Research Internship Jobs in Los Gatos, CA

Under supervision, incumbent provides assistance to UCANR academics in the delivery of educational and outreach activities related to nutrient and irrigation management. The position will also have responsibilities for educational trainings of clientele. The incumbent is expected to assist ANR staff and collaborating growers in set up of experiments, laboratory work, data collection and management, and basic data analysis for outreach and research projects. Incumbent maintains and organizes electronic archive of all projects; learns and applies standard operating procedures (SOPs) diligently; assists academic staff with the development of data sets for their research and outreach projects; and learns how to use sensors and equipment, data loggers and related equipment necessary for data collection. They will also assist academic staff with the logistics involved in organizing meetings. Incumbent will be assigned the management responsibility of irrigation and nutrient management projects, which includes ordering supplies and equipment, maintaining Safety Data Sheets (SDS), record keeping, and ensuring proper operation and maintenance of the laboratory equipment. In addition, incumbent will manage data collection by other research support staff, field staff and volunteers. This position is a career appointment that is 100% fixed, with grant funding available through December 31, 2025 and the possibility of future funding. Pay Scale: $28.88/hour to $36.61/hour Job Posting Close Date: This job is open until filled. The first application review date will be 11/22/2024. Key Responsibilities: 75% Work with growers to implement irrigation and nutrient management practices to improve water and nitrogen use efficiency. Assist in the delivery of educational programs related to nutrient and irrigation management. Assist with establishment of field, greenhouse, and laboratory trials. Prepare equipment and supplies necessary for field work and data collection. Collect soil, plant, water, and other types of samples, and set up equipment and data loggers for automating data collection. Coordinate with office and farm staff the logistics necessary for data collection. Learn new procedures for sampling, processing samples and operating electronic equipment related to data collection. Install and maintain equipment in laboratory and fields. Coordinate activities with other lab and field research assistants 20% Compile and manage data using Excel or appropriate software. Conduct basic data analysis necessary to quantify data integrity. Provide oral and written reports on a regular basis on data collection and results. Keep academic staff and other project collaborators informed of data collection status, pertinent results and issues affecting research projects. Assist in development of reports as required by funding agencies and outreach purposes 5% Management responsibility of outreach projects with growers Order supplies and equipment Maintain Safety Data Sheets and ensure proper operation and maintenance of the field and laboratory equipment. Maintain accurate and timely records. Requirements: Excellent organizational skills to collect data and manage multiple tasks to ensure successful completion and maintain integrity of data. Ability to pay attention to details and produce accurate results. Excellent verbal and written communication and interpersonal skills to understand research project requirements, articulate assignments to research support staff, communicate with cooperators, staff, volunteers, and visitors, and disseminate information. Ability to analyze, evaluate and synthesize information of both applied and theoretical nature in field, laboratory, and office environments. Excellent computer skills for using Word, PowerPoint, and Outlook. Knowledge and experience in Excel spreadsheet formulas and grafting for data analysis. General knowledge of biological and natural sciences, including soils, entomology, and plant physiology and pathology. Working knowledge of basic agricultural research methods. Working knowledge of irrigation and nutrient management systems Demonstrated experience in conducting field and lab experiments. Knowledge of data collection and data management. Lab experience in soil and plant analysis. Preferred Qualifications: Bachelor's degree in irrigation, plant sciences, soil science or the equivalent education and experience. Bilingual skills in English and Spanish: The ability to read, write, translate, and effectively communicate technical agricultural information in a language that is relevant to growers and farmworkers in the region. Experience and understanding of basic field and laboratory safety, including handling pesticides, hazardous waste disposal, and storage of corrosives and flammables. Experience in processing and analyzing data in SigmaPlot, SAS or other statistical software. Previous experience in a lead role. Special Conditions of Employment: Overtime and ability to work a flexible work schedule including early mornings, evenings, and weekends and holidays as needed to meet project needs. Travel, including travel outside of normal business hours may be requested. Must possess valid California Driver's License to drive a County or University vehicle. Ability and means to travel on a flexible schedule as needed, proof of liability damage insurance on vehicle used is required. Reimbursement of job-related travel will be reimbursed according to University policies. The University reserves the right to make employment contingent upon successful completion of the background check. This is a designated position requiring a background check and may require fingerprinting due to the nature of the job responsibilities. UC ANR does hire people with conviction histories and reviews information received in the context of the job responsibilities. As of January 1, 2014, ANR is a smoke- and tobacco-free environment in which smoking, the use of smokeless tobacco products, and the use of unregulated nicotine products (e-cigarettes), is strictly prohibited. To apply, please visit: https://careerspub.universityofcalifornia.edu/psc/ucanr/EMPLOYEE/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?Page=HRS_APP_JBPST_FL&JobOpeningId=73889&PostingSeq=1&SiteId=17&language Cd=ENG&FOCUS=Applicant Copyright ©2025 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-2102236d11d98647a916b512184f0d97

We are currently working with a Biotech Unicorn! Who are working on evolutionary technology at the interface of biology, engineering and chemistry to discover novel treatments for life-threatening diseases. They are looking for a Principal Research Engineer with AI/ML experience in Biology to join them on a full-time basis. Apply immediately to discuss the role further.

Research Engineer Intern, Evaluations & Benchmarks TensorStax is building fully autonomous AI systems to manage and optimize mission-critical data infrastructure. Our research integrates reinforcement learning and language models to enhance reasoning over large-scale data lakes and warehouses, detect failures in pipelines, and autonomously construct and optimize data workflows with high precision. We are looking for a Research Engineer Intern to design evaluation frameworks and benchmarks that assess the autonomy, adaptability, and reliability of AI agents in data engineering environments. This role is ideal for candidates passionate about AI evaluations, language model benchmarking, and autonomous data systems. What You'll Do: Develop evaluation environments to test AI agents' ability to reason, plan, and act autonomously within mission-critical data pipelines. Design benchmarks to assess model capabilities in failure detection, pipeline optimization, and agentic decision-making in data workflows. Implement automated assessment frameworks for language model-based agents operating over data lakes and warehouses. Work with synthetic and real-world datasets to create robust testing environments for AI-driven data automation. Collaborate with research engineers to refine reward shaping strategies, guiding models toward more efficient and agentic behaviors in data-intensive tasks. What We're Looking For: Experience in language model research, with a focus on benchmarking LLMs in mission-critical domains. Strong background in AI evaluation methodologies, reinforcement learning, and RLHF techniques. Familiarity with benchmarking language models for structured and unstructured data tasks. Proficiency in Python and experience with ML frameworks like PyTorch or JAX. Hands-on experience with data lakes, warehouses, and data engineering tools (Snowflake, BigQuery, dbt, Spark, Kafka). High agency-proactive, resourceful, and comfortable working in a fast-paced research environment with minimal supervision. Attention to detail-ability to design rigorous, reproducible experiments and evaluations. Bonus Points: Contributions to open-source AI benchmarks (e.g., SweBench, BIRD, SPIDER). Contributions to open-source agentic frameworks. Experience developing custom RL environments for AI evaluation. Strong understanding of ETL, ELT, and data transformation pipelines. Benefits: Competitive internship stipend. 100% employer-covered health, dental, and vision insurance (for eligible interns). Access to Bay Club or Equinox in San Francisco. Opportunity to work at the cutting edge of AI evaluations and autonomous data engineering research.

Machine Learning Research Intern - Summer/Fall 2025 ⚠️ SEE BELOW FOR ALL APPLICATION REQUIREMENTS Ensemble is offering a research internship for juniors, seniors, and grad students who want real-world experience contributing to open-source ML tooling and authorship-creditable research. This internship is unpaid. 🚀 Accepted applicants will have their submitted projects shared and amplified on social media by our team, network, and investors (including Salesforce Ventures, M13, and others). Additionally, ALL applicants will receive feedback on their application project following the submission deadline. Ensemble is a seed-stage ML infrastructure startup focused on practical, open-source advancements in model size, multimodal capability, and inference efficiency. Our flagship project, NdLinear, helps shrink and accelerate neural networks with minimal or no loss in accuracy via a direct replacement of the linear layer (paper 🔗 ******************************** ) Your role will include: Assisting senior ML engineers with experiments and benchmarks Running and documenting research case studies using NdLinear Testing new features and contributing to product feedback cycles Supporting paper writing and public releases where applicable 🚨For you application to be considered, you must complete all of the following: ⭐️ Star NdLinear on GitHub : ***************************************** 📊 Create a small project using NdLinear on an open-source dataset: This can be a benchmark comparison (e.g., try replac ing nn.Linear layers in a model w ith NdLinear to see decreased parameter count and increased performance), or a more creative use case you care about. This is the most important part of the application, thus reasonable detail/rigor will be both noticed and appreciated. 📩 Send the following to internship@ensemblecore .ai by the deadline, May 1st 2025 8am Pacific time Your GitHub handle / a link to your profile Your resume Your NdLinear project (as a Colab notebook or public GitHub repo) ⚠️ Incomplete applications will automatically be rejected. We're looking for curiosity, clarity, and initiative-not specific credentials. If accepted, you'll gain authorship opportunities, experience in cutting-edge ML research, and a chance to work with a sharp, mission-driven team.

Simular creates personalized AI agents that can use computers like a human, which means -- in the future, you don't need to work in front of a computer any more, computers will work for you. We also open source our research to push the scientific boundary of autonomous agents. Our latest research, Agent S2, is currently the state of the art in computer use and android smartphone use agent benchmarks. Role Description This is a full-time on-site role for a Research Intern, located in Palo Alto, CA. The Research Intern will be responsible for identifying the bottlenecks of our agents, proposing new scientific ideas to push forward the frontiers of artificial general intelligence and validating your ideas via experimentation. You should also expect to write a paper if you achieve significant scientific breakthroughts! Qualifications Fearless Hardcore Passionate about solving problems that you can't find solutions in Google, ChatGPT, or research papers.

Biotechnology company seeking to hire a a creative, enthusiastic, and highly motivated cell culture and molecular biologist to join the cell line development group. The candidate will work on host cell line development using the company's industry-leading targeted integration technology, with the aim of improving recombinant Adeno-Associated Virus (rAAV) manufacturing for gene therapy applications. Expertise in cell culture, process development, and molecular biology techniques are needed. This is an ideal position for a researcher who is enthusiastic about research, innovation, and drug development experience in gene therapy. As such, the position requires excellent communication and problem-solving skills, the desire to continuously learn about the gene therapy and drug development process, and a passion for helping patients through advancement in gene therapy technologies. The successful applicant will work independently under minimal supervision to design and execute multiple experiments in parallel. This is a 12-month onsite position in South San Francisco, California. Qualifications PhD degree with 0+ years of industry experience, or a Master's/Bachelor's degree with 3+ years of industry experience in molecular biology, cell biology, biochemistry, virology, biotechnology, bioengineering, chemical engineering or other related disciplines. Relevant mammalian cell culture experience in HEK293 cells. Relevant molecular biology experience (molecular cloning, western blotting, qPCR, dd PCR, etc). Stable cell line generation experience. Relevant rAAV production experience. Relevant rAAV purification experience. Relevant rAAV characterization experience. Salary $61,963-$139,380 Why Choose R&D Partners? As an employee, you have access to a comprehensive benefits package including: Medical insurance - PPO, HMO & HSA Dental & Vision insurance 401k plan Employee Assistance Program Long-term disability Weekly payroll Expense reimbursement Online timecard approval R&D Partners is a global functional service provider and strategic staffing resource specializing in scientific, clinical research & engineering. We provide job opportunities within major pharmaceutical, biopharmaceutical, biotechnology, and medical device companies. R&D Partners is an equal-opportunity employer.

The in vivo Antibody Discovery group is a specialized team within the Protein Therapeutics function that is responsible for the discovery and optimization of biological drug candidates. We are seeking a highly motivated contingent worker to join this team, with grade level corresponding to Research Associate to Associate Scientist. The successful candidate will contribute to antibody discovery efforts as part of a cross-functional team specializing in the discovery and screening of biologic modalities in support of all therapeutic areas. Job Responsibilities In this laboratory-based role, the successful candidate will support efforts to generate Client antibody-based therapeutics. Ideally, the applicant has a strong foundation in molecular biology, PCR, in vitro mRNA production, and molecular cloning. Drive antibody discovery by antibody sequencing/cloning, reformatting, and initial characterization. Design and optimize DNA constructs for in vitro mRNA immunogen production. Independently design, analyze and interpret experiments for the discovery and characterization of the isolated antibodies and alternate binder formats. Collaborate with Research Data Sciences and Discovery Sciences & Technology colleagues to support NGS-based antibody discovery and functional characterization. Present scientific results in multiple settings and attend project team meetings. Deliver scientific results for publications, patents, and regulatory submissions. Skills/Qualifications Required B.S. in biological sciences, preferably with minimum 2 years of relevant professional experience or M.S. with minimum 1 years of experience and a proven track record in molecular biology and preferably antibody discovery. An ideal candidate will have experience in most of the following areas Strong expertise in molecular biology (PCR, reverse transcription, cloning) is required. Experience with mRNA immunogen production is a plus. Experience in single-cell FACS sorting is desired. Working knowledge in other single-cell technologies a plus. Mammalian cell culture and transient protein expression experience is a plus. Job ID - 25-37151 About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ************************ US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

At the Company, we have been pioneering advancements in POC coagulation disorder management since 2008. As part of the CSI R&D team, the incumbent will conduct laboratory experiments aimed at reagent development, improvements to existing products and participate in the development of new assay platforms used in POC diagnostics. Work assignments will be carried out under the guidance of an Assay Scientist and/or senior technical staff. ESSENTIAL DUTIES AND RESPONSIBILITIES · Work in the lab, execute experimental studies, and perform basic troubleshooting. · Prepare formulations, test standards and stock solutions. May work with biological specimens. · Record and document assay development work in scientific notebooks for reference purposes. · Analyze and present data at group meetings. · Contribute to lab management activities. · Ensure all research and development studies adhere to company and ISO13485/FDA guidelines. · Generate reports pertaining to assay development progress as needed. · Communicate regularly with team members regarding project progress. · Follow all safety requirements and procedures for the site. QUALIFICATIONS · Proficient in Microsoft Office - MS Word, Excel, and PowerPoint. · Excellent organization, time management, record-keeping, and interpersonal skills are essential. · Detail-oriented with strong analytical and problem-solving skills. · Strong work ethics and self-starter. EDUCATION and/or EXPERIENCE · Applicants should minimally hold a B.S. in a life science discipline with 1-3 years of industry experience, or M.S. with 0-2 years, preferably in medical device and in-vitro diagnostics.

W2 Contract Salary Range: $79,000 - $89,400 per year Duties and Responsibilities: Plan, conduct, analyze, and report in vivo studies (efficacy, PK/PD). Carry out pre-clinical model development and characterization. Conduct standard vivarium operations. Operate and maintain laboratory equipment and perform accurate and timely record-keeping and data analysis. Learn and conduct other in vivo-related techniques. Interface with cross-functional project team members and participate in and present at project and cross-departmental team meetings. Formulate and administer drugs and experimental compounds by various routes. Requirements and Qualifications: BS or MS in Biology or Pharmacology related discipline (3 - 5 years experience) Proficiency with various mouse handling techniques, including dosing (IV, PO, subcutaneous, IP), tumor inoculation/measurements, in-life and terminal blood collection, survival surgeries, and handling of tissues during necropsy and processing for ex vivo analysis Computer literacy, especially proficiency in GraphPad Prism, Excel, PowerPoint, and Word Excellent organizational and communication skills, along with the ability to work effectively in a multidisciplinary team environment The ability to work independently on day-to-day responsibilities and research goals Preferred Qualifications: Experience with in vivo imaging and Studylog Research experience with mouse models of cancer and/or cancer immunotherapy Desired Skills and Experience In Vivo, Oncology, mouse handling, in vivo imaging, cancer immunotherapy, GraphPad Prism, Excel, PowerPoint, Word, Studylog Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate. Bayside Solutions, Inc. may collect your personal information during the position application process. Please reference Bayside Solutions, Inc.'s CCPA Privacy Policy at *************************

Juvena Therapeutics is seeking a highly motivated Vivarium Research Technician to join our dynamic research team in Redwood City, CA. This role will contribute to the growth of our research portfolio by supporting vivarium operations to advance the development of novel rejuvenating therapies. This position is ideal for a talented, highly motivated and results driven individual who will thrive in a fast-paced, innovative, start-up environment. The individual will report to Senior Scientist/Director in vivo Pharmacology. Major Responsibilities Support in vivo studies by performing rodent handling, dosing (PO, IV, IP, SC, RO, IM), interim and terminal blood collections, perfusion, anesthesia, necropsy and tissue collection. Perform tests such as grip strength, and/or other functional tests based on research needs. Collect and analyze data from these tests to support ongoing studies Perform routine animal husbandry such as cage changing, feeding, health observations, animal receipt, and basic health treatments. Comply with study protocols, vivarium policies and IACUC guidelines. Maintain accurate records for animal health reports, cage cards, etc. Maintain the highest standards of animal welfare. Position Requirements and Experience BA with 1-3+ years of relevant experience in a laboratory animal facility Must be able to work weekends Hands-on experience in handling, dosing, blood sampling, and tissue harvest in mice Must have a general understanding of animal welfare regulations and of the importance of ethical use of animals in research Strong attention to detail and ability to work independently with minimal guidance This position is ideal for a talented, highly motivated and results driven individual who will thrive in a fast-paced, innovative, start-up environment Preferred Qualifications Experience in industry set up AALAS certification is preferred Compensation and Benefits Competitive salary, annual bonus and stock options Health/Dental/Vision insurance Paid vacation and holidays Partial 401K matching Pay Range: $60,000 - $80,000 yearly

Fortvita is seeking a highly motivated and skilled research associate to join the effort of developing novel therapeutics for autoimmune and inflammatory diseases. A successful candidate is expected to participate in establishment of a variety of immunological in vitro and ex vivo experiments in support of target validation and drug discovery programs. KEY RESPONSIBILITIES As part of a multifunctional team, you will perform and analyze in vitro and ex vivo experiments to validate therapeutic targets and hypotheses. Conduct experiments with immune cell culture and functional assays to support pipeline molecule screen. Data analysis and lab note documentation. Work independently and collaboratively with team members, cross-functional collaborators and CRO both on-site and externally. Assist Lab head in presentation preparation, literature analysis, etc. Participate in routine lab and equipment maintenance. QUALIFICATIONS Required Qualifications M.S. in cell biology, immunology, molecular biology, or B.S. with >=2 years of related hands-on research experience (immunology preferred). Experience with in-vitro cellular assays and technics such as human primary cell culture, immune cell assays (e.g.: T and myeloid cell-based assays), reporter assays etc. Experience using multi-color flow cytometry. Experience using data analysis software such as FlowJo, GraphPad Prism, etc. Other Skills Agility. Can learn quickly and work efficiently in a fast-paced environment and under tight timeline to ensure high quality delivery. Excellent interpersonal and communication skills. Good organizational skills, and be capable of multitasking. PHYSICAL REQUIREMENTS Possible lifting up to 20 lbs., Potential standing for long periods. WORKING CONDITIONS Both Laboratory and office setting required. Authorized to work in the United States. Fortvita is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Additional Legal Disclaimers At-Will Employment: Employment with Fortvita is at-will. This means that either the employee or the employer can terminate the employment relationship at any time, with or without cause or notice. Reasonable Accommodations: Fortvita is committed to providing equal employment opportunities to qualified individuals with disabilities. If you require reasonable accommodation during the application process, please contact Fortvita Human Resources.

We're looking for a highly motivated Senior Research Associate to join our DMPK team and play a key role in early drug discovery. In this role, you'll perform in vitro metabolism studies, metabolite identification, and bioanalysis using LC-MS/MS to help evaluate new drug candidates. What You'll Do: Run in vitro metabolism and metabolite ID assays. Develop and operate LC-MS/MS methods for analyzing biological samples. Interpret and present ADME/PK data to project teams. Maintain lab equipment and accurate experimental records. Contribute to scientific reports and key project decisions. What We're Looking For: You have a BS in Biological Sciences, Chemistry, or related field with 5+ years of lab experience, or an MS with 2+ years. You're experienced with LC-MS/MS (Sciex a plus), metabolic stability, CYP inhibition, and sample prep. You're detail-oriented, proactive, and enjoy solving problems independently. You communicate clearly and thrive in a collaborative, fast-paced environment. Ready to make an impact? Apply now and help bring new drug candidates from the lab to the clinic. First round interviews start next week - Apply today!

Strong preference for Bay Area candidates that can work hybrid in the San Francisco office at least 3 days a week; however, remote candidates will be considered. Meet the Team Foundation AI's mission is to secure AI transformation. The Foundation AI team joined Cisco through the Robust Intelligence acquisition in fall 2024 to lead research and development of security and AI at Cisco. The team has deep expertise in AI and security and is an active contributor to cutting edge research and standards on AI and security. At Cisco, our mission is to build AI Security at Cisco scale as well as lead the next generation of AI infrastructure for disruptive security products across Cisco. About Robust Intelligence Robust Intelligence pioneered the category of AI Security and built the first platform for securing AI applications from supply chain, model vulnerabilities, and real time attacks. Funded by Sequoia and Tiger Global, Robust Intelligence customers include the world's largest banking and financial institutions, HR and payroll services, FinTech and financial software, technology and consumer electronics, insurance, consulting, travel, data centers and cloud infrastructure, cybersecurity as well as government agencies. The company was acquired by Cisco in 2024. Your Impact Join Cisco's Foundation AI team and be at the forefront of AI and Security innovation. Here, you will solve ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. As an AI Researcher, you will have the chance to create ground breaking models and algorithms around AI for security. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of generative AI techniques and their deployment in production environments. You will collaborate with a talented team of researchers, engineers, and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world. As an AI researcher, you will Track and analyze emerging AI systems, focusing on applications and environments related to security and safety. Develop a platform for AI data training, fine tuning, evaluation and other AI related needs. Work on foundational models with built in security principles. Author blog posts, white papers, or research papers related to emerging threats in AI security. Collaborate with cross-functional teams of researchers and engineers to translate research ideas into product features. You'll also have the opportunity to contribute to our overall machine learning culture as an early member of the team. Minimum Qualifications: A PhD in computer science or related fields or Master's with 2 years of related industry experience or Bachelor's with 4 years of related industry experience. Work or academic experience in AI, machine learning, and deep learning technologies Work or academic experience in generic programming languages such as Python or Golang. Experience in ML concepts like bias and variance, supervised & unsupervised learning, Generative AI Fluency in reading academic papers on AI/ML and security and translating to prototype systems. Preferred Qualifications: Experience with AI/ML security risks such as data poisoning, privacy attacks, adversarial inputs, jailbreaks, etc. Experience developing proof-of-concept exploits for new or theoretical attacks. Comfortable with fast iterative style development in an environment that requires autonomous thinking, risk taking and bias for action. Ability to use the latest GenAI technologies and creative prompting. Comfortable with traditional ML frameworks like PyTorch, TensorFlow, FastAI etc. Excellent written and verbal communication skills, strong analytical and problem-solving skills. #WeAreCisco #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!

We are currently working with a Biotech Unicorn! Who are working on evolutionary technology at the interface of biology, engineering and chemistry to discover novel treatments for life-threatening diseases. They are looking for a Principal Research Engineer with AI/ML experience in Biology to join them on a full-time basis. Apply immediately to discuss the role further.

Research Engineer Intern, Evaluations & Benchmarks TensorStax is building fully autonomous AI systems to manage and optimize mission-critical data infrastructure. Our research integrates reinforcement learning and language models to enhance reasoning over large-scale data lakes and warehouses, detect failures in pipelines, and autonomously construct and optimize data workflows with high precision. We are looking for a Research Engineer Intern to design evaluation frameworks and benchmarks that assess the autonomy, adaptability, and reliability of AI agents in data engineering environments. This role is ideal for candidates passionate about AI evaluations, language model benchmarking, and autonomous data systems. What You'll Do: Develop evaluation environments to test AI agents' ability to reason, plan, and act autonomously within mission-critical data pipelines. Design benchmarks to assess model capabilities in failure detection, pipeline optimization, and agentic decision-making in data workflows. Implement automated assessment frameworks for language model-based agents operating over data lakes and warehouses. Work with synthetic and real-world datasets to create robust testing environments for AI-driven data automation. Collaborate with research engineers to refine reward shaping strategies, guiding models toward more efficient and agentic behaviors in data-intensive tasks. What We're Looking For: Experience in language model research, with a focus on benchmarking LLMs in mission-critical domains. Strong background in AI evaluation methodologies, reinforcement learning, and RLHF techniques. Familiarity with benchmarking language models for structured and unstructured data tasks. Proficiency in Python and experience with ML frameworks like PyTorch or JAX. Hands-on experience with data lakes, warehouses, and data engineering tools (Snowflake, BigQuery, dbt, Spark, Kafka). High agency-proactive, resourceful, and comfortable working in a fast-paced research environment with minimal supervision. Attention to detail-ability to design rigorous, reproducible experiments and evaluations. Bonus Points: Contributions to open-source AI benchmarks (e.g., SweBench, BIRD, SPIDER). Contributions to open-source agentic frameworks. Experience developing custom RL environments for AI evaluation. Strong understanding of ETL, ELT, and data transformation pipelines. Benefits: Competitive internship stipend. 100% employer-covered health, dental, and vision insurance (for eligible interns). Access to Bay Club or Equinox in San Francisco. Opportunity to work at the cutting edge of AI evaluations and autonomous data engineering research.

Machine Learning Research Intern - Summer/Fall 2025 ⚠️ SEE BELOW FOR ALL APPLICATION REQUIREMENTS Ensemble is offering a research internship for juniors, seniors, and grad students who want real-world experience contributing to open-source ML tooling and authorship-creditable research. This internship is unpaid. 🚀 Accepted applicants will have their submitted projects shared and amplified on social media by our team, network, and investors (including Salesforce Ventures, M13, and others). Additionally, ALL applicants will receive feedback on their application project following the submission deadline. Ensemble is a seed-stage ML infrastructure startup focused on practical, open-source advancements in model size, multimodal capability, and inference efficiency. Our flagship project, NdLinear, helps shrink and accelerate neural networks with minimal or no loss in accuracy via a direct replacement of the linear layer (paper 🔗 ******************************** ) Your role will include: Assisting senior ML engineers with experiments and benchmarks Running and documenting research case studies using NdLinear Testing new features and contributing to product feedback cycles Supporting paper writing and public releases where applicable 🚨For you application to be considered, you must complete all of the following: ⭐️ Star NdLinear on GitHub : ***************************************** 📊 Create a small project using NdLinear on an open-source dataset: This can be a benchmark comparison (e.g., try replac ing nn.Linear layers in a model w ith NdLinear to see decreased parameter count and increased performance), or a more creative use case you care about. This is the most important part of the application, thus reasonable detail/rigor will be both noticed and appreciated. 📩 Send the following to internship@ensemblecore .ai by the deadline, May 1st 2025 8am Pacific time Your GitHub handle / a link to your profile Your resume Your NdLinear project (as a Colab notebook or public GitHub repo) ⚠️ Incomplete applications will automatically be rejected. We're looking for curiosity, clarity, and initiative-not specific credentials. If accepted, you'll gain authorship opportunities, experience in cutting-edge ML research, and a chance to work with a sharp, mission-driven team.

At the Company, we have been pioneering advancements in POC coagulation disorder management since 2008. As part of the CSI R&D team, the incumbent will conduct laboratory experiments aimed at reagent development, improvements to existing products and participate in the development of new assay platforms used in POC diagnostics. Work assignments will be carried out under the guidance of an Assay Scientist and/or senior technical staff. ESSENTIAL DUTIES AND RESPONSIBILITIES · Work in the lab, execute experimental studies, and perform basic troubleshooting. · Prepare formulations, test standards and stock solutions. May work with biological specimens. · Record and document assay development work in scientific notebooks for reference purposes. · Analyze and present data at group meetings. · Contribute to lab management activities. · Ensure all research and development studies adhere to company and ISO13485/FDA guidelines. · Generate reports pertaining to assay development progress as needed. · Communicate regularly with team members regarding project progress. · Follow all safety requirements and procedures for the site. QUALIFICATIONS · Proficient in Microsoft Office - MS Word, Excel, and PowerPoint. · Excellent organization, time management, record-keeping, and interpersonal skills are essential. · Detail-oriented with strong analytical and problem-solving skills. · Strong work ethics and self-starter. EDUCATION and/or EXPERIENCE · Applicants should minimally hold a B.S. in a life science discipline with 1-3 years of industry experience, or M.S. with 0-2 years, preferably in medical device and in-vitro diagnostics. COMMUNICATION SKILLS · Excellent communication skills (verbal, written and presentation style), along with strong teamwork are essential. REASONING ABILITY Ability to recognize problems, recommend and implement solutions. A logical and organized thought pattern is required. PHYSICAL DEMANDS · Laboratory work: this position involves sitting, standing and/or walking. Position requires daily laboratory work performing pipetting, reagent handling and use of standard laboratory equipment and protocols. · The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. WORK ENVIRONMENT · The individual must work well in a rapidly paced and safe environment. The position requires the candidate to be flexible and juggle many projects at a time.

W2 Contract Salary Range: $79,000 - $89,400 per year Duties and Responsibilities: Plan, conduct, analyze, and report in vivo studies (efficacy, PK/PD). Carry out pre-clinical model development and characterization. Conduct standard vivarium operations. Operate and maintain laboratory equipment and perform accurate and timely record-keeping and data analysis. Learn and conduct other in vivo-related techniques. Interface with cross-functional project team members and participate in and present at project and cross-departmental team meetings. Formulate and administer drugs and experimental compounds by various routes. Requirements and Qualifications: BS or MS in Biology or Pharmacology related discipline (3 - 5 years experience) Proficiency with various mouse handling techniques, including dosing (IV, PO, subcutaneous, IP), tumor inoculation/measurements, in-life and terminal blood collection, survival surgeries, and handling of tissues during necropsy and processing for ex vivo analysis Computer literacy, especially proficiency in GraphPad Prism, Excel, PowerPoint, and Word Excellent organizational and communication skills, along with the ability to work effectively in a multidisciplinary team environment The ability to work independently on day-to-day responsibilities and research goals Preferred Qualifications: Experience with in vivo imaging and Studylog Research experience with mouse models of cancer and/or cancer immunotherapy Desired Skills and Experience In Vivo, Oncology, mouse handling, in vivo imaging, cancer immunotherapy, GraphPad Prism, Excel, PowerPoint, Word, Studylog Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate. Bayside Solutions, Inc. may collect your personal information during the position application process. Please reference Bayside Solutions, Inc.'s CCPA Privacy Policy at *************************

Research Engineer Intern, Evaluations & Benchmarks TensorStax is building fully autonomous AI systems to manage and optimize mission-critical data infrastructure. Our research integrates reinforcement learning and language models to enhance reasoning over large-scale data lakes and warehouses, detect failures in pipelines, and autonomously construct and optimize data workflows with high precision. We are looking for a Research Engineer Intern to design evaluation frameworks and benchmarks that assess the autonomy, adaptability, and reliability of AI agents in data engineering environments. This role is ideal for candidates passionate about AI evaluations, language model benchmarking, and autonomous data systems. What You'll Do: Develop evaluation environments to test AI agents' ability to reason, plan, and act autonomously within mission-critical data pipelines. Design benchmarks to assess model capabilities in failure detection, pipeline optimization, and agentic decision-making in data workflows. Implement automated assessment frameworks for language model-based agents operating over data lakes and warehouses. Work with synthetic and real-world datasets to create robust testing environments for AI-driven data automation. Collaborate with research engineers to refine reward shaping strategies, guiding models toward more efficient and agentic behaviors in data-intensive tasks. What We're Looking For: Experience in language model research, with a focus on benchmarking LLMs in mission-critical domains. Strong background in AI evaluation methodologies, reinforcement learning, and RLHF techniques. Familiarity with benchmarking language models for structured and unstructured data tasks. Proficiency in Python and experience with ML frameworks like PyTorch or JAX. Hands-on experience with data lakes, warehouses, and data engineering tools (Snowflake, BigQuery, dbt, Spark, Kafka). High agency-proactive, resourceful, and comfortable working in a fast-paced research environment with minimal supervision. Attention to detail-ability to design rigorous, reproducible experiments and evaluations. Bonus Points: Contributions to open-source AI benchmarks (e.g., SweBench, BIRD, SPIDER). Contributions to open-source agentic frameworks. Experience developing custom RL environments for AI evaluation. Strong understanding of ETL, ELT, and data transformation pipelines. Benefits: Competitive internship stipend. 100% employer-covered health, dental, and vision insurance (for eligible interns). Access to Bay Club or Equinox in San Francisco. Opportunity to work at the cutting edge of AI evaluations and autonomous data engineering research.