Postdoctoral scholar jobs in Madera, CA

Join a Leading Applied Research Lab Pushing the Boundaries of Reinforcement Learning Are you passionate about advancing the frontiers of reinforcement learning (RL)? An innovative AI research lab is seeking talented and ambitious scientists to shape the next generation of RL techniques-especially where they intersect with large models and environment generation. About the Role As an AI Research Scientist focused on RL, you will: Develop novel optimization-based methods for automated RL environment generation Establish baselines for evaluating the quality and diversity of RL environments Design infrastructure to create dynamic environments from historical datasets and agent evaluations Drive your own research agenda, contributing directly to the progress of our platform and the broader AI community What We're Looking For PhD (or equivalent experience) in machine learning, computer science or a related field Strong publication record and/or evidence of research impact (open source, deployed systems, etc.) Deep expertise in reinforcement learning and machine learning fundamentals Proficient in Python and at least one modern ML framework (such as PyTorch or JAX) Bonus Points Experience with post-training large language models (LLMs) Demonstrated software engineering skills Ability to communicate research findings effectively to both technical and non-technical audiences

AI/ML Scientist - Build the Future of Physics AI- $250,000 to $275,000 Salary You will be part researcher, part builder, part pioneer, someone who thrives at the intersection of machine learning and physics based simulation. The platform is built on massively scalable, cloud native simulation technology that makes it possible to run thousands of high fidelity simulations quickly and easily. This foundation unlocks something big, enabling the generation of large scale datasets that power the next generation of ML models across industries. You will be on the front lines of building and productizing new machine learning approaches for physics based problems, from CFD to thermal simulation. Your work will not just live in a paper, it will deliver measurable value to customers, shape new product capabilities, and push the boundaries of what is possible in Physics AI. You know that rush when your work goes from experiment to production, when the models perform, the results hold up, and you can see the impact firsthand? That is what this role is about. Ready to shape the future of Physics AI? Let's talk. No up to date resume required.

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

⚡ 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 ************************

Veteran-Owned Firm Seeking DSP Communications Research Scientist with TS/SSBI/SCI for a Role in Monterey, CA My name is Stephen Hrutka. I lead a Veteran-Owned management consulting firm in Washington, DC. We specialize in Technical and Cleared Recruiting for the Department of Defense (DoD), the Intelligence Community (IC), and other advanced defense agencies. At HRUCKUS, we support fellow Veteran-Owned businesses by helping them recruit for positions across organizations such as the VA, SBA, HHS, DARPA, and other leading-edge R&D-focused defense agencies. We seek to fill a DSP Communications Research Scientist role in Monterey, CA. The ideal candidate should possess a TS/SSBI/SCI clearance, hold an M.S. in a relevant field (Ph.D. preferred), and have at least 2 years of professional experience, with 5 years being highly desirable. If you're interested, I'll gladly provide more details about the role and discuss your qualifications further. Thanks, Stephen M Hrutka Principal Consultant HRUCKUS LLC Executive Summary: HRUCKUS seeks a DSP Communications Research Scientist with TS/SSBI/SCI for a role in Monterey, CA. Position Description: We seek a highly qualified research engineer/scientist to solve challenging technical problems in signal processing that are critical to national security. Our client has a national reputation for delivering uniquely capable solutions to very challenging problems and a long track record of consistent innovation and success against the most difficult issues faced by their customers. These problems typically involve processing of signals in very stressful RF conditions, including low signal-to-noise ratio, high levels of interference, and non-stationary environments. Position Duties: Research, design, and implement advanced signal processing algorithms in software for various RF applications. Work as an individual principal investigator or part of a small team of engineers. Perform RF signal and data analysis, reverse engineering, simulation, and modeling. Implement new algorithms in C/C++ and Python. Support transition of algorithms to real-time, high-performance production computing environments. Communicate effectively, verbally and in writing, on complex technical subjects to customers, end-users, and partners at varying levels appropriate to each audience. Translate customer objectives to technical requirements, manage performance and schedule expectations, and communicate project status and technical performance evaluations. Required Expertise and Experience: An outstanding background in signal processing, digital communications, detection and estimation theory, remote sensing, radar signal processing, adaptive antenna array processing, or navigation/geolocation. Demonstrated programming skills and experience in scientific programming are required. The ideal candidate has experience implementing signal processing algorithms in C/C++ and Python. The successful applicant will have extensive expertise and experience in one or more of the following fields: Signal processing Digital communications Detection and estimation theory Remote sensing Radar signal processing Adaptive antenna array processing Navigation/geolocation Desired Qualifications: Some experience with Linux and open-source tool chains is desirable. Experience with software-defined radio (SDR), baseband architecture, RF architecture, and/or wireless propagation and modeling is desirable. Experience with modern communications protocols, including LTE, WCDMA, GSM, 802.11, or 802.16, is desirable. Knowledge of numerical linear algebra is a plus. Good customer communication and presentation skills (written and verbal) are essential. Required Education and Experience: An M.S. in a related field is required, and a Ph.D. is desirable. U.S. Citizenship is required with an in-scope Top Secret/SSBI. A minimum of two years of work experience is required; five or more years is desirable. Details: Job Title: DSP Communications Research Scientist. Locations: Monterey, CA. FULL RELOCATION PAID. Security Clearance Requirement: TS/SSBI/SCI. Assignment Type: Full-time. Salary Range: $126,000 to $174,000 per year.

Stage: Seed Team Size: < 10 We're looking for an Applied RS who can run the gamut of ML from infra to modeling and own the entire ML pipeline--taking advanced models into production. Our ideal candidate will be looking to build a co-pilot product from the ground up: helping to drive everything from key architectural decisions, applying SOTA methods, and shipping advanced production models in close collaboration with the founders. In key role, you will have real product ownership and the chance to influence not just what gets built, but how it gets built in a true 0->1 scenario. If you have 5+ years of experience in Machine Learning (infra and modeling) with 1+ years post-training LLM's and are thinking about starting your own company someday, this could be a great entry-way for you. Not only would you get real-world experience with something so early, but you'd get a chance to make a name for yourself with our investment team as well (making it much easier to get a chance to pitch us on your own idea in the future). About Greylock Greylock is a 1st-tier, early-stage venture capital firm that partners with exceptional founders at the seed and Series A stages. Our mission is to help realize rare potential - backing category-defining companies such as Figma, Anthropic, Ramp, Abnormal Security, Rubrik, Airbnb, LinkedIn, Roblox, Dropbox, and Coinbase. About the Greylock Recruiting Team As full-time, salaried employees of Greylock, our team provides free candidate referrals and introductions to our active portfolio companies. Combined, we bring over 125 years of in-house recruiting experience across startups and large-scale tech companies

Senior LLM Research Scientist 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

Senior LLM Research Scientist 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

Job Description: Prof. Karmel S. Shehadeh, Gabilan Assistant Professor of Industrial & Systems Engineering is seeing to hire a Postdoctoral Scholar to work on fundamental or applied research in Prof. Shehadeh's research group, with the possibility of conducting multidisciplinary research with faculty colleagues within and outside USC. The group's mission is to push the boundaries of the theory and applications of stochastic and (distributionally) robust optimization (SRO) and foster interdisciplinary research collaborations to address emerging real-world problems in various application domains, including healthcare, facility location, and transportation. Primary Responsibilities: The Postdoctoral Researcher is expected to specifically contribute one or both of the following research areas: (i) develop the next generation data-driven stochastic and distributionally robust optimization methodologies or (ii) develop advanced fairness promoting stochastic optimization frameworks. In coordination with Prof. Shehadeh, the Researcher will lead the research team in writing manuscripts, disseminating findings at scientific meetings, preparing grant applications, and supporting the supervision of doctoral students. Additional Information: This is a hybrid position. The Postdoctoral Scholar - Research Associate will be expected to work onsite at least 2 days per week. This position is not eligible for fully remote work. The annual base salary range for this position is $69,850. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope of responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations. Fixed-Term Employment: Postdoctoral Scholar - Research Associate is a 1-year fixed-term position, scheduled to end 12 months from hire date. Employees hired under a fixed-term agreement acknowledge that the university may change the expected end date at any time by providing a one (1) month written notification. Your employment may also end for other reasons consistent with university policy. According to university policy, no severance benefits are paid to employees hired under a fixed term agreement. When you leave, your final paycheck will include pay for days worked, and for accrued and unused vacation. The university does not pay for accrued and unused sick days upon termination. Preferred Qualifications • Qualified candidates should have or be close to completing a doctorate degree in industrial engineering, operations research, statistics, or machine learning and have a strong research record. • Qualified candidates should have prior research and publications in optimization under uncertainty methodologies and their applications. Preferences will be given to candidates with experience in one of the following areas: (1) stochastic and distributionally robust optimization and their applications, or (2) fairness in optimization and/or ML. • Strong writing and verbal communication skills are required Required Applicant Documents A cover letter, curriculum vitae, research statement (at most 3 pages), and list of at least 3 references. Please feel free to upload your application materials in a single document. USC and the Viterbi School The University of Southern California (USC), founded in 1880, is in the heart of downtown L.A. and is the largest private employer in the City of Los Angeles. As an employee of USC, you will be a part of a world-class research university and a member of the “Trojan Family,” which is comprised of the faculty, students, and staff that make the university what it is. Founded in 1905, the USC Viterbi School of Engineering is named for Andrew Viterbi who developed an algorithm to connect the world's citizens. Similarly, the school, located in Los Angeles, a global center for arts, technology and international business in the heart of the Pacific Rim, is a hub for entrepreneurship that connects students from 64 countries. USC Viterbi is a pioneer in restoring sight to the blind; restoring memory to sufferers of Alzheimer's; and socially assistive robots to aid seniors with stroke or children with autism. It is the home of the first operational quantum computing center in academia. Our alumni include Neil Armstrong, first human on the moon; A.C. Mike Markkula, co-founder of Apple; and Wanda Austin, former CEO of the Aerospace Corporation. The USC Viterbi School is consistently ranked among the top graduate programs (U.S. News and World Report). Under the leadership of Dean Yannis C. Yortsos, the school helped re-imagine the 21st century engineer, pioneering the Grand Challenge Scholars Program in schools across the globe. Our mission is to serve California, the nation and the world. At USC Viterbi, we call this the enabling power of Engineering+. . USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying. We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at **************, or by email at *************. Inquiries will be treated as confidential to the extent permitted by law. Notice of Non-discrimination Employment Equity Read USC's Clery Act Annual Security Report USC is a smoke-free environment Digital Accessibility If you are a current USC employee, please apply to this USC job posting in Workday by copying and pasting this link into your browser: *************************************************************

Job DescriptionSalary: for SPRING 2026. Our company has provided university internships for credit in the past. Student will need to provide management with all necessary enrollment forms for credit. Job responsibilities include, but are not limited to: Crop measurements and assessments Sample collection Sample shipment Trial applications, including calibration of equipment and application parameters Irrigating Fertilizing Operating various farm equipment Job requirements: Valid drivers license Proof of eligibility to work in the US (Social Security or a permanent resident card) Vehicle or reliable transportation to and from work Ability to lift 50 lbs Physically able to perform regular farm activities Clean driving record (i.e. no DUIs or serious speeding tickets) Preferred skills: Experience with a variety of crops Farm experience (comfortable with driving a tractor and operating various implements) 40 hours/week. $14+/hr (dependent on experience). Overtime and weekends are possible. This is a full-time summer position, but qualified candidates may be able to start sooner with good weekday availability during the semester. The job can continue into the fall, dependent on company needs and student availability. This is primarily an outdoor position. Applicant should be comfortable working outside in summer temperatures. The employer will provide water, Gatorade, and shade.

Join a Leading Applied Research Lab Pushing the Boundaries of Reinforcement Learning Are you passionate about advancing the frontiers of reinforcement learning (RL)? An innovative AI research lab is seeking talented and ambitious scientists to shape the next generation of RL techniques-especially where they intersect with large models and environment generation. About the Role As an AI Research Scientist focused on RL, you will: Develop novel optimization-based methods for automated RL environment generation Establish baselines for evaluating the quality and diversity of RL environments Design infrastructure to create dynamic environments from historical datasets and agent evaluations Drive your own research agenda, contributing directly to the progress of our platform and the broader AI community What We're Looking For PhD (or equivalent experience) in machine learning, computer science or a related field Strong publication record and/or evidence of research impact (open source, deployed systems, etc.) Deep expertise in reinforcement learning and machine learning fundamentals Proficient in Python and at least one modern ML framework (such as PyTorch or JAX) Bonus Points Experience with post-training large language models (LLMs) Demonstrated software engineering skills Ability to communicate research findings effectively to both technical and non-technical audiences

SUPERCOMPUTING AI LAB W/ MULTIMODAL GENERAL AGENT AI STARTUP - SERIES A $1.2B VALUATION Goliath Partners has exclusively teamed up with an early stage startup AI Lab in SF currently valued at over $1B just after announcing their Series A. The firm has fundamental research bets on next-gen model architectures for long term memory and continual learning. Have lots of GPUs and are planning to get to frontier soon on the model side. Funding wise, their Series A was led by none other than Jann Tallinn. Jann has only led two other Series A's in the past - DeepMind and Anthropic! The team includes ex-DeepMind, Nvidia, Anthropic and Twitter professionals, and they are operating at the cutting edge of the AI space. They're hiring an ML Research Engineer to: Design and implement autonomous agents that can code, reason, and self-verify across real software environments Build full-stack infrastructure for prompt routing, task planning, retrieval, and sandboxed execution Apply post-training techniques (SFT, DPO, RLHF) and build eval benchmarks for multi-step reasoning and coding tasks Total Comp: $300-325k from a base perspective. Equity will also be involved at anywhere from .1% - 1% (equaling $1-10M in equity). If this sounds interesting, I'd love to share more. Please apply with an updated copy of your resume and Goliath will get in touch!

⚡ 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 ************************

Stage: Seed Team Size: < 10 We're looking for an Applied RS who can run the gamut of ML from infra to modeling and own the entire ML pipeline--taking advanced models into production. Our ideal candidate will be looking to build a co-pilot product from the ground up: helping to drive everything from key architectural decisions, applying SOTA methods, and shipping advanced production models in close collaboration with the founders. In key role, you will have real product ownership and the chance to influence not just what gets built, but how it gets built in a true 0->1 scenario. If you have 5+ years of experience in Machine Learning (infra and modeling) with 1+ years post-training LLM's and are thinking about starting your own company someday, this could be a great entry-way for you. Not only would you get real-world experience with something so early, but you'd get a chance to make a name for yourself with our investment team as well (making it much easier to get a chance to pitch us on your own idea in the future). About Greylock Greylock is a 1st-tier, early-stage venture capital firm that partners with exceptional founders at the seed and Series A stages. Our mission is to help realize rare potential - backing category-defining companies such as Figma, Anthropic, Ramp, Abnormal Security, Rubrik, Airbnb, LinkedIn, Roblox, Dropbox, and Coinbase. About the Greylock Recruiting Team As full-time, salaried employees of Greylock, our team provides free candidate referrals and introductions to our active portfolio companies. Combined, we bring over 125 years of in-house recruiting experience across startups and large-scale tech companies

The University of Southern California, one of the nation's top universities, invites applications for a full- time, post-doctoral research associate in the Civil and Environmental Engineering department within the USC Viterbi School of Engineering. Candidates will conduct research focused on testing of construction materials and structures. The ideal candidate will have an extensive background in experimental methods in construction materials and structural engineering. Examples include testing of 3D printed structures, FRP strengthened structures, fresh concrete and hardened concrete, and fiber-reinforced concretes, among others. The candidate should hold a doctoral degree in civil engineering or related fields. Publications in respected journals and a good understanding of testing standards and design guidelines/standards are preferred qualifications. Although not being required, a professional engineering license will be beneficial. The candidates are expected to heavily support the operation of Structures and Materials Research Laboratory as a ISO/IEC 17025:2017 accredited testing laboratory providing testing services to the industry. The responsibilities include operating test equipment, performing equipment and sensor calibration, proficiency testing, inventory management, record keeping, coordinating meetings, and preparing for and participating in laboratory audits by the accreditation agency. Applications should include a cover letter and curriculum vitae, a one-page research statement and the names of three references. Applicants are encouraged to include a succinct statement on fostering an environment of diversity and inclusion. The USC Viterbi School of Engineering is committed to increasing the diversity of its faculty and welcomes applications from women, underrepresented groups, veterans, and individuals with disabilities. Applications will be considered starting immediately until the positions are filled. The annual base salary range for this position is $62,400- $67,080. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.” USC is an equal opportunity, affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC will consider for employment all qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring ordinance. Required Documents: Resume/CV, cover letter, research statement (1-page), names of three references. . USC is a smoke-free environment USC is an equal opportunity, affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC will con sider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying. We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at **************, or by email at *************. Inquiries will be treated as confidential to the extent permitted by law. Read USC's Clery Act Annual Security Report Affirmative Action and Equal Opportunity Plan Pay Transparency Non-Discrimination USC is an E-Verify Employer Digital Accessibility If you are a current USC employee, please apply to this USC job posting in Workday by copying and pasting this link into your browser: *************************************************************

Join a Leading Applied Research Lab Pushing the Boundaries of Reinforcement Learning Are you passionate about advancing the frontiers of reinforcement learning (RL)? An innovative AI research lab is seeking talented and ambitious scientists to shape the next generation of RL techniques-especially where they intersect with large models and environment generation. About the Role As an AI Research Scientist focused on RL, you will: Develop novel optimization-based methods for automated RL environment generation Establish baselines for evaluating the quality and diversity of RL environments Design infrastructure to create dynamic environments from historical datasets and agent evaluations Drive your own research agenda, contributing directly to the progress of our platform and the broader AI community What We're Looking For PhD (or equivalent experience) in machine learning, computer science or a related field Strong publication record and/or evidence of research impact (open source, deployed systems, etc.) Deep expertise in reinforcement learning and machine learning fundamentals Proficient in Python and at least one modern ML framework (such as PyTorch or JAX) Bonus Points Experience with post-training large language models (LLMs) Demonstrated software engineering skills Ability to communicate research findings effectively to both technical and non-technical audiences

SUPERCOMPUTING AI LAB W/ MULTIMODAL GENERAL AGENT AI STARTUP - SERIES A $1.2B VALUATION Goliath Partners has exclusively teamed up with an early stage startup AI Lab in SF currently valued at over $1B just after announcing their Series A. The firm has fundamental research bets on next-gen model architectures for long term memory and continual learning. Have lots of GPUs and are planning to get to frontier soon on the model side. Funding wise, their Series A was led by none other than Jann Tallinn. Jann has only led two other Series A's in the past - DeepMind and Anthropic! The team includes ex-DeepMind, Nvidia, Anthropic and Twitter professionals, and they are operating at the cutting edge of the AI space. They're hiring an ML Research Engineer to: Design and implement autonomous agents that can code, reason, and self-verify across real software environments Build full-stack infrastructure for prompt routing, task planning, retrieval, and sandboxed execution Apply post-training techniques (SFT, DPO, RLHF) and build eval benchmarks for multi-step reasoning and coding tasks Total Comp: $300-325k from a base perspective. Equity will also be involved at anywhere from .1% - 1% (equaling $1-10M in equity). If this sounds interesting, I'd love to share more. Please apply with an updated copy of your resume and Goliath will get in touch!

⚡ 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 ************************

Stage: Seed Team Size: < 10 We're looking for an Applied RS who can run the gamut of ML from infra to modeling and own the entire ML pipeline--taking advanced models into production. Our ideal candidate will be looking to build a co-pilot product from the ground up: helping to drive everything from key architectural decisions, applying SOTA methods, and shipping advanced production models in close collaboration with the founders. In key role, you will have real product ownership and the chance to influence not just what gets built, but how it gets built in a true 0->1 scenario. If you have 5+ years of experience in Machine Learning (infra and modeling) with 1+ years post-training LLM's and are thinking about starting your own company someday, this could be a great entry-way for you. Not only would you get real-world experience with something so early, but you'd get a chance to make a name for yourself with our investment team as well (making it much easier to get a chance to pitch us on your own idea in the future). About Greylock Greylock is a 1st-tier, early-stage venture capital firm that partners with exceptional founders at the seed and Series A stages. Our mission is to help realize rare potential - backing category-defining companies such as Figma, Anthropic, Ramp, Abnormal Security, Rubrik, Airbnb, LinkedIn, Roblox, Dropbox, and Coinbase. About the Greylock Recruiting Team As full-time, salaried employees of Greylock, our team provides free candidate referrals and introductions to our active portfolio companies. Combined, we bring over 125 years of in-house recruiting experience across startups and large-scale tech companies