Research technician jobs in Castro Valley, CA

⚡ Research Scientist - Data focus 💊 Foundation Models, AI Research Institute 🌎 San Francisco Bay Area, USA 💸 $200,000 - $350,000 salary + bonus Come join a revolutionary AI research lab in SF Bay Area that is poised to develop & publish high-impact breakthroughs in GenAI - across LLMs and Multimodal AI. As part of the team, you'll work at the intersection of data, large-scale training, and foundation model innovation. You will collaborate with world-class researchers, data scientists, and engineers to solve critical challenges in creating robust, scalable, and reasoning-capable LLMs. Your research will shape the way data is curated, processed, and leveraged to train the next generation of intelligent systems. Responsibilities: Lead research on data-centric approaches for LLMs, including pretraining corpus design, data valuation, and speculative decoding strategies. Develop pipelines to process challenging data sources into structured and reproducible training datasets. Build and optimize agentic data pipelines, integrating retrieval, self-curation, and multi-agent feedback for high-quality training and evaluation data. Collaborate with researchers on alignment and reasoning-focused training that leverage data-driven approaches for improving LLM capabilities. Prototype and deploy evaluation frameworks to measure data quality, coverage, and downstream impact on LLM reasoning. Publish findings at top-tier venues (e.g., NeurIPS, ICLR, ACL, EMNLP) and represent the institute at international conferences. Contribute to open-source tools, datasets, and benchmarks that advance the global foundation model research community. Requirements: Master's degree in Computer Science, Data Science, or a related technical field (PhD strongly preferred) Experience collecting and curating high-quality text data including multi-lingual data. Hands-on experience with large-scale dataset curation and preprocessing for ML/LLM training. Prior works synthesizing complex datasets. Code, math, and agentic data are higher priority Experience with ML infrastructure for scalable training, evaluation, and debugging. Experience at the intersection of data and post-training (RL/SFT) Proven ability to independently drive research questions related to data quality, scaling, or reasoning. Preferred Experience: Experience with retrieval-augmented generation (RAG), agentic data pipelines, or reasoning benchmarks. Contributions to speculative decoding, self-curation, or reinforcement learning from synthetic data. Background in knowledge graphs, semantic search, or indexing systems. Strong publication record in leading AI conferences. Prior contributions to open-source ML data tools or benchmarks. Prior work on speculative decoding/contributions to LLM serving engines Prior work on training LLM-as-a-judge Deep expertise with tokenization/training tokenizers Why apply: Opportunity to build out a new division at the forefront of AI innovation FAANG competitive salary & package Work alongside superstars from FAANG labs & leading AI companies Medical, Dental and Vision Insurance Relocation package available 🌎 San Francisco Bay Area, USA 📧 Interested in applying? Please click on the ‘Easy Apply' button or alternatively email me your resume at ************************

We're representing a cutting-edge AI organization building autonomous systems that can reason, plan, and interact with the physical world. This is a chance to join a small, elite research team pushing the frontier of LLM-driven autonomy. ⭐ The Opportunity You'll lead research that powers intelligent agents capable of long-horizon reasoning, structured tool-use, and real-world decision-making. This is deep ML research with immediate, tangible impact. What You'll Work On Building LLM reasoning and planning frameworks Designing structured tool-use, memory, reflection, and multi-step workflows Developing safe, robust policies for autonomous systems Training and evaluating models across real engineering and scientific tasks Collaborating with systems, simulation, and infrastructure experts What We're Looking For Strong research background in LLMs, reasoning, or agents Experience with SFT, RLHF/DPO, verifier-guided RL, or related training techniques Ability to design and evaluate long-horizon behaviors Comfort working in a fast, interdisciplinary R&D environment Why Join Build models that control real physical-world systems, NOT just simulations Massive scope for autonomy, creativity, and impact Competitive compensation + meaningful ownership

Early-stage (vertical RL) company looking to hire a Sr. Applied RS with a strong background in reinforcement learning. Qualifications: Applied Research with MS or PhD in a related field and 4 + years industry experience in deep learning and 2+ years with reinforcement learning Successful track record as a self-starter in 0->1 scenarios with a proven ability to take SOTA models into production Please note: Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of the startup investments in our portfolio. About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: ********************* We are full-time, salaried employees of Greylock who provide free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide). Please note: We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with a startup in our portfolio.

Title: AI Research Scientist Responsibilities: Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics. Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases. Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness. Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes. Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints. Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation. Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems. Contribute to academic publications and represent the company in research communities, as needed. Educational Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred. Candidates with a master's degree and exceptional research or industry experience will also be considered. Industry Experience: 3-5 years of experience in AI/ML research roles, ideally in applied or product-focused environments. Demonstrated success in delivering research-driven solutions that have been deployed in production. Experience collaborating in cross-functional teams across research, engineering, and product. Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus. Technical Skills: Strong foundational knowledge in machine learning and deep learning algorithms. Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO). Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases. Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations. Advanced programming skills in Python (preferred), C++, or Java. Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc. Strong mathematical foundations in probability, linear algebra, and calculus. Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc. Ability to translate research insights into roadmaps, technical specifications, and product improvements. AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: High-Throughput Screening Research Associate II, III (Biodesigner II, III) Responsibilities: Perform massively parallel reporter assays and high-throughput screens across diverse cellular contexts using cellular and molecular readouts. Develop and execute molecular biology workflows such as vector design and cloning, DNA/RNA extraction, RT-PCR, qPCR, and next-generation sequencing. Support cell culture activities and experiments in multiple cell lines, at small and large scales. Design and execute cell-based assays (AAV/lentiviral transduction, transfection, flow cytometry, immunostaining, and other plate reader assays). Engineer and characterize cell-based systems using synthetic biology tools and techniques. Conduct and troubleshoot experiments, independently and in collaboration with colleagues, to optimize screening throughput, sensitivity, and specificity. Proactively troubleshoot technical issues and recommend potential corrective actions based on personal observations and literature searches. Prepare summaries of data and present internally to colleagues and management. Draft SOPs, follow protocols, diligently document experimental data in lab notebooks, and organize and maintain electronic work records. Author scientific reports and data summaries. Collaborate with cross-functional teams to meet project goals, bridging early discovery with high-throughput screens to nominate and optimize candidates for further characterization. Qualifications: Bachelor's or Master's degree in Biology, Biochemistry, Chemical Engineering, Biological Engineering, or a related field. At least 2 years of industry wet lab experience. Mammalian cell culture experience (culturing, transfecting and transducing cells, and DNA/RNA purification from cells). Molecular biology expertise (vector design and cloning, qPCR, primer and probe design, DNA/RNA extraction workflows) Critical thinker with excellent communication skills who thrives in a multidisciplinary, fast-paced team environment. Strong written and verbal communication skills. Preference will be given to those who display: High throughput screening assay development in an industry setting. High motivation, with a strong work ethic and dedication to generating impact. Attention to detail, with the ability to extract deep insights from data. First-principles thinking, and an ability to refine one's intuition based on additional data. Ability to go from ideation to data in an independent fashion. Long-term personal vision with defined career goals. High EQ with team-oriented thinking. Experience with pooled, high-throughput screens using next-generation sequencing-based readouts, and/or preparing screening plasmid libraries from synthesized oligo arrays. Experience with CRISPR-Cas systems and/or gene editing and delivery technologies. Experience preparing next-generation sequencing libraries (Illumina, PacBio, and/or Nanopore platforms). If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

Title: Research Associate - Cell Image Analysis Duration: 12-18 months Part time: 20 hours weekly - flexible shift but needs to work within business hours. Hybrid - can be flexible on days that they are working in office. Job Posting Description Join an interdisciplinary team within Client CTO organization to develop cutting-edge AI image analysis software solutions. In this role, you will leverage your expertise in cell biology to: This is a part-time (50%) hybrid position based in Santa Clara, CA. Select, classify, annotate, and correct mammalian cell imaging data to support the development and improvement of AI image analysis tools. Collaborate closely with software engineers and scientists to assess tool performance and identify areas for enhancement. Assist with data transfer, organization, and tracking to ensure smooth workflow. Document and communicate findings clearly to team members through written reports and oral presentations. Preferred: B.S./B.A. in Biology, Biotechnology, Bioengineering, or equivalent. Hands-on research experience in cell biology, including mammalian cell culture. Strong communication and teamwork skills. Demonstrated attention to detail. Computer proficiency, including Microsoft Office. Solid data analysis capabilities and experience with Excel. Proficiency in optical microscopy or automated cell imaging of mammalian cells. Experience with MATLAB and basic scripting. Prior industrial research experience.

, December 8th-May 31st, 2026 Hours: Monday through Friday 8:00-5:00 PM Onsite, in Menlo Park, CA Required Skills & Experience -Bachelor's degree or relevant coursework in engineering, research, or a related field (or equivalent experience). -Strong attention to detail and organizational skills. -Basic technical aptitude and familiarity with handling electronic devices. -Experience with FedEx shipping systems or package tracking preferred. - Basic knowledge of microsoft excel - Excellent communication and teamwork abilities. Job Description Overview: Insight Global is seeking a detail-oriented Research Assistant to support the deployment of prototype equipment for upcoming remote user studies. This role is part of a dynamic team responsible for testing and preparing electronic prototype devices before they are shipped to study participants. Key Responsibilities: - Assist in testing and validating prototype electronic devices to ensure full functionality prior to shipment. -Prepare, package, and ship devices to participants involved in remote, in-home studies using FedEx as the primary shipping method. -Track shipments and ensure timely delivery and return of study equipment. -Maintain detailed records of device testing, configurations, and shipping status. -Collaborate closely with research and engineering teams to ensure accuracy, quality, and timely deployment. -Troubleshoot and document any technical issues during pre-deployment testing. -Document in excel for additional tracking purposes Why Join Us: This is an exciting opportunity to contribute to cutting-edge research by ensuring the successful deployment of innovative technology.

Hi Hope you are doing well ! This is Dipendra Gupta from Programmers.ai as we have an urgent open role below, please check and do let me know if you are comfortable with and looking for a new role or interested. Junior reliability lab Technician Mountain view CA -onsite ‘ Fulltime Job description: Develop and Execute Test Plans: Design and carry out comprehensive reliability test plans (e.g., thermal cycling, vibration, shock, humidity, burn-in, life testing) for new and existing products or equipment to simulate real-world operating conditions. Failure Analysis & Root Cause Determination: Conduct detailed failure analyses (FA) and root cause analyses (RCA) for failures identified during testing or in the field, implementing effective corrective actions and permanent solutions. Reliability Modeling & Prediction: Use statistical methods and software tools (e.g., Weibull analysis, Design of Experiments (DOE), FMEA) to predict future performance, model failure rates, and assess potential risks. Collaboration: Work closely with design, manufacturing, quality assurance, and maintenance teams to provide key input on "Design for Reliability" (DFR) and "Design for Maintainability" principles. Documentation & Reporting: Compile data, generate detailed reports, and communicate test results, findings, and recommendations to cross-functional teams and management Best Regards, Dipendra Gupta Technical Recruiter *****************************

Application Process This position is open until filled. For full consideration, please submit an application, along with a cover letter and resume. Please review the position description listed above for full scope of responsibilities and qualifications. Job Summary Reporting to the Anthropological Studies Center (ASC) Business Director, with additional lead work direction from the ASC management team, the Archaeological Research Technician gathers, compiles and analyzes archaeological research data and materials associated with archaeological surveys and excavations. Key Qualifications This position requires the equivalent to graduation from a four-year college or university, including or supplemented by a course in statistics and one year of experience in technical research or statistical work. One year of graduate study in social sciences, anthropology, archaeology or cultural and heritage resource management fields may be substituted for the required experience and additional experience which has demonstrated that the applicant has acquired and successfully applied the knowledges and abilities delineated above may be substituted for the required education on a year-for-year basis. Experience with archaeological sites and in field or lab settings, oral history or interpretive work and a bachelor's in Anthropology or closely related discipline strongly preferred. Proficiency with computers, Google Suite and Microsoft Office Suite (Word, Excel) required. Knowledge of PeopleSoft preferred. Salary and Benefits This is a part time, temporary, non-exempt position. The CSU Classification Step Range for this position is $26.51 - $38.62 per hour (step 1 - step 20). Step placement will be determined based on relevant qualifications and professional experience. Step placement upon appointment is not expected to exceed Step 1, $26.51 an hour. Reappointment to this position is dependent upon the individual's performance as well as administrative and budgetary considerations. The university reserves the right to terminate this appointment earlier than the scheduled expiration date. Supplemental Information Sonoma State University is committed to achieving excellence through teaching, scholarship, learning and inclusion. In line with our Strategic Plan and our Seawolf Commitment, our values include diversity, sustainability, community engagement, respect, responsibility, excellence and integrity. We strive to cultivate a community in which a diverse population can learn and work in an atmosphere of civility and respect. We encourage innovation, experimentation and creativity, as well as contributions to equity and inclusion, in the pursuit of excellence for all members of our university community. The University is an Affirmative Action/Equal Opportunity Employer. We consider qualified applicants for employment without regard to race, religion, color, national origin, ancestry, age, sex, gender, gender identity, gender expression, sexual orientation, genetic information, medical condition, disability, marital status, or protected veteran status. Mandated Reporting: This position may be considered a "mandated reporter" under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment. CSU Out of State Policy - Sonoma State University, as part of the CSU system, is a State of California Employer. As such, the University requires all employees upon date of hire to reside in the State of California. As of January 1, 2022 the CSU Out-of-State Employment Policy prohibits the hiring of employees to perform CSU-related work outside the state of California. A background check (including a criminal records check) must be completed satisfactorily before any candidate can be offered a position. Failure to satisfactorily complete the background check may affect the application status of applicants or continued employment of current employees who apply for this position. Sonoma State University is not a sponsoring agency for staff positions (i.e. H-1B visas). Positions are posted for a minimum of 14 calendar days. For questions related to the application process, please reach out to *************. The ADA Coordinator is also available (hraccommodations@sonoma.edu) to assist individuals with disabilities in need of accommodation during the hiring process. Sonoma State University's Annual Security Report includes summaries of institutional policy relating to campus safety, drug and alcohol use, sexual assault, and other matters. The report is published in compliance with the Clery Act and includes three years of certain crime statistics that occurred in Clery Act defined geography. A paper copy of the report may be requested in person by emailing the Clery Compliance and Safety Office at ****************. Pursuant to the Higher Education Opportunity Act, the Annual Fire Safety Report (AFSR) is available for viewing at ********************************************************************************** The purpose of this report is to disclose statistics for fires that occurred within Sonoma State University student housing facilities for three years, and to distribute fire safety policies and procedures intended to promote safety on campus. A paper copy of the AFSR is available upon request by contacting the Residential Education and Campus Housing at ******************. Advertised: Oct 14 2025 Pacific Daylight Time Applications close:

Top investment bank seeking an equity research associate to support a rising senior biotechnology analyst covering mid- and small-cap biotech companies. Responsibilities will include: Candidate should understand that the team is highly motivated to become top-ranked in the biotech industry Conducting proprietary research and evaluating drug pipelines by analyzing scientific literature, attending medical conferences, and consulting industry experts Writing research reports for initiations of coverage, deep dive data analyses, competitive landscaping, and industry/ company news Delving into intellectual property and following patent litigation concerning pharmaceuticals Building and maintaining financial models and powerpoint decks Conceiving and executing on differentiated project ideas Interfacing with company management teams, internal sales and trading personnel, and institutional investors Key Qualifications: 1-2+ years of experience in healthcare investment research required (sell side, buy side, investment banking, etc). Must be fully licensed. Science background required; MD or PhD preferred Motivated to rise in the sell-side industry in the long-term Hard-working, attention to detail, team player Sharp analytical skills in dissecting preclinical and clinical data Deep understanding of, or experience with, drug development and the FDA-approval process for pharmacologic treatments is desirable High proficiency in written/verbal communication Can type >120 words per minute Has experience writing quality sell side reports, producing powerpoints, and creating detailed financial models (e.g. functioning three-statement models, DCFs, market models, etc) Experience building financial models using excel is a plus Primary Location Full Time Salary Range of $100,000 - $120,000.

Assists with research support by executing day-to-day operations of projects, providing support for research studies, and following federal and local regulations, standard operating procedures, and Institutional Review Board (IRB) approved protocols. Contributes to the execution of research by conducting data gathering activities, reviewing data for accuracy and checking for inconsistencies in data, and independently performing tasks related to the recruitment, enrollment, consenting, follow-up with participants, and answering participant questions. Contributes to the development of research materials and procedures by assisting in the creation and/or drafting of study materials (e.g., recruitment, data collection, retention) in a variety of formats including online. Assists in the documentation and reporting of research study activities by using tools, systems, and forms for project tracking and documentation, documenting and maintaining files related to study progress, and escalating issues to project managers or investigators. Essential Responsibilities: Pursues effective relationships with others by sharing resources, information, and knowledge with coworkers and members. Listens to, addresses, and seeks performance feedback. Pursues self-development; acknowledges strengths and weaknesses based on career goals and takes appropriate development action to leverage / improve them. Adapts to and learns from change, challenges, and feedback; demonstrates flexibility in approaches to work. Assesses and responds to the needs of others to support a business outcome. Completes work assignments by applying up-to-date knowledge in subject area to meet deadlines; follows procedures and policies, and applies data and resources to support projects or initiatives with limited guidance and/or sponsorship. Collaborates with others to solve business problems; escalates issues or risks as appropriate; communicates progress and information. Supports the completion of priorities, deadlines, and expectations. Identifies and speaks up for ways to address improvement opportunities. Contributes to the execution of research studies by: conducting research surveys, focus groups, qualitative interviews, or other data gathering activities for straightforward projects or complex projects with guidance; assisting and/or leading the training of others on project support activities (e.g., data collection, administering informed consent, conducting procedures), under the guidance and supervision of more experienced team members; coding open-ended/qualitative responses and preparing data for analysis; reviewing data for accuracy and checking for inconsistencies in data; independently performing tasks related to the recruitment, enrollment, consenting, and follow-up with participants; and answering participant questions regarding basic studies, while serving as a resource to more junior personnel, and escalating issues as needed. Contributes to the development of research materials and procedures by: assisting in the creation and/or drafting of study materials (e.g., recruitment, data collection, retention) in a variety of formats including online. Assists in the documentation and reporting of research study activities by: using tools, systems, and forms for project tracking and documentation; and documenting and maintaining files related to study progress while escalating issues to project managers or investigators. Assists with research support operations by: executing day-to-day operations of projects; providing support for research studies including ordering supplies, scheduling/coordinating meetings, filing, and copying; performing literature reviews to support drafts of grant proposals; supporting drafts of Institutional Review Board (IRB) protocols, amendments, continuing reviews, and other documentation; supporting drafts of Institutional Review Board (IRB) protocols, amendments, continuing reviews, and other documentation; and following federal and local regulations, standard operating procedures, and IRB approved protocols and supporting compliance for handling research data.Qualifications Minimum Qualifications: Bachelors degree in Public Health, Health Care Administration, Epidemiology, Health Sciences, Social or Behavioral Sciences, Health Services, Statistics, or Health Economics, or related field OR Minimum three (3) years of experience in health research, public health, laboratory or social science research setting, epidemiology, social or behavioral sciences, health services or a directly related field. Additional Requirements: Knowledge, Skills, and Abilities (KSAs): Confidentiality; Health Care Compliance; Good Clinical Practices (GCP); Research & Evaluation Data Collection; Research Ethics; Stakeholder Management; Research & Evaluation Study Design

About the organization A nonprofit organization dedicated to animal welfare and the protection of animals in the Peninsula area of the San Francisco Bay Area in California that offers various services and programs focused on animal care, adoption, education, and advocacy. Responsibilities Provides humane care for all wild animals in care. Cleans and disinfects all animal areas as necessary to maintain a safe and sanitary environment. Prepares diets, feeds, and ensures water is provided as directed for all wildlife. Unloads, stores, and restocks Wildlife Care Center supplies. Helps provide enrichment for wildlife patients. Performs light maintenance and other janitorial duties. Assists in the training of new staff and volunteers. Provides assistance to other departments as assigned to ensure a positive public image, enhance the operation of the organization, and improve quality of care for animals. Performs other duties as assigned. Works effectively under pressure in a fast-paced environment. Disposes of deceased animals. Assists with animal releases as necessary. Maintains department equipment in good working order. Reports items for repair/replacement as needed to appropriate supervisory staff. Supervisory Responsibilities: Assists in training and supervising department volunteers. Brings any performance issue to managers. Qualifications: High school diploma or general education degree (GED); or six months to one-year related experience and/or training; or equivalent combination of education and Able to perform each essential duty satisfactorily. Must have a flexible schedule and the ability to work on weekends, holidays, swing shift and graveyard shift as needed. Possess the ability to manage the emotional aspect of end-of-life services and humane euthanasia, and support staff in high-emotion circumstances. Upon hire, must pass a background check. Education and/or Experience: High school diploma or general education degree (GED); or six months to one-year related experience and/or training; or equivalent combination of education and experience. Able to perform each essential duty satisfactorily.

Job DescriptionAbout the organization A nonprofit organization dedicated to animal welfare and the protection of animals in the Peninsula area of the San Francisco Bay Area in California that offers various services and programs focused on animal care, adoption, education, and advocacy. Responsibilities Provides humane care for all wild animals in care. Cleans and disinfects all animal areas as necessary to maintain a safe and sanitary environment. Prepares diets, feeds, and ensures water is provided as directed for all wildlife. Unloads, stores, and restocks Wildlife Care Center supplies. Helps provide enrichment for wildlife patients. Performs light maintenance and other janitorial duties. Assists in the training of new staff and volunteers. Provides assistance to other departments as assigned to ensure a positive public image, enhance the operation of the organization, and improve quality of care for animals. Performs other duties as assigned. Works effectively under pressure in a fast-paced environment. Disposes of deceased animals. Assists with animal releases as necessary. Maintains department equipment in good working order. Reports items for repair/replacement as needed to appropriate supervisory staff. Supervisory Responsibilities: Assists in training and supervising department volunteers. Brings any performance issue to managers. Qualifications: High school diploma or general education degree (GED); or six months to one-year related experience and/or training; or equivalent combination of education and Able to perform each essential duty satisfactorily. Must have a flexible schedule and the ability to work on weekends, holidays, swing shift and graveyard shift as needed. Possess the ability to manage the emotional aspect of end-of-life services and humane euthanasia, and support staff in high-emotion circumstances. Upon hire, must pass a background check. Education and/or Experience: High school diploma or general education degree (GED); or six months to one-year related experience and/or training; or equivalent combination of education and experience. Able to perform each essential duty satisfactorily. Powered by JazzHR vb Uvt69KhZ

⚡ Research Scientist - Data focus 💊 Foundation Models, AI Research Institute 🌎 San Francisco Bay Area, USA 💸 $200,000 - $350,000 salary + bonus Come join a revolutionary AI research lab in SF Bay Area that is poised to develop & publish high-impact breakthroughs in GenAI - across LLMs and Multimodal AI. As part of the team, you'll work at the intersection of data, large-scale training, and foundation model innovation. You will collaborate with world-class researchers, data scientists, and engineers to solve critical challenges in creating robust, scalable, and reasoning-capable LLMs. Your research will shape the way data is curated, processed, and leveraged to train the next generation of intelligent systems. Responsibilities: Lead research on data-centric approaches for LLMs, including pretraining corpus design, data valuation, and speculative decoding strategies. Develop pipelines to process challenging data sources into structured and reproducible training datasets. Build and optimize agentic data pipelines, integrating retrieval, self-curation, and multi-agent feedback for high-quality training and evaluation data. Collaborate with researchers on alignment and reasoning-focused training that leverage data-driven approaches for improving LLM capabilities. Prototype and deploy evaluation frameworks to measure data quality, coverage, and downstream impact on LLM reasoning. Publish findings at top-tier venues (e.g., NeurIPS, ICLR, ACL, EMNLP) and represent the institute at international conferences. Contribute to open-source tools, datasets, and benchmarks that advance the global foundation model research community. Requirements: Master's degree in Computer Science, Data Science, or a related technical field (PhD strongly preferred) Experience collecting and curating high-quality text data including multi-lingual data. Hands-on experience with large-scale dataset curation and preprocessing for ML/LLM training. Prior works synthesizing complex datasets. Code, math, and agentic data are higher priority Experience with ML infrastructure for scalable training, evaluation, and debugging. Experience at the intersection of data and post-training (RL/SFT) Proven ability to independently drive research questions related to data quality, scaling, or reasoning. Preferred Experience: Experience with retrieval-augmented generation (RAG), agentic data pipelines, or reasoning benchmarks. Contributions to speculative decoding, self-curation, or reinforcement learning from synthetic data. Background in knowledge graphs, semantic search, or indexing systems. Strong publication record in leading AI conferences. Prior contributions to open-source ML data tools or benchmarks. Prior work on speculative decoding/contributions to LLM serving engines Prior work on training LLM-as-a-judge Deep expertise with tokenization/training tokenizers Why apply: Opportunity to build out a new division at the forefront of AI innovation FAANG competitive salary & package Work alongside superstars from FAANG labs & leading AI companies Medical, Dental and Vision Insurance Relocation package available 🌎 San Francisco Bay Area, USA 📧 Interested in applying? Please click on the ‘Easy Apply' button or alternatively email me your resume at ************************

Series A company looking to hire a Sr. Applied RS with a good background in multi-agent reinforcement learning. The related challenge is figuring out how to use feedback from an objective function on (consumer) pricing to reinforce a multi-agent enterprise system (many components). Qualifications: Applied Research with MS or PhD in a technical field and 4 + years relevant industry experience Successful track record as a self-starter in 0->1 scenarios with a proven ability to take SOTA models into production Please note: Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of the startup investments in our portfolio. About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: ********************* We are full-time, salaried employees of Greylock who provide free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide).

We're representing a cutting-edge AI organization building autonomous systems that can reason, plan, and interact with the physical world. This is a chance to join a small, elite research team pushing the frontier of LLM-driven autonomy. ⭐ The Opportunity You'll lead research that powers intelligent agents capable of long-horizon reasoning, structured tool-use, and real-world decision-making. This is deep ML research with immediate, tangible impact. What You'll Work On Building LLM reasoning and planning frameworks Designing structured tool-use, memory, reflection, and multi-step workflows Developing safe, robust policies for autonomous systems Training and evaluating models across real engineering and scientific tasks Collaborating with systems, simulation, and infrastructure experts What We're Looking For Strong research background in LLMs, reasoning, or agents Experience with SFT, RLHF/DPO, verifier-guided RL, or related training techniques Ability to design and evaluate long-horizon behaviors Comfort working in a fast, interdisciplinary R&D environment Why Join Build models that control real physical-world systems, NOT just simulations Massive scope for autonomy, creativity, and impact Competitive compensation + meaningful ownership

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: High-Throughput Screening Research Associate II, III (Biodesigner II, III) Responsibilities: Perform massively parallel reporter assays and high-throughput screens across diverse cellular contexts using cellular and molecular readouts. Develop and execute molecular biology workflows such as vector design and cloning, DNA/RNA extraction, RT-PCR, qPCR, and next-generation sequencing. Support cell culture activities and experiments in multiple cell lines, at small and large scales. Design and execute cell-based assays (AAV/lentiviral transduction, transfection, flow cytometry, immunostaining, and other plate reader assays). Engineer and characterize cell-based systems using synthetic biology tools and techniques. Conduct and troubleshoot experiments, independently and in collaboration with colleagues, to optimize screening throughput, sensitivity, and specificity. Proactively troubleshoot technical issues and recommend potential corrective actions based on personal observations and literature searches. Prepare summaries of data and present internally to colleagues and management. Draft SOPs, follow protocols, diligently document experimental data in lab notebooks, and organize and maintain electronic work records. Author scientific reports and data summaries. Collaborate with cross-functional teams to meet project goals, bridging early discovery with high-throughput screens to nominate and optimize candidates for further characterization. Qualifications: Bachelor's or Master's degree in Biology, Biochemistry, Chemical Engineering, Biological Engineering, or a related field. At least 2 years of industry wet lab experience. Mammalian cell culture experience (culturing, transfecting and transducing cells, and DNA/RNA purification from cells). Molecular biology expertise (vector design and cloning, qPCR, primer and probe design, DNA/RNA extraction workflows) Critical thinker with excellent communication skills who thrives in a multidisciplinary, fast-paced team environment. Strong written and verbal communication skills. Preference will be given to those who display: High throughput screening assay development in an industry setting. High motivation, with a strong work ethic and dedication to generating impact. Attention to detail, with the ability to extract deep insights from data. First-principles thinking, and an ability to refine one's intuition based on additional data. Ability to go from ideation to data in an independent fashion. Long-term personal vision with defined career goals. High EQ with team-oriented thinking. Experience with pooled, high-throughput screens using next-generation sequencing-based readouts, and/or preparing screening plasmid libraries from synthesized oligo arrays. Experience with CRISPR-Cas systems and/or gene editing and delivery technologies. Experience preparing next-generation sequencing libraries (Illumina, PacBio, and/or Nanopore platforms). If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

⚡ Research Scientist - Data focus 💊 Foundation Models, AI Research Institute 🌎 San Francisco Bay Area, USA 💸 $200,000 - $350,000 salary + bonus Come join a revolutionary AI research lab in SF Bay Area that is poised to develop & publish high-impact breakthroughs in GenAI - across LLMs and Multimodal AI. As part of the team, you'll work at the intersection of data, large-scale training, and foundation model innovation. You will collaborate with world-class researchers, data scientists, and engineers to solve critical challenges in creating robust, scalable, and reasoning-capable LLMs. Your research will shape the way data is curated, processed, and leveraged to train the next generation of intelligent systems. Responsibilities: Lead research on data-centric approaches for LLMs, including pretraining corpus design, data valuation, and speculative decoding strategies. Develop pipelines to process challenging data sources into structured and reproducible training datasets. Build and optimize agentic data pipelines, integrating retrieval, self-curation, and multi-agent feedback for high-quality training and evaluation data. Collaborate with researchers on alignment and reasoning-focused training that leverage data-driven approaches for improving LLM capabilities. Prototype and deploy evaluation frameworks to measure data quality, coverage, and downstream impact on LLM reasoning. Publish findings at top-tier venues (e.g., NeurIPS, ICLR, ACL, EMNLP) and represent the institute at international conferences. Contribute to open-source tools, datasets, and benchmarks that advance the global foundation model research community. Requirements: Master's degree in Computer Science, Data Science, or a related technical field (PhD strongly preferred) Experience collecting and curating high-quality text data including multi-lingual data. Hands-on experience with large-scale dataset curation and preprocessing for ML/LLM training. Prior works synthesizing complex datasets. Code, math, and agentic data are higher priority Experience with ML infrastructure for scalable training, evaluation, and debugging. Experience at the intersection of data and post-training (RL/SFT) Proven ability to independently drive research questions related to data quality, scaling, or reasoning. Preferred Experience: Experience with retrieval-augmented generation (RAG), agentic data pipelines, or reasoning benchmarks. Contributions to speculative decoding, self-curation, or reinforcement learning from synthetic data. Background in knowledge graphs, semantic search, or indexing systems. Strong publication record in leading AI conferences. Prior contributions to open-source ML data tools or benchmarks. Prior work on speculative decoding/contributions to LLM serving engines Prior work on training LLM-as-a-judge Deep expertise with tokenization/training tokenizers Why apply: Opportunity to build out a new division at the forefront of AI innovation FAANG competitive salary & package Work alongside superstars from FAANG labs & leading AI companies Medical, Dental and Vision Insurance Relocation package available 🌎 San Francisco Bay Area, USA 📧 Interested in applying? Please click on the ‘Easy Apply' button or alternatively email me your resume at ************************

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: High-Throughput Screening Research Associate II, III (Biodesigner II, III) Responsibilities: Perform massively parallel reporter assays and high-throughput screens across diverse cellular contexts using cellular and molecular readouts. Develop and execute molecular biology workflows such as vector design and cloning, DNA/RNA extraction, RT-PCR, qPCR, and next-generation sequencing. Support cell culture activities and experiments in multiple cell lines, at small and large scales. Design and execute cell-based assays (AAV/lentiviral transduction, transfection, flow cytometry, immunostaining, and other plate reader assays). Engineer and characterize cell-based systems using synthetic biology tools and techniques. Conduct and troubleshoot experiments, independently and in collaboration with colleagues, to optimize screening throughput, sensitivity, and specificity. Proactively troubleshoot technical issues and recommend potential corrective actions based on personal observations and literature searches. Prepare summaries of data and present internally to colleagues and management. Draft SOPs, follow protocols, diligently document experimental data in lab notebooks, and organize and maintain electronic work records. Author scientific reports and data summaries. Collaborate with cross-functional teams to meet project goals, bridging early discovery with high-throughput screens to nominate and optimize candidates for further characterization. Qualifications: Bachelor's or Master's degree in Biology, Biochemistry, Chemical Engineering, Biological Engineering, or a related field. At least 2 years of industry wet lab experience. Mammalian cell culture experience (culturing, transfecting and transducing cells, and DNA/RNA purification from cells). Molecular biology expertise (vector design and cloning, qPCR, primer and probe design, DNA/RNA extraction workflows) Critical thinker with excellent communication skills who thrives in a multidisciplinary, fast-paced team environment. Strong written and verbal communication skills. Preference will be given to those who display: High throughput screening assay development in an industry setting. High motivation, with a strong work ethic and dedication to generating impact. Attention to detail, with the ability to extract deep insights from data. First-principles thinking, and an ability to refine one's intuition based on additional data. Ability to go from ideation to data in an independent fashion. Long-term personal vision with defined career goals. High EQ with team-oriented thinking. Experience with pooled, high-throughput screens using next-generation sequencing-based readouts, and/or preparing screening plasmid libraries from synthesized oligo arrays. Experience with CRISPR-Cas systems and/or gene editing and delivery technologies. Experience preparing next-generation sequencing libraries (Illumina, PacBio, and/or Nanopore platforms). If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.