A leading tech company in San Francisco is looking for a Research Scientist to develop cutting-edge machine learning systems and knowledge graphs. Your role will involve building information extraction pipelines, designing temporal architectures, and exploring novel research in NLP. Ideal candidates have over 5 years of experience and a strong publication record. The position offers a base salary of $150,000 to $300,000 and comprehensive benefits including health coverage and generous wellness stipends.
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$150k-300k yearly 4d ago
Research Scientist, Ultrasound Imaging
Nudge Real Estate
Research associate job in San Francisco, CA
About Nudge
Nudge's goal is to help the brain work better by creating a generalized product that can precisely stimulate and image the brain, entirely non-invasively. We aim to achieve this by developing cutting-edge ultrasound technology to treat neurological and psychiatric disorders, like addiction, and eventually, creating a mainstream consumer device that can modulate mood, focus, sleep, and more.
To realize those ambitions, we're growing a scrappy, multidisciplinary, science and engineering team focused on making the best technology possible for interfacing with the whole brain, and a product that has the potential to improve people's daily lives more than any other.
About the team
The Research Team at Nudge is innovating on multiple frontiers in neuroscience and neurotechnology, and is primarily focused on developing ultrasound-based neuromodulation to treat conditions like depression, chronic pain and addiction as well as enhance the wellbeing of healthy people. We're also building the first scalable, portable hardware for noninvasive structural ultrasound-based imaging the quality of an MRI. The team is running human trials for neuromodulation and developing algorithms that will enable on-device imaging.
About the role
Work closely with the Head of Research and engineering team to build the capabilities for on-device ultrasound-based imaging.
Develop algorithms for structural and functional ultrasound-based imaging
Perform validation of in-silico ultrasound imaging methods with Nudge hardware in physical models and in vivo
Contribute to the development of aberration correction techniques informed by ultrasound-based imaging
About you
5+ years experience
PhD or Postdoc in Bioengineering, Medical Imaging, Physics or equivalent
Expertise in ultrasound physics and metrology
Demonstrated history of exceptional contributions in your prior work experiences
Expertise in one or more of:
Full-waveform inversion imaging
Functional transcranial doppler imaging
Functional ultrasound imaging
Machine learning experience a plus
Compensation
$140,000 - $230,000/year + equity
Your salary may vary depending on multiple factors such as job-related knowledge, skills, and experience.
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$140k-230k yearly 4d ago
Fund & Co-Investment Research Associate
Allocate Holdings Inc.
Research associate job in Palo Alto, CA
Fund & Co-Investment ResearchAssociate About Allocate
Allocate is transforming private market investing by enabling wealth advisory firms to seamlessly build and manage high-quality private market programs.
About the Role
We're seeking a Fund & Co-Investment ResearchAssociate to join our Private Investments team. This isn't a traditional allocator role, as you'll be a critical connector between world-class fund managers, wealth advisory CIOs, and help build and manage our technology platform.
You'll evaluate venture capital and private equity opportunities, conduct manager diligence, and spend significant time with wealth advisor investment teams discussing curated deals. You need to deeply understand opportunities, answer sophisticated questions, and provide clear, accurate analysis that helps clients make confident investment decisions.
Equally important, you'll own the completeness and accuracy of our platform content, ensuring all investment materials, copy, and compliance documentation stay current.
Key Responsibilities
Investment Research & Diligence: Conduct quantitative and qualitative research on private market managers and co-investment opportunities across venture capital, private equity, and adjacent asset classes. Prepare balanced investment analysis and recommendations.
Client Engagement: Spend substantial time with wealth advisor CIOs and their investment teams discussing curated opportunities. Field detailed questions, articulate investment theses, and provide real-time analysis that demonstrates deep command of each deal.
GP Relationship Development: Build and maintain relationships with fund managers, including structuring conversations, access discussions, and ongoing partnership development.
Platform Completeness: Own platform content integrity-ensure investment materials are updated, copy is accurate and compliant, and all client-facing documentation metour quality standards.
Sourcing & Pipeline Development: Proactively source differentiated fund and co-investment opportunities through targeted outreach, industry relationships, and market intelligence.
Cross-Functional Collaboration: Partner with product, technology, and operations teams to refine platform capabilities and enhance the client investment experience.
Portfolio Monitoring: Support post-investment updates, quarterly reporting, and ongoing portfolio analytics for client transparency.
Market Intelligence: Develop insights and content that position Allocate as a leading voice in private markets.
Qualifications Experience & Knowledge:
3+ years of experience in venture capital, private equity, wealth management, investment banking, or related fields.
Deep industry knowledge of the VC/PE ecosystem, fund structures, and how institutional platforms operate.
Strong understanding of private markets and alternative investments.
Skills & Attributes:
Hustler mentality: Proactive, resourceful, and self-directed-you don't wait to be told what to do.
Exceptional communication: You can explain complex investment concepts clearly and handle sophisticated Q&A with institutional allocators.
Highly personable: You build authentic relationships with both GPs and wealth advisory teams.
Commercial mindset: You think about client needs, platform scalability, and growth.
Startup DNA: You thrive in fast-paced environments, embrace ambiguity, and move quickly.
Meticulous attention to detail: You ensure accuracy and compliance across all materials.
Analytical excellence: You combine quantitative rigor with qualitative judgment.
Not a Fit If You're:
A pure allocator looking for a traditional fund-of-funds seat.
More comfortable with analysis only role than relationship-building and client engagement.
Seeking a slow-paced, process-heavy environment.
Unfamiliar with how technology platforms operate.
Why Allocate?
Shape the infrastructure layer for an entire industry.
Ability to immediately work with top VCs and PE firms, along with CIOs in the wealth advisory world.
Allocate is one of the fastest-growing platforms in private markets.
Palo Alto office in the heart of the venture ecosystem.
High impact, high visibility work with real ownership and autonomy.
Additional Information
Location: Palo Alto, CA. Must be able to work in-office 4 days a week.
Compensation: $160K-$200K base + bonus + stock equity.
Benefits: Medical, dental, vision, 401(k), responsible time off.
Employment: Full-time.
Compliance: This role is subject to Allocate's Code of Ethics and all related compliance obligations.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Must have legal authorization to work in the U.S. now and in the future without visa sponsorship.
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$49k-80k yearly est. 2d ago
ML Research Scientist - Quantum Accelerated Generative Models
Sygaldry Technologies
Research associate job in San Francisco, CA
About Sygaldry
Sygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference for AI. By integrating quantum and AI, we're accelerating the path to superintelligence, and engineering the conditions for it to scale efficiently and operate affordably. Sygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture to deliver the combination of cost, scale, and speed necessary for advanced AI applications. We pioneer new domains in physics, engineering, and AI, tackling the hardest challenges with a grounded, optimistic, and rigorous culture. We're looking for individuals ready to define the intersection of quantum and AI and drive its profound global impact.
About the Role
Generative AI is transforming what's computationally possible-but it's also exposing the limits of classical hardware. Diffusion models produce extraordinary results, yet their iterative sampling and high-dimensional score estimation create computational bottlenecks that scale poorly.
We believe quantum computing offers a path through these bottlenecks. As an ML Research Scientist, you'll work at the frontier of generative modeling and quantum acceleration, developing the theoretical foundations and practical implementations that connect these fields. You'll identify where quantum approaches can provide genuine advantage in generative workflows-not incremental improvements, but structural speedups rooted in the mathematics of these models.
What You'll Work On
Generative Model Architecture & Efficiency
Advance state-of-the-art diffusion and score-based generative models
Analyze computational bottlenecks in sampling, denoising, and likelihood estimation
Develop and benchmark novel solver methods for diffusion ODEs/SDEs
Quantum-Classical Integration
Identify mathematical structures in generative models amenable to quantum speedup
Prototype hybrid workflows where quantum subroutines accelerate classical pipelines
Rigorously benchmark theoretical versus practical advantage in realistic workloads
Research to Production
Translate research insights into scalable implementations
Collaborate with quantum hardware teams to inform architecture requirements
Build systems that make quantum-accelerated generation accessible to practitioners
You May Be a Good Fit If You
Have deep expertise in diffusion probabilistic models, score matching, or related generative methods
Understand the mathematical foundations: SDEs, ODEs, Langevin dynamics, probability flow
Are experienced with ML frameworks (PyTorch, JAX) and efficient inference implementation
Question assumptions and validate with rigor, following interesting threads wherever they lead
Communicate complex ideas clearly across research communities
Are excited to work on problems no one has solved before
Strong Candidates May Have
Published research on diffusion models, score-based generation, or neural ODE/SDE methods
Experience optimizing sampling efficiency (DDIM, DPM-Solver, consistency models, etc.)
Familiarity with numerical methods for differential equations
Understanding of quantum algorithms and computational complexity
Background in high-dimensional probability or stochastic processes
Why This Matters
Your work accelerates the path to quantum superintelligence. Each quantum component integrated, each AI model enhanced, each instruction set optimized brings us closer to a future where intelligence and quantum mechanics are inextricably intertwined. We're not building incremental improvements - we're creating exponential transformations that will make AI more affordable, sustainable, personalized, and fundamentally more capable.
How We're Different
We're building the infrastructure for quantum superintelligence and pioneering new domains at the intersection of physics, engineering, and AI. At Sygaldry, curiosity and intellectual courage drive our work. We approach ambitious challenges with a grounded, optimistic, and rigorous culture and know that kind people build the strongest teams. We prioritize mission over ego and collaborate openly with a strong sense of shared purpose. We dream big, yet we execute with a love of detail. We're looking for scientists, engineers, and operators to forge new paths with us at the intersection of quantum and AI.
Culture & Benefits
Visa Sponsorship - We know what it takes to make top talent thrive here. We're open to supporting visas whenever possible.
Compensation - We value your contribution and invest in your future with a competitive salary and meaningful equity.
Benefits - Your well-being matters. We provide company-sponsored health coverage to give you and your family peace of mind.
Connection - Whether it's company offsite or casual crew socials, we make time to connect, recharge, and have fun together.
Time Off - We trust you to take the time you need. Unlimited PTO so you can rest, recharge, and come back ready to make an impact.
We encourage applications from candidates with diverse backgrounds. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
We encourage you to apply even if you do not believe you meet every single qualification. If you don't think this role is right for you, but you believe that you would have something meaningful to to contribute to our mission, please reach out at **********************
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$95k-160k yearly est. 1d ago
Behavioral Research Scientist ($140,000-$160,000 + Equity) at VC-backed AI simulation platform
Jack & Jill/External ATS
Research associate job in San Francisco, CA
This is a job that we are recruiting for on behalf of one of our customers.
To apply, speak to Jack. He's an AI agent that sends you unmissable jobs and then helps you ace the interview. He'll make sure you are considered for this role, and help you find others if you ask.
Behavioral Research Scientist
Salary: $140,000-$160,000 + Equity
Company Description: VC-backed AI simulation platform
Job Description:
Shape the cognitive and behavioral foundations of AI agents for a cutting‑edge simulation engine. This role involves applying scientific depth to model decision‑making, attention, and heuristics, impacting how next‑generation digital products are designed. Join a team at the intersection of AI, behavioral science, and product experimentation, bringing real‑world impact to scalable systems.
Location: San Francisco, USA
Why this role is remarkable:
Join a team creating category‑defining technology, building the simulation layer for adaptive software.
Backed by top‑tier VCs and product/engineering leaders from leading tech companies.
Apply deep behavioral science and cutting‑edge AI to solve complex product challenges with immediate impact.
What you will do:
Ground AI agents in validated behavioral and cognitive frameworks, modeling human decision‑making.
Translate behavioral theories into practical agent architectures, defining user clusters and personas.
Design and analyze in silico experiments to test agent responses and benchmark simulation realism.
The ideal candidate:
PhD or postdoc in Cognitive Science, Behavioral Economics, Psychology, or HCI.
Proven experience conducting original research on decision‑making or behavioral modeling in digital contexts.
Passionate about applying rigorous scientific research to real‑world, impactful AI systems.
How to Apply:
To apply for this job speak to Jack, our AI recruiter.
Step 1. Visit our website
Step 2. Click 'Speak with Jack'.
Step 3. Login with your LinkedIn profile.
Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions
Step 5. If the hiring manager would like to meet you, Jack will make the introduction
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$140k-160k yearly 4d ago
Research Scientist
Intology
Research associate job in San Francisco, CA
Join our core R&D team building end-to-end automated research systems.
📰 The 1st fully AI-generated scientific discovery to pass the highest level of peer review - the main track of an A* conference (ACL 2025). **************************************
Key Responsibilities
Design & implement novel architectures for automated research.
Collaborate with a focused group of researchers tackling problems at the forefront of long‑horizon agentic capabilities, post‑training for open‑ended goals, and environment development.
Publish internal key‑findings along with external collaboration success stories.
Qualifications
PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Exceptional candidates with strong research contributions are encouraged to apply regardless of formal degree.
Proven track‑record of high‑impact AI/ML research contributions in either the academic or corporate settings.
Expertise in developing long horizon. multi‑agent systems and/or model post‑training, with a focus on capabilities. Even better if built for scientific domains and/or open‑ended discovery purposes.
Passion for accelerating the process of problem‑solving & scientific discovery, with comfort in high‑autonomy roles & environments.
Our Culture
Competitive salary & equity packages.
Unlimited PTO with a focus on on‑site team‑building & communal work environment.
Conference attendance & involvement in community‑facing events.
High‑agency & responsibility.
#1: We are a small, dedicated group of top investors, researchers, and industry veterans, dedicated to the mission of accelerating discovery. Join us.
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$95k-160k yearly est. 4d ago
Research Scientist
Menlo Ventures
Research associate job in San Francisco, CA
About Goodfire
Behind our name: Like fire, AI holds the potential for both immense benefit and significant risk. Just as mastering fire transformed human history, we believe the safe and intentional development of AI will shape the future of our species. Our goal is to tame this new fire.
Goodfire is an AI interpretability research company focused on understanding and designing AI systems that people can trust. Our mission is to advance humanity's understanding of AI to build safe and powerful AI systems. We believe that deep research breakthroughs are necessary to make this possible.
Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world's top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We've raised $59M from investors like Menlo, Lightspeed and Anthropic and work with customers including Arc Institute, Mayo Clinic, and Rakuten.
About the role
We're looking for a Research Scientist to join our team and develop new techniques for understanding and steering large AI models. You'll work closely with a small, mission-driven team of scientists and engineers to conduct novel research, build practical tools, and push the field forward.
Where you might contribute:
Interpretability mechanisms - Foundational research on how models represent and process information.
Moonshots - High-upside bets on novel techniques that could unlock breakthroughs in model understanding.
Applied research & usability - Translating research into tools for real-world users and enterprise applications.
We'll determine your pod placement during the interview process based on your background and interests.
Key Responsibilities:
Conduct original research in interpretability and related fields.
Prototype techniques to visualize and manipulate internal model structures.
Collaborate with engineering to turn research into production-ready tools.
Share your work through publications, demos, and open-source contributions.
Help define and evolve our research direction.
Required experience
PhD or equivalent experience in ML, computer science, or a quantitative science.
Deep familiarity with large models and a passion for understanding how they work.
Fluency in Python and ML frameworks such as PyTorch.
Strong writing and communication skills for explaining complex ideas.
Drive to move quickly and take ownership.
Preferred qualifications
Experience leading research or contributing to open-source codebases.
Familiarity with interpretability, alignment, or safe model development.
Experience in startup or fast-paced lab environments.
Our values
Goodfire is looking for individuals who embody our values and share our deep commitment to making interpretability accessible. We are building a team first and foremost.
Put mission and team first
All we do is in service of our mission. We trust each other, deeply care about the success of the organization, and choose to put our team above ourselves.
Improve constantly
We are constantly looking to improve every piece of the business. We proactively critique ourselves and others in a kind and thoughtful way that translates to practical improvements in the organization. We are pragmatic and consistently implement the obvious fixes that work.
Take ownership and initiative
There are no bystanders here. We proactively identify problems and take full responsibility over getting a strong result. We are self-driven, own our mistakes, and feel deep responsibility over what we're building.
Action today
We have a small amount of time to do something incredibly hard and meaningful. The pace and intensity of the organization is high. If we can take action today or tomorrow, we will choose to do it today.
What we offer
This role offers market competitive salary, equity, and competitive benefits.
The expected salary range for this position is $200,000 - $400,000 USD
Most importantly, you'll have the opportunity to join a vital mission at an important point in its trajectory - we are developing groundbreaking technology with a world-class team on the critical path to ensuring a safe and beneficial future for humanity. If you want to do your life's work with us, even if you believe you do not meet every single requirement, apply now.
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$95k-160k yearly est. 5d ago
AI Security Research Scientist - Red Team & LLM Guardrails
Virtue Ai
Research associate job in San Francisco, CA
A pioneering AI security company located in San Francisco is seeking a Research Scientist to develop and enhance cutting-edge agent and machine learning security techniques. The ideal candidate will have expertise in Python and various LLM libraries, with a passion for innovation in a fast-paced startup environment. This role offers a competitive salary and the opportunity to work on groundbreaking AI solutions.
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$95k-160k yearly est. 5d ago
AI Research Scientist
Hum 3.8
Research associate job in San Francisco, CA
AI Researcher ai
Hum.ai is building planetary superintelligence. Backed by top funds, we've raised $10M+ and are now heads down building.
Join us at the cutting edge, where we're scaling generative transformer diffusion models, designing next-gen benchmarks, and engineering foundation models that go far beyond LLMs. You'll be at the core of a moonshot journey to define what's next in agentic AI and frontier model capabilities.
We are looking for an experienced AI Researcher who is eager to advance the frontier of AI, help us design, build, and scale end-to-end novel foundation models, and leverage their hands‑on experience implementing a wide range of pre‑training and post‑training models, including large foundation models (beyond just LLM fine‑tuning).
Who are we?
Hum is a seed‑funded startup on a mission to create positive impact through earth observation and AI. Founded at the University of Waterloo by a team of PhDs and engineers, we're backed by some of the best AI and climate tech investors like HF0, Inovia Capital and Propeller Ventures, angels like James Tamplin (cofounder Firebase) and Sid Gorham (cofounder OpenTable, Granular), and partners like Amazon AWS and the United Nations.
What do we do?
We're building multimodal foundation models for the natural world. We believe there's more to the world than the internet + more to intelligence than memorizing the internet. Our models are trained on satellite remote sensing and real‑world ground truth data, and are used by our customers in nature conservation, carbon dioxide removal, and government to protect and positively impact our increasingly changing world. Our ultimate goal is to build AGI of the natural world.
The role will involve:
Research & Design:
Deep understanding of current machine learning research.
Proven track record of generating new ideas or enhancing existing ones in machine learning, evidenced by first‑author publications or projects.
Contribute to research that uncovers the semantics of large datasets, with a focus on earth observation and remote sensing data.
Ability to independently manage and execute a research agenda, selecting impactful problems and conducting long‑term projects autonomously.
Implementation:
Developing high‑level proof‑of‑concept (POC) models.
Experimenting with new state‑of‑the‑art techniques to surpass existing models.
Plan and execute innovative research and development to push the boundaries of current technology.
Writing and Publication:
Assisting in the preparation and writing of technical and scientific papers for publication.
Demonstrated strong scientific communication/presentation skills.
Requirements
PhD degree in computer science, engineering, a related field, or equivalent experience.
Proven track record of successful machine learning research projects.
5+ years of experience in relevant jobs.
Strong scientific understanding of the field of generative AI.
Location wise, strong preference for in‑person in San Francisco. We are an entirely in‑person team, but are willing to consider remote for exceptional candidates.
Nice to have
Proficiency in scripting languages such as Python, Bash, or PowerShell.
Demonstrated experience with deep learning and transformer models.
Familiarity with designing, training, and fine‑tuning large models.
Proficiency in frameworks like PyTorch or TensorFlow.
Strong technical engineering skills.
Previous experience in creating high‑performance implementations of deep learning algorithms.
Team player, willing to undertake various tasks to support the team.
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$101k-167k yearly est. 2d ago
Research Scientist
Openai 4.2
Research associate job in San Francisco, CA
By applying to this role, you will be considered for Research Scientist roles across all teams at OpenAI. About The Role As a Research Scientist here, you will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization. We are looking for people who want to discover simple, generalizable ideas that work well even at large scale, and form part of a broader research vision that unifies the entire company.
We Expect You To
Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects.
Be excited about OpenAI's approach to research.
Nice To Have
Interested in and thoughtful about the impacts of AI technology.
Past experience in creating high-performance implementations of deep learning algorithms.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. #J-18808-Ljbffr
$106k-174k yearly est. 5d ago
Foundational LLM Research Scientist - Scaling & Efficiency
Aldea Inc. 3.9
Research associate job in San Francisco, CA
A multi-modal foundational AI company is seeking a Foundational AI Research Scientist to lead research on large-language-model architectures. The role involves designing and validating new transformer variants and attention mechanisms for production systems. Ideal candidates will have a Ph.D. and 3+ years of industry experience in AI research, with deep knowledge of sequence modeling architectures and pre-training of large models. The position offers a competitive salary, flexible PTO, and comprehensive benefits.
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$61k-94k yearly est. 1d ago
Molecular Biologist
Nufarm 4.8
Research associate job in West Sacramento, CA
It's official. We're the #1 best place to work in Agriculture, Mining and Utilities awarded by @FinancialReview and @Inventium
How can you grow with Nufarm?
NuFarm delivers VALUE BEYOND YIELD through dedicated service, locally proven Canola, Carinata, Sorghum and Sunflower seed for farm customers and new plant-based solutions for end-use customers globally. Our industry leading Beyond Yield Carinata and Omega-3 Canola products provide a truly sustainable platform recognizing the ever-evolving environmental challenges our world is facing. All of this is core to our global commitment and what sets us apart. Over 3000 NuFarm employees work across our global locations, including three world-class NuFarm Innovation Centers.
The Molecular Biologist is responsible for advancing molecular genotyping platforms and digital systems that enable seed product QAQC, marker discovery, and breeding applications. The role combines hands-on molecular biology, data analysis, and informatics with process innovation and cross-functional collaboration. This position supports global breeding, discovery, seed QAQC, and regulatory programs through the design, execution, and reporting of high-throughput molecular assays and through leadership of digital workflows such as the R&D LIMS.
Be part of building a better Nufarm
Lead marker validation and deployment across multiple crops, from early screening through assay optimization.
Select and curate genetic materials and reference controls to support marker discovery, validation, and QC.
Design and execute experiments for new trait markers, ensuring accuracy, reproducibility, and strong documentation.
Own end-to-end Seed QAQC genotyping request support for a global supply chain stakeholder network.
Manage the full QAQC workflow from sample receipt to traceable, accurate, and on-time report delivery.
Investigate and resolve stakeholder inquiries by troubleshooting lab workflows, seed production methods, and genetic profiles.
Execute genotyping workflows across KASP, qPCR, GBS, and WGS platforms using wet-lab techniques and automation.
Build and manage projects in LGC Kraken LIMS, including sample layout design, controls, and genotype cluster scoring/verification.
Analyze genotyping datasets using advanced Excel, R, and/or Python; diagnose data-quality issues and deliver clear stakeholder reports with final QAQC sign-off support.
Lead GBS platform operations and improvement (high-throughput sequencing, library prep/indexing, pipeline optimization) while driving digital transformation via LIMS implementation, training, and reference genotype database development.
Most importantly, you're positive, results driven, and you thrive off being empowered to own your own outcomes.
If you want to be a part of a thriving, supportive environment and are inspired by the prospect of being a part of something bigger, we'd love to hear from you. Nufarm is proud to be recognised as an endorsed employer of choice for all woman by Work180 taking out the #6 spot in 2025!
$69k-91k yearly est. 2d ago
Research Scientist in the Center for Brain and Health - Drs Bas Rokers and Kartik Sreenivasan
New River Community College 3.7
Research associate job in San Francisco, CA
The Center for Brain and Health (CBH) at New York University Abu Dhabi (NYUAD) is seeking a Research Scientist to explore scientific questions related to an in-progress normative brain database. The research scientist will be a key member of a multidisciplinary team responsible for collection of multimodal brain data, including MR imaging, MEG, EEG, and eye tracking. The tentpole of the CBH is the first normative brain database in the region, featuring structural, functional, diffusion MRI, behavioral and health measures, genetic information, and lifestyle questionnaires.
The anticipated appointment start date is May 1, 2026, with a guaranteed term of 18 months and the possibility of renewal based on performance.
Responsibilities
Explore scientific questions related to the normative brain database.
Conduct data collection and processing of multimodal MR imaging, MEG, EEG, and eye tracking.
Apply big‑data analysis techniques and advanced computational methods to brain imaging data.
Collaborate with the multidisciplinary research team.
Contribute to peer‑reviewed publications and scientific communication.
Qualifications
Ph.D. in Neuroscience, Psychology, MR Physics, Data Science, Computer Science, or a related field.
Postdoctoral experience or an equivalent level of experience preferred.
Extensive experience with multimodal MRI, including functional, structural, and tractography methods.
Proficiency in big‑data analysis techniques.
Experience with other large brain databases preferred.
Strong computational skills and a solid publication record.
Benefits
Competitive salary and benefits.
Housing allowance.
Other benefits as specified in the employment terms.
Application Instructions
Cover letter.
Curriculum vitae with a full publication list.
Transcript.
Statement of research interests.
Three representative publications.
Three letters of reference.
All materials must be submitted in PDF format. Applications are accepted immediately; please submit through the NYUAD careers page at ************************************************************* For questions, contact ************** or **************************.
UAE nationals are encouraged to apply.
Equal Employment Opportunity Statement
NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
Sustainability Statement
NYU aims to be among the greenest urban campuses in the country and achieve carbon neutrality by 2040. Learn more at nyu.edu/sustainability.
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$101k-126k yearly est. 4d ago
Assistant Manager(08266) - 13900 Palm Dr., Ste E
Domino's Franchise
Research associate job in Desert Hot Springs, CA
JOB DUTIES: Operate all equipment, Stock ingredients from delivery area storage, work area, walk-in cooler. Prepare product. Receive and process telephone orders. Take inventory and complete associated paperwork. Clean equipment and facility approximately daily. TRAINING: Orientation and training provided on the job. COMMUNICATION SKILLS: Ability to comprehend and give correct written instructions. Ability to communicate verbally with customers and co-workers to process orders both over the phone and in person. ESSENTIAL FUNCTIONS/SKILLS: Ability to add, subtract, multiply, and divide accurately and quickly (may use calculator). Must be able to make correct monetary change. Verbal, writing, and telephone skills to take and process orders. Motor coordination between wywe and hands/fingers to rapidly and accurately make presice movements with speed. Ability to enter orders using a computer keyboard or touch screen. WORK CONDITIONS: Exposure to: Varying and sometimes adverse weather conditions when removing trash and performing other outside tasks. In-store temperatures range from 36 degrees in cooler to 90 degrees and above in some work areas. Sudden changes in temperature in work area and while outside. Fumes from food odors. Exposure to commercial dust. Cramped quarters including walk-in cooler. Hot surfaces/tools from oven up to 500 or higher. Sharp edges and moving mechanical parts. SENSING: Talking and hearing on telephone. Near and mid-range vision for most in-store tasks. Depth perception. Ability to differentiate between hot and cold surfaces. TEMPERAMENTS: The ability to direct activities, perform repetetives tasks, work alone and with others, work under stress, meet estrct quality control standards, deal with people, analyze and compile data, make judgments and decisions. PHYSICAL DEMANDS STANDING: Most task are performed from a standing position. Walking surfaces include ceramic tile "Bricks" with linoleum in some food process areas. Height of work surfaces is generally between 36" and 48". WALKING:Walking is generally in short distances for short durations. SITTING:Paperwork is normally completed in an office at a desk or table. LIFTING: Bulk Products deliveries are made two times a week or more and are unloaded by the team member using a hand truck. Deliveries may include cases of ingredients and supplies weighing up to 60 pounds with dimensions up to 3' X 1.5'. Cases are ussualy lifted from the floor and stacked on to shelves up to 72" high. CARRYING: Large cans, weighing 3 pounds, 7 ounces, are carried from the workstation to storage shelves. Occasionally, pizza sauce weighing 30 pounds is carried from the storage room to the front of the store. Trays of the pizza dough are carried three at a time over short distances, and weigh approximately 12 pounds per tray. PUSHING: Pushing is performed to move trays which are placed in dollies. A stack of trays on a dolly is approximately 24" - 30" and requires a 7.5 pounds to push. Trays may also be pulled. CLIMBING: Team Members must infrequently navigate stairs or climb a ladder to change prices on signs, wash walls, perform maintenance. STOOPING/BENDING: Forward bending at the waist is necessary at the pizza assembly station. Toe room is present, but workers are unable to flex their kneeswhile standing at the station. Duration of this position is approximately 30-45 seconds at one time, repeated continuoslsy during the day. Forward bending is also present at the front counter and when stacking ingredients. CROUCHING /SQUATTING: Perfomed occasionally to stock shelves and to clean low areas. REACHING: Reaching is performed continuosly; up, down and forward. Workers reach above 72" occasionaly to turn on'off oven controls, change prices on sign, and lift and lower objects to and from shelves. Workers reaching down to perform such tasks as scooping cornmeal from plastic barrel, or washing dishes. Workers reach forward when obtaining topping ingredients, cleaning work surfaces, or answering phones. HAND TASKS: Eye-hand coordination is essential. Use of hands is continuous during the day. Frequently activities requiere use of one or both hands. Shaping pizza dough requires frequent and forceful use of forearms and wrist. Workers must manipulate a pizza peel when removing pizza from the oven, and when using rolling cutter. Frequent and/or forceful pinching is required in the assembly of cardborad pizza boxes. Team members must be able to grasp cans, the phone, the pizza cutter and the pizza peel, and pizza boxes. MACHINES, TOOLS, EQUIPMENT, WORK AIDS: Team members may be required to utilize pencil/pens, computers, telephones, calculators, TDD equipment, pizza cutter and pizza peel. JOB DUTIES: Deliver product by car and thhen to door of customer. Deliver flyers and doorhangers or any marketing materials. REQUIERES: Valid Driver License with safe driving recor meeting company standards. Access to insured vehicle which can be used for delivery. ESSENTIAL SKILLS: Navigational skills to read a map, locate addresses within designated delivery area. Must navigate adverse terrain including multy-story buildings, private homes, and other delivery sites while carrying product. PHYSICAL DEMANDS: CARRYING: During delivery, carry pizzas, sides and beverages while performing "walking" and "climbing" duties. DRIVING: Deliver company products within a designated delivery area. A team member may make several deliveries per shift. WWALKING: Delivery personnel must travel the store and delivery vehicle and from delivery vehicle to customer's location and back. CLIMBING: During delivery of product, navigation of five or more flights of stairs may be required. WORK CONDITIONS: EXPOSURE TO: Varying and sometimes adverse weather conditions when delivering product, driving and couponing. SENSING: Far vision and night vision for driving.
$38k-61k yearly est. 3d ago
shift supervisor - Store# 09593, PALM DR. & TWO BUNCH PALMS
Starbucks 4.5
Research associate job in Desert Hot Springs, CA
**Crafting the world's finest coffee, one meaningful moment at a time** We believe in creating a warm and welcoming space where every cup of coffee sparks connection. Every shift is a chance to brighten someone's day. As a shift supervisor you will lead with craft and heart to make your coffeehouse a welcoming space for your community.
We are invested in your growth journey, empowered through developmental experiences as well our industry leading benefits .
**Basic Qualifications**
+ Maintain regular and consistent attendance and punctuality, with or without reasonable accommodation
+ Available to work flexible hours that may include early mornings, evenings, weekends, nights and/or holidays
+ Meet store operating policies and standards, including providing quality beverages and food products, cash handling and store safety and security, with or without reasonable accommodations
+ Six (6) months of experience in a position that required constant interacting with and fulfilling the requests of customers
+ Prepare and coach the preparation of food and beverages to standard recipes or customized for customers, including recipe changes such as temperature, quantity of ingredients or substituted ingredients
+ At least six (6) months of experience delegating tasks to other employees and/or coordinating the tasks of two (2) or more employees
**Knowledge, Skills and Abilities**
+ Ability to direct the work of others
+ Ability to learn quickly
+ Effective oral communication skills
+ Knowledge of the retail environment
+ Strong interpersonal skills
+ Ability to work as part of a team
+ Ability to build relationships
_As a Starbucks_ _partner_ _, you (and your family) will have access to medical, dental, vision,_ _basic_ _and supplemental_ _life insurance_ _, and_ _other voluntary insurance benefits_ _._ _Partners have access to_ _short_ _-_ _term and long_ _-_ _term disability,_ _paid parental leave,_ _f_ _amily_ _e_ _xpansion_ _r_ _eimbursement,_ _paid vacation_ _that_ _accrue_ _s starting_ _at .01961 hours based on a_ _40 hour_ _week up to_ _40 hours_ _annually (_ _64 hours_ _in California)_ _after an introductory period_ _,_ _sick time (_ _accrued at_ _1 hour for every_ _25 or 30 hours worked_ _,_ _depending on work location_ _),_ _and_ _additional pay_ _if working_ _on_ _one of_ _eight_ _observed_ _holidays_ _._ _Starbucks also offers_ _eligible partners_ _participation in a_ _401(k)-retirement_ _plan_ _with employer match_ _,_ _a_ _discounted company stock_ _program_ _(S.I.P.), Starbucks equity program_ _(_ _Bean Stock_ _)_ _,_ _incentivized_ _emergency savings,_ _and_ _financial well-being tools_ _._ _Additionally, Starbucks offers_ _100%_ _upfront_ _tuition_ _coverage_ _for a first-time bachelor's degree through Arizona_ _State University's online program_ _via_ _the_ _Starbucks College Achievement Plan_ _, student loan management resources_ _,_ _and access to other educational_ _opportunities_ _._ _You will also have access to backup care_ _and_ _DACA reimbursement._ _Starbucks will_ _comply with_ _any applicable state and local laws_ _regarding_ _employee leave benefits, including, but not limited to providing time off_ _pursuant to_ _the Colorado Healthy Families and Workplaces Act,_ _in accordance with_ _its_ _plans and_ _policies._ _This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative._
_For_ _additional_ _information regarding partner_ _perks_ _and more_ _detailed_ _information_ _regarding_ _benefits, go to_ _starbucksbenefits.com_ _._
_At Starbucks, it is typical for new partners to be hired at the entry point of the range for their role, which is based upon geographic location. Individual compensation decisions are dependent upon the facts and circumstances of each position and candidate._
_Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances._
_Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at_ _applicantaccommodation@starbucks.com_ _or ***************._
$28k-40k yearly est. 55d ago
Micro Tech OR Microbiology Technologist
K.A. Recruiting
Research associate job in Rancho Mirage, CA
New CLS (Micro) opening in CA!
ASCP (or equivalent) required
This is a permanent, full-time position with great pay and benefits.
Click APPLY today.
If you are interested in learning more, or if you are a laboratory professional looking for a new position, contact Marina - call/text 617-430-7080 or email your resume to marina@ka-recruiting.com
Or book a 5 minute phone call here: https://calendly.com/marinaka/job-opportunity-information-meeting
$37k-54k yearly est. 20d ago
Staff Research Associate 2 (non-exempt) Browns Valley, CA, Job ID 79592
University of California Agriculture and Natural Resources 3.6
About the Team
The Strategic Deployment team makes frontier models more capable, reliable, and aligned to transform high-impact domains. On one hand, this involves deploying models in real-world, high-stakes settings to drive AI-driven transformation and elicit insights-training data, evaluation methods, and techniques-to shape our frontier model development. On the other hand, we leverage these learnings to build the science and engineering of impactful frontier model deployment.
As a key element of this effort, OpenAI for Science aims to harness AI to accelerate the process of scientific research. This involves building models and an AI-powered platform that speeds up discovery and helps researchers everywhere do more, faster.
About the Role
As a Research Scientist focused on the mathematical sciences, you will help build models, tools, and workflows that move theoretical research-in fields such as mathematics, theoretical physics, and theoretical computer science-forward. You\'ll design domain-specific data and signals, shape training and evaluation, guide how to wire models to scientific tools, and work with the academic community to speed up adoption and impact.
We\'re looking for people who...
Hold a current or recent academic position in mathematical sciences (mathematics, theoretical physics, theoretical computer science) or a related field
Regularly use frontier models in their own research
Move easily between theory and code, and are eager to contribute technically as well as academically
Either know or are eager to learn modern AI and run AI experiments end-to-end
Are strong scientific communicators
Care about rigor and reproducibility in scientific results
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will
Assist in designing and building frontier AI models that are great at solving frontier mathematical sciences problems
Build high-quality scientific datasets and synthetic data pipelines (symbolic, numeric, and simulator-based)
Design reinforcement and grading signals for physics and run reinforcement learning/optimization loops to improve model reasoning
Define and run evals for scientific reasoning, derivations, simulations, and literature grounding; track progress over time
Partner with research labs and the academic community
Drive adoption of frontier AI within the scientific community
Uphold high standards for safety, data governance, and reproducibility
You might thrive in this role if you
Are passionate about pushing the boundaries of your field using AI
Have used ChatGPT to do calculations and prove or improve lemmas in your field of study
Communicate clearly to both scientists and AI engineers; you like collaborating across teams and with academia
Nice to have
Open-source contributions to mathematical science or AI tooling
Experience building or curating domain datasets and benchmarks
Experience engaging a research community (teaching, workshops, tutorials, standards)
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI\'s Affirmative Action and Equal Employment Opportunity Policy Statement.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation Range: $380K - $460K
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$106k-174k yearly est. 5d ago
Senior AI Researcher: Foundation Models for Earth Data
Hum 3.8
Research associate job in San Francisco, CA
A cutting-edge AI startup is seeking an experienced AI Researcher to drive innovative research in generative AI and build multimodal foundation models. Ideally located in San Francisco, the candidate will require a PhD and 5+ years in the field. Responsibilities include designing and implementing models, conducting independent research, and publishing findings. This role is central to advancing AI for earth observation and creating a positive impact.
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How much does a research associate earn in Indio, CA?
The average research associate in Indio, CA earns between $38,000 and $89,000 annually. This compares to the national average research associate range of $41,000 to $87,000.