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WW Executive Briefing Center Briefing Partner
Apple Inc. 4.8
Research associate job in Cupertino, CA
Cupertino, California, United States Sales and Business Development
Imagine what you could do here. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry‑leading environmental efforts. Join Apple, and help us leave the world better than we found it. The Sales organization generates the revenue needed to fuel our ongoing development of products and services. This in turn, enriches the lives of hundreds of millions of people around the world. Our sales team, is in many ways, the face of Apple to our largest customers. Apple is seeking a Briefing Partner for the Executive Briefing Center (EBC). The EBC hosts Apple's most strategic customers and partners for experiences that strengthen relationships and advance business development goals. In this role, you will orchestrate and deliver tailored briefings that create meaningful connections and drive business outcomes. As the primary point of contact for each executive engagement, you will ensure every touchpoint of the pre, during, and post‑briefing journey reflects Apple's commitment to excellence.
Description
Partner with sales teams to define clear and achievable briefing objectives that align with sales goals and customer needs
Curate briefing agendas that address customer challenges, showcase the full value of the Apple platform, and build advocacy for Apple
Collaborate with speakers to tailor content and demos based on the briefing objectives and the customer's relationship with Apple
Manage speaker preparation, including providing context, facilitating rehearsals, and ensuring role clarity for all Apple participants
Coordinate the development of brief documents for Apple executives to give them background context for briefings they attend
Collaboratively partner with cross‑functional teams like catering, facilities, and security to create a high‑touch executive engagement
Own the orchestration of internal and external participants and partners to ensure a seamless experience
Serve as the primary host and guide for customers and partners throughout their EBC journey
Present key content and facilitate groups of 5 to 50 participants, synthesizing and adapting real‑time to ensure a briefing achieves its goals and resonates with the customer
Deliver a customer experience that is uniquely Apple, with sharp attention to detail
Capture end‑of‑day feedback and share with the account team and sales leadership to drive follow‑up and measurable outcomes
Demonstrate cultural sensitivity and awareness in all customer and partner interactions
Identify the content and experiences that resonate with customers, and maintain feedback loop to inform future briefings
Stay up‑to‑date on latest briefing center innovations, and maintain technical savvy to address in‑the‑moment issues with AV, Apple devices, and collaboration tools
Minimum Qualifications
8+ years of experience in executive relationship management, executive engagement, high‑touch customer environments, or equivalent
Proven ability to present to and facilitate strategic discussions with C‑Suite leaders
Proven ability to manage multiple partners and coordinate cross‑functional teams
Exceptional communication and interpersonal skills with experience collaborating with senior executives
Strong project management capabilities with attention to detail and ability to manage competing priorities
Experience with hospitality excellence and customer experience optimization
Cultural awareness and sensitivity when working with diverse, international audiences
Experience using desktop and AV solutions
Preferred Qualifications
Experience in executive briefing centers, corporate events, or B2B customer success environments
Experience managing executive‑level communications and briefing materials
Familiarity with Apple's products, services, and culture
Bachelor's degree or equivalent experience
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $146,800 and $221,200, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Apple accepts applications to this posting on an ongoing basis.
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$146.8k-221.2k yearly 4d ago
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Knowledge Graphs & Temporal AI Research Scientist
Sentra
Research associate job in San Francisco, CA
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 1d ago
Research Scientist
Martian 3.9
Research associate job in San Francisco, CA
### As a research scientist with Martian, you will develop new techniques to understand how AI models work. This work will focus on exploring and improving a technique we call “model mapping”: converting transformers into more interpretable representations (such as programs). We are looking for people who can develop and scale up methods for making transformers more interpretable through model mapping and then understanding the transformers in the new domain we map to. Full details can be found here.
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$138k-219k yearly est. 2d ago
GenAI Research Scientist: LLMs & Generative Models
Menlo Ventures
Research associate job in San Francisco, CA
A leading AI technology company in San Francisco is seeking a Research Scientist to advance AI models and techniques. You'll work in a collaborative environment, focusing on novel research, and applying AI solutions to real-world challenges. Candidates with a Bachelor's or Master's degree and 2+ years of relevant experience are encouraged to apply, with a competitive salary range of $192,000 - $260,000.
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$192k-260k yearly 3d ago
AI Robotics Research Scientist: Shape Robotic Intelligence
Nimble 3.9
Research associate job in San Francisco, CA
A leading AI robotics firm based in San Francisco is seeking an AI Robotics Research Scientist. This role involves developing and training robotic AI models and working with an all-star team to tackle advanced robotics challenges. The ideal candidate will have a Ph.D. in Robotics or Computer Science and experience in deep learning and robotic hardware. A competitive salary range of $180,000 - $250,000 plus equity is offered, along with strong benefits that include paid time off, health insurance, and 401k contributions.
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$180k-250k yearly 5d 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 1d ago
LLM Post-Training Research Scientist - SF On-site
Solana Foundation 4.5
Research associate job in San Francisco, CA
A pioneering AI company in San Francisco is seeking a talented AI Researcher to push the boundaries of custom AI research and model training. You will lead experiments in model architectures and fine-tune techniques for efficiency, collaborating with a skilled team. Ideal candidates have a strong background in training with PyTorch and experience in optimizing LLMs. This role offers competitive compensation ranging from $250K to $350K, along with equity and benefits.
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$99k-164k yearly est. 2d ago
Research Scientist - Drive Scalable ML & Broad Impact
Openai 4.2
Research associate job in San Francisco, CA
An established industry player is seeking a passionate Research Scientist to innovate and advance machine learning techniques. This role offers the opportunity to develop impactful research while collaborating across teams to push the boundaries of AI. Ideal candidates will have a track record of innovation, a strong understanding of deep learning algorithms, and a commitment to the ethical implications of AI technology. Join a forward-thinking organization dedicated to ensuring AI benefits all of humanity and play a pivotal role in shaping the future of technology.
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$106k-174k yearly est. 2d ago
Research Scientist, AI
Substrate 3.9
Research associate job in San Francisco, CA
Substrate is addressing one of the most important technological problems facing the United States. At the intersection of advanced manufacturing and cutting‑edge physics, we are developing technologies that will reshape the semiconductor industry and strengthen America's technological leadership. We are a team of world‑class scientists, engineers, and technical experts building technology for the United States.
Summary
As a Research Scientist working with AI, you will accelerate and augment R&D workflows by applying machine learning to scientific simulations and modeling while simultaneously building internal AI capabilities across the organization. This role sits at the intersection of cutting‑edge physics and artificial intelligence, and you'll work hands‑on to develop AI‑augmented tools that enable breakthrough research, and build the infrastructure and expertise that empowers our technical teams to leverage AI in their own work. Whether you are a physicist who has embraced machine learning or an AI expert with deep scientific domain knowledge, you will play a pivotal role in defining how we utilize AI to accelerate our own internal R&D.
Responsibilities
Integrate machine learning techniques to accelerate scientific simulations, modeling, and computational workflows
Develop AI‑augmented tools for materials science, device physics, or accelerator physics applications
Build internal AI infrastructure and capabilities to enable research teams across the organization
Train and mentor scientists and engineers on integrating AI/ML into their research workflows
Implement surrogate models, physics‑informed neural networks, or generative approaches for scientific problems
Develop data pipelines and frameworks for scientific machine learning across distributed teams
Collaborate with computational physicists and experimentalists to identify high‑impact AI applications
Set AI best practices and establish standards for ML‑augmented R&D
Required Qualifications
5+ years professional or academic research experience in physical sciences, engineering, or related field
2‑3+ years hands‑on experience applying machine learning to scientific or technical problems
Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow, JAX, or similar)
Deep understanding of scientific computing, numerical methods, and computational modeling
Proven ability to translate scientific problems into machine learning approaches
Experience building tools, infrastructure, or capabilities used by technical teams
Preferred Qualifications
PhD in Physics, Materials Science, Computer Science, Applied Mathematics, or related field
Publications applying ML to scientific computing, simulation, or experimental data analysis
Experience with physics‑informed machine learning or scientific foundation models
Background in accelerator physics, semiconductor devices, materials modeling, or related domains
Track record of enabling technical teams through tool development or mentorship
Salary Range
$150,000-$400,000 USD
Substrate is an equal opportunity employer. It provides equal employment opportunity to all applicants without regard to race, color, religion, national origin, disability, medical condition, marital status, sex, gender, age, military or veteran status, or any other characteristic protected by applicable federal, state, or local laws.
Substrate will provide reasonable accommodations to applicants with disabilities. If you need an accommodation during the hiring process, please let your recruiter know.
Applicants must be legally authorized to work in the United States. This position is not eligible for visa sponsorship.
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$100k-166k yearly est. 4d ago
Research Scientist (diffusion)
Genmo
Research associate job in San Francisco, CA
We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation.
Key responsibilities
Lead research initiatives in advanced diffusion models for text-to-video generation, focusing on improving visual quality, temporal consistency, and semantic fidelity
Develop and implement state-of-the-art algorithms for translating textual descriptions into dynamic video content
Design and conduct rigorous experiments to validate new ideas and evaluate model performance
Collaborate with cross-functional teams to integrate research breakthroughs into our production pipeline
Stay at the cutting edge of the field by regularly reviewing academic literature and attending top-tier conferences
Contribute to the research community through high-quality publications and open-source contributions
Mentor junior researchers and foster a culture of innovation within the research team
Work closely with product teams to align research directions with user needs and market opportunities
Qualifications
Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field
Must have:
Strong publication record in top-tier conferences (e.g., CVPR, ICCV, NeurIPS, ICML) with a focus on generative models, particularly diffusion models
Extensive experience implementing and optimizing large-scale generative models for image or video tasks
Deep understanding of state-of-the-art techniques in text-to-image and text-to-video generation
Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
Excellent communication skills with the ability to explain complex technical concepts to diverse audiences
Proven ability to work collaboratively in a team environment
Ideal candidate will have:
Postdoctoral or industrial research experience in generative AI for video
Hands-on experience with text-to-video generation projects
Expertise in other generative model architectures (e.g., GANs, VAEs) and their applications to video
Experience working with large-scale datasets and distributed computing environments
Track record of successful collaboration with product teams on technology transfers
Familiarity with video codecs, compression techniques, and perceptual quality metrics
Contributions to open-source projects in the field of generative AI
Additional information
The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation.
Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.
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$95k-160k yearly est. 2d ago
Research Scientist: Long-Video Gen & Temporal Modeling
Hedra, Inc.
Research associate job in San Francisco, CA
A generative media company in San Francisco seeks a Research Scientist to develop innovative architectures for long-form video generation. The ideal candidate will have a PhD in Machine Learning or a related field, expertise in auto-regressive modeling, and proficiency in Python and PyTorch. This role offers competitive compensation and valuable experience in the evolving field of AI-driven content creation.
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$95k-160k yearly est. 4d ago
Research Scientist - Applied AI
P-1 Ai Inc.
Research associate job in San Francisco, CA
About P-1 AI:
We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world-helping mankind conquer nature and bend it to our will. Our first product is Archie, an AI engineer capable of quantitative and spatial reasoning over physical product domains that performs at the level of an entry‑level design engineer. We aim to put an Archie on every engineering team at every industrial company on earth.
Our founding team includes the top minds in deep learning, model‑based engineering, and industries that are our customers. We just closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).
About the Role:
We're seeking an exceptional AI Research Scientist to help us push the boundaries of AI applied to the physical world. This role blends cutting‑edge AI research with hands‑on engineering, and is ideal for someone who thrives at the intersection of ideas and implementation. You'll be leading projects that develop agentic AI systems designed to solve real‑world mechanical, electrical, and aerospace engineering problems-systems that think, remember, act, and adapt.
This is not a “pure research” position: we're looking for a hacker‑scientist hybrid-someone who's published in top venues but is not afraid of any layer in the tech stack.
What You'll Do:
Design and implement agentic systems that autonomously solve physical engineering tasks.
Develop advanced memory, retrieval, and planning architectures for LLM‑based agents.
Apply (or invent) reinforcement learning strategies for reasoning, planning, and online adaptation.
Contribute to both research strategy and technical implementation-this is a hands‑on role.
Collaborate with a small, elite team of researchers and engineers across domains.
Stay on the edge of what's possible and bring promising ideas into reality.
About you:
Have experience at the frontier of AI research (e.g., LLMs, RL, memory systems, agent architectures).
Are passionate about applied problems-especially in mechanical, aerospace, or electrical engineering domains.
Are fluent in Python and major ML/AI frameworks (PyTorch, JAX, etc.).
Thrive in fast‑moving environments and feel comfortable working towards underspecified goals.
Have a “whatever it takes” mindset: you're the kind of person makes things work.
Can go from whiteboard to working prototype without waiting for someone else to “engineer” it.
Preferred Qualifications:
PhD in Computer Science, Robotics, Engineering, Math, or a related technical field (or equivalent experience).
Relevant publications in top‑tier venues of your field.
Experience with physical engineering domains a plus.
Familiarity with agent tool‑use, retrieval‑augmented generation, or long‑term memory systems.
Deep knowledge of reinforcement learning algorithms and practical challenges.
Interview process:
Initial screening - Head of Talent (30 mins)
Hiring manager interview - Head of AI (45 mins)
Technical Interview - AI Chief Scientist (45 mins)
Culture fit / Q&A (maybe in person) - with co‑founder & CEO (45 mins)
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$95k-160k yearly est. 1d ago
Research Scientist
Twelvelabs
Research associate job in San Francisco, CA
Who We Are
At TwelveLabs, we are pioneering the development of frontier multimodal foundation models that can see, hear and understand the world as humans do. Our models have redefined the standards in video-language modeling, allowing developers to build programs with state-of-the-art semantic search, summarization and analysis capabilities.
TwelveLabs has raised $107 million in Seed + Series A funding from world-class VC & corporate partners: NVIDIA, NEA, Radical Ventures, Index Ventures, Snowflake and Databricks. Our advisory team features AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation.
About the Science Team
The Science team is at the forefront of multimodal AI research, tackling the most critical technical challenges in video understanding. Our core research areas include video embedding and search, multimodal language models capable of reasoning over video content, and intelligent agents that can interact with and analyze video data.
We go beyond academic research: our goal is to ensure that research outcomes are directly integrated into products and platforms, delivering real value to users. We work closely with the Engineering and Product teams and foster a collaborative culture centered around open communication and dynamic idea exchange.
About the Role
As a Research Scientist, you will play a key role in driving TwelveLabs' core technology research and helping define its direction. You'll conduct pioneering work in video understanding, multimodal learning, and AI agents; identifying critical research problems, designing innovative solutions, and running effective experiments. This also involves developing data strategies and defining evaluation methodologies.
You will lead finetuning efforts for video embedding and video language models, closely collaborating with the MLE and Solutions Engineering team to productionize finetuning efforts. You'll collaborate closely with team leads, fellow scientists and researchers, clearly communicating your findings and contributing to TwelveLabs' broader research roadmap and culture.
What Makes This Role Unique at TwelveLabs
TwelveLabs takes a focus-and-collaborate approach to tackling complex video AI challenges. Rather than solving isolated problems, we work together as a unified team toward the broader goal of understanding video.
Our research philosophy strikes a balance between rigorous scientific experimentation and real-world application. We aim to build multimodal systems that are not only powerful, but also trustworthy and interpretable. Open communication and mutual learning are central to our culture, enabling us to quickly evolve ideas and pursue the most impactful research directions. These align closely with our core values: integrity, growth mindset, and tenacity.
You Might Be a Great Fit If You Have
We're looking for candidates with strong research experience in areas like video (multimodal) understanding, large language models, domain adaptation, representation learning, or action recognition; especially where those align with our mission. Your experience should be supported by past projects, your contributions, and related publications.
You should be capable of independently leading research projects from ideation to execution. Strong proficiency in Python and Pytorch is essential.
Excellent written and verbal communication in Korean as well as English is a bonus.
A Phd or Masters Degree in addition to significant research experience in computer science, AI, or related fields. Additional experience developing and deploying large-scale ML models in production, or optimizing large model training, is a major plus.
Even if there are a few checkboxes that aren't ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs.
We are a global company that values the uniqueness of each person's journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.
Benefits and Perks:
🤝 An open and inclusive culture and work environment.
🧑💻 Work closely with a collaborative, mission-driven team on cutting-edge AI technology.
🦷 Full health, dental, and vision benefits.
✈️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.
🛂 VISA support (such as H1B and OPT transfer for US employees).
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$95k-160k yearly est. 5d ago
Research Scientist/Engineer - Post-training, Inference, & Safety and Security
Virtue Ai
Research associate job in San Francisco, CA
Virtue AI is at the forefront of AI security & compliance. Our mission is to build the essential AI security platform with advanced and comprehensive guardrails and red‑teaming tools that enable organizations to deploy different AI applications confidently and responsibly in different sectors, such as finance, healthcare, telecom, retail, and government. Just as Palo Alto Networks redefined network security, our mission is to define and lead the new category of AI Security. We are a well‑funded, early‑stage startup founded by industry veterans, and we're looking for passionate builders to join our core team.
Are you a high‑performing, motivated machine learning engineer ready to make a significant impact in the AI security space? We are looking for talented engineers to develop cutting‑edge products on agent and LLM securities.
What You'll Do
As a Research Scientist, you will play a key role in developing production‑ready and cutting‑edge agent and ML security techniques. Your work will directly contribute to advancing our products and services and driving innovation within the industry.
You will:
Develop our core techniques for agent and model red‑teaming, including discovering novel testing paths, designing novel testing techniques, and developing automatic testing platforms
Develop and train our core guardrail models for different input modalities and defense targets and goals
Apply efficiency inference methods to reduce model latency
Work with the research engineers to integrate our developed techniques into products
What Makes You a Great Fit
You'll thrive in this role if you're excited by new technology, love solving customer problems, and can comfortably bridge the business and technical worlds.
Required qualifications:
Proficiency in programming languages such as Python, along with expertise in LLM libraries like PyTorch, DeepSpeed, OpenRLHF, vLLM, verl, etc
Experience in LLM finetuning for different modalities
Experience in building LLM‑based agents for various applications
Experience in conducting large‑scale red‑teaming for LLMs and agents
Preferred qualifications:
Hands‑on experience with Docker for containerization and deployment
Hands‑on experience in backend engineering (Go, C/C++) and front‑end development (Node.js, Typescript)
Enthusiasm for thriving in a fast‑paced startup environment
Strong problem‑solving skills and effective communication abilities
Why Join Virtue AI
Competitive base salary compensation + equity commensurate with skills and experience.
Impact at scale - Help define the category AI security and partner with Fortune 500 enterprises on their most strategic AI initiatives.
Work on the frontier - Engage with bleeding‑edge AI/ML and deploy AI security solutions for use cases that don't yet exist anywhere else yet.
Collaborative culture - Join a team of builders, problem‑solvers, and innovators who are mission‑driven and collaborative.
Opportunity for growth - Shape not only our customer engagements, but also the processes and culture of an early lean team with plans for scale.
Equal Opportunity Employment
Virtue AI is an Equal Opportunity Employer. We welcome and celebrate diversity and are committed to creating an inclusive workplace for all employees. Employment decisions are made without regard to race, color, religion, sex, gender identity or expression, sexual orientation, marital status, national origin, ancestry, age, disability, medical condition, veteran status, or any other status protected by law.
We also provide reasonable accommodations for applicants and employees with disabilities or sincerely held religious beliefs, consistent with legal requirements.
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$95k-160k yearly est. 2d ago
Research Scientist - Generative Modeling
World Labs
Research associate job in San Francisco, CA
We are seeking a talented Research Scientist specializing in generative modeling and diffusion models to join our modeling team. This role is ideal for someone who is an expert at pre-training or post-training of large-scale diffusion models for images, videos, or 3D assets or scenes.
You will collaborate closely with researchers, engineers, and product teams to bring advanced 3D modeling and machine learning techniques into real-world applications, ensuring that our technology remains at the forefront of visual innovation. This role involves significant hands-on research and engineering work, driving projects from conceptualization through to production deployment.
Key Responsibilities
Design, implement, and train large-scale diffusion models for generating 3D worlds
Develop and experiment with post-training for large-scale diffusion models to add novel control signals, adapt to target aesthetic preferences, or distill for efficient inference
Collaborate closely with research and product teams to understand and translate product requirements into effective technical roadmaps.
Contribute hands-on to all stages of model development including data curation, experimentation, evaluation, and deployment.
Continuously explore and integrate cutting-edge research in diffusion and generative AI more broadly
Act as a key technical resource within the team, mentoring colleagues, and driving best practices in generative modeling and ML engineering
Ideal Candidate Profile
3+ years of experience in generative modeling or applied ML roles, ideally at a startup or other fast-paced research environment
Extensive experience with machine learning frameworks such as PyTorch or TensorFlow, especially in the context of diffusion models and other generative models
Deep expertise in at least one area of generative modeling: pre-training, post-training, diffusion distillation, etc for diffusion models
Strong history of publications or open-source contributions involving large-scale diffusion models
Strong coding proficiency in Python and experience with GPU-accelerated computing.
Ability to engage effectively with researchers and cross-functional teams, clearly translating complex technical ideas into actionable tasks and outcomes.
Comfortable operating within a dynamic startup environment with high levels of ambiguity, ownership, and innovation.
Nice to Have
Contributions to open-source projects in the fields of computer vision, graphics, or ML.
Familiarity with large-scale training infrastructure (e.g., multi-node GPU clusters, distributed training environments).
Experience integrating machine learning models into production environments.
Led or been involved with the development or training of large-scale, state-of-the-art generative models
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$95k-160k yearly est. 5d ago
Quantum-Accelerated Generative AI Research Scientist
Sygaldry Technologies
Research associate job in San Francisco, CA
A quantum-accelerated AI firm is seeking an ML Research Scientist in San Francisco. The role involves advancing generative models and quantum integration for improved AI capabilities. Ideal candidates have deep expertise in diffusion models and experience with ML frameworks. This position offers a competitive salary, equity, and strong benefits, promoting a unique culture centered on curiosity and collaboration.
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$95k-160k yearly est. 3d 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. 1d 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. 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. 4d ago
Video Generative AI Research Scientist - Real-Time Media
Rethink Recruit
Research associate job in Palo Alto, CA
A cutting-edge technology firm in Palo Alto is seeking a Video Generative AI Research Scientist / Engineer. In this role, you will lead the design and training of advanced generative models for video and collaborate closely with teams to bring innovative interactive experiences to life. Requirements include a PhD in Computer Science or related field, strong experience in generative modeling, and proficiency in ML frameworks. Competitive salary and equity offered.
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How much does a research associate earn in Berkeley, CA?
The average research associate in Berkeley, CA earns between $40,000 and $99,000 annually. This compares to the national average research associate range of $41,000 to $87,000.
Average research associate salary in Berkeley, CA
$63,000
What are the biggest employers of Research Associates in Berkeley, CA?
The biggest employers of Research Associates in Berkeley, CA are: