU New York. The neuroimaging facilities at NYUAD include a 3T Prisma MRI, MEG, EEG, and eye tracking. Responsibilities Collect behavioral and neurophysiological data Program experiments and analysis routines Manage the day-to-day functioning of the lab Qualifications Candidates must hold a bachelors degree or equivalent, though a masters degree is preferred. The ideal candidate will have extensive experience with MATLAB or an equivalent programming language, strong computational skills, and a background in experimental psychology or neuroscience. We are particularly interested in candidates with experience and interest in addressing questions about working memory using neuroimaging. Organizational skills and attention to detail are essential. Application process Applications will be accepted immediately. To be considered, all applicants must submit a cover letter/statement of research interests, a CV, transcript, and contact information for at least two references, all in PDF format. If you have any questions, please email Dr. Sreenivasan: **************************. Appointment and Benefits The anticipated appointment is from February 1, 2026 to January 31, 2027, with opportunity for renewal of the position for additional years following performance evaluation. The terms of employment include highly competitive salary, housing allowance, and other benefits. About NYU Abu Dhabi NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity's shared challenges. NYU Abu Dhabi\'s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU\'s campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. UAE Nationals are encouraged to apply. Legal and Equality Statements NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels. Sustainability Statement: NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability #J-18808-Ljbffr
    $56k-72k yearly est. 1d ago
  • Research Scientist

    Openai 4.2company rating

    Research assistant job in San Francisco, CA

    By applying to this role, you will be considered for Research Scientist roles across all teams at OpenAI. About The Role As a Research Scientist here, you will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization. We are looking for people who want to discover simple, generalizable ideas that work well even at large scale, and form part of a broader research vision that unifies the entire company. We Expect You To Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Be excited about OpenAI's approach to research. Nice To Have Interested in and thoughtful about the impacts of AI technology. Past experience in creating high-performance implementations of deep learning algorithms. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. #J-18808-Ljbffr
    $106k-174k yearly est. 3d ago
  • GenAI Research Scientist

    Menlo Ventures

    Research assistant job in San Francisco, CA

    At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions. The Mosaic AI organization enables companies to develop AI models and systems using their own data, with technologies ranging from pre-training LLMs from scratch to augmented generation using the latest retrieval techniques. Mosaic AI does so by producing novel science and putting it into production. Mosaic AI is committed to the belief that a company's AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all. Job Description As a Research Scientist on the GenAI Team at Databricks, you will be responsible for keeping up with the latest developments in deep learning and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful when they train large models, and we encode our scientific expertise into our products to make that possible. You might be a good fit if you… Are comfortable working with large-scale LLMs in the 10s to 100s of billions of parameters. Have solid ML and RL software engineering and scientific research skills. Have produced novel research related to fine-tuning LLMs or improving upon pre-trained LLMs. Have specialized expertise in topics like fine-tuning, RLHF, LLM tool-use, etc. Are passionate about getting your work into the hands of real users and - more broadly - democratizing access to modern AI technology. Are motivated by working on LLM research that - contrary to the general trend in the field - will be disclosed to the public. Have strong communication skills and a desire to work on a small, fast-paced team. Your Responsibilities Keeping up to date with the research literature and thinking beyond the state of the art to address the needs of our users. Developing and implementing methods that extend and improve model capabilities, reliability, and safety. Rigorously evaluating these methods, communicating the results of your findings, and putting those that are useful into production. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $150,000 - $190,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit ***************************************** Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr
    $150k-190k yearly 4d ago
  • Basic Life Research Scientist (3 Year Fixed Term)

    Stanford University 4.5company rating

    Research assistant job in Stanford, CA

    The Basic Life Research Scientist at Stanford University conducts advanced experimental and computational research to study protein-RNA interactions at scale, integrating high-throughput sequencing with machine learning methods. This role involves designing and optimizing experimental protocols, analyzing data, preparing scientific reports, and mentoring junior lab members within a collaborative and inclusive environment. The position contributes to innovative genomic research with the goal of advancing knowledge in molecular biology and improving human health outcomes. The Department of Genetics at Stanford University is a leading center for genomic research, dedicated to understanding the molecular mechanisms underlying human health and disease. Our department brings together world-class faculty and researchers who develop and employ cutting-edge technologies -from molecular to computational approaches- to tackle fundamental questions in genetics. We foster a collaborative, interdisciplinary environment that bridges basic science with clinical applications, training the next generation of geneticists while pursuing discoveries that translate into improved human health outcomes. Our mission emphasizes scientific excellence, innovation, and the responsible application of genetic knowledge to benefit society. We are committed to building an inclusive scientific community that values the contributions of all our members to our research programs. The Cox laboratory at Stanford University School of Medicine seeks a full-time staff research scientist to accelerate the development of novel technologies for probing protein-RNA interactions at scale. Our laboratory aims to solve the fundamental challenge of predicting protein-RNA complex structures directly from sequence by integrating high-throughput experimental data with machine learning methods. The successful candidate will focus primarily on developing and implementing the experimental technologies that enable these large-scale measurements. More information about the lab can be . In this role, you will perform professional research in support of our scientific mission. You will contribute to developing research goals for the laboratory, work collaboratively with the Lab Head to determine optimal research methods, and independently perform scientific procedures requiring professional judgment. Additional responsibilities include interpreting experimental results, reviewing pertinent literature, and preparing research reports for presentation and publication. What we provide: Basic science research projects with potential for broad and sustained impact on pressing biomedical problems Training in cutting-edge experimental and computational methods in molecular biology and biochemistry, including high-throughput sequencing A collaborative, inclusive, and supportive research environment Opportunities for authorship on research publications A team committed to continuous learning and scientific collaboration Membership in Stanford's vibrant scientific communities across the Department of Genetics, School of Medicine, and broader university CORE DUTIES: Research & Technical Development: Design, develop, and perform specialized experimental procedures for protein-RNA interaction studies, including high-throughput sequencing-based assays Identify methodological challenges in research protocols and implement innovative solutions to optimize experimental outcomes Evaluate emerging technologies and lead the integration of new methodologies into laboratory workflows Troubleshoot complex experimental systems and maintain laboratory instrumentation Organize experimental data Data Analysis & Reporting: • Prepare comprehensive research reports, manuscripts, and presentations for scientific meetings and publication • Collaborate on data visualization and statistical analysis to support research conclusions Laboratory Leadership & Management: Develop and implement short- and long-term research strategies in collaboration with the Lab Head Train and mentor junior laboratory members in experimental techniques and data analysis methods Oversee laboratory operations including supply management, equipment maintenance, and safety protocols Prepare specifications for specialized equipment and coordinate procurement of some research supplies Required Qualifications: Ph.D. in biochemistry, molecular biology, structural biology, genetics, or related field; or equivalent combination of education and experience Demonstrated experience with protein purification, nucleic acid biochemistry, and next-generation sequencing technologies Strong technical proficiency combined with scientific creativity and collaborative skills Ability to work independently while contributing effectively to team-based research goals Ability to develop innovative processes to achieve goals. Directs others to develop essential tasks. Reviews work activities to determine where new information could improve processes or move projects forward Ability to write and prepare reports or manuscripts for presentation to large audiences. Experience mentoring and training junior researchers Commitment to fostering an inclusive and collaborative research environment Preferred Qualifications: Experience with biochemical assays for protein-nucleic acid interactions Familiarity with computational analysis of next-generation DNA sequencing data Prior experience in technology development or method optimization Track record of scientific publications in peer-reviewed journals Physical Requirements: Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet). Please Note: • This job description sets forth the job's principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. • Interested applicants should submit a cover letter, current CV, publication list and the contact information for at least 3 references with their application. The expected pay range for this position is $75,000 to $96,000 per annum. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors. Keywords: protein-RNA interaction, genomic research, high-throughput sequencing, molecular biology, machine learning, biochemistry, structural biology, experimental design, data analysis, scientific publication
    $75k-96k yearly 6d ago

Learn more about research assistant jobs

How much does a research assistant earn in Union City, CA?

The average research assistant in Union City, CA earns between $32,000 and $82,000 annually. This compares to the national average research assistant range of $28,000 to $64,000.

Average research assistant salary in Union City, CA

$52,000
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